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Accepted Manuscript Enhanced Kapandji test evaluation of a soft robotic thumb rehabilitation device by developing a fiber-reinforced elastomer-actuator based 5-digit assist system Kouki Shiota, Shota Kokubu, Tapio V.J. Tarvainen, Masashi Sekine, Kahori Kita, Shao Ying Huang, Wenwei Yu PII: S0921-8890(17)30808-4 DOI: https://doi.org/10.1016/j.robot.2018.09.007 Reference: ROBOT 3085 To appear in: Robotics and Autonomous Systems Please cite this article as:, Enhanced Kapandji test evaluation of a soft robotic thumb rehabilitation device by developing a fiber-reinforced elastomer-actuator based 5-digit assist system, Robotics and Autonomous Systems (2018), https://doi.org/10.1016/j.robot.2018.09.007 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
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Page 1: Accepted Manuscripthuangshaoying/wp-content/...PIP 0 100 20 28.7 DIP 0 80 10 19.7 15 MP: metacarpophalangeal, PIP: proximal inte rphalangeal, DIP: distal interphalangeal 16 17 Table

Accepted Manuscript

Enhanced Kapandji test evaluation of a soft robotic thumb rehabilitationdevice by developing a fiber-reinforced elastomer-actuator based 5-digitassist system

Kouki Shiota, Shota Kokubu, Tapio V.J. Tarvainen, Masashi Sekine,Kahori Kita, Shao Ying Huang, Wenwei Yu

PII: S0921-8890(17)30808-4DOI: https://doi.org/10.1016/j.robot.2018.09.007Reference: ROBOT 3085

To appear in: Robotics and Autonomous Systems

Please cite this article as:, Enhanced Kapandji test evaluation of a soft robotic thumb rehabilitationdevice by developing a fiber-reinforced elastomer-actuator based 5-digit assist system, Roboticsand Autonomous Systems (2018), https://doi.org/10.1016/j.robot.2018.09.007

This is a PDF file of an unedited manuscript that has been accepted for publication. As a service toour customers we are providing this early version of the manuscript. The manuscript will undergocopyediting, typesetting, and review of the resulting proof before it is published in its final form.Please note that during the production process errors may be discovered which could affect thecontent, and all legal disclaimers that apply to the journal pertain.

Page 2: Accepted Manuscripthuangshaoying/wp-content/...PIP 0 100 20 28.7 DIP 0 80 10 19.7 15 MP: metacarpophalangeal, PIP: proximal inte rphalangeal, DIP: distal interphalangeal 16 17 Table

Title 1

Enhanced Kapandji Test Evaluation of a Soft Robotic Thumb Rehabilitation Device by 2

Developing a Fiber-reinforced Elastomer-Actuator Based 5-Digit Assist System 3

4

Author 5

Kouki Shiota1, Shota Kokubu2, Tapio V. J. Tarvainen1, Masashi Sekine3, Kahori Kita3, Shao Ying 6

Huang4, Wenwei Yu3 7 1Graduate School of Engineering, Chiba University 8

[email protected],[email protected] 9 2Engineering Department, Chiba University 10

[email protected] 11 3Center for Frontier Medical Engineering, Chiba University, Chiba, Japan 12

[email protected], [email protected], [email protected] 13 4Engineering Product Design, Singapore University of Design and Technology 14

[email protected] 15

16

Abstract 17

The main function of human hands is to grasp and manipulate objects, to which the 18

thumb contributes the most. Various robotic hand rehabilitation devices have been developed for 19

providing efficient hand function training. However, there have been few studies on thumb 20

rehabilitation devices. Previously, we proposed a soft thumb rehabilitation device which is based 21

on a parallel-link mechanism, driven by two different types of soft actuators. In this study, the 22

device was integrated into a 5-digit assist system, in which fiber-reinforced elastomer actuators 23

with improved bending angles, forces, and degrees of freedom were assembled onto a forearm 24

socket. The device was evaluated by an enhanced Kapandji-Test, which included also a pressing 25

force measurement in addition to the reachable positions of the thumb on the opposing fingers. 26

The results showed that with the proposed approach, thumb functions for hand rehabilitation 27

could be realized, which paves the way towards a full hand rehabilitation package with the 5-digit 28

soft robotic hand rehabilitation system. 29

30

Keywords: 31

Fiber-reinforced Elastomer Actuators (FEA), Enhanced Kapandji Test, Hand Rehabilitation, 32

Thumb Function, Soft Actuators, Pneumatic Artificial Rubber Muscle 33

34

1. Introduction 35

Stroke is a big social problem worldwide. In 2010, there were 17 million new stroke 36

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cases in the world, and the number of stroke patients was reported to be 33 million. These 1

figures have also been predicted to double in the next 15 years [1]. Most common impairments 2

after stroke are motor deficits, such as hemiparesis, which is experienced by approximately 80% 3

of stroke survivors [2]. These patients experience either partial or total absence of hand motor 4

function, which can considerably reduce quality of life, because of major restrictions on activities 5

of daily living (ADL) and ability to work. 6

Rehabilitation is provided under the direction and assistance of a rehabilitation staff, 7

such as an occupational therapist or a physiotherapist, in order to help the patients restore their 8

functions to improve their ability to perform ADLs adequately for their returning to normal life. 9

Especially repetitive task practice has been shown to be effective in improving motor function 10

after stroke [3, 4]. Generally, rehabilitation is labor intensive and costly due to the required long 11

hours and terms of training. 12

The main function of human hands is to grasp and manipulate objects. Recently, many 13

robotic hand rehabilitation systems have been developed to automate some of the therapy for 14

providing efficient hand function training [4, 5, 6]. However, there have been few studies on 15

thumb rehabilitation devices. This might be because thumb motions are difficult to assist: it has a 16

wide range of motion (ROM), multiple degrees of freedom are coupled with each other, and the 17

first metacarpal bone is surrounded by a thick layer of soft tissues, which makes it difficult to 18

attach a supporting device. This is not trivial because the thumb contributes to most object 19

grasping and manipulation functions. Losing the thumb causes a 40% loss of overall hand 20

function [7]. Therefore, the thumb could be considered the most important target in hand 21

rehabilitation. 22

In recent years, robotic rehabilitation devices that use soft fluidic actuators with high level of 23

elasticity have been studied [5, 8, 9]. Soft fluidic actuators are light, flexible, and ready for easy 24

maintenance. These properties make them inherently safer, and more cost-effective than many 25

other actuation systems that are based on rigid mechanics. Thus, they would be a good choice 26

for rehabilitation, which requires high level of safety, and relatively low cost, as the goal is to 27

replace or relief the intensive labor. However, thumb rehabilitation with soft robotic gloves with 28

three degrees of freedom, namely the abduction-adduction, extension-flexion, and 29

opposite-reposition, has not been investigated in detail, though it is clear that, the thumb function 30

is very important in many upper limb activities of daily living (ADL). In [8], authors presented a 31

soft robot hand that could assist hand function including a 2-DoF thumb support. In their solution, 32

one actuator for thumb function support was placed on the palm, which might cause difficulty to 33

perform some grasping functions that use whole palm. Moreover, although different grasping 34

configuration has been realized, the ROM, the force and reaching ability to oppose the other 35

fingers, have not been sufficiently tested. 36

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2

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(Mck7

8

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scles) for thr

ber-reinforce

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mechanism d

ction. We te

thumb assis

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was integrated

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and rehabilita

llows. In Ma

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soft robotic

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ested the thu

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that the han

ork in [5,8, 9

om, without

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system was

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ation for hom

aterials and

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Results sect

thumb rehab

al control of t

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umb function

proposed m

humb, we d

nd rehabilitat

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using the p

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and degree

evaluated by

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r evaluated b

put on a du

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me and in-faci

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are introduce

tion are also

ion with furth

bilitation devi

the first meta

r flexion [10]

And for the

pe-Artificial-M

assistance

mechanism

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tion could no

provides a

palm to cont

hanism and t

soft hand reh

s of freedom

y measuring

ulnar adducti

by an enhanc

ummy hand,

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ility stroke pa

ction, the im

d. The exper

explained in

her analysis

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acarpal bone

]

e carpometac

Muscle (MAM

by measurin

Fig. 1 show

uate graspin

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solution to t

tain any act

the other 4 fin

habilitation s

m, were asse

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and not on

ed. This is a

atients. The r

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rimental setu

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in the Discu

Ms

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ystem,

mbled

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ups for

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ussion

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section. Finally, the paper is concluded. 1

2

2. Materials and Methods 3

In this section, we describe the requirements for the actuators developed for the hand 4

rehabilitation system and thumb function, the design for improving the FEAs, the design of a 5

forearm socket for the wearable 5-digit hand assist device, and the experiments for evaluation. 6

7

2.1 Requirements for actuators developed for hand rehabilitation systems 8

The target values for joint ROMs and torques are listed up in Tables 1 and 2. The 9

ROMs were chosen based on the normal ROMs of the joints [11]. The target torque values were 10

set based on the values reached by previously developed devices [12, 13]. Moreover, the upper 11

limit was set so that the motion would not hurt the patients, when their joints are moved [12]. 12

13

Table 1: Requirements for finger assistance 14

Range of Motion Flexion Torque

Extension [deg] Flexion [deg] Target [cNm] Upper Limit [cNm]

MP 0 90 11.0 29.3

PIP 0 100 20 28.7

DIP 0 80 10 19.7

MP: metacarpophalangeal, PIP: proximal interphalangeal, DIP: distal interphalangeal 15

16

Table 2: Requirements for thumb assistance 17

Range of Motion Flexion Torque

Extension [deg] Flexion [deg] Target [cNm] Upper Limit [cNm]

MP 0 70 11.0 26.0

IP 0 90 20.0 24.8

18

The dimensions of phalanges (finger bones) vary to some degree between individuals. 19

In this study, a collaborating hemiparetic patient’s hand was measured (Table 3), with his written 20

agreement. The length of actuators for each digit and the distance between the chambers for 21

forming air pockets, were decided based on the measurements. 22

23

Table 3: Measurement results of a hemiparetic patient’s hand 24

Digit Little [mm] Ring [mm] Middle [mm] Index [mm] Thumb [mm]

Proximal Phalanx 33 38 43 37 30

Middle Phalanx 21 25 24 20

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.

Page 7: Accepted Manuscripthuangshaoying/wp-content/...PIP 0 100 20 28.7 DIP 0 80 10 19.7 15 MP: metacarpophalangeal, PIP: proximal inte rphalangeal, DIP: distal interphalangeal 16 17 Table

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16 mm x 16 m

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2

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Fig. 9: Torqu

cket FEAs

A 3-poc

g the motion

DIP joint, an

ased from 0

e between th

For mea

ed as shown

surement po

sured in the w

r measureme

step of 20 kP

11: Joint torq

ue measurem

ket FEA was

tracking sys

nd tip of the d

kPa to 280

e three mark

Fig. 10: M

asuring the

in Fig. 11.

int and poin

way slightly d

ent was then

Pa. The meas

ue measurem

ment setup fo

s fixed to a du

stem. The tra

dummy finge

kPa, in incre

kers above, o

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torque of the

Each joint's

ts of suppor

different with

n inflated, inc

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ment setup, w

inflated

or comparing

ummy index

acking marke

er (Fig.10). T

ements of 20

on, and below

ng measurem

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rt accordingl

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creasing the

as repeated t

with the cham

d to target pr

g the old and

finger, whos

ers were pla

The pressure

kPa. Each j

w the joint.

ment of a 3-p

the force ga

measured in

y. That is th

9. The cham

pressure gra

three times.

mber on the

ressure

new FEAs fo

se joint trajec

ced on the r

e inside the F

oint angle w

pocket FEA

auge and du

ndependently

e reason wh

mber corresp

adually from

dummy finge

or the thumb

ctory was rec

root, MP join

FEA was gra

was acquired

ummy finger

y by changin

hy the torqu

ponding to th

0 kPa to 280

er’s PIP joint

b.

corded

nt, PIP

dually

as an

r were

ng the

e was

e joint

0 kPa,

being

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2

2.4.33

7

abdu8

[15]. 9

abdu10

11

meas12

and o13

chang14

16

can b17

the fi18

press19

as sh20

17

18 19

20

21

22

Table24

to25

State

1

2

3

4

3 ROM o

The wid

ction-adduct

Based on t

ction-adduct

The ang

sured using f

on the wrist

ged as show

Moreove

be measured

rst metacarp

sure of each

hown in Table

e 4: Sequenc

o measure th

e ID Dorsal

20

18

16

14

of the thumb

de range of

tion motions.

the research

tion and radia

gle of thumb

four markers

t (Fig. 12 (L

wn in Table 4.

er, the angle

d through fou

pal bone, on

MAM (Dorsa

e 4. The mea

Fig. 12

L

Righ

ce of pressur

e palmar abd

Palmar abdu

[kPa] Ulna

00

80

60

40

b

f motion of

Many activit

h reported i

al abduction-

b palmar-ab

placed on th

Left)). The p

. The measu

e of thumb r

r markers sh

ne on the ind

al , Ulnar an

asurement w

measureme

Left: palmar

ht: radial abd

re changes fo

duction-addu

uction-adduc

ar [kPa] Pa

20

20

20

20

the CMC j

ties of everyd

n [16] and

-ulnar adduc

duction (

he thumb tip,

pressure of e

rement was

radial-abduct

hown in Fig.

dex DIP joint

d Palmar as

was repeated

ent of ROM o

abduction-ad

uction - ulna

for the three

uction and ra

ction

almar [kPa]

20

40

60

80

joint enable

day life requ

[17], the ta

ction angles w

) and pa

side of the b

each MAM

repeated for

tion ( )

12 (Right). T

t, and anoth

s shown in Fi

for three tim

of thumb mec

dduction ang

ar adduction a

MAMs drivin

adial abductio

Radial a

Dorsal [kPa

20

20

20

20

s the thum

ire these two

rget values

were both se

almar-adduct

ball joint, on t

for contracti

r three times

and ulnar-a

Two were pla

er on the ind

g. 1) was g

mes.

chanism

gle

angle

g the paralle

on-ulnar add

abduction-Ul

a] Ulnar [kP

20

40

60

80

b opposition

o complex m

of thumb p

et as 60 degr

tion ( )

the index DI

ion was gra

.

adduction (

aced on the s

dex MP join

gradually cha

el link mecha

duction motio

lnar adductio

Pa] Palmar

20

18

16

14

n and

otions

palmar

rees.

were

P joint,

adually

)

side of

t. The

anged

anism,

ons

on

r [kPa]

0

0

0

0

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5 120 20 100 20 100 120

6 100 20 120 20 120 100

7 80 20 140 20 140 80

8 60 20 160 20 160 60

9 40 20 180 20 180 40

10 20 20 200 20 200 20

11 20 40 200 20 180 40

12 20 60 200 20 160 60

13 20 80 200 20 140 80

14 20 100 200 20 120 100

15 20 120 200 20 100 120

16 20 140 200 20 80 140

17 20 160 200 20 60 160

18 20 180 200 20 40 180

19 20 200 200 20 20 200

20 40 180 180

21 60 160 160

22 80 140 140

23 100 120 120

24 120 100 100

25 140 80 80

26 160 60 60

27 180 40 40

28 200 20 20

1

2.4.4 The Kapandji test and its enhanced version 2

The Kapandji Test is one of the methods for evaluating thumb opposition. It gives a 3

score based on how many predefined positions the thumb can reach on the opposing fingers 4

(Fig. 13(Left)) [18]. By mounting the full hand assist system on the dummy hand, it is possible to 5

perform the Kapandji Test to evaluate position control of the assisted thumb. However, the 6

pressing force, which is important for hand function in daily living, could not be made clear 7

through the basic test. 8

In this study, we propose an enhanced Kapandji Test, in which not only the thumb to 9

opposing-finger position, but also the pressing force between the thumb and the opposing finger 10

for some of the scoring positions is measured. Here, the positions selected for pressing force 11

measurement were scoring positions 1-4, which are most frequently used opposing positions in 12

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daily 3

scorin4

7

press8

mm, 9

meas10

For e11

for a12

press13

oppo14

12

13

14

15

16

Right17

18

3. 19

3.1 20

R31

the s32

mean33

the m34

[deg] 35

press36

becau37

the m38

type. 39

an ad40

their 41

object mani

ng position 3

A press

sing force. Ru

height: 3 mm

surement.

each position

ll the releva

sures for all

sition.

t: The sensor

Results

Compariso

Results of to

tandard dev

n maximum b

mean maximu

at 200 [kPa

sure (50 kPa

use of the st

modified one

This allowed

dditional exp

resting state

ipulation [19

3.

sure sensor

ubber pads w

m) were plac

, the pressin

ant actuators

the actuato

F

Left: S

Middle

r for pressing

on betwee

orque and be

viations. In p

bending ang

um torque w

a]. Fig. 15 sh

, 100 kPa), th

trong constra

could be infl

d the modifie

periment, we

es within 0.39

9]. Figure 13

(Flexi Force

with a trunca

ced on both

ng force was

s. The mean

ors were cho

Fig. 13: Enha

coring positio

e: Pressing fo

g force meas

en previous

ending angle

revious type

le was 137 [d

was 36.1 [cN

hows the act

he modified a

aint from den

ated to highe

ed prototype t

e confirmed t

9�0.05s ( av

3 (Middle) sh

e A201-100,

ated cone sha

sides of the

measured fo

n and stand

osen empiric

anced Kapan

ons of the or

orce measure

surement

s and impro

e measureme

e, the mean

deg] at 150

m] and the m

tuators’ resp

actuators sh

nser reinforc

er pressures

to bend over

that, the mo

verage stan

hows the pre

Tekscan, In

ape (upper ra

e sensor to i

or 30 second

dard deviatio

cally to plac

ndji Test setu

riginal Kapan

ement for loc

oved FEAs

ent are show

maximum to

[kPa]. On the

mean maxim

onses at diff

owed a lowe

cement cotto

s, which was

r 170 [deg] at

odified protot

ndard deviati

essing force

c.) was use

adius: 9 mm,

ncrease the

ds to let the p

on were then

e the finger

up

ndji Test

cation 3

s

wn in Fig. 14

orque was 20

e other hand

mum bending

ferent pressu

r angle than

n threads. O

not possible

t a faster res

type actuato

on for 10 rep

measureme

ed to measu

, bottom radi

steadiness

pressures sta

n calculated

rs and thum

4. Error bars

0.5 [cNm] an

d, in modified

g angle was

ures. To the

the previous

On the other

e with the pre

ponse (Fig. 1

ors could ret

petitions), aft

ent for

re the

us: 11

of the

abilize

d. The

b into

show

nd the

d type,

169.7

same

s type,

hand,

evious

15). In

urn to

ter the

Page 14: Accepted Manuscripthuangshaoying/wp-content/...PIP 0 100 20 28.7 DIP 0 80 10 19.7 15 MP: metacarpophalangeal, PIP: proximal inte rphalangeal, DIP: distal interphalangeal 16 17 Table

air pressure is released. Considering the fact that the rehabilitation for stroke patients does not 1

require fast movement, the time response characteristics of these actuators is enough for the 2

application. 3

4

(a) Bending angle (b) Torque

Fig. 14: Comparison between previous FEAs and the modified type 5

6

(a) Previous type (b) Modified type

Fig. 15: Response time of previous and modified type FEAs 7

8

3.2 Evaluation of the 3-pocket FEAs 9

Fig. 16 shows the results of the bending angle and torque of each joint of the 3-pocket 10

FEA. The mean maximum bending angle was 68.9 [deg] for DIP joint, 73.2 [deg] for PIP joint, 11

and 109.1 [deg] for MP joint. For the DIP joint and PIP joint, the values were about 10 [deg] and 12

30 [deg] lower than the target angle values, respectively. Whereas, the angle of MP joint was 20 13

[deg] bigger than the target value. Regarding the torque of each joint, as shown in Fig. 16 14

0

50

100

150

200

0 25

50

75

100

125

150

175

200

Bending Angle [deg]

Pressure [kPa]

ModifiedPrevious

0

5

10

15

20

25

30

35

40

0 25

50

75

100

125

150

175

200

Torque [cN

m]

Pressure [kPa]

Modified

Previous

0

50

100

150

200

0 1 2 3 4 5

Bending Angle [deg]

Time [s]

0

50

100

150

200

0 1 2 3 4 5

Ben

din

g A

ng

le [

deg

]

Time [s]

50 [kPa]

100 [kPa]

150 [kPa]

200 [kPa]

100 [kPa]

125 [kPa]

50 [kPa]

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(Lower), the mean maximum torques were 9.8 [cNm], 13.5 [cNm], and 28.9 [cNm] for DIP, PIP, 1

and MP joint respectively. The torque of the PIP was even lower than the lower target value, 2

while that of the MP reached upper limit of the target value. The durability for long-term use will 3

be tested in the near future. 4

5

Fig. 16: Bending angle and torque results of the 3-pocket FEAs 6

7

DIP PIP MP

Bending Angle [deg]

DIP PIP MP

Torque [cNm]

‐10

0

10

20

30

40

50

60

70

80

90

0 60 120180240

Bending Angle [deg]

Pressure [kPa]

Target

‐20

0

20

40

60

80

100

120

0 60 120 180 240

Bending an

gle [deg]

Pressure [kPa]

Target

0

20

40

60

80

100

120

0 60 120180240

Bending an

gle [deg]

Pressure [kPa]

Target

0

5

10

15

20

25

0 60 120180240

Torque [cN

m]

Pressure [kPa]

limit

target

0

5

10

15

20

25

30

35

0 60 120180240

Torque [cN

m]

Pressure [kPa]

limit

target

0

5

10

15

20

25

30

35

0 60 120180240

Torque [cN

m]

Pressure [kPa]

limit

target

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3.3 Thumb palmar abduction-adduction and radial abduction-ulnar adduction 1

The results are shown in Fig. 17. As the state number increases, the pressure of the 2

palmar side increases (refer to Table 4), and the thumb moves to palmar abduction. The mean 3

maximum angle was 55.3 [deg] at state 20, and the mean minimum angle was 6.7 [deg] at state 4

1. Their difference was 48.6 degrees, which is lower than the target value. Similarly, the mean 5

maximum palmar abduction angle was 55.3 [deg] at state 20, and the mean minimum angle was 6

16.2 [deg] at state 28. Their difference was 39.1 [deg] 7

8

9

10

Fig. 17: measurement of thumb assist actuators 11

Upper: palmar abduction-adduction, Lower: radial abduction-adduction 12

13

On the other hand, as shown in Fig. 17 (Lower), the mean maximum radial adduction 14

angle was 47.3 [deg] at state 10, and the mean minimum angle was 10.7 [deg] at state 1. Their 15

difference was 36.6 [deg]. Similarly, the mean maximum ulnar abduction angle was 47.3 [deg] at 16

0

10

20

30

40

50

60

70

1 3 5 7 9 11 13 15 17 19 21 23 25 27

Angle [deg]

State Number

0

10

20

30

40

50

60

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19

Angle [deg]

state number

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state 9

[deg]10

recor11

three12

dorsa13

avera14

stroke15

mech16

10

3.4 11

17

scorin18

possi19

palm 20

given21

positi22

18

19

10, and the

. Regarding

rd the time n

e-direction ac

al, palmar

age�standar

e patients d

hanism is eno

Enhanced

The res

ng positions

ible to reach

of the curre

n under the

ion, but it wa

Locatio

Mean: 525

SD: 22

Locatio

Mean: 118

SD: 9.8

F

e mean minim

the time res

needed. The

ctuation of t

direction,

rd deviation

does not re

ough for the

d Kapandji

sults of the

1~5 but not

h, because it

nt dummy ha

figures for

as difficult to

n 1

5.5 [gf]

.4 [gf]

n 4

8.8 [gf]

[gf]

Fig. 18 The m

mum angle w

sponse of thu

results are

the mechani

respectively

for 10 repet

quire fast m

application.

Test

Kapandji Te

t positions 6~

t would have

and is rigid. T

positions 1-4

measure the

M

measurement

was 16.2 [de

umb mechan

similar to th

ism is 0.87

y. Note, th

titions. Cons

movement, t

est are show

~10. The sco

e required m

The mean pr

4. For posit

e pressing fo

Location 2

Mean: 504.7 [

SD: 1.2 [gf]

Location 5

t results of th

eg] at state

nism, we ha

at of the FE

0.20s, 0.58

he time r

sidering the

the time res

wn in Fig. 18

oring positio

motion of the

ressing force

ion 5, the th

rce effective

[gf]

he enhanced

19. Their dif

ve designed

EAs. The time

80.27s, 1.43

esponse is

fact that the

sponse char

8. The thum

ns on the litt

fifth metaca

es and stand

humb could

ly.

Lo

Mean

SD:

Kapandji Te

fference was

d an experim

e response

30.43s, in

s expresse

e rehabilitati

racteristics o

mb tip could

tle finger we

arpal, wherea

dard deviation

nearly reac

ocation 3

n: 165.4 [gf]

: 35.7 [gf]

est

s 31.1

ment to

of the

ulnar,

d as

on for

of the

reach

re not

as the

ns are

ch the

Page 18: Accepted Manuscripthuangshaoying/wp-content/...PIP 0 100 20 28.7 DIP 0 80 10 19.7 15 MP: metacarpophalangeal, PIP: proximal inte rphalangeal, DIP: distal interphalangeal 16 17 Table

2

4. 3

4.1 4

10

actua11

Thus12

highe13

The r14

usele15

4.2 11

19

while20

air po21

the m22

consi23

the p24

mode25

speci26

25

config26

contr27

FEAs28

using29

is to s30

26

27

28

4.3 29

31

type s32

Discussio

Compariso

Bulging

ators. Howev

, the modifie

er pressures,

response to

ess inflation.

Evaluation

The ben

e the MP joint

ockets. Since

material prope

idering those

ocket size. I

els will be es

ific hand disa

The adv

gurations do

ribute to the

s played a ro

g two of the t

say, it is impo

Straight

F

ROM of th

A comp

system [10]

on

on betwee

of the silicon

ver, it can be

ed type cou

, while the pr

the pressur

n of 3-pock

nding angles

t angle went

e the actuatio

erties, and re

e factors. In

n our next s

stablished to

ability.

vantage of th

o not relate

hand rehab

ole also in th

hree pockets

ortant to sele

Fig. 19 The 3

humb assis

parison betwe

is shown in T

en previous

ne between

e controlled b

ld achieve h

revious type

e was also f

ket FEAs

achieved fo

easily over t

on is the res

elative dimen

[20], [21] sim

tep towards

synthetically

e 3-pocket F

directly to

bilitation by e

he enhanced

s, for DIP and

ectively activ

Fist

3-pocket FEA

st device

een the wea

Table 5. The

s and modi

the reinforce

by decreasin

higher torque

could not be

faster than t

or DIP and PI

the requirem

sult of interac

nsions of the

mple models

individualize

y design the

FEAs is show

the thumb f

enabling sep

d Kapandji Te

d PIP, was b

vate some of

As for differe

arable type sy

e radial abdu

ified FEAs

ements is de

ng the interva

e and bendi

e used at a p

the previous

IP joints were

ments. Appar

ction betwee

e three pocke

s were estab

ed soft hand

actuators to

wn in Fig. 19.

function, the

parate contr

est. In test fo

better than us

the three po

Hook

ent bending c

ystem of this

ction and uln

trimental to t

al of the rein

ng angle va

pressure hig

type, due to

e lower than

ently, this rel

n overall size

ets, the issue

blished to ana

rehabilitatio

o meet each

Although the

e 3-pocket F

ol of the join

or scoring po

sing all the th

ockets.

configuration

s study and o

nar adduction

the function

nforcement th

alues by tole

her than 150

o the reduct

n the target v

lates to the s

e of the actu

e should be s

alyze the eff

n system, re

user’s need

e different be

FEAs could

nts. The 3-p

osition 3 (Fig

hree pockets

Table top

s

our previous

n angles ach

of the

hread.

erating

0 kPa.

tion of

alues,

size of

uators,

solved

fect of

ealistic

ds and

ending

really

pocket

g. 18),

s. That

s fixed

hieved

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by the wearable type system are smaller than those of the fixed type system. This is because in 1

the fixed type, the MAMs could be aligned to achieve the biggest moment arm (Fig. 1). On the 2

other hand, in the wearable version the MAMs and wires had to be arranged taking into 3

consideration the mobility of the device. Thus, the moment arm was not as big as that of the fixed 4

type. This could be improved by changing the shape of the ring-type first metacarpal bone thumb 5

holder shown in Fig. 5, and the attachment points of the wires. Nevertheless, the thumb assist 6

device could reach the most essential scoring positions of the Kapandji Test. 7

The soft actuators used to drive the thumb assist device inevitably result in the 8

hysteresis characteristics, which could be identified from the results in both [10] for the fixed type 9

and Fig. 17 for the wearable type. The hysteresis characteristics made clear through the 10

measurement experiment could be used to adjust the control input: air pressure, to improve the 11

accuracy of position control. 12

13

Table 5: Comparing the radial abduction and ulnar adduction angles achieved by previous type 14

[10] and wearable type (this work) 15

Radial abduction [deg] Ulnar adduction [deg]

Target value 60 60

Fixed type [10] 54.0 59.3

Wearable type 36.6 31.1

16

4.4 Enhanced Kapandji Test 17

The Kapandji Test results showed that our system could reach all the scoring positions 18

except the ones on the little finger. As our dummy hand had the fifth metacarpal bone fixed in 19

place, and the little finger could not move in abduction-adduction, it could not be positioned to 20

oppose the thumb. On the other hand, we have shown in our previous study that it is possible to 21

enable finger abduction-adduction with soft fiber-reinforced actuators [13]. Thus, we believe that 22

our device would be able to reach at least some of the scoring positions on the little finger on a 23

real human hand. 24

In [20], the Kapandji Test was used to evaluate the thumb function of a soft robotic 25

hand made of FEAs. The study showed the potential of the FEAs to perform hand-like motions, 26

and the robotic hand's ability to hold everyday objects. However, the actuators were not 27

connected to an assisted hand structure. In our study, we showed that the actuators can be used 28

also in this manner to reach the Kapandji Test’s scoring positions. Moreover, we provided 29

quantitative pressing forces for the four first test positions that are important for the daily living 30

hand function, and therefore essential for hand rehabilitation. 31

Moreover, in the other studies on soft robotic gloves that aim to also support the thumb 32

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function [7][8], the radial-abduction and ulnar-adduction were not considered. Therefore, though 1

the scoring position 1 and 2 might be reached by the thumb, no pressing force could be exerted. 2

3

4.5 Future direction 4

In this study, the FEAs that assist the flexion of the fingers and the thumb were 5

improved and integrated to a 5-digit hand rehabilitation device. However, it is impossible to 6

realize finger extension, which is important for hand rehabilitation, by just adjusting the current 7

geometry and reinforcement mechanisms. Thus, a new type of FEA that can support both flexion 8

and extension needs to be developed. 9

The material to make the soft robot hand: silicon rubber is weak to tear stress. On the 10

other hand, since the soft robot hand will be worn on the subject’s hand, the tearing force, usually 11

generated during grasping and/or holding heavy objects, might not work directly on it. Moreover, 12

the FEAs (Fiber-reinforced Elastomer Actuators), as it is named, is reinforced with fibers. 13

Although the main aim of the fiber reinforcement is to provide certain biases to silicon structures 14

to enable the actuation, the fiber reinforcement could help to resist part of the tearing force, too. 15

Nevertheless, to realize long-term use of the soft robot hand in a home environment, its 16

robustness to tearing stress needs to be further improved. 17

Another challenge is that our current prototype is not equipped with any feedback 18

system such as sensing elements. A feedback control system is required for more accurate 19

control. In order to make the device more robust in terms of autonomy and feedback response to 20

external stimuli, different types of sensors such as pressure sensor, soft elastic joint angle sensor, 21

and force sensor [15] are required. For example, Flexiforce sensor described in Section III could 22

be used in a feedback loop to control the fingertip force. 23

As the next step, the detection of the subject’s intention needs to be considered. 24

The reason is that active training is much more preferable than passive training in terms of 25

rehabilitation effects. The signal source for intention detection could be bio-signals, such as 26

electromyogram. The position and force control will be implemented to support the active 27

training, to realize reliable, repeatable, and accurate control according to subjects’ intention. 28

Moreover, in this study, we evaluated the function of our soft hand rehabilitation system 29

by attaching the actuators and the full system to dummy fingers and the dummy hand for 30

practical and safety reasons. Because the stiffness of the stoke patients’ joints needs to be taken 31

into special consideration, it is very important to develop a dummy hand with sensing ability of 32

internal stress of joints. The measurement of internal stress of joints will be used to guide the 33

optimization and mathematical modelling of the soft robot hand. 34

After this step, we will be testing it in the future on healthy and disabled subjects for 35

evaluating the system’s usability and performance in rehabilitation. 36

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1

5. Conclusions 2

In this study, we integrated a soft thumb rehabilitation device proposed in our previous 3

work into a 5-digit robotic hand assist system, in which Fiber-Reinforced Elastomer-Actuators 4

with improved bending angles, forces, and degrees of freedom were assembled onto a forearm 5

socket. An enhanced Kapandji Test was proposed to evaluate it. The results showed that part of 6

thumb functions for hand rehabilitation could be realized, which paves the way towards a full 7

package hand rehabilitation with the 5-digit soft robotic hand assist system. 8

9

6. Acknowledgments 10

This work was supported by JSPS Grant-in-Aid for Scientific Research (B) 17H02129. 11

12

13

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7. References 1

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burden of stroke during 1990–2010: findings from the Global Burden of Disease Study 3

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[2] The Royal College of Physicians Intercollegiate Stroke Working Party: “National clinical 5

guideline for stroke”, 4th edition. London: Royal College of Physicians; 2008 6

[3] Wolf SL, Blanton S, Baer H, Breshears J, Butler AJ, “Repetitive task practice: a critical 7

review of constraint-induced movement therapy in stroke”, 2002, The Neurologist 8, pp. 8

325-338 9

[4] Nancy G. Kutner, Rebecca Zhang, Andrew J. Butler, Steven L. Wolf, Jay L. Alberts, 10

“Quality-of-life change associated with robotic-assisted therapy to improve hand motor 11

function in patients with subacute stroke: a randomized clinical trial”, 2010, Physical therapy 12

90(4), pp. 493-504 13

[5] Heo P, Gu GM, Lee S, Rhee K, Kim J, “Current hand exoskeleton technologies for 14

rehabilitation and assistive engineering”, 2012, Int. J. Precis Eng Manuf. 13(5), pp.807–24. 15

[6] Takahashi CD, Der-Yeghiaian L, Le V, et al., “Robot-based hand motor therapy after stroke”, 16

2008, Brain 131(2) , pp. 425-437 17

[7] L. A. Jones and S. J. Lederman, “Human Hand Function”, 2006, New York, NY: Oxford 18

University Press 19

[8] T. Noritsugu, H. Yamamoto, D. Sasaki, and M. Takaiwa, Wearable Power Assist Device for 20

Hand Grasping Using Pneumatic Artificial Rubber Muscle, SICE Annual Conference in 21

Sapporo, August 4-6,2004 22

[9] P. Polygerinos, Z. Wang, K. C. Galloway, R. J. Wood, and C. J. Walsh, “Soft Robotic Glove 23

for Combined Assistance and at-Home Rehabilitation”, 2015, Robotics and Autonomous 24

Systems (RAS) Special Issue on Wearable Robotics 73, pp. 135-143 25

[10] H. K. Yap, B. W. K. Ang, J. H. Lim, J. C. H. Goh, and R. C. H. Yeow, “A Fabric-Regulated 26

Soft Robotic Glove with User Intent Detection using EMG and RFID for Hand Assistive 27

Application”, 2016, in IEEE International Conference on Robotics and Automation (ICRA) 28

[11] Kouki Shiota, Tapio V. J. Tarvainen, Masashi Sekine, Kahori Kita, Wenwei Yu, “Development 29

of a Robotic Thumb Rehabilitation System Using a Soft Pneumatic Actuator and a 30

Pneumatic Artificial Muscles-Based Parallel Link Mechanism”, 2016, Proceedings of the 31

14th International Conference IAS-14, pp. 525-537 32

[12] J. Montgomery, “Daniels and Worthingham’s Muscle Testing”, 8th ed., Saunders Elsevier, 33

2007. 34

[13] H. Kawasaki, S. Ito, Y. Ishigure, Y. Nishimoto, T. Aoki, T. Mouri, H. Sakaeda, and M. Abe, 35

"Development of a hand motion assist robot for rehabilitation therapy by patient self- motion 36

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control," 2007 Ieee 10th International Conference on Rehabilitation Robotics, Vols 1 and 2, 1

pp. 234-240, 2007. 2

[14] Tapio V. J. Tarvainen and Wenwei Yu, “Pneumatic Multi-Pocket Elastomer Actuators for 3

Metacarpophalangeal Joint Flexion and Abduction-Adduction”, 2017, Actuators, 6, pp. 1-22. 4

[15] C. H. Yeow, A. T. Baisch, S. G. Talbot, and C. J. Walsh, "Cable-Driven Finger Exercise 5

Device With Extension Return Springs for Recreating Standard Therapy Exercises," Journal 6

of Medical Devices, vol. 8, pp. 014502-014502, 2013. 7

[16] Ueba Yasuo, The hand – its function and anatomy. 4th edition. Kinpodo. Kyoto. 2006 (in 8

Japanese) 9

[17] Yonemoto Kyozo, Ishigami Shigenobu, Kondo Toru, “Joint range of motion display and 10

measurement method”, The Japanese Journal of Rehabilitation Medicine Vol. 32 No. 4 P 11

207-217. 1995 (in Japanese) (http://doi.org/10.2490/jjrm1963.32.207) 12

[18] Barakat M J, Field J, Taylor J. The range of movement of the thumb. Hand (NY) 13

2013;8(2):179–182. 14

[19] Kapandji A (1986). "Clinical test of apposition and counter-apposition of the thumb". Ann 15

Chir Main. 5 (1): 67–73 16

[20] Gonzalez, F., Gosselin, F., and Bachta, W. Analysis of hand contact areas and interaction 17

capabilities during manipulation and exploration. IEEE Trans. Haptics 7, 415–429. 2014. 18

doi:10.1109/TOH.2014.2321395 19

[21] Raphael Deimel and Oliver Brock, A novel type of compliant and underactuated robotic 20

hand for dexterous grasping, The International Journal of Robotics Research, 35, pp. 21

161-185, 2016 22

[22] Kevin C. Galloway, Panagiotis Polygerinos2, Conor J. Walsh, and Robert J. Wood, 23

Mechanically Programmable Bend Radius for Fiber-Reinforced Soft Actuators, 2013 16th 24

International Conference on Advanced Robotics (ICAR), 25-29 Nov. 2013 25

26

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Highlights

Our final goal is to develop a full 5-digit soft robotic hand rehabilitation system. Previously, we

have studied a soft thumb rehabilitation device which is based on a parallel-link mechanism,

and driven by two different types of soft actuators, McKibben type pneumatic artificial muscles

and fiber-enforced elastomer actuators (Shiota et al., Proceedings of IAS-14, 2016). The current

manuscript continues to build on our previous work.

In this manuscript, we present a 5-digit hand assist system that consists of the previously

mentioned parallel-link mechanism for thumb, improved fiber-reinforced elastomer actuators

for each finger, and a wearable forearm socket that acts as a support for the actuators.

We evaluated the developed prototype system with an enhanced Kapandji Test, in which not

only the thumb to finger opposition positions, but also its pressing force was measured. Finally,

we show that the required thumb functions for hand rehabilitation and separate control of the

finger joints could be realized with the system. This paves the way towards comprehensive soft

robotic hand rehabilitation.

Our manuscript contributes to the field by providing experimental insight on thumb motion

assist by soft robotics, as well as data on the function of multi-pocket fiber-reinforced elastomer

actuators.


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