Abstract Recent advancements in non-invasive health mon-itoring technologies underscore the potential of mm-WaveFrequency-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 undervarious conditions. Comprising data from ten participants, in-cluding scenarios with elevated heart rates and participants withdiverse physiological profiles such as asthma and meditationpractitioners, this dataset is validated against the Polar H10sensor, ensuring its reliability for scientific research. This datasetcan offer a significant resource for developing and testingalgorithms aimed at non-invasive health monitoring, promising tofacilitate advancements in remote health monitoring technologies.
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Sadeghi et al. (2024) studied this question.
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