Preprint Article Version 1 NOT YET PEER-REVIEWED

A Detailed Algorithm for Vital Sign Monitoring of a Stationary/Non-Stationary Human through IR-UWB Radar

  1. Department of Electronics and Computer Engineering, Hanyang University, 222 Wangsimini-ro, Seongdong-gu, Seoul 04763, South Korea
Version 1 : Received: 6 November 2016 / Approved: 7 November 2016 / Online: 7 November 2016 (07:17:46 CET)
Version 2 : Received: 7 November 2016 / Approved: 8 November 2016 / Online: 8 November 2016 (08:32:33 CET)

How to cite: Khan, F.; Cho, S. A Detailed Algorithm for Vital Sign Monitoring of a Stationary/Non-Stationary Human through IR-UWB Radar. Preprints 2016, 2016110039 (doi: 10.20944/preprints201611.0039.v1). Khan, F.; Cho, S. A Detailed Algorithm for Vital Sign Monitoring of a Stationary/Non-Stationary Human through IR-UWB Radar. Preprints 2016, 2016110039 (doi: 10.20944/preprints201611.0039.v1).

Abstract

In order to maintain mobility of patient and avoid cables which confine patient to a bed, it is important to monitor the patient wirelessly. The continuous non-invasive monitoring of vital signs helps in early detection of patient deterioration which is very important for the safety of patient. In this paper IR UWB radar is used for the monitoring of respiration and heart rate of a human. The breathing and heart rate frequencies are extracted from the signal reflected from the human body. A Kalman filter is applied to remove the measurement noise from the vital signal. An algorithm is presented to separate the heart rate signal from the breathing harmonics. An autocorrelation based technique is applied for detecting the motion of the human during the measurement process. Experiments are performed in different scenarios in order to show the validity of the algorithm. The sensor is first placed in front of the human and then at the back side of the human. The results from both scenarios are compared for the respiration and heartbeat estimation accuracy.

Subject Areas

vital signs; IR UWB radar; harmonics; algorithm; respiration rate; heart rate; motion detection

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