Emergency situations can occur anywhere and anytime in daily life. In the paper, we present an e-health system to perceive emergency situations of a patient. Using a wearable shirt (BioShirt) and a personal monitoring system (PBM), we obtain the body signals of a user. The monitoring system collects and transmits the vital signs to a personal digital assistant (PDA) via a BlueTooth communication module. To detect emergency from the received data, a simple detection algorithm is performed in the PDA. And the PDA forwards the data to an e-health central monitoring room (ECMR), if necessary. In the ECMR, several operators supervise the registered users based on incoming body signals from each user's device. If an automatic decision-making algorithm generates an emergency alarm, the operators try to contact the corresponding patient and recognize his status. Ultimately if they decide that the patient is an urgent situation, they give phone calls and messages to the emergency center and the patient's medical attendant immediately.
AIn this study, we developed a wearable physiological measurement device (bioshirt). The developed bioshirt can record ECG (lead I, lead II, V1), blood oxygen saturation, 2-axis acceleration, and skin temperature in mobile environment. Sensors are embedded into the bioshirt. It showed noticeable performance in terms of usability and monitoring. Respiration signal is acquired by inductive plethysmograph (IP). However, acquired IP signal is by the upper body movement like arm or abdomen movement. To get correct respiratory signal, we use both IP and EDR (ECG-derived respiration). EDR is used to supplement the IP that is contaminated by some artifact. As result, it provide suitable respiration rate (RR) although IP is contaminated by some noise.
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