ABSTRACT
Electrocardiogram (ECG) monitoring owns important clinical value in diagnosis, prevention and rehabilitation of cardiovascular disease (CVD). With the rapid development of Internet of Things (IoT), big data, cloud computing, artificial intelligence (AI) and other advanced technologies, wearable ECG is playing an increasingly important role. With the aging process of the population, it is more and more urgent to upgrade the diagnostic mode of CVD. Using AI technology to assist the clinical analysis of long-term ECGs, and thus to improve the ability of early detection and prediction of CVD has become an important direction. Intelligent wearable ECG monitoring needs the collaboration between edge and cloud computing. Meanwhile, the clarity of medical scene is conducive for the precise implementation of wearable ECG monitoring. This paper first summarized the progress of AI-related ECG studies and the current technical orientation. Then three cases were depicted to illustrate how the AI in wearable ECG cooperate with the clinic. Finally, we demonstrated the two core issues-the reliability and worth of AI-related ECG technology and prospected the future opportunities and challenges.
Subject(s)
Humans , Artificial Intelligence , Reproducibility of Results , Electrocardiography , Cardiovascular Diseases , Wearable Electronic DevicesABSTRACT
To analyze the associated factors of signing behavior of the smart medical service model in Hangzhou, 500 residents aged 18 years and older who signed the smart medical service and 500 unsigned residents were randomly selected from 5 urban districts of Hangzhou city from 19 to 26, July 2016. The social-demographic characteristics, chronic disease, health-seeking behavior, kinds of medical insurance were investigated by face-to-face interview. The results showed that there were significant differences in educational level, self-rated health status, chronic disease, seeking behavior and type of medical insurance, while there were no significant differences in gender and age between the signed group and the non-signed group. Logistic regression analysis revealed that residents with higher education level (OR=1.226, 95%CI: 1.118-1.344, P<0.01) and having more chronic diseases (OR=1.854, 95%CI: 1.524-2.257, P<0.01) preferred to sign the service contract. The main reasons for unwillingness of signing contract were " the service was not suitable for me" (17.0%, 61/359), "I didn′t know the specific content of the service" (16.7%,60/359), "the signing procedure was complicated" (15.0%, 54/359). In conclusion, different communication strategies should be adopted considering residents with different educational level and chronic diseases. And delivery of detailed information, simplification of signing process will promote to popularize this smart medical service.
ABSTRACT
To analyze the associated factors of signing behavior of the smart medical service model in Hangzhou,500 residents aged 18 years and older who signed the smart medical service and 500 unsigned residents were randomly selected from 5 urban districts of Hangzhou city from 19 to 26,July 2016.The social-demographic characteristics,chronic disease,health-seeking behavior,kinds of medical insurance were investigated by face-to-face interview.The results showed that there were significant differences in educational level,self-rated health status,chronic disease,seeking behavior and type of medical insurance,while there were no significant differences in gender and age between the signed group and the non-signed group.Logistic regression analysis revealed that residents with higher education level (OR=1.226,95％CI:1.118-1.344,P＜0.01) and having more chronic diseases (OR=1.854,95％CI:1.524-2.257,P＜0.01) preferred to sign the service contract.The main reasons for unwillingness of signing contract were"the service was not suitable for me"(17.0％,61/359),"I didn't know the specific content of the service"(16.7％,60/359),"the signing procedure was complicated"(15.0％,54/359).In conclusion,different communication strategies should be adopted considering residents with different educational level and chronic diseases.And delivery of detailed information,simplification of signing process will promote to popularize this smart medical service.