Design and implementation of low power bio signal sensors for wireless body sensing network applications

Continuous human surveillance alone will be useful for elderly people to realize the highest standard of living in human society. However, it is difficult to get such a setting as long as it can operate long hours without maintenances of its battery limitation. Biosensor signals, which are referred...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Microprocessors and microsystems 2020-11, Vol.79, p.103271, Article 103271
Hauptverfasser: Kalaivaani, P.T., Krishnamoorthi, Raja
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Continuous human surveillance alone will be useful for elderly people to realize the highest standard of living in human society. However, it is difficult to get such a setting as long as it can operate long hours without maintenances of its battery limitation. Biosensor signals, which are referred to as a device that consumes a lot of power in the system of a Microcontroller Unit (MCU), must be made continuously to signal samples of the biosensor. To decrease the power utilization of the Microcontroller Unit, and a low power application specific integrated circuit for biosensors feature extraction is designed for the replacement of a role of the microcontroller unit to extract the characteristic values of bio signal. In this investigation, an Application-Specific Integrated Circuit (ASIC) of Wireless Body Sensor Networks (WBSNs) is intended to fill in as a convention for medical use. The proposed wireless body sensor network comprise an newly designed sensor interfaces, integrated passive Radio Frequency (RF) receiver, contact ports, low-power Microcontroller Unit (MCU), wireless transistor control, a Power Management Unit (PMU), and an with low power harvesting capacity contains. The proposed method has been designed using 90 nm and 45 nm CMOS technology. Simulation results exhibit up to the change in noise immunity and lessening in power utilization contrasted with the traditional wireless body sensor networks design at a similar delay.
ISSN:0141-9331
1872-9436
DOI:10.1016/j.micpro.2020.103271