A low power fuzzy logic based variable resolution ADC for wireless ECG monitoring systems

2019 ◽  
Vol 57 ◽  
pp. 236-245 ◽  
Author(s):  
T. Thamaraimanalan ◽  
P. Sampath
Keyword(s):  
Fuzzy Logic ◽  
Low Power ◽  
Monitoring Systems ◽  
Ecg Monitoring ◽  
Variable Resolution

scholarly journals Design and Field Validation of a Low Power Wireless Sensor Node for Structural Health Monitoring

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1050
Author(s):  
Federico Zanelli ◽  
Francesco Castelli-Dezza ◽  
Davide Tarsitano ◽  
Marco Mauri ◽  
Maria Laura Bacci ◽  
...  
Keyword(s):  
Low Power ◽  
Sensor Node ◽  
Weather Conditions ◽  
Point Of View ◽  
Design Stage ◽  
Monitoring Systems ◽  
Wireless Sensor Node ◽  
Process Data ◽  
Fatigue Life Estimation ◽  
Remaining Fatigue Life

Smart monitoring systems are currently gaining more attention and are being employed in several technological areas. These devices are particularly appreciated in the structural field, where the collected data are used with purposes of real time alarm generation and remaining fatigue life estimation. Furthermore, monitoring systems allow one to take advantage of predictive maintenance logics that are nowadays essential tools for mechanical and civil structures. In this context, a smart wireless node has been designed and developed. The sensor node main tasks are to carry out accelerometric measurements, to process data on-board, and to send wirelessly synthetic information. A deep analysis of the design stage is carried out, both in terms of hardware and software development. A key role is played by energy harvesting integrated in the device, which represents a peculiar feature and it is thanks to this solution and to the adoption of low power components that the node is essentially autonomous from an energy point of view. Some prototypes have been assembled and tested in a laboratory in order to check the design features. Finally, a field test on a real structure under extreme weather conditions has been performed in order to assess the accuracy and reliability of the sensors.

Dynamic Computation Offloading for Low-Power Wearable Health Monitoring Systems

2017 ◽  
Vol 64 (3) ◽  
pp. 621-628 ◽  
Author(s):  
Haik Kalantarian ◽  
Costas Sideris ◽  
Bobak Mortazavi ◽  
Nabil Alshurafa ◽  
Majid Sarrafzadeh
Keyword(s):  
Low Power ◽  
Health Monitoring ◽  
Computation Offloading ◽  
Monitoring Systems ◽  
Dynamic Computation ◽  
Health Monitoring Systems ◽  
Wearable Health Monitoring Systems

Fuzzy Logic Active Yaw Control of a Low-Power Wind Generator

2021 ◽  
Vol 19 (11) ◽  
pp. 1941-1948
Author(s):  
Alfredo Haro ◽  
Hector Young ◽  
Boris Pavez
Keyword(s):  
Fuzzy Logic ◽  
Low Power ◽  
Yaw Control ◽  
Wind Generator

scholarly journals Event-Triggered Sensing for High-Quality and Low-Power Cardiovascular Monitoring Systems

2020 ◽  
Vol 37 (5) ◽  
pp. 85-93 ◽  
Author(s):  
Gregoire Surrel ◽  
Tomas Teijeiro ◽  
Amir Aminifar ◽  
David Atienza ◽  
Matthieu Chevrier
Keyword(s):  
Low Power ◽  
Monitoring Systems ◽  
Cardiovascular Monitoring ◽  
High Quality ◽  
Event Triggered

Robust fuzzy SRAM for accurate and ultra‐low‐power MVL and fuzzy logic applications

2016 ◽  
Vol 52 (25) ◽  
pp. 2032-2034
Author(s):  
M. Moonesan ◽  
R. Faghih Mirzaee ◽  
M. Sam Daliri ◽  
K. Navi
Keyword(s):  
Fuzzy Logic ◽  
Low Power ◽  
Ultra Low Power

Low power, variable resolution pipelined analog to Digital converter with sub flash architecture

2010 ◽  
Author(s):  
Mahesh Kumar Adimulam ◽  
Krishna Kumar Movva ◽  
Sreehari Veeramachaneni ◽  
N Moorthy Muthukrishnan ◽  
M.B Srinivas
Keyword(s):  
Low Power ◽  
Analog To Digital Converter ◽  
Digital Converter ◽  
Variable Resolution ◽  
Analog To Digital
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