Development of a triage engine enabling behavior recognition and lethal arrhythmia detection for remote health care system.

For ubiquitous health care systems which continuously monitor a person's vital signs such as electrocardiogram (ECG), body surface temperature and three-dimensional (3D) acceleration by wireless, it is important to accurately detect the occurrence of an abnormal event in the data and immediately inform a medical doctor of its detail. In this paper, we introduce a remote health care system, which is composed of a wireless vital sensor, multiple receivers and a triage engine installed in a desktop personal computer (PC). The middleware installed in the receiver, which was developed in C++, supports reliable data handling of vital data to the ethernet port.

A receiver diversity technique for ensuring high reliability of wireless vital data gathering in hospital rooms.

Sensing and wireless technologies have made remarkable advance recently, so wireless vital sensors for medical use, which are light-weight but accurate, have been commercially available. However, because of the low reliability of the wireless data transmission, sensed vital data are often lost in the wireless channel and this is a fatal drawback of the devices for continuous monitoring of patients in hospitals. This paper investigates the effect of using multiple receivers (receiver diversity technique) on the improvement of data loss rate for wireless vital data gathering.

Clinical tests and evaluations of a wireless ECG sensor for realization of ubiquitous health care systems.

This paper introduces the concept of an online medical diagnosis system for ubiquitous health care using a wireless ECG sensor. To confirm the feasibility ofthe system, we conducted clinical tests by 67 subjects with a wireless ECG sensor and a Holter ECG monitor simultaneously for comparison purpose. We made five types of evaluations such as analyses on data loss rate, burst data loss length, ECG waveforms comparison, normalized cross-correlation and heart rate variability (HRV) by RR50.