Robo MD: sensor is chosen

12 November 2010

In the past months the Robo MD team worked out several methods for sensoring. The now chosen sensor can measure single lead ECG, heart rate, motion via 3 axes accelerometer and skin surface temperature. 

One of the main goals of the Robo M.D. project is monitoring elderly people at home and detecting critical situations during their daily life as well as worsening of the general condition. For continuously monitoring elderly people a non - obtrusive sensor has to be used. In the past months the Robo MD team worked out several methods for sensoring. The now chosen sensor can measure single lead ECG, heart rate, motion via 3 axes accelerometer and skin surface temperature.  The acceleration signal will be used to detect falls of the monitored people. As represented in the picture below, normally a fall is characterized by an increased change in the amplitude of the acceleration signal.  The ECG signal will for instance be used to detect arrhythmias. Monitoring these signals and application of patient-specific detection algorithms allows to react to critical situations immediately by sending a robot to the person in the case of an emergency. The robot can further analyze the situation by asking specific questions, visual screening of the surroundings and directly prompt a medical team to make actions. Furthermore investigation will be done to use the ECG signal to detect breathing activity, which can be used for sleep apnea detection.

 


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