A study of Real-Time HRV Analysis Using a Commercial Wearable Device

2021 ◽  
Author(s):  
Eko Sakti Pramukantoro ◽  
Akio Gofuku
Keyword(s):  
Real Time ◽  
Wearable Device ◽  
Hrv Analysis

Real-Time High Jump Wearable Device with ESP8266 for High-Performance and Low-Injury

2018 ◽  
Vol 10 (3) ◽  
Author(s):  
Muhammad Faris Roslan ◽  
◽  
Afandi Ahmad ◽  
Abbes Amira ◽  
◽  
...  
Keyword(s):  
Real Time ◽  
High Performance ◽  
Wearable Device

Detecting Pedestrian Situation Awareness in Real-Time: Algorithm Development Using Heart Rate Variability and Phone Position

2018 ◽  
Vol 62 (1) ◽  
pp. 1579-1583
Author(s):  
Yourui Tong ◽  
Bochen Jia ◽  
Yi Wang ◽  
Si Yang
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Real Time ◽  
Situation Awareness ◽  
Mental State ◽  
Time Algorithm ◽  
Support Vector ◽  
Vehicle Design ◽  
Automated Vehicle ◽  
Hrv Analysis

To help automated vehicles learn surrounding environments via V2X communications, it is important to detect and transfer pedestrian situation awareness to the related vehicles. Based on the characteristics of pedestrians, a real-time algorithm was developed to detect pedestrian situation awareness. In the study, the heart rate variability (HRV) and phone position were used to understand the mental state and distractions of pedestrians. The HRV analysis was used to detect the fatigue and alert state of the pedestrian, and the phone position was used to define the phone distractions of the pedestrian. A Support Vector Machine algorithm was used to classify the pedestrian’s mental state. The results indicated a good performance with 86% prediction accuracy. The developed algorithm shows high applicability to detect the pedestrian’s situation awareness in real-time, which would further extend our understanding on V2X employment and automated vehicle design.

Design of a wearable device for real-time screening of urinary tract infection and kidney disease based on smartphone

The Analyst ◽  
2018 ◽  
Vol 143 (12) ◽  
pp. 2812-2818 ◽  
Author(s):  
Jianyu Zhou ◽  
Tao Dong
Keyword(s):  
Urinary Tract Infection ◽  
Urinary Tract ◽  
Quantitative Analysis ◽  
Kidney Disease ◽  
Tract Infection ◽  
Real Time ◽  
Low Cost ◽  
Wearable Device ◽  
Urine Samples

In this study, we developed a novel wearable and low-cost device for qualitative screening of glucose (GLU), leukocytes (LEU), and nitrite (NIT) and for semi-quantitative analysis of blood (BLD) and proteins (PRO) in the urine samples.

scholarly journals A New Wearable Device for Blood Pressure Estimation Using Photoplethysmogram

Sensors ◽  
2019 ◽  
Vol 19 (11) ◽  
pp. 2557 ◽  
Author(s):  
Remo Lazazzera ◽  
Yassir Belhaj ◽  
Guy Carrault
Keyword(s):  
Blood Pressure ◽  
Real Time ◽  
American Association ◽  
Index Finger ◽  
Pulse Transit Time ◽  
Estimation Algorithm ◽  
Wearable Device ◽  
Medical Instrumentation ◽  
Blood Pressure Estimation ◽  
Pulse Oximeters

We present a novel smartwatch, CareUp ® , for estimating the Blood Pressure (BP) in real time. It consists of two pulse oximeters: one placed on the back and one on the front of the device. Placing the index finger on the front oximeter starts the acquisition of two photoplethysmograms (PPG); the signals are then filtered and cross-correlated to obtain a Time Delay between them, called Pulse Transit Time (PTT). The Heart Rate (HR) (estimated from the finger PPG) and the PTT are then input in a linear model to give an estimation of the Systolic and Diastolic BP. The performance of the smartwatch in measuring BP have been validated in the Institut Coeur Paris Centre Turin (ICPC), using a sphygmomanometer, on 44 subjects. During the validation, the measures of the CareUp ® were compared to those of two oscillometry-based devices already available on the market: Thuasne ® and Magnien ® . The results showed an accuracy comparable to the oscillometry-based devices and they almost agreed with the American Association for the Advancement of Medical Instrumentation standard for non-automated sphygmomanometers. The integration of the BP estimation algorithm in the smartwatch makes the CareUp ® an easy-to-use, wearable device for monitoring the BP in real time.

Wearable device for real-time monitoring of human falls

Measurement ◽  
2007 ◽  
Vol 40 (9-10) ◽  
pp. 831-840 ◽  
Author(s):  
Chern-Sheng Lin ◽  
Hung Chun Hsu ◽  
Yun-Long Lay ◽  
Chuang-Chien Chiu ◽  
Chi-Shih Chao
Keyword(s):  
Real Time ◽  
Wearable Device ◽  
Real Time Monitoring

Research on Remote Wireless Pulse Monitoring and Analysis System

2014 ◽  
Vol 602-605 ◽  
pp. 1550-1554
Author(s):  
Hao Tian ◽  
Chao Qun Chu ◽  
Xiang Fan Piao
Keyword(s):  
Real Time ◽  
The Elderly ◽  
Ecg Signal ◽  
Real Time Monitoring ◽  
Pulse Detection ◽  
Modern Family ◽  
Hrv Analysis ◽  
Analysis System ◽  
Hardware Circuit ◽  
Important Significance

ECG signal contains a large number of health information of human body, the accurate measurement of ECG signal have important significance on the prevention and treatment of cardiovascular disease (CVD). The existing pulse detection instruments cannot meet the needs of today's society in terms of portability and real-time, especially for the elderly with CVD, it almost has nothing effect on real-time monitoring. Therefore, a wrist pulse real-time monitoring system is designed in this dissertation, which can make real-time detection and record the pulse information, and do short-term heart rate variability (HRV) analysis to the pulse information gained, to react and sent a distress signal with multilevel alarm mechanism quickly when the patient is sick, trying the best to ensure the safety of patients' life. Experimental results show that the hardware circuit of this system is stable and reliable, and pulse analysis algorithm has a good consistency with a small amount of data, this system can be applied to CVD monitoring in modern family.

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