Dynamic Computation Offloading for Low-Power Wearable Health Monitoring Systems.
IEEE Trans Biomed Eng
; 64(3): 621-628, 2017 03.
Article
em En
| MEDLINE
| ID: mdl-28113209
ABSTRACT
OBJECTIVE:
The objective of this paper is to describe and evaluate an algorithm to reduce power usage and increase battery lifetime for wearable health-monitoring devices.METHODS:
We describe a novel dynamic computation offloading scheme for real-time wearable health monitoring devices that adjusts the partitioning of data processing between the wearable device and mobile application as a function of desired classification accuracy.RESULTS:
By making the correct offloading decision based on current system parameters, we show that we are able to reduce system power by as much as 20%.CONCLUSION:
We demonstrate that computation offloading can be applied to real-time monitoring systems, and yields significant power savings.SIGNIFICANCE:
Making correct offloading decisions for health monitoring devices can extend battery life and improve adherence.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Fontes de Energia Elétrica
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Algoritmos
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Armazenamento e Recuperação da Informação
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Monitorização Ambulatorial
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Aplicativos Móveis
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Smartphone
Idioma:
En
Ano de publicação:
2017
Tipo de documento:
Article