CARE-DAQ: Low Cost Open Source Wireless Biomedical Data Acquisition System

In this work, CARE-DAQ, a low-cost, open source Wi-Fi-enabled multi-channel Data Acquisition (DAQ) system, has been designed and developed for biomedical signal acquisition and telemetry. An ESP32-based, 4-channel, 12-bit DAQ system with Wi-Fi communication capabilities has been developed. The proposed DAQ system is capable of acquiring Photoplethysmography (PPG), Electrocardiography (ECG), Electromyography (EMG), and Phonocardiography (PCG) signals. This work demonstrates the acquisition of PPG and ECG signals using the CARE-DAQ and its analysis. The proposed DAQ system acts as TCP server and connects with the TCP client application, which retrieves the data from it. A MATLAB GUI application has been developed for remote monitoring and further real-time processing of the acquired signals. The application developed has the capability of deriving the heart rate, R-R interval, and Heart Rate Variability (HRV). The Heart rate derived from CARE-DAQ data has a Root Mean Square Error (RMSE) of 1.32 BPM when compared with a commercial pulse oximeter.

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Published
2025-03-26
DOI
https://doi.org/10.1109/icbsii65145.2025.11013901
Primary Topic
Wireless Body Area Networks
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article
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article

CARE-DAQ: Low Cost Open Source Wireless Biomedical Data Acquisition System

Ramakrishnan Maharajan
Wireless Body Area Networks
article

CARE-DAQ: Low Cost Open Source Wireless Biomedical Data Acquisition System

Ramakrishnan Maharajan
article en

Abstract

In this work, CARE-DAQ, a low-cost, open source Wi-Fi-enabled multi-channel Data Acquisition (DAQ) system, has been designed and developed for biomedical signal acquisition and telemetry. An ESP32-based, 4-channel, 12-bit DAQ system with Wi-Fi communication capabilities has been developed. The proposed DAQ system is capable of acquiring Photoplethysmography (PPG), Electrocardiography (ECG), Electromyography (EMG), and Phonocardiography (PCG) signals. This work demonstrates the acquisition of PPG and ECG signals using the CARE-DAQ and its analysis. The proposed DAQ system acts as TCP server and connects with the TCP client application, which retrieves the data from it. A MATLAB GUI application has been developed for remote monitoring and further real-time processing of the acquired signals. The application developed has the capability of deriving the heart rate, R-R interval, and Heart Rate Variability (HRV). The Heart rate derived from CARE-DAQ data has a Root Mean Square Error (RMSE) of 1.32 BPM when compared with a commercial pulse oximeter.

SRM University (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 89%
Wireless Body Area Networks
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CARE-DAQ: Low Cost Open Source Wireless Biomedical Data Acquisition System — Ramakrishnan Maharajan · (2025) | TGRS Research Map | TGRS