In April 2016 Manchester eScholar was replaced by the University of Manchester’s new Research Information Management System, Pure. In the autumn the University’s research outputs will be available to search and browse via a new Research Portal. Until then the University’s full publication record can be accessed via a temporary portal and the old eScholar content is available to search and browse via this archive.

Ultra low power signal processing in mHealth: Opportunities and challenges

Alexander J. Casson

In: Engineering in Medicine and Biology Society (EMBC), 2015 Annual International Conference of the IEEE; Milan. 2015.

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Abstract

This mini-symposium talk will overview the state-of-the-art in wearable algorithms: the new signal processing approaches that are emerging for wearable devices which embed signal processing into the device hardware. They can be used to increase functionality and enable closed-loop recording–stimulation with minimal latency, amongst other benefits.

Bibliographic metadata

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Content type:
Type of conference contribution:
Publication date:
Author(s) list:
Conference title:
Engineering in Medicine and Biology Society (EMBC), 2015 Annual International Conference of the IEEE
Conference venue:
Milan
Abstract:
This mini-symposium talk will overview the state-of-the-art in wearable algorithms: the new signal processing approaches that are emerging for wearable devices which embed signal processing into the device hardware. They can be used to increase functionality and enable closed-loop recording–stimulation with minimal latency, amongst other benefits.

Institutional metadata

University researcher(s):

Record metadata

Manchester eScholar ID:
uk-ac-man-scw:272540
Created by:
Casson, Alex
Created:
10th September, 2015, 10:38:04
Last modified by:
Casson, Alex
Last modified:
10th September, 2015, 10:38:04

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