Direct conversion Doppler radar vital sign detection system using power management technique

2014 ◽  
Vol 56 (9) ◽  
pp. 2167-2174 ◽  
Author(s):  
Chie-In Lee ◽  
Yan-Ting Lin ◽  
Jhih-Jie Chen ◽  
Wei-Cheng Lin
Keyword(s):  
Power Management ◽  
Vital Sign ◽  
Doppler Radar ◽  
Detection System ◽  
Direct Conversion ◽  
Management Technique ◽  
Sign Detection

A novel low-power transceiver topology for noncontact vital sign detection including the power management technique

2013 ◽  
Vol 44 (12) ◽  
pp. 1309-1315 ◽  
Author(s):  
Chie-In Lee ◽  
Yan-Ting Lin ◽  
Yu-Her Chen ◽  
Wei-Cheng Lin
Keyword(s):  
Low Power ◽  
Power Management ◽  
Vital Sign ◽  
Management Technique ◽  
Sign Detection

Instrument-Based Noncontact Doppler Radar Vital Sign Detection System Using Heterodyne Digital Quadrature Demodulation Architecture

2010 ◽  
Vol 59 (6) ◽  
pp. 1580-1588 ◽  
Author(s):  
Changzhan Gu ◽  
Changzhi Li ◽  
Jenshan Lin ◽  
Jiang Long ◽  
Jiangtao Huangfu ◽  
...  
Keyword(s):  
Vital Sign ◽  
Doppler Radar ◽  
Detection System ◽  
Quadrature Demodulation ◽  
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 Vital Sign Detection System during Bathing using Ultrasensitive Vibration Sensor

2017 ◽  
Vol 30 (7) ◽  
pp. 263-272
Author(s):  
Takenori Obo ◽  
Toshiyuki Sawayama ◽  
Takuya Sawayama ◽  
Naoyuki Kubota
Keyword(s):  
Vital Sign ◽  
Detection System ◽  
Vibration Sensor ◽  
Sign Detection
Sign in / Sign up

Export Citation Format

Share Document