# Towards Wireless Health Monitoring via Analog Signal Compression based   Biosensing Platform

**Authors:** Xueyuan Zhao, Vidyasagar Sadhu, Tuan Le, Dario Pompili, Mehdi, Javanmard

arXiv: 1907.00328 · 2019-07-02

## TL;DR

This paper introduces a wireless analog biosensor platform that compresses multiple biological signals into a single analog signal using innovative circuit designs, enabling efficient, low-power health monitoring.

## Contribution

The work presents a novel all-analog circuit for compressing multiple biosignals via AJSCC, including a flexible design supporting variable levels, demonstrated through PCB prototypes and simulations.

## Key findings

- High accuracy in sensing two biological signals simultaneously
- Suitable for low-power, low-cost wireless health monitoring
- Flexible AJSCC levels improve adaptability

## Abstract

Wireless all-analog biosensor design for concurrent microfluidic and physiological signal monitoring is presented in this work. The key component is an all-analog circuit capable of compressing two analog sources into one analog signal by Analog Joint Source-Channel Coding (AJSCC). Two circuit designs are discussed, including the stacked-Voltage Controlled Voltage Source (VCVS) design with the fixed number of levels, and an improved design, which supports a flexible number of AJSCC levels. Experimental results are presented on the wireless biosensor prototype, composed of Printed Circuit Board (PCB) realizations of the stacked-VCVS design. Furthermore, circuit simulation and wireless link simulation results are presented on the improved design. Results indicate that the proposed wireless biosensor is well suited for sensing two biological signals simultaneously with high accuracy, and can be applied to a wide variety of low-power and low-cost wireless continuous health monitoring applications.

## Full text

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## Figures

16 figures with captions in the complete paper: https://tomesphere.com/paper/1907.00328/full.md

## References

37 references — full list in the complete paper: https://tomesphere.com/paper/1907.00328/full.md

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Source: https://tomesphere.com/paper/1907.00328