Tutorials on Usability Testing, Setting up Diagnostics, and Health Status Monitoring

2011 ◽  
pp. 63-80
Keyword(s):  
Health Status ◽  
Usability Testing ◽  
Status Monitoring

scholarly journals An operation health status monitoring algorithm of special transformers based on BIRCH and Gaussian cloud methods

2021 ◽  
Vol 7 ◽  
pp. 253-260
Author(s):  
Zhenyue Chu ◽  
Weifeng Wang ◽  
Bangzhun Li ◽  
Weichao Jin ◽  
Shengyuan Liu ◽  
...  
Keyword(s):  
Health Status ◽  
Status Monitoring ◽  
Monitoring Algorithm

UWB Sensor Assisted Self-Quarantined Person Health Status Monitoring using LSTM

2021 ◽  
Author(s):  
Fabliha Bushra Islam ◽  
Cosmas Ifeanyi Nwakanma ◽  
Jae-Min Lee ◽  
Dong-Seong Kim
Keyword(s):  
Health Status ◽  
Status Monitoring

scholarly journals Evaluating spectral indices for winter wheat health status monitoring in Bloemfontein using Lsat 8 data

2016 ◽  
Vol 5 (2) ◽  
pp. 227 ◽  
Author(s):  
Zinhle Mashaba ◽  
George Chirima ◽  
Joel Botai ◽  
Ludwig Combrinck ◽  
Cilence Munghemezulu
Keyword(s):  
Health Status ◽  
Winter Wheat ◽  
Spectral Indices ◽  
Status Monitoring

Health status monitoring system based on speech analysis

2020 ◽  
Vol 1 (1) ◽  
pp. 99-106
Author(s):  
Bofan Shen ◽  
Jiahui Du ◽  
Jiachen Guo ◽  
Tianbao Guo ◽  
Yao Qin ◽  
...  
Keyword(s):  
Health Status ◽  
Monitoring System ◽  
Speech Analysis ◽  
Status Monitoring

scholarly journals Possibilities of Personal Health Status Monitoring

2014 ◽  
Vol 10 (1) ◽  
Author(s):  
Jan Havlík ◽  
Jan Dvorak ◽  
Jakub Parak ◽  
Matous Pokorny ◽  
Lenka Lhotska ◽  
...  
Keyword(s):  
Health Status ◽  
Personal Health ◽  
Status Monitoring

An Overview of Patient’s Health Status Monitoring System Based on Internet of Things (IoT)

2020 ◽  
Vol 114 (3) ◽  
pp. 2235-2262 ◽  
Author(s):  
Kadhim Takleef Kadhim ◽  
Ali M. Alsahlany ◽  
Salim Muhsin Wadi ◽  
Hussein T. Kadhum
Keyword(s):  
Health Status ◽  
Internet Of Things ◽  
Monitoring System ◽  
Status Monitoring

Thinking eHealth

2019 ◽  
pp. 290-312
Author(s):  
Izabella V. Lokshina ◽  
Michael R. Bartolacci
Keyword(s):  
Health Status ◽  
Young People ◽  
Health Management ◽  
Management Strategies ◽  
Overweight And Obesity ◽  
Psychological Status ◽  
Inference System ◽  
Status Monitoring ◽  
Individual Health Status ◽  
Psychological Influence

This chapter explains eHealth; discusses experiences, health management strategies, and healthcare models to address overweight and obesity in young population; and focuses on mathematical background of individual health status monitoring system to empower young people to manage their health. The proposed system uses symptoms observed with mobile sensing devices to define individual physical and psychological status. It has flexible logical inference system providing positive psychological influence on young people since full acceptance of recommendations towards healthy lifestyles is reached and correct interpretation is guaranteed. Models and algorithms are developed based on the composition inference rule in fuzzy logic that makes health status identification process faster and obtained results more precise and efficient comparing to traditional identification algorithms.

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