Arrhythmia Detection based on Photoplethysmography
Cristina Cippitelli
Arrhythmia Detection based on Photoplethysmography.
Rel. Gabriella Olmo. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Biomedica, 2019
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Abstract
The purpose of this work is to create an embedded system, acting as a Body Area Network. The device should allow real-time arrhythmias detection and be able to store and download the detected alarms, in order to send them to a specialist, who provides for a more accurate analysis and decides if further investigations are needed. This is possible thanks to the Bio2Bit Move, a prototype of wearable device developed by STMicroelectonics. The board is plugged in an adjustable wrist strap, which acquires and transmits signals and alarms via Bluetooth Low Energy. The analysis for the arrhythmia detection is carried out using the photoplethysmographic signal at green wavelength, under reflectance mode.
This allows to make non-invasive monitoring in almost any part of the body, enabling in this way, the continuous monitoring of the cardiac condition over a long period of time, as opposed to the devices currently used in clinic for arrhythmia’s diagnosis (ECG, Holter Monitor, Event Monitor)
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