Super-resolution spectral estimation in short-time non-contact vital sign measurement

2015 ◽  
Vol 86 (4) ◽  
pp. 044708 ◽  
Author(s):  
Li Sun ◽  
Yusheng Li ◽  
Hong Hong ◽  
Feng Xi ◽  
Weidong Cai ◽  
...  
1995 ◽  
Vol 31 (17) ◽  
pp. 1413-1415 ◽  
Author(s):  
Jun-Seok Lim ◽  
K.M. Sung ◽  
Han-Su Kim

Author(s):  
Seung-Ho Park ◽  
Kyoung-Su Park

Abstract As the importance of continuous vital signs monitoring increases, the need for wearable devices to measure vital sign is increasing. In this study, the device is designed to measure blood pressure (BP), respiratory rate (RR), and heartrate (HR) with one sensor. The device is in earphone format and is manufactured as wireless type using Arduino-based bluetooth module. The device measures pulse signal in the Superficial temporal artery using Photoplethysmograghy (PPG) sensor. The device uses the Auto Encoder to remove noise caused by movement, etc., contained in the pulse signal. Extract the feature from the pulse signal and use them for the vital sign measurement. The device is measured using Slope transit time (STT) method for BP and Respiratory sinus arrhythmia (RSA) method for RR. Finally, the accuracy is determined by comparing the vital signs measured through the device with the reference vital signs measured simultaneously.


2017 ◽  
pp. 445-490
Author(s):  
Ruliang Yang ◽  
Haiying Li ◽  
Shiqiang Li ◽  
Ping Zhang ◽  
Lulu Tan ◽  
...  

2019 ◽  
Vol 11 (10) ◽  
pp. 1237 ◽  
Author(s):  
Hyunjae Lee ◽  
Byung-Hyun Kim ◽  
Jin-Kwan Park ◽  
Jong-Gwan Yook

A novel non-contact vital-sign sensing algorithm for use in cases of multiple subjects is proposed. The approach uses a 24 GHz frequency-modulated continuous-wave Doppler radar with the parametric spectral estimation method. Doppler processing and spectral estimation are concurrently implemented to detect vital signs from more than one subject, revealing excellent results. The parametric spectral estimation method is utilized to clearly identify multiple targets, making it possible to distinguish multiple targets located less than 40 cm apart, which is beyond the limit of the theoretical range resolution. Fourier transformation is used to extract phase information, and the result is combined with the spectral estimation result. To eliminate mutual interference, the range integration is performed when combining the range and phase information. By considering breathing and heartbeat periodicity, the proposed algorithm can accurately extract vital signs in real time by applying an auto-regressive algorithm. The capability of a contactless and unobtrusive vital sign measurement with a millimeter wave radar system has innumerable applications, such as remote patient monitoring, emergency surveillance, and personal health care.


2016 ◽  
Vol 141 ◽  
pp. 8-10 ◽  
Author(s):  
Heather M. Rozjabek ◽  
Craig I. Coleman ◽  
Erin R. Weeda ◽  
W. Frank Peacock ◽  
Gregory J. Fermann ◽  
...  

2011 ◽  
Vol 24 (1) ◽  
pp. 59
Author(s):  
N. Hammond ◽  
A. Spooner ◽  
A. Barnett ◽  
A. Corley ◽  
J. Fraser

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