Wearable sensors are widely adopted for the provision of healthcare services. Unfortunately the noise always degrades the quality of the acquired signals. In this paper, we propose a framework for mobile ECG denoising, based on a novel numerical scheme with low computational requirements. The proposed system is able to store a signal from a wearable sensor and process it in a remote way or directly on the device.
A framework for ECG denoising for mobile devices / Cuomo, Salvatore; Galletti, A.; Farina, Raffaele; DE PIETRO, Giuseppe; Sannino, G.. - (2015), pp. 1-4. (Intervento presentato al convegno 8th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2015 tenutosi a grc nel 2015) [10.1145/2769493.2769560].
A framework for ECG denoising for mobile devices
CUOMO, SALVATORE;FARINA, RAFFAELE;DE PIETRO, Giuseppe;
2015
Abstract
Wearable sensors are widely adopted for the provision of healthcare services. Unfortunately the noise always degrades the quality of the acquired signals. In this paper, we propose a framework for mobile ECG denoising, based on a novel numerical scheme with low computational requirements. The proposed system is able to store a signal from a wearable sensor and process it in a remote way or directly on the device.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
