First review on A Low-Power Wearable Physiological Parameters Monitoring System

1. A Low-Power Wearable
Physiological Parameters
Monitoring System
Presented By : Under the Guidance of :
G.Vinod Kumar J.Rajanikanth
Student,M.Tech Associate Professor
Embedded Systems Dept. Of ECE
SIETK,Puttur. SIETK,Puttur
Siddartha Institute of Engineering and Technology
Puttur

2. OBJECTIVE:
• The main aim of the application is to read
the EKG signals and display on the
screen.
• By using Radio Frequency technology
data Communication takes place.
• All the components are Low power and
very small in size.

3. Existing System:

4. • The figure says that A patient with heavy load
of ECG cables and lead wires.
• Approximately 10-20 cables are connected to the
patient.
• We need GELs and Electrodes to measure.
• Remove hair where the electrodes are placed.
• In the case of Ag/AgCl electrodes the gels and
adhesive can cause skin irritation, and chest straps
can be difficult to fit, uncomfortable to wear and not
always reliable.

5. Proposed System:
•Wear this chronus watch and go to your work.
•No wire connection required, Totally WIRELESS.
• No need to place ELECTRODES and GELs.
•No need to remove hair.
•Sensor placed on the WRIST or ARM.
• No skin irritation.

6. Block Diagram:
Micro PC/Mobile
Sensor
controller phone
EPIC CC430F6137 ECG

7. Micro Controller:
• Wide Supply Voltage Range: 1.8 V to 3.6 V
• 16-Bit RISC Architecture, Extended Memory, up
to 20-MHz System Clock
• High-Performance Sub-1-GHz RF Transceiver
Core

8. Micro controller

9. Sensors:
• EPIC is an acronym of Electric Potential Integrated
Circuit.
• Ultra high input resistance, typically 20GΩ.
• Dry-contact capacitive coupling.
• Input capacitance as low as 15pF.
• Lower -3dB point typically 200mHz.
• Upper -3dB point typically 10kHz.
• Operates with bipolar power supply from 2.4V to
4.0V.
• Sensors supplied in a custom package with
exposed pins for surface mount assembly.

10. Fig: Block diagram of EPIC sensor

11. EPIC Sensor

12. Any Queries ?

13. ISSUES
• Power Management
• Selection of sensor model.,

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