Analysis of Telemonitoring Multi Vital Data for Alert Detection on Telecare System
Naoki Kobayashi, Satoki Homma · 2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech) · 2019
Telecare is an effective method for medical doctors to monitor conditions of elderly patients suffering from chronic diseases. It is crucial to detect acute diseases or the deterioration of chronic disease condition in such patients in order to prevent progression to fatal conditions. Therefore, we analyzed clinical telemonitoring data that were collected in a telecare trial. By using a principal component analysis of time sequences of multi vital data, it was observed that the possibility of the alert detection being detected more easily by using first or second principal component scores was higher than that only using vital data.