+ All Categories
Home > Documents > Biomedical Engineering - Home: UMM … Engineering Electrophysiology Dr. rer. nat. Andreas Neubauer...

Biomedical Engineering - Home: UMM … Engineering Electrophysiology Dr. rer. nat. Andreas Neubauer...

Date post: 01-Jul-2018
Category:
Upload: phungliem
View: 215 times
Download: 0 times
Share this document with a friend
18
10/25/2016 1 Biomedical Engineering Electrophysiology Dr. rer. nat. Andreas Neubauer Andreas Neubauer I Slide 2 I 18.11.2014 Sources of biological potentials and how to record them 1. How are signals transmitted along nerves? Transmit velocity Direction Intensity Frequency 2. How can measurements be standardized? Electrode position Data visualization
Transcript

10/25/2016

1

Biomedical EngineeringElectrophysiology

Dr. rer. nat. Andreas Neubauer

Andreas Neubauer I Slide 2 I 18.11.2014

Sources of biological potentials and how to record them

1. How are signals transmitted along nerves?

• Transmit velocity

• Direction

• Intensity

• Frequency

2. How can measurements be standardized?

• Electrode position

• Data visualization

10/25/2016

2

Andreas Neubauer I Slide 3 I 18.11.2014

The nervous system

Andreas Neubauer I Slide 4 I 18.11.2014

Organization of the nervous system

• brain, nerves and muscles are the major components of the nervous system

Brown, Medical Physics

• sensory/afferent nerves deliver information to the brain

• information is passed along motor/efferent nerves by the brain

• the nervous system is highly parallel

Synapses

• synapses allow reflex loops via the spinal column⇒ can be suppressed by the brain

10/25/2016

3

Andreas Neubauer I Slide 5 I 18.11.2014

Neurons

Brown, Medical Physics

• basic concept of nerves• dendrites can be considered as the

means of information input• axons are the channels for output

information• cell bodies may be considered to be

located in the brain/spinal cord• axons supply muscles or carry

information to the brain

http://www.biotele.com/research.htm

Andreas Neubauer I Slide 6 I 18.11.2014

Neural communication I

• electrical signals in the body are constant in amplitude and vary in frequency

⇒ pain intensity is regulated by the frequency of the signals

• normal frequency � 1��� (pulse per second)

• relation of frequency and intensity is approx. logarithmic

⇒ ��� �log���� � �

Brown, Medical Physics

10/25/2016

4

Andreas Neubauer I Slide 7 I 18.11.2014

Neural communication II

• Example:

• Dynamic range of the ear: min 10�/1

⇒ 120��

⇒ The eye is sensitive to a similarly wide range of intensities

• Assume a linear relationship: � � � � ���

• Maximum transmission frequency: 100 pps

⇒ min. sensory input would correspond to 10�����

⇒ impractical!

⇒ with a logarithmic scale a dynamic range of 10�/1 is compressed to 25/1

⇒ recognition of different amplitudes is much worse

Andreas Neubauer I Slide 8 I 18.11.2014

Why is smooth movement possible?

• increasing contraction is achieved be an increase in frequency

• not all muscle fibers twitch simultaneously

Brown, Medical Physics

10/25/2016

5

Andreas Neubauer I Slide 9 I 18.11.2014

The Nernst equation

Brown, Medical Physics

• consider a reservoir with de-ionized water

• add a volume with saline solution (����) enclosed by a semipermeabel(for ���) membrane

• diffusion will go on until equilibrium is established

diffusion gradient

electrostatic force

Nernst equation: � !

"#$log%

&'&(�

)*

"#log+,

&'&(�-�

.: Gas constant; /: Temperature; 0: Faraday constant; 12: Valence

⇒ transmembrane potential with respect to the outside of the membrane

valid at roomtemperature

Andreas Neubauer I Slide 10 I 18.11.2014

Transmembrane potential

• ��4 ions can hardly diffuse through the membrane when the cell is in resting state

• generation of a nerve action potential leads to ��4 influx

• normally negative when the nerve is in resting state

Ion Intracellular concentration (56)

Extracellular concentration (56)

Nernst potential inside wrtoutside (57)

84 400 20 :75

��4 50 450 �55

��� 40 550 :66

Brown, Medical Physics

10/25/2016

6

Andreas Neubauer I Slide 11 I 18.11.2014

Membranes and nerve conduction

• electrical impulses can travel along the nerve with a velocity of 50-/�

• high/low intracellular potassium/sodium concentration is established by the membrane ⇒ polarization i.e. resting potential

Brown, Medical Physics

• stimulation leads to an efflux/influx of potassium/sodium⇒ change in transmembrane potential⇒ avalanche effect

⇒ DEPOLARIZATION!

=4>?4

Andreas Neubauer I Slide 12 I 18.11.2014

Transmission of Nerve Action Potentials (NAPs) I

Brown, Medical Physics

• impulse of depolarization which travels along a nerve

• muscle fibers can also transmit action potentials (MAPs)

• ionic currents will flow from depolarized to polarized parts⇒ source of bioelectric

signals!• myelinated fibers transmit

APs 10 times faster than non-myelinated fibers

10/25/2016

7

Andreas Neubauer I Slide 13 I 18.11.2014

Transmission of NAPs II

• speed of transmission depends on:• Membrane

capacitance • Myelin • Axon resistance Brown, Medical Physics

• assume a cylindrical membrane with diameter @ and length A:

⇒ . �BC

DEF; G: resistivity HΩmK

⇒ � LMDL; L: dielectric constant of neural membrane RS

TU

⇒ �. BV �WDE

DEF GL

�DWF

X; time constant of the membrane H�K

• typical values: Membrane capacitance: 1YZ

[UF , @ 10]-, A

10--, ^ � 1Ω-⇒ � � 3 �10�`]F, . � 1.3 �10*Ω,time constant � 0.4�⇒ .[c22%d � 2.14Ω

Andreas Neubauer I Slide 14 I 18.11.2014

Muscle Action Potentials (MAPs)

Smooth muscle Striated muscle

intestines and blood vessels skeletal muscle

intrinsically active voluntarily active

Brown, Medical Physics

10/25/2016

8

Andreas Neubauer I Slide 15 I 18.11.2014

Volume conductor effects I• electrical potential: Φ

+

�Dfghid��

• assumptions:

• Potential at infinity equal zero

• Tissue is homogeneous

⇒ � j k gB

�DdF�j

l

d

Bh

�Dd

• cylindrical nerve fiber:

⇒ � j Bmnop

�Dq

• contribution made to the potential field at r�s‘, u‘, v‘

⇒ j s– s‘x� u : u‘ x � v : v‘ x

yF

⇒ Φ s, u, v gBhn p

�D p�pz F4{zF4|zFyF

�s

Brown, Medical Physics

Andreas Neubauer I Slide 16 I 18.11.2014

Volume conductor effects II

• connection of kU to the transmembrane potential

⇒ kU s k} –kc HT p � T p�op ~

Bop:

HT p4op � T p ~

Bop

x~

B

oFT

opF

FT

Brown, Medical Physics Brown, Medical Physics

Brown, Medical Physics

10/25/2016

9

Andreas Neubauer I Slide 17 I 18.11.2014

Detection and analysis of ECG/EKG

Andreas Neubauer I Slide 18 I 18.11.2014

ECG/EKG characteristics

Brown, Medical Physics

• electrical events can be recorded from the body surface⇒ complex relation to the source

• lighthouse analogy• recording is only possible when

potentials are changing⇒ record of the changing activity

of the heart

10/25/2016

10

Andreas Neubauer I Slide 19 I 18.11.2014

Electrocardiographic planes

• standardization of recorded signals is needed

Brown, Medical Physics

Andreas Neubauer I Slide 20 I 18.11.2014

The frontal plane ECG/EKG – lead configurations

• electrical activity of the heart can be described as movement of an electrical dipole

⇒ cardiac vector is the line joining the charges of the dipole

• Einthoven‘s triangle: triangle between RA, LA and LL

⇒ lead configurations:

⇒ Lead I: RA �: to LA ��

⇒ Lead II: RA �: to LL ��

⇒ Lead III: LA �: to LL��

• plotting the measured signal in the three leads at any time of the cardiac cycle on Einthoven‘s triangle leads to the cardiac vector

• body build and age influence the cardiac vector

10/25/2016

11

Andreas Neubauer I Slide 21 I 18.11.2014

The transverse plane ECG/EKG

Brown, Medical Physics

• recorded unipolarly wrt an indifferent electrode (LA + RA + LL)• usually with six electrodes in a line round the chest

Andreas Neubauer I Slide 22 I 18.11.2014

The sagittal plane ECG/EKG

http://www.cardiocommand.com/research_cathinsert.html

• also recorded with an indifferent electrode

• catheter with electrode is placed down the oesophagus

• rarely used in practice

10/25/2016

12

Andreas Neubauer I Slide 23 I 18.11.2014

Electrodes and amplifiers

• good skin preparation leads to an electrode impedance � 10�Ω

⇒ amplifier input impedance of 1�Ω is adequate

⇒ electrodes do not have the same impedances

⇒ common-mode voltage is produced

⇒ 80�� common-mode rejection with 10�Ω difference impedance between electrodes requires a common-mode input impedance of 100�Ω

• normally the majority of EMG spectra lies above the ECG spectra

⇒ apply bandpass filter

Andreas Neubauer I Slide 24 I 18.11.2014

Detection of EEG signals

10/25/2016

13

Andreas Neubauer I Slide 25 I 18.11.2014

Sources of the EEG signal

• electroencephalographic signals were first recorded in 1929 (ECG/EKG in 1895)

• electroencephalograph means graph of electrical changes from the enkephalos (Greek for brain)

• sources of the EEG signals are the neuronal potentials of the brain

⇒ attenuation by bone, muscle and skin

⇒ electrocorticography (ECoG) records signals directly from the cortex

• EEG signals are between 10 and 300]V

• Ag-AgCl discs are best to record an EEG

⇒ time consuming

⇒ skullcaps are much more convenient in use

Brown, Medical Physics

Andreas Neubauer I Slide 26 I 18.11.2014

EEG equipment and settings

• differential amplifiers are used for signal amplification

• min. eight channels at the recorder

• assume 16 differential amplifiers ⇒ 32 input connections plus one earth connection

• „standard“ EEG settings:

• Chart speed 30--/�

• Gain setting: 100]V/�-

• Time constant: 0.3� (corresponds to a :3��point of 0.531/�)

• Filters: High frequency response is a -3��at 751/�

• electrode impedance � 10�Ω

10/25/2016

14

Andreas Neubauer I Slide 27 I 18.11.2014

Normal EEG signals

Brown, Medical Physics

• a quiet environment is required

• only one person should be in the room with the patient

• wide-awake „normal“ persons produce an unsynchronized high-frequency EEG

• rhythmic activity at8– 131/� is produced if a „normal“ person closes the eyes

Andreas Neubauer I Slide 28 I 18.11.2014

Artifacts

• electrode artifacts

⇒ electrode impedances

⇒ interference

⇒ movement of the cables

⇒ perspiring of the patient

• potential difference of several -�between the back and front of the eyes

• ECG may be seen if recording electrodes are spaced a long way

• dental fillings may produce artifacts

http://www.psychologie.uzh.ch/fachrichtungen/plasti/Labor.html

http://bipolaraspiemom.wordpress.com/2011/07/15/are-you-still-awake-our-eeg-story/

10/25/2016

15

Andreas Neubauer I Slide 29 I 18.11.2014

Detection of EMG signals

Andreas Neubauer I Slide 30 I 18.11.2014

Sources of electromyographic (EMG) signals

• record signals of nerves and muscles

• needle and surface electrodes can be used

⇒ examine shape and sound of the signal with needle electrodes

⇒ overall activity of the muscle is recorded with surface electrodes

• functional unit of a muscle is one motor unit

Brown, Medical Physics

10/25/2016

16

Andreas Neubauer I Slide 31 I 18.11.2014

EMG equipment

• recording of an EMG is possible between two surface electrodes

⇒ reducing the distance below 4 mm leads to a significant signal drop

• surface electrodes will always record signal from multiple muscles

⇒ needle electrodes are more accurate but uncomfortable⇒ fine wire electrodes are excellent for long term EMG recording

• surface electrodes record less high-frequency content than needle electrodes

• signals up to 2-� are typical

Brown, Medical Physics

Andreas Neubauer I Slide 32 I 18.11.2014

EMG settings

Standard settings for the pre-amplifier

Amplification 100

Input impedance 10�Ω

Noise with input shorted 2]V� : �

Common-mode rejection ratio 80��

Bandwidth (:3��points) 101/�–10`1/�

• equipment testing⇒ short circuit the inputs of the amplifier and set maximum gain

⇒ only noise should be visible⇒ check leads and plugs

Brown, Medical Physics

10/25/2016

17

Andreas Neubauer I Slide 33 I 18.11.2014

Normal EMG signals

• voluntary EMG pattern is recorded with a needle electrode

⇒ several points must be observed

⇒ „normal“ EMG sounds like gunfire

• normal APs last few milliseconds and contain two/three deflections

• myopathic muscles produce smaller APs with more deflections

Brown, Medical Physics

Brown, Medical Physics

Andreas Neubauer I Slide 34 I 18.11.2014

Neural stimulation III

10/25/2016

18

Andreas Neubauer I Slide 35 I 18.11.2014

Nerve conduction velocity measurement

• measurement of time between stimulus and response ⇒ conduction time (average of myelinated fibers: 50-/�)

• myelination is not complete at birth

⇒ nerve conduction increases over the first years of life

Brown, Medical Physics

Andreas Neubauer I Slide 36 I 18.11.2014

Motor nerve conduction velocity

• measure latency of proximal/distal stimulation⇒ calculate velocity from the values of obtained latencys


Recommended