Radar acquired data on subjects walking on a treadmill

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 towards scenarios where the subject is in motion. To address gaps in the literature, radar data were collected from subjects walking on a treadmill. The data acquisition involved 15 subjects walking for an approximate total of 15 minutes each across four different experiments. The treadmill was positioned between two Continuous Wave radars, enabling the capture of data from both the front and the back of the subject. This paper describes the process of data acquisition, decoding, and the synchronization algorithm for ground-truth data, obtained from a system named BioPac.基于多普勒雷达（Doppler Radar）系统的非接触式生命体征检测技术，现已在医疗保健场景中得到广泛应用，近十年来引发了学界的广泛关注与研究热潮。尽管目前已存在针对静止受试者的可靠无线生命体征检测方法，但学界仍将大量注意力投向受试者处于运动状态的检测场景。为弥补现有文献中的研究空白，本数据集采集了受试者在跑步机上行走时的雷达数据。本次数据采集共招募15名受试者，在4组不同实验中，每名受试者累计行走时长约15分钟。实验将跑步机置于两台连续波雷达（Continuous Wave Radar）之间，可同时采集受试者前方与后方的雷达数据。本文详细阐述了该数据集的数据采集、解码流程，以及从BioPac系统获取的基准真值（ground truth）数据的同步算法。