Comprehensive mm-Wave FMCW Radar Dataset for Vital Sign Monitoring: Embracing Extreme Physiological Scenarios

TL;DR

This paper presents a new comprehensive mm-Wave FMCW radar dataset capturing vital signs across extreme physiological scenarios, validated against standard sensors, to advance non-invasive health monitoring research.

Contribution

It introduces the first extensive mm-Wave FMCW radar dataset with diverse physiological conditions, enabling improved development of remote vital sign monitoring algorithms.

Findings

Dataset includes data from 10 participants with various conditions.

Validated against Polar H10 sensor for reliability.

Supports development of non-invasive health monitoring methods.

Abstract

Recent advancements in non-invasive health monitoring technologies underscore the potential of mm-Wave Frequency-Modulated Continuous Wave (FMCW) radar in real-time vital sign detection. This paper introduces a novel dataset, the first of its kind, derived from mm-Wave FMCW radar, meticulously capturing heart rate and respiratory rate under various conditions. Comprising data from ten participants, including scenarios with elevated heart rates and participants with diverse physiological profiles such as asthma and meditation practitioners, this dataset is validated against the Polar H10 sensor, ensuring its reliability for scientific research. This dataset can offer a significant resource for developing and testing algorithms aimed at non-invasive health monitoring, promising to facilitate advancements in remote health monitoring technologies.