Real-time vital signs monitoring and interpretation system for early detection of multiple physical signs in older adults

Advanced engineering, communication and information technologies combined with medical and clinical knowledge enable the possibility of remote, wireless, continuous physiological monitoring. These technologies facilitate the implementation of patient monitoring and diagnostic systems virtually anywhere: home, hospital and outdoors (on the move). Physiological parameters are considered as critical information to assess health condition and the type of possible illness of patients. In this work, vital signs are collected using wireless medical devices and fed to a computerised decision support system consist of a diagnostic model. The proposed vital signs monitoring system is able to help clinicians by illustrating the trace of critical physiological parameters, generating early warning/alerts and indicating any significant changes to the data. Moreover, it can assist patients to monitor their health status and communicate their concerns with the healthcare providers. The system was validated with different set of collected data from 20 hospitalised older adults and achieved an accuracy of 95.83%, sensitivity of 100%, specificity of 93.15%, and predictability of 90.38% in compare with a clinician assessment for tachycardia, hypertension, hypotension, hypoxemia and hypothermia.