Random Body Movement Cancellation in Doppler Radar Vital Sign Detection

2008 ◽  
Vol 56 (12) ◽  
pp. 3143-3152 ◽  
Author(s):  
Changzhi Li ◽  
Jenshan Lin
Keyword(s):  
Vital Sign ◽  
Doppler Radar ◽  
Body Movement ◽  
Sign Detection

scholarly journals Vital Sign Detection during Large-Scale and Fast Body Movements Based on an Adaptive Noise Cancellation Algorithm Using a Single Doppler Radar Sensor

Sensors ◽  
2020 ◽  
Vol 20 (15) ◽  
pp. 4183 ◽  
Author(s):  
Zi-Kai Yang ◽  
Heping Shi ◽  
Sheng Zhao ◽  
Xiang-Dong Huang
Keyword(s):  
Vital Sign ◽  
Large Scale ◽  
Doppler Radar ◽  
Noise Cancellation ◽  
Home Healthcare ◽  
Adaptive Noise Cancellation ◽  
Body Movements ◽  
Radar Sensor ◽  
Sign Detection ◽  
Adaptive Noise

The non-contact detection of human vital signs (i.e., respiration rate (RR) and heartbeat rate (HR)) using a continuous-wave (CW) Doppler radar sensor has great potential for intensive care monitoring, home healthcare, etc. However, large-scale and fast random body movement (RBM) has been a bottleneck for vital sign detection using a single CW Doppler radar. To break this dilemma, this study proposed a scheme combining adaptive noise cancellation (ANC) with polynomial fitting, which could retrieve the weak components of both respiration and heartbeat signals that were submerged under serious RBM interference. In addition, the new-type discrete cosine transform (N-DCT) was introduced to improve the detection accuracy. This scheme was first verified using a numerical simulation. Then, experiments utilizing a 10-GHz Doppler radar sensor that was built from general-purpose radio frequency (RF) and communication instruments were also carried out. No extra RF/microwave components and modules were needed, and neither was a printed circuit board nor an integrated-chip design required. The experimental results showed that both the RR and HR could still be extracted during large-scale and fast body movements using only a single Doppler radar sensor because the RBM noises could be greatly eliminated by utilizing the proposed ANC algorithm.

Vital-sign detection Doppler radar based on phase locked self- injection oscillator

2012 ◽  
Author(s):  
Ping-Hsun Wu ◽  
Je-Kuan Jau ◽  
Chien-Jung Li ◽  
Tzyy-Sheng Horng ◽  
Powen Hsu
Keyword(s):  
Vital Sign ◽  
Doppler Radar ◽  
Sign Detection

scholarly journals Single-Antenna Doppler Radars Using Self and Mutual Injection Locking for Vital Sign Detection With Random Body Movement Cancellation

2011 ◽  
Vol 59 (12) ◽  
pp. 3577-3587 ◽  
Author(s):  
Fu-Kang Wang ◽  
Tzyy-Sheng Horng ◽  
Kang-Chun Peng ◽  
Je-Kuan Jau ◽  
Jian-Yu Li ◽  
...  
Keyword(s):  
Vital Sign ◽  
Body Movement ◽  
Injection Locking ◽  
Single Antenna ◽  
Sign Detection ◽  
Mutual Injection Locking

scholarly journals Probabilities of False Alarm for Vital Sign Detection on the Basis of a Doppler Radar System

Sensors ◽  
2018 ◽  
Vol 18 (3) ◽  
pp. 694 ◽  
Author(s):  
Nguyen Phuoc Van ◽  
Liqiong Tang ◽  
Subhas Mukhopadhyay ◽  
Duc Nguyen ◽  
Faraz Hasan
Keyword(s):  
False Alarm ◽  
Vital Sign ◽  
Doppler Radar ◽  
Radar System ◽  
Sign Detection
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