scholarly journals Design of a Low-Power On-Body ECG Classifier for Remote Cardiovascular Monitoring Systems

Author(s):  
Taihai Chen ◽  
Evangelos B. Mazomenos ◽  
Koushik Maharatna ◽  
Srinandan Dasmahapatra ◽  
Mahesan Niranjan
2020 ◽  
Vol 37 (5) ◽  
pp. 85-93 ◽  
Author(s):  
Gregoire Surrel ◽  
Tomas Teijeiro ◽  
Amir Aminifar ◽  
David Atienza ◽  
Matthieu Chevrier

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1050
Author(s):  
Federico Zanelli ◽  
Francesco Castelli-Dezza ◽  
Davide Tarsitano ◽  
Marco Mauri ◽  
Maria Laura Bacci ◽  
...  

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.


2017 ◽  
Vol 64 (3) ◽  
pp. 621-628 ◽  
Author(s):  
Haik Kalantarian ◽  
Costas Sideris ◽  
Bobak Mortazavi ◽  
Nabil Alshurafa ◽  
Majid Sarrafzadeh

2020 ◽  
Vol 180 ◽  
pp. 107425
Author(s):  
Angelo Trotta ◽  
Marco Di Felice ◽  
Luca Perilli ◽  
Eleonora Franchi Scarselli ◽  
Tullio Salmon Cinotti

2013 ◽  
Vol 846-847 ◽  
pp. 680-683
Author(s):  
Xian Jie Feng

In the OTN+WiMax control system of Metro, the use of wireless backhaul can reduce costs and increase security. This paper presented a variety of OTN+WiMax hardware solution for Metro monitoring systems for wireless backhaul system by comparing the variety of chips; For WiMAX, Wi-Fi coexisting wireless backhaul situation, we put forward the hardware design using low-power high-speed chip of Infineon's SMARTi hardware design,, and pointed out that the design programme belongs to energy-saving green environmental. Also we used Intel WiMAX Connection 2,400 chip design hardware programme of wireless backhaul system for monitoring. At last, The software radio technology is applied to wireless backhaul system.


Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4480 ◽  
Author(s):  
Yuguang Fu ◽  
Tu Hoang ◽  
Kirill Mechitov ◽  
Jong Kim ◽  
Dichuan Zhang ◽  
...  

Wireless smart sensors (WSS) have been proposed as an effective means to reduce the high cost of wired structural health monitoring systems. However, many damage scenarios for civil infrastructure involve sudden events, such as strong earthquakes, which can result in damage or even failure in a matter of seconds. Wireless monitoring systems typically employ duty cycling to reduce power consumption; hence, they will miss such events if they are in power-saving sleep mode when the events occur. This paper develops a demand-based WSS to meet the requirements of sudden event monitoring with minimal power budget and low response latency, without sacrificing high-fidelity measurements or risking a loss of critical information. In the proposed WSS, a programmable event-based switch is implemented utilizing a low-power trigger accelerometer; the switch is integrated in a high-fidelity sensor platform. Particularly, the approach can rapidly turn on the WSS upon the occurrence of a sudden event and seamlessly transition from low-power acceleration measurement to high-fidelity data acquisition. The capabilities of the proposed WSS are validated through laboratory and field experiments. The results show that the proposed approach is able to capture the occurrence of sudden events and provide high-fidelity data for structural condition assessment in an efficient manner.


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