Wearable devices for monitoring vital signs such as heart-rate, respiratory rate and blood pressure are demonstrating to have an increasing role in improving quality of life and in allowing prevention for chronic cardiac diseases. However, the design of a wearable system without reference to ground potential requires multi-level strategies to remove noise caused from power lines. This paper describes a bio-potential acquisition embedded system designed with an innovative analog front-end, showing the performance in EEG and ECG applications and the comparison between different noise reduction algorithms. We demonstrate that the proposed system is able to acquire bio-potentials with a signal quality equivalent to state-of-the-art bench-top biomedical devices and can be therefore used for monitoring purpose, with the advantages of a low-cost low-power wearable devices.
Multiple Biopotentials Acquisition System for Wearable Applications / Benini, L.; Huang, Q.; Fateh, S.; Rovere, G.; Bunjaku, P.; Schoenle, P.; Farella, E.; Tomasini, Marco; Milosevic, B.; Benatti, Simone. - STAMPA. - (2015), pp. 260-268. (Intervento presentato al convegno International Conference on Biomedical Electronics and Devices (BIOSTEC 2015) tenutosi a Lisbon, Portugal nel 12-15 January 2015) [10.5220/0005320302600268].
Multiple Biopotentials Acquisition System for Wearable Applications
BENINI, LUCA;ROVERE, GIANLUCA;TOMASINI, MARCO;MILOSEVIC, BOJAN;BENATTI, SIMONE
2015
Abstract
Wearable devices for monitoring vital signs such as heart-rate, respiratory rate and blood pressure are demonstrating to have an increasing role in improving quality of life and in allowing prevention for chronic cardiac diseases. However, the design of a wearable system without reference to ground potential requires multi-level strategies to remove noise caused from power lines. This paper describes a bio-potential acquisition embedded system designed with an innovative analog front-end, showing the performance in EEG and ECG applications and the comparison between different noise reduction algorithms. We demonstrate that the proposed system is able to acquire bio-potentials with a signal quality equivalent to state-of-the-art bench-top biomedical devices and can be therefore used for monitoring purpose, with the advantages of a low-cost low-power wearable devices.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.