Descriptor: Radar Acquired Data on Subjects Walking on a Treadmill (RADSWT)
Non-contact vital sign detection based on Doppler radar systems has become widely utilized in healthcare applications, attracting significant interest and research over the past decade. Despite the existence of reliable wireless methods for detecting vital signs in stationary subjects, considerable...
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Published in | IEEE Data Descriptions Vol. 1; pp. 154 - 158 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
IEEE
2024
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Subjects | |
Online Access | Get full text |
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Summary: | Non-contact vital sign detection based on Doppler radar systems has become widely utilized in healthcare applications, attracting significant interest and research over the past decade. Despite the existence of reliable wireless methods for detecting vital signs in stationary subjects, considerable attention is directed toward scenarios where the subject is in motion, as the motion amplitude is far greater than that of the vital signs and thus conceals them, making accurate detection more challenging. To address gaps in the literature, radar data were collected from subjects walking on a treadmill. The data acquisition involved 15 subjects walking for approximately 15 min each across four different experiments. The treadmill was positioned between two continuous wave radars, enabling the capture of data from both the subject's front and back, mainly focusing on the rib cage, capturing rib-cage movements (heart and respiratory motion) and body movement. This article describes the process of data acquisition, decoding, and the synchronization algorithm for respiratory waveform ground-truth, obtained from a system named BioPac.
IEEE SOCIETY/COUNCIL Engineering in Medicine and Biology Society (EMBS)
DATA TYPE/LOCATION Raw and demodulated radar signals; Aveiro, Portugal
DATA DOI/PID 10.21227/7y00-1183 |
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ISSN: | 2995-4274 2995-4274 |
DOI: | 10.1109/IEEEDATA.2024.3484390 |