5. Objectives
• To Develop an “User Friendly Portable ECG Monitoring
Device”
• To get the fastest feedback from patient’s personal doctor
through the electrocardiogram result .
14. DC Leads Off Detection
The dc leads off detection mode is used in three-electrode con-
figurations only. It works by sensing when either instrumentation
amplifier input voltage is within 0.5 V from the positive rail. In
this case, each input must have a pull-up resistor connected to
the positive supply.
15. AC Leads Off Detection
The ac leads off detection mode is useful when using two
electrodes only (it does not require the use of a driven
electrode).In this case, a conduction path must exist between the
two electrodes
16. ELIMINATING ELECTRODE OFFSETS
The instrumentation amplifier in the AD8232 is designed to apply
gain and to filter out near dc signals simultaneously. This
capability allows it to amplify a small ECG signal by a factor of
100 yet reject electrode offsets as large as ±300 mV. To achieve
offset rejection, connect an RC network between the output of
the instrumentation amplifier, HPSENSE, and HPDRIVE
17. High-Pass Filtering
An addition to the topologies explained in the previous
sections, an additional pole may be added to the dc
blocking circuit for additional rejection of low frequency
signals. An extra benefit of this circuit topology is that it
allows lower cutoff frequency with lower R and C values
and the resistor, RCOMP, can be used to control the Q of
the filter to achieve narrowband-pass filters (for heart
rate detection) or maximum pass-band flatness (for
cardiac monitoring).
18. Arduino NANO
• Why I Used Arduino NANO?
• Microcontroller
• Basic Working Principle
• Key Features
• Key Applications
22. AD8232 To Raspberry pi Interfacing sing Adriano NANO
• To interface the circuit with raspberry pi,an Adriano is used
• The signal is feed into the analog input port A0 of the arduino
• Arduino is instructed to read the analog signal
• Arduino Performs ADC on the ECG signal
• Arduino is instructed to dump the data in a variable
• Arduino is instructed to initiate serial communication with
serial plotter with baud rate 9600
• Sampling frequency is 785 Hz
23. Serial Communication Between Arduino and Raspberry pi
• Serial communication is established between Arduino and
Raspberry pi using the same communication port and same baud
rate so that data from the Arduino can be sent to Raspberry pi.
• Number of samples Raspberry pi should store is specified. Arduino
sends one sample per milliseconds. Therefore, for ECG recording of
1 minute, 60000 samples were taken.
• Received data from the Arduino is dumped in an matrix array by
Raspberry pi.
• When the specified number of samples are taken, the
communication channel is terminated and Raspberry pi plots the
data it received from Arduino.
24. Raspberry Pi
• Why I used Raspberry Pi
• Which Model
• Processor
• CPU Core
• Key Applications
26. Raspberry Pi Key Features
• Now 10x Faster - Broadcom BCM2387 ARM Cortex-A53 Quad Core
Processor powered Single Board Computer running at 1.2GHz!
• 1GB RAM so it can now run bigger and more powerful applications
• Fully HAT compatible
• 40pin extended GPIO to enhance your “real world” projects.
• Connect a Raspberry Pi camera and touch screen display (each sold
separately)
• Stream and watch Hi-definition video output at 1080
• Micro SD slot for storing information and loading your operating systems.
• 10/100 Base Ethernet socket to quickly connect the Raspberry Pi to the
Internet
27. Sensor Cable – Electrode Pads
• How many lead I used?
• What types of sensor pad I used ?
28. Electrode Pads (3 connector) Placements
• Where I placed electrode in human body
• Why I used 3 lead why not 12 lead ?
• Basic difference between 3 lead and 12 lead
• Previous Work On 3 lead
30. Block Diagram
Human
Body
3 lead
Electrode AD8232
5inch Led
Display
Web
Doctor Mail
Control Unit
Arduino
Nano
Raspberry pi
Cloud
Storage
Server
Apache
Server
Database
38. Working Principle
• Human Subject to AD8232
• AD8232 to Arduino NANO
• Arduino NANO working process
• Arduino NANO connected with Raspberry Pi
• Python GUI
• WEB Application
• Doctor Comment
• Personal Doctor Feedback
39. Future Work
Add GPS tracking system in ECG device
Add Pre Measured System from device
40. Conclusion
• Inexpensive portable ECG device
• User friendly Device
• Updated ECG report in WEB panel
• Sent ECG report to the patient personal doctor with proper
comment