The early warning research on nursing care of stroke patients with intelligent wearable devices under COVID-19.
Pers Ubiquitous Comput
; : 1-13, 2021 Jan 26.
Artículo
en Inglés
| MEDLINE | ID: covidwho-20238608
ABSTRACT
Stroke patients under the background of the new crown epidemic need to be home-based care. However, traditional nursing methods cannot take care of the patients' lives in all aspects. Based on this, based on machine learning algorithms, our work combines regression models and SVM to build a smart wearable device system and builds a system prediction module to predict patient care needs. The node is used to collect human body motion and physiological parameter information and transmit data wirelessly. The software is used to quickly process and analyze the various motion and physiological parameters of the patient and save the analysis and processing structure in the database. By comparing the results of nursing intervention experiments, we can see that the smart wearable device designed in this paper has a certain effect in stroke care.
Texto completo:
Disponible
Colección:
Bases de datos internacionales
Base de datos:
MEDLINE
Tipo de estudio:
Estudio pronóstico
Idioma:
Inglés
Revista:
Pers Ubiquitous Comput
Año:
2021
Tipo del documento:
Artículo
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