Portable Heart Rate Monitor & Arrhythmia Detector Enyinnaya Egejuru December 3, 2008 Senior Design Project Instructor: Prof. SwensonTA: Bob Schoonover.

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Presentation transcript:

Portable Heart Rate Monitor & Arrhythmia Detector Enyinnaya Egejuru December 3, 2008 Senior Design Project Instructor: Prof. SwensonTA: Bob Schoonover

INTRODUCTION Section 1

Objective Design a portable monitoring system able to acquire a biological signal (ECG) and detect abnormality from the regular sinus rhythm Provide Immediate notification of abnormalities Low cost and low power Accessibility User friendliness

Project Significance/Market This portable system will be useful whenever there is need for a low cost and low power monitoring system. Possible markets: Third world countries » Poor Medical Infrastructure, facilities and equipment » Unreliable power supply Quick, portable monitoring » Warfront

The ECG Signal

The Natural Pacemaker The Sino-Atrial node (SA node) is a group of cells positioned on the wall of the right atrium Cells in the SA node depolarize simultaneously resulting in contraction Atrial contraction leads to the P-wave and the ventricular contraction leads to the QRS complex

SYSTEM DESIGN (FRONT END) Section 2

Block Diagram LM358AD6 22 ALARM MSP430FG4618

Electrodes (Signal Acquisition) Interface between body and measuring/monitoring device. Serve as transducer to change ionic current in body to electrical current Electrolyte gel (AgCl) used to maintain good contact to skin Pair used to measure potential difference between 2 parts of the body

ECG Signal Amplifier AD622 Instrumentation amplifier chosen for initial signal amplification. Heart beat signal ranges from 1mV – 4mV, need amplification to about 1V ECG Amplifier RequirementsAD622 Instrumentation Amp Low DC Offset Low Drift Low Noise High Open Loop Gain (Range 2 – 1000) High CMRR High input Impedance Low Power/Cost (2.6V – 15V)

ECG Signal Amplifier Cont’d Gain of 10 from signal source, R G should be 5.62KΩ:

Biosignal from electrodes Signal from Instrumentation Amplifier

Analog Filters Filters are used to attenuate certain frequencies 0.05Hz High Pass Filter: Filters voltage drift to reduce baseline wander and amplifier saturation 130Hz Low Pass Filter: Remove high frequency noise and muscle artifact Cutoff Frequency determined by:

Analog Filters Cont’d For High Pass: RC ≈ 3. Hence, R hp = 100KΩ, C hp = 30µF For Low Pass: RC ≈.001. Hence, R lp = 10KΩ C lp = 100pF Further amplification (factor of 100) is done using a LM358 OP AMP

ECG Signal After Amplification This signal shows a real BioSignal coming from a test subject

MSP430FG4618 Low supply-voltage range, 1.8V-3.6V Ultralow power consumption Five power saving modes Wake up from standby mode in less than 6µs 16 bit RISC architecture 12 Bit A/D and 12 Bit D/A converters 16 bit Timer_A 116KB+256B Flash or ROM memory, 8KB RAM

SYSTEM DESIGN (CORE/SOFTWARE) Section 3

MSP430FG4618 MCU Software The figure above is a block diagram showing the function of the MCU

Digital Filter Design The MCU uses a high pass and a low pass filter Fastest Deflection is the QRS complex. It lasts for about 20ms and has a frequency of 6Hz-30Hz FIR filters were used because they are more stable 17 tap FIR filter was implemented. Although higher taps would be better, we are working with limited resources Filter design done using Matlab

Digital Low Pass Filter This filter was built using the filterbuilder functionality of Matlab. Coefficients are determined and convolution is performed

Digital High Pass Filter This filter was built using the filterbuilder functionality of Matlab. Coefficients are determined and convolution is performed

Heart Rate Calculation Sample rate of 512 Hz. Allowing up to 10 samples or QRS complex. Tracking of timescale using a variable (pulseperiod) Output of QRS discriminator compared against threshold Due to real-time need, pulseperiod is accumulated over 3 beats Heartrate per minute = 1/[pulseperiod/(3 x 512 x 60)] = 92160/pulseperiod

SYSTEM DESIGN (BACKEND) Section 4

NOTIFICATION The Winbond® ISD17120 ChipCorder® is a highquality, fully integrated, single-chip multimessage voice record and playback device Ideally suited to a variety of electronic systems 120sec messages at 8Khz sampling frequency PWM class D speaker driver LED blinking notification during playback Multiple message addressing Playback enabled by signal from MCU Great sound quality during voice playback using 54c6

ISD17120

TESTING AND SIMULATION Section 5

ECG Simulation Was able to get ECG simulated WAV files Testing of circuit for tachycardia and bradycardia could be easier as database has records of such arrhythmias WAV files are transferred to circuit via a modified speaker phone. The right and left ear pieces correspond to the right arm and left arm

LCD Heart Rate Display New feature added to design LCD displays a readable heartrate to user. This helped me in testing and figuring out what was going on in the MCU

Other Testing Oscilloscope reading at each amplification stage Setting test levels for tachycardia and bradycardia to check response of notification pin Using an LED to tell when heartbeat has gone above or below normal Artifact from movement and electrodes

SUCCESSES, CHALLENGES, AND RECOMMENDATIONS Section 6

Successes Adequately acquire Biosignal Adequately amplify Biosignal Proper ADC conversion Semi Functional Heart Rate counter Proper notification functionality Adding new feature (LCD for rate display) Using Low Power components for battery operation Used a new device in ECE445 (MSP430) and also performed core functionality in MCU Low power. System powered with a 3V battery (2x1.5)

Challenges Sophisticated QRS/Thresholding algorithm with the amount of resources we have in a microcontroller Poor Skin/Electrode interface Artifact Amplifier issues » Offset voltages » Open Lead wires » Electric field interference

Recommendations Digital 60Hz Notch Filter to reduce power line noise A more sophisticated algorithm for QRS detection and heart rate calculation exists, but requires more resources (which will affect battery life) and is challenging to implement in a microcontroller

Thanks to… Dr. Gary Swenson Instructor Bob Schoonover TA Kenneth Gentry ECE415 Instructor ECE Parts Shop personnel ECE Stores personnel Spencer Brady ECE420 TA My Fellow ECE445-its

QUESTIONS…