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[Portable Pulse Detection System Based on IoT].
Dai, Qijun; Zhao, Yuping; Wang, Qianqian; Lyu, Tao; Sun, Yulin; Duan, Hufei; Liu, Meili; Yang, Jinna; Wang, Honghao.
Afiliación
  • Dai Q; School of Electrical Engineering, Zhengzhou University, Zhengzhou, 450001.
  • Zhao Y; China Academy of Chinese Medical Sciences, Beijing, 100700.
  • Wang Q; School of Electrical Engineering, Zhengzhou University, Zhengzhou, 450001.
  • Lyu T; School of Electrical Engineering, Zhengzhou University, Zhengzhou, 450001.
  • Sun Y; School of Electrical Engineering, Zhengzhou University, Zhengzhou, 450001.
  • Duan H; School of Electrical Engineering, Zhengzhou University, Zhengzhou, 450001.
  • Liu M; School of Electrical Engineering, Zhengzhou University, Zhengzhou, 450001.
  • Yang J; School of Electrical Engineering, Zhengzhou University, Zhengzhou, 450001.
  • Wang H; School of Electrical Engineering, Zhengzhou University, Zhengzhou, 450001.
Zhongguo Yi Liao Qi Xie Za Zhi ; 45(2): 125-130, 2021 Apr 08.
Article en Zh | MEDLINE | ID: mdl-33825368
Aiming at the current situation of high cost, huge volume, complex operation and difficulty in real application of pulse analyzer, this study designs and implements a portable pulse detection system based on IoT. The design utilizes Raspberry Pi 3B+, STM32 series MCU and cloud server to collect, store, display and recognize pulse signals at CUN, GUAN and CHI. The system is small in size and low in cost, which can be connected with cloud server through network to make full use of resources. The experimental results show that the recognition accuracy of the main feature points of the pulse signal by the portable pulse analyzer is higher than 97%, which has a broad prospect of development and application.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Computadores Tipo de estudio: Diagnostic_studies Idioma: Zh Revista: Zhongguo Yi Liao Qi Xie Za Zhi Año: 2021 Tipo del documento: Article Pais de publicación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Computadores Tipo de estudio: Diagnostic_studies Idioma: Zh Revista: Zhongguo Yi Liao Qi Xie Za Zhi Año: 2021 Tipo del documento: Article Pais de publicación: China