Athena Project

Jaime Ciriaco Michael Dunn Aaron Marquez Sonoma State University Department of Engineering Science Advisor: Farid Farahmand Client: Arthur Obuchowicz

http://athena490.wordpress.com

ciriaco@sonoma.edu

dunnmi@sonoma.edu

marqueaa@sonoma.edu

Overview

Introduction

Problem

Marketing & Engineering Requirements

Functional Diagram

Block Diagram

Parts List

Testing & Results

Challenges & Risks

Gantt Chart

What did we learn?

Supporting Courses

Questions/Comments

Athena Project

Introduction One of the most common disorders in the world is epilepsy

It can be dangerous for someone with epilepsy to be left home alone because a seizure can leave them

incapacitated and unable to call for help

This can be especially dangerous if certain appliances such as a stove or iron were left on

Epilepsy is a big problem around the world

There are only a few devices that monitor this disorder

Funding for these devices are very minimal.

If a person has a seizure then they could be incapacitated for a period of time.

Problem Statement

65 million people around the world who have epilepsy

Government funding for epilepsy is minimal

There is no cure for epilepsy

Dangerous for epileptics living alone

Fire hazard for unsupervised appliances

Build device that meets client’s needs

Existing Work

Sami Alert

How’s our device different?

Smart-Monitor

Empatica

Our Solution - Differentiating Features Simple user interface with dedicated radio link

Detect tonic-clonic seizures

Real time data logging for doctor or caregiver to postprocess and study trends

Send SMS/Email

Automatic appliance shutoff

Marketing Requirements 1. Seizure detection will be a bracelet worn on the wrist that needs to reliably detect a seizure

2. The wearable device will have an ok button to let the central module know that user is not

having seizure.

3. The wearable device will have a panic button if the user is knowingly having a seizure

4. The monitoring station needs to send a shutoff signal to automatically turn off appliances

5. The monitoring station needs to auto dial a list of caregivers that will be done by SMS text and

email

6. The shutoff device needs to safely disable the appliance. After the seizure has ended, the person will

notify the monitoring station he/she is okay. Then the monitoring station will turn on the appliances

7. The shutoff device needs to receive a wireless signal to trigger shutdown

8. The system should cost less than $300

9. End user data must be presented in a web page graph

10. Bracelet must have capability to indicate alarm or no alarm state

11. Monitoring station settings such as phone number of caregiver should be re-configurable from remote

locations

Engineering Requirements Bracelet

1. The bracelet needs to have a 3-axis accelerometer/gyroscope to detect seizures

2. The bracelet needs to run 16 hours / day

3. The bracelet needs to charge in < 8 hours

4. The bracelet needs to have a wireless transmitter

5. The bracelet must be put to sleep whenever possible to reduce power consumption.

6. The bracelet must have OK and PANIC buttons

7. The bracelet must have a status LED

Central Monitoring Station

1. The monitoring station needs to have a wireless receiver to receive signals from the bracelet

2. The monitoring station needs to use Amazon SNS to send SMS and Email notification

3. The monitoring station needs to have a wireless transmitter to send the disconnect signal to shut off devices

4. Must use Amazon EC2 to set up a website utilizing Django web server to display table and graph for each customer in

order for a doctor, caregiver or family member to see the status throughout the day of the patient. 5. Must use Amazon DynamoDB to gather data received from wearable store it and push the event to Amazon Lambda in order to send

it to My SQL to create a table for the data

Power Disconnect Device(s)

1. The power disconnect devices need to receive a wireless signal from the monitoring station

2. The power disconnect device needs to disconnect 110VAC circuits

3. The power disconnect device must have an override switch

System Functional Diagram

System Block Diagram Wearable Module

● Adafruit Feather M0 RFM69HCW Packet Radio

● ATSAMD21G18 ARM Cortex M0

● Battery charging circuitry

Central Gateway Module ● Raspberry Pi 3

Appliance Control Module ● Adafruit Feather M0 RFM69HCW Packet Radio

● ATSAMD21G18 ARM Cortex M0

● AC-DC power converter

Parts List for 1 unit - Under budget! Parts Quantity Cost (w/o tax) Total

Accelerometer / Gyroscope 1 $29.95 $29.95

Raspberry Pi 3 Model B 1 $39.95 $39.95

Lithium Ion Polymer Battery 1 $7.95 $7.95

Feather M0 RFM69HCW Packet Radio 915MHz 3 $24.95 $74.85

Buttons 2 $7.84 $15.68

Relays 2 $2.49 $4.98

PCB 2 $ 7 $14

Antenna 3 $ 7 $21

Total (Each Complete System) $208.36

Printed Circuit Boards

● Two Prototypes of wearable device

● First prototype of wearable was too large

● One prototype of central module

Wearable Prototype #2

Central Module V1

Wearable Prototype #1

Wearable

● Seizure detection algorithm

● Onboard buttons OK and Panic

● Audio feedback (piezo buzzer)

Radio Transceiver

Accelerometer Microcontroller

Panic OK

Circuit Board

3D Printed Housing

Seizure Detection Algorithm

● Calculate Difference: VRMS(n) – VRMS(n-1) > THRMS (1)

● Calculate Counter: Count(n) = Count(n-1) + 1 > THC (2)

(1) (2)

Central Module 1. Cloud

2. AWS IoT

3. AWS SNS (E.R. 9)

4. AWS Dynamo DB (E.R. 12)

5. AWS Lambda

6. AWS RDS (My SQL) (E.R. 12)

7. AWS EC2 (E.R.11)

8. Django (E.R. 11)

Text Message Notifications

Home

Login

Customer Account

Customer Account

Customer Account

Appliance Controller

● Controls the appliances with an external relay ● Accepts control signals Seizure/Panic/OK flag from

Central Module ● Radio link communicates with Central Module custom

data and control packets

Customer

supplied

Relay

Original

Relay

Custom Data / Control Packets

Challenges 1. Power consumption on the wearable

a. Optimizing battery size vs battery life vs radio power

2. Range and communications of radio modules

3. Small size of wearable

4. Accuracy of the seizure detection algorithm in the wearable device a. Tonic Seizures (rapid movement 20 seconds duration)

b. Tonic-Clonic Seizures (stiffening 1-5 minutes duration)

c. Myoclonic (contractions and relaxations)

d. Absence Seizures (blanking out)

5. Using tapping as buttons

6. Interfacing AWS with Django

Gantt Chart

Future Work

1. Improve Django site

2. Use Atmel Cortex M0 on a single circuit board instead of Feather Module

3. Use test data to optimize seizure detection algorithm

4. Add dial for user to adjust sensitivity

What did we learn?

1. We learned a lot about the challenges of individuals with seizures

and their caregivers a. Learned about epilepsy from our primary customer

b. Attended seizure support group meetings

c. Presented our algorithm at Math Conference

2. Central Module : Amazon Web Services, My SQL and Django

3. System integration, wireless communications protocol

4. PCB Design

Supporting Courses

1. ES310 (Microcontrollers)

1. ES442 (Digital and Analog Signals)

1. ES465 (Networking)

1. CS 115 (Computer Programming)

2. EE 485 (Digital Signal Processing)

3. EE 444 (RF Design)

Thank you to our adviser

Farid Farahmand,

our client Arthur Obuchowicz,

all of our professors at SSU,

and for the SOURCE Funding!

Questions/Comments

http://athena490.wordpress.com

Webpage:http://35.160.95.31

References [1] S. M. 2016, "Smart-monitor," 2016. [Online]. Available: http://smart-monitor.com/. Accessed: Nov. 16, 2016.

[2] "Samialert," SAMi™: The Sleep Activity Monitor, 2016. [Online]. Available: http://www.samialert.com.

Accessed: Nov. 16, 2016.

[3] "Seizure Detection MedPage Ltd," in MedPage Ltd. [Online]. Available: http://www.medpage-ltd.com/epilepsy-

alarm-bed-seizure-detection-medpage-mp5.html. Accessed: Nov. 16, 2016.

[4] E. Inc, "Monitor stress, seizures, activity, sleep," in Empatica, Empatica, 2016. [Online]. Available:

https://www.empatica.com/product-embrace. Accessed: Nov. 16, 2016.

[5] 2013, "Emfit international," 2005. [Online]. Available: http://www.emfitcorp.com. Accessed: Nov. 16, 2016.

[6] SeizAlarm, "Seizure alert service featuring support for apple watch," SeizAlarm, 2016. [Online]. Available:

http://www.seizalarm.com. Accessed: Nov. 16, 2016.

[7] "Send SMS from a raspberry pi,". [Online]. Available: http://www.mattiasnorell.com/send-sms-from-a-

raspberry-pi/. Accessed: Nov. 16, 2016.

[8] "Epilepsy foundation," Epilepsy Foundation, 2015. [Online]. Available: http://www.epilepsy.com. Accessed:

Nov. 16, 2016. http://www.epilepsy.com/learn/types-seizures/tonic-seizures