scholarly journals Vital Sign Measurement Using FBG Sensor for New Wearable Sensor Development

2019 ◽  
Author(s):  
Shouhei Koyama ◽  
Hiroaki Ishizawa
Keyword(s):  
Vital Sign ◽  
Wearable Sensor ◽  
Sensor Development ◽  
Fbg Sensor ◽  
Vital Sign Measurement

scholarly journals Vital Sign Measurement Using Covered FBG Sensor Embedded into Knitted Fabric for Smart Textile

2017 ◽  
Vol 73 (11) ◽  
pp. 300-308 ◽  
Author(s):  
Shouhei Koyama ◽  
Akio Sakaguchi ◽  
Hiroaki Ishizawa ◽  
Kurumi Yasue ◽  
Hiroki Oshiro ◽  
...  
Keyword(s):  
Vital Sign ◽  
Knitted Fabric ◽  
Fbg Sensor ◽  
Smart Textile ◽  
Vital Sign Measurement

Advance Monitoring of Blood Pressure and Respiratory Rate Using De-Noising Auto Encoder

2021 ◽  
Author(s):  
Seung-Ho Park ◽  
Kyoung-Su Park
Keyword(s):  
Blood Pressure ◽  
Respiratory Rate ◽  
Vital Sign ◽  
Superficial Temporal Artery ◽  
Vital Signs ◽  
Pulse Signal ◽  
Temporal Artery ◽  
Sinus Arrhythmia ◽  
Vital Signs Monitoring ◽  
Vital Sign Measurement

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.

Effect of vital sign measurement timing on Pulmonary Embolism Severity Index (PESI) and simplified PESI 30-day mortality risk determination

2016 ◽  
Vol 141 ◽  
pp. 8-10 ◽  
Author(s):  
Heather M. Rozjabek ◽  
Craig I. Coleman ◽  
Erin R. Weeda ◽  
W. Frank Peacock ◽  
Gregory J. Fermann ◽  
...  
Keyword(s):  
Pulmonary Embolism ◽  
Mortality Risk ◽  
Vital Sign ◽  
Severity Index ◽  
Vital Sign Measurement

Modified early warning scores have an equivocal effect on frequency of vital sign measurement

2011 ◽  
Vol 24 (1) ◽  
pp. 59
Author(s):  
N. Hammond ◽  
A. Spooner ◽  
A. Barnett ◽  
A. Corley ◽  
J. Fraser
Keyword(s):  
Early Warning ◽  
Vital Sign ◽  
Early Warning Scores ◽  
Vital Sign Measurement

Breathing New Life Into Vital Sign Measurement

2019 ◽  
Vol 14 (11) ◽  
pp. 719-720
Author(s):  
Timothy Capecchi ◽  
Andrew PJ Olson
Keyword(s):  
Vital Sign ◽  
Vital Sign Measurement

scholarly journals A High Sensitivity of Vital Signs Detector using Fiber Optic-based Fabry-Perot Interferometer

2020 ◽  
Vol 18 (2) ◽  
pp. 98-106
Author(s):  
Saroj Pullteap ◽  
Piyawat Samartkit
Keyword(s):  
Vital Sign ◽  
Fiber Optic ◽  
Vital Signs ◽  
High Sensitivity ◽  
Average Error ◽  
Arterial Pulse ◽  
Fabry Perot ◽  
Vital Sign Measurement ◽  
Interference Signals ◽  
Reference Sensor

In this paper, a development of high sensitivity for vital sign detector based on the fiber optic-based Fabry-Perot interferometer (FFPI) has been proposed. Two interested parameters; heart rate (HR), and also blood pressure (BP) are measured as the vital sign parameters for investigating the performance of the FFPI. Particularly, the proposed sensor is exploited to detect human arterial pulse for indicating the number of interference signals (fringes). A fringe counting technique is, consequently, applied in associate with the deflection of material technique to demodulate the observed number of fringes into HR and BP. Additionally, the reflective thin film with reflectance of approximately 55% is utilized for attaching to the human wrist during the measurement. Furthermore, a digital sphygmomanometer model OMRON HEM-7130 is employed as a reference sensor. After 20 times of repeatability on the same human subject, the FFPI could indicate the systolic and diastolic BP, as well as HR, with average error of 0.94%, 1.64%, and 1.01%, respectively. Moreover, the FFPI could determine the mentioned parameters in decimal numbers, as opposed to the reference sensor. This could, thus, verified that the FFPI is a very sensitive and more precise instrument for applying to the vital sign measurement.

Vital Sign Detection Method in FBG Sensor

2019 ◽  
Vol 75 (12) ◽  
pp. P-641-P-643
Author(s):  
SHOUHEI KOYAMA
Keyword(s):  
Vital Sign ◽  
Detection Method ◽  
Fbg Sensor ◽  
Sign Detection
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