Smartphone Based Real-Time Health Monitoring and Intervention

2017 ◽  
pp. 473-514 ◽  
Author(s):  
Daniel Aranki ◽  
Gregorij Kurillo ◽  
Ruzena Bajcsy
Keyword(s):  
Real Time ◽  
Health Monitoring

A novel real-time health monitoring system for unmanned vehicles

2008 ◽  
Author(s):  
David C. Zhang ◽  
Lien Ouyang ◽  
Peter Qing ◽  
Irene Li
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Health Monitoring ◽  
Unmanned Vehicles ◽  
Health Monitoring System

Angle‐Insensitive Fabry–Perot Mechanochromic Sensor for Real‐Time Structural Health Monitoring

2021 ◽  
pp. 2100118
Author(s):  
Gijoon Bae ◽  
Minseok Seo ◽  
Sangjun Lee ◽  
Donghyun Bae ◽  
Myeongkyu Lee
Keyword(s):  
Structural Health Monitoring ◽  
Real Time ◽  
Health Monitoring ◽  
Structural Health ◽  
Fabry Perot

scholarly journals Arrays of Conformable Ultrasonic Lamb Wave Transducers for Structural Health Monitoring with Real-time Electronics

2014 ◽  
Vol 87 ◽  
pp. 1266-1269 ◽  
Author(s):  
L. Capineri ◽  
A. Bulletti ◽  
M. Calzolai ◽  
P. Giannelli ◽  
D. Francesconi
Keyword(s):  
Structural Health Monitoring ◽  
Real Time ◽  
Health Monitoring ◽  
Lamb Wave ◽  
Structural Health

scholarly journals Traffic sensor health monitoring using spatiotemporal graphical modeling

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Linjiang Wu ◽  
Chao Liu ◽  
Tingting Huang ◽  
Anuj Sharma ◽  
Soumik Sarkar
Keyword(s):  
Health Status ◽  
Real Time ◽  
Sensor Network ◽  
Health Monitoring ◽  
Series Data ◽  
Spatiotemporal Pattern ◽  
Graphical Modeling ◽  
Traffic Sensors ◽  
Wide Range ◽  
Sensor Health

Accurate traffic sensor data is essential for traffic operation management systems and acquisition of real-time traffic surveillance data depends heavily on the reliability of the traffic sensors (e.g., wide range detector, automatic traffic recorder). Therefore, detecting the health status of the sensors in a traffic sensor network is critical for the departments of transportation as well as other public and private entities, especially in the circumstances where real-time decision is required. With the purpose of efficiently determining the sensor health status and identifying the failed sensor(s) in a timely manner, this paper proposes a graphical modeling approach called spatiotemporal pattern network (STPN). Traffic speed and volume measurement sensors are used in this paper to formulate and analyze the proposed sensor health monitoring system and historical time-series data from a network of traffic sensors on the Interstate 35 (I-35) within the state of Iowa is used for validation. Based on the validation results, we demonstrate that the proposed approach can: (i) extract spatiotemporal dependencies among the different sensors which leads to an efficient graphical representation of the sensor network in the information space, and (ii) distinguish and quantify a sensor issue by leveraging the extracted spatiotemporal relationship of the candidate sensor(s) to the other sensors in the network.

scholarly journals SOLUÇÃO DE BAIXO CUSTO PARA O MONITORAMENTO DE SINAIS VITAIS, EM TEMPO REAL, FAZENDO USO DE SENSORES E ARDUINO

2020 ◽  
Vol 12 (2) ◽  
pp. 102-118
Author(s):  
Alexandre dos Santos Gonsalves ◽  
Robson Augusto Siscoutto
Keyword(s):  
Real Time ◽  
Health Monitoring ◽  
Low Cost ◽  
Vital Signs ◽  
Chronic Illnesses ◽  
Wireless Sensor ◽  
Health Monitoring System ◽  
Physical Exercises ◽  
Time Observation ◽  
Real Time Observation

The health monitoring system has become indispensable in the treatment of patients, especially for those who have chronic illnesses and need real-time observation from doctors and specialists. This article presents a low-cost wireless solution for monitoring, in real time, vital signs such as cardiac beats, breathing and blood pressure, collecting and sending data to a remote computer. During development, a wireless sensor box was created, using Arduino Nano and bluetooh sensors, where this box is attached to the patient's body, respecting the patient's flexibility and mobility during physical exercises. During the monitoring, the captured data is transmitted via the bluetooh network. The box uses a battery for its food. After the evaluation, the solution obtained a performance and correctness of the data close to 100%, being considered fit for use. Several experiments were carried out to analyze, quantify and qualify the solution, being discussed and presented in this paper.

scholarly journals Real Time Wireless Health Monitoring System

2014 ◽  
Vol 9 (3) ◽  
pp. 31-38 ◽  
Author(s):  
Asad Khaliq ◽  
◽  
M. Abdullah Awan ◽  
M. UmairSaleh ◽  
M. Waseem Abbas HusnulMaab ◽  
...  
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Health Monitoring ◽  
Wireless Health ◽  
Health Monitoring System ◽  
Wireless Health Monitoring
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