Fatigue Monitoring Compression Sleeve. Group 2: Rohita Mocharla & Sarah Cunningham

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1 Fatigue Monitoring Compression Sleeve Group 2: Rohita Mocharla & Sarah Cunningham

2 Agenda Project Introduction Block Requirements & Verifications Challenges Future Plans Conclusion

3 Project Introduction

4 Muscle Fatigue Muscle fatigue is the decline in a muscles ability to generate a force [1] Electromyography (EMG) technology allows us to detect electrical signals from a muscle During a workout this signal decreases in amplitude [1] M.B.I. Raez, M.S. Hussain, F. Mohd-Yasin. (2009,March 23) Techniques of EMG signal analysis: detection, processing, classification and applications. [Online] Available:

5 Why does it matter? Overworking a fatigued muscle can lead to: Stress Fractures Inflammation Muscle Strain Leads to long recovery time

6 Our Solution: Embed Electrodes into a Compression Sleeve Figure 1: Fatigue Monitoring Compression Sleeve

7 Functions & Features Hand washable Snap in electronics Lightweight and compact design Multicolor LED alerts the user to various stages of fatigue ON/OFF switch

8 Goals & Benefits Monitors bicep muscle fatigue At least $100 cheaper than other products on the market for similar functionality Allows users to monitor how different levels of fatigue affect their recovery time Safe to wash and reuse unlike similar designs

9 Block Diagram Figure 1: Overall Block Diagram

10 Block Requirements & Verifications

11 Electrode Requirements Conduct EMG Signal: 0-10 mv, Hz Detect Bicep Muscle Signal Figure 1: Electrode Placement Figure 2: Electrode Conducting 10mV Signal

12 Preamplifier Requirements Distance from electrodes << 5cm Vcc = 2-4 V Gain 40 Figure 1: Soldered Preamplifier Figure 2: Preamplifier Schematic

13 Filter Requirements Lower cutoff frequency at 1 ± 5 Hz Upper cut-off frequency of 250 ± 50 Hz Passband is flat: Slope of 0 ± 0.1 Figure 1: Filter Schematic

14 Filter: Cutoff Requirements Lower cutoff frequency at 1 ± 5 Hz Upper cutoff frequency of 250 ± 50 Hz Frequency(Hz) Input (mv) Output (mv) Experiment db Difference in db

15 Filter: Passband requirement Passband is flat: Slope 0 ± 0.1 Y = x R2 = 0.75 Figure 3: Filter Schematic Figure 1: Experimental Figure Vout/Vin 2: Simulated Graph Vout/Vin Graph

16 Amplifier Requirements Vcc = 2-4 V Detachable from Sleeve Gain 5 Figure 1: Testing the Amplifier

17 Amplifier: Gain Requirement Gain 5 Implemented gain averaging 10.8 Input Output Gain 110 mv 1.24 V mv 2.34 V mv 3.15 V Figure 1: Reading of input and output voltage

18 Analog to Digital Converter Requirements Sampled signal is accurate within 10% Can sample a signal up to 300 Hz Figure 1: ADC Set-up Figure 2: ADC Schematic

19 ADC: Sampling Frequency Requirement Can sample signal up to 300 Hz Figure 3:Sampled Sampled ADC Data 300 Hz Figure Figure 1:2:Sampled ADC ADC Data Data atatat Hz Hz

20 ADC: Amplitude Accuracy Less than 10% difference Input Voltage (V) Average Sampled (V) Error (%)

21 Feedback Requirements Display 3 different identifiers Vcc = 2-4 V Detachable from Sleeve Figure 1: Attached LED Figure 2: Three LED Fatigue Identifiers

22 Power Supply Requirements Vout = 2-4 V Detachable from Sleeve ON/OFF Figure 1: Unattached battery Figure 2: Sleeve Battery Pocket

23 Detachability Requirement: Conductive Snaps Figure 2: LED Attached with Snaps Figure 1: 8mm Conductive Snaps Figure 3: Unconnected Snaps

24 Challenges

25 Challenges Opamps Differences in calculations and experimental results Implementation

26 Future Work

27 Future Work Full integration of all subsystems Identify if there is difference in fatigue threshold for individuals Optimize Design Feedback buzzer or vibration More electrodes to monitor muscle response

28 Conclusion

29 Conclusion Long term project goals & deadlines Technical writing and presenting Happy with the project we chose

30 Thank you!

31 Microcontroller Requirement 1 Vcc = 3±0.3V

32 Microcontroller Requirement 2 Calculates the average of input signal and changes feedback in real time: < 2 seconds Time from Green to Time from Red to Yellow (seconds) Average Yellow (seconds)

33 Preamplifier: Gain Requirement INPUT 1 20mV/div OUTPUT 200mV/div INPUT 2 20mV/div

FATIGUE MONITORING COMPRESSION SLEEVE

FATIGUE MONITORING COMPRESSION SLEEVE By Sarah Cunningham Rohita Mocharla Final Report for ECE 445, Senior Design, Fall 2016 TA: Jamie Norton 7 December 2016 Project No. 2 Abstract This document discusses