Performance evaluation of compression and transmission algorithms for ECG signal
The project involves ECG signal compressio and transmission to provide remote health monitoring. For Real-time implementation, we will use ARM processor with MicroPython. It involves both compression and power efficient transmission of the signal using BLE. It is a step towards "Virtual (Smart) Hosp
Project Title
Performance evaluation of compression and transmission algorithms for ECG signal
Project Area of Specialization
Project Summary
The project involves ECG signal compressio and transmission to provide remote health monitoring. For Real-time implementation, we will use ARM processor with MicroPython. It involves both compression and power efficient transmission of the signal using BLE. It is a step towards "Virtual (Smart) Hospital" where a doctor can monitor the state of all his patients sitting on his desk.
Project Objectives
- To set-up nrf52832 (ARM CORTEX M4-F based) dongle with “Micro python”
- Acquiring and conditioning a Real-time ECG signal from MIT-BIH database
- Development of Low complexity data compression algorithm using “Wavelet transform”
- Evaluation of the performance of different wavelets, their compression and reconstruction of the transmitted signal
- Power Measurement
- Comparison of Results with available literature.
Project Implementation Method
The project will be implemented using nrf52832 (ARM Cortex microproxcessor) based dongle. The ECG signal will be first compressed using "Wavelet Transform"as it offers both time and frequency domain resolution.
Next, we will encode our signal for transmission via DSP floating point processor by using "Huffman Encoding" which is loseless and helps us in attaining power efficient system. The endcoded signal is transmitted using BLE (Bluetooth Low Energy) which is power efficient protocol and is available on almost every device out there.
At the destination side, the signal is again re-constructed using the Huffman Dictionary for decoding, followed by inverse Wavelet Transform.
Benefits of the Project
It allows:
- Distant Monitoring of the patients in critical condition
- An efficient Real-Time analysis of the compression algorithms
- Encoding Scheme analysis such as Huffman, SPIHT etc
Technical Details of Final Deliverable
The Technical details can be summarized as follows:
- Involves Wavelet Transforms (Comparison of Both Lossy and Lossless Compression)
- Configuration of MicroPython firmware on the processor
- Transmission via BLE
- Advertising the dongle for connectivity
- Huffman Coding and Decoding
- Reconstruction on the Receiver side such that the signal is not too much distorted
Final Deliverable of the Project
Core Industry
Other Industries
Core Technology
Other Technologies
Sustainable Development Goals
Required Resources
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| nrf52832-mdk | Equipment | 1 | 6500 | 6500 |
| Total in (Rs) | 6500 |
If you need this project, please contact me on contact@adikhanofficial.com
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