Literature DB >> 23198439

[Development of a wearable electrocardiogram monitor with recognition of physical activity scene].

Zihong Wang1, Baoming Wu, Jian Yin, Yushun Gong.   

Abstract

To overcome the problems of current electrocardiogram (ECG) tele-monitoring devices used for daily life, according to information fusion thought and by means of wearable technology, we developed a new type of wearable ECG monitor with the capability of physical activity recognition in this paper. The ECG monitor synchronously detected electrocardiogram signal and body acceleration signal, and recognized the scene information of physical activity, and finally determined the health status of the heart. With the advantages of accuracy for measurement, easy to use, comfort to wear, private feelings and long-term continuous in monitoring, this ECG monitor is quite fit for the heart-health monitoring in daily life.

Mesh:

Year:  2012        PMID: 23198439

Source DB:  PubMed          Journal:  Sheng Wu Yi Xue Gong Cheng Xue Za Zhi        ISSN: 1001-5515


  1 in total

1.  IGRNet: A Deep Learning Model for Non-Invasive, Real-Time Diagnosis of Prediabetes through Electrocardiograms.

Authors:  Liyang Wang; Yao Mu; Jing Zhao; Xiaoya Wang; Huilian Che
Journal:  Sensors (Basel)       Date:  2020-04-30       Impact factor: 3.576

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.