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Development of intelligent monitoring system based on Internet of Things and wearable technology and exploration of its clinical application mode / 生物医学工程学杂志
Journal of Biomedical Engineering ; (6): 1053-1061, 2023.
Article en Zh | WPRIM | ID: wpr-1008934
Biblioteca responsable: WPRO
ABSTRACT
Wearable monitoring, which has the advantages of continuous monitoring for a long time with low physiological and psychological load, represents a future development direction of monitoring technology. Based on wearable physiological monitoring technology, combined with Internet of Things (IoT) and artificial intelligence technology, this paper has developed an intelligent monitoring system, including wearable hardware, ward Internet of Things platform, continuous physiological data analysis algorithm and software. We explored the clinical value of continuous physiological data using this system through a lot of clinical practices. And four value points were given, namely, real-time monitoring, disease assessment, prediction and early warning, and rehabilitation training. Depending on the real clinical environment, we explored the mode of applying wearable technology in general ward monitoring, cardiopulmonary rehabilitation, and integrated monitoring inside and outside the hospital. The research results show that this monitoring system can be effectively used for monitoring of patients in hospital, evaluation and training of patients' cardiopulmonary function, and management of patients outside hospital.
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Texto completo: 1 Base de datos: WPRIM Asunto principal: Inteligencia Artificial / Internet / Electrocardiografía / Dispositivos Electrónicos Vestibles / Internet de las Cosas / Monitoreo Fisiológico Límite: Humans Idioma: Zh Revista: Journal of Biomedical Engineering Año: 2023 Tipo del documento: Article
Texto completo: 1 Base de datos: WPRIM Asunto principal: Inteligencia Artificial / Internet / Electrocardiografía / Dispositivos Electrónicos Vestibles / Internet de las Cosas / Monitoreo Fisiológico Límite: Humans Idioma: Zh Revista: Journal of Biomedical Engineering Año: 2023 Tipo del documento: Article