A Novel Smart Sensing Platform for Vital Signs and Motor Activity Monitoring

2013 ◽  
pp. 1-24 ◽  
Author(s):  
M. Ribeiro ◽  
O. Postolache ◽  
P. Girão
Keyword(s):  
Motor Activity ◽  
Vital Signs ◽  
Activity Monitoring ◽  
Sensing Platform ◽  
Smart Sensing

scholarly journals FM-CW radar sensors for vital signs and motor activity monitoring

2011 ◽  
Vol 11 (10–12) ◽  
pp. e5 ◽  
Author(s):  
Octavian Adrian Postolache ◽  
Pedro Manuel Brito da Silva Girão ◽  
José Miguel Costa Dias Pereira ◽  
Gabriela Postolache
Keyword(s):  
Motor Activity ◽  
Vital Signs ◽  
Activity Monitoring ◽  
Radar Sensors ◽  
Cw Radar

scholarly journals IEEE1451 Smart Sensors Architectures for Vital Signs and Motor Activity Monitoring

2017 ◽  
pp. 291-314 ◽  
Author(s):  
Octavian Postolache ◽  
Vítor Viegas ◽  
João Freire ◽  
José Miguel Dias Pereira ◽  
Pedro Girão
Keyword(s):  
Motor Activity ◽  
Vital Signs ◽  
Activity Monitoring ◽  
Smart Sensors

Unobtrusive vital signs and activity monitoring based on dual mode fiber

2021 ◽  
Vol 64 ◽  
pp. 102530
Author(s):  
Wei Xu ◽  
Shihang Bian ◽  
Bo Dong ◽  
Ying Shen ◽  
Shuying Han ◽  
...  
Keyword(s):  
Vital Signs ◽  
Activity Monitoring ◽  
Dual Mode

scholarly journals Free-Living Motor Activity Monitoring in Ataxia-Telangiectasia

2021 ◽  
Author(s):  
Nergis C. Khan ◽  
Vineet Pandey ◽  
Krzysztof Z. Gajos ◽  
Anoopum S. Gupta
Keyword(s):  
Motor Activity ◽  
Ataxia Telangiectasia ◽  
Activity Monitoring ◽  
Free Living

scholarly journals Raspberry Pi based Smart Sensing Platform for Drinking Water Quality Monitoring System: A Python Framework Approach

2019 ◽  
Author(s):  
Punit Khatri ◽  
Karunesh Kumar Gupta ◽  
Raj Kumar Gupta
Keyword(s):  
Water Quality ◽  
Potable Water ◽  
Water Quality Monitoring ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Quality Monitoring ◽  
Computing Technique ◽  
Sensing Platform ◽  
Smart Sensing ◽  
Potable Water Quality

Abstract. Drinking or potable water quality monitoring is essential for mankind as it affects the human health directly or indirectly. This work reports a smart sensing platform for potable water quality monitoring. Five water quality parameters (pH, Dissolved Oxygen, Oxidation Reduction Potential, Electrical Conductivity, and Temperature) have been selected to monitor the water quality. The selection of water quality parameters is made based on guidelines of the Central Pollution and Control Board, New Delhi, India. A Graphical User Interface (GUI) is developed to provide an interactive Human Machine Interface for the end user. Python programming language is used for GUI development, data acquisition and for data analysis. Fuzzy computing technique is employed for decision making to categorize the water quality in different classes like bad, poor, satisfactory, good and excellent. The system has been tested for various water resources and results have been displayed.

Sign in / Sign up

Export Citation Format

Share Document