Signal Quality for RR Interval Prediction on Wearable Sensors.
Annu Int Conf IEEE Eng Med Biol Soc
; 2019: 2525-2528, 2019 Jul.
Article
em En
| MEDLINE
| ID: mdl-31946411
ABSTRACT
Physiological responses are essential for health monitoring. Wearable devices are providing greater populations of people with the ability to monitor physiological signals during their day to day activities. However, wearable devices are particularly susceptible to degradation of signal quality due to noise from motion artifacts, environment, and user error. In this paper, we compare the impact of including signal quality on predictive models for RR intervals in a real world setting.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Artefatos
/
Eletrocardiografia
/
Razão Sinal-Ruído
/
Dispositivos Eletrônicos Vestíveis
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Frequência Cardíaca
Tipo de estudo:
Prognostic_studies
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Risk_factors_studies
Limite:
Adult
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Humans
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Male
Idioma:
En
Ano de publicação:
2019
Tipo de documento:
Article