The arterial pulse wave, which propagates along the artery, is an important indicator of various cardiovascular diseases. By measuring the displacement at multiple parts of the human body, pulse wave velocity can be estimated from the pulse transit time. This paper proposes a technique for signal separation using an antenna array, so that pulse wave propagation can be measured in a non-contact manner. The body displacements due to the pulse wave at different body parts are highly correlated, and cannot be accurately separated using techniques that assume independent or uncorrelated signals. The proposed method formulates the signal separation as an optimization problem, based on a mathematical model of the arterial pulse wave. The objective function in the optimization comprises four terms that are derived based on a small-displacement approximation, unimodal impulse response approximation, and a causality condition. The optimization process was implemented using a genetic algorithm. The effectiveness of the proposed method is demonstrated through numerical simulations and experiments.
Transformer-Based Heartbeat Monitoring with FMCW Radar Under Random Body Motion
Dept. of Information Engineering, University of Pisa（比萨大学信息工程系）；Radar and Surveillance Systems (RaSS) National Laboratory, CNIT（CNIT雷达与监视系统（RaSS）国家实验室）
Tracing Human Stress from Physiological Signals using UWB Radar
Guangzhou University（广州大学）；Guangxi University（广西大学）；Fudan University（复旦大学）；Huazhong University of Science and Technology（华中科技大学）；Nanjing University of Aeronautics and Astronautics（南京航空航天大学）；Singapore University of Technology and Design（新加坡科技设计大学）
UWB Radar-based Heart Rate Monitoring: A Transfer Learning Approach
Google（谷歌）；NIHR Sheffield Biomedical Research Centre（英国谢菲尔德生物医学研究中心）；Sheffield Teaching Hospitals NHS Foundation Trust（谢菲尔德教学医院国家健康服务基金会信托）；University of Sheffield（谢菲尔德大学）；Imperial College London（伦敦帝国学院）
Design and Measurements of mmWave FMCW Radar Based Non-Contact Multi-Patient Heart Rate and Breath Rate Monitoring System
Centre for VLSI and Embedded Systems Technology (CVEST), IIIT Hyderabad, India（非常规集成电路与嵌入式系统技术中心（CVEST），IIIT海得拉巴，印度）；Department of Electronics Engineering, Z.H.C.E.T. Aligarh Muslim University, India（电子工程系，斋赫·切特·阿利加尔穆斯林大学，印度）
Diffusion-Based Heart Sound Generation: Evaluation with Physiological Signal Metrics, Classifiers, and Expert Listening
Department of Information Science & Engineering, KTH Royal Institute of Technology（信息科学与工程系，皇家理工学院）；Rutherford Appleton Laboratory（拉瑟福德·苹果顿实验室）；Peng Cheng Laboratory（鹏城实验室）；Department of Engineering, King’s College London（工程系，伦敦国王学院）
Towards Generalizable Drowsiness Monitoring with Physiological Sensors: A Preliminary Study
The Hong Kong University of Science and Technology (Guangzhou)（香港科技大学（广州））；University of Toronto（多伦多大学）；The Hong Kong University of Science and Technology（香港科技大学）
Differentiating Physical and Psychological Stress Using Wearable Physiological Signals and Salivary Cortisol
Institute for Manufacturing, Department of Engineering, University of Cambridge（剑桥大学工程学院制造研究所）；Electrical Engineering Division, Department of Engineering, University of Cambridge（剑桥大学工程学院电气工程系）；School of Electrical and Electronic Engineering, University College Dublin（都柏林大学学院电气与电子工程学院）；Division of Anaesthesia, Department of Medicine, University of Cambridge, Addenbrooke’s Hospital（剑桥大学医学院麻醉科阿登布鲁克斯医院）
