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The smart shirt which measures electrocardiogram (ECG) and acceleration signals for continuous and real time health monitoring is designed and developed. The shirt mainly consists of sensors for continuous monitoring the health data and conductive fabrics to get the body signal as electrodes. The measured physiological ECG data and physical activity data are transmitted in an ad-hoc network in IEEE...
This paper presents the designing of a neural network for the classification of Human activity. A Tri-axial accelerometer sensor, housed in a chest worn sensor unit, has been used for capturing the acceleration of the movements associated. All the three axis acceleration data were collected at a base station PC via a CC2420 2.4 GHz ISM band radio (zigbee wireless compliant), processed and classified...
With the advancement in the wireless sensor network technologies, it is possible to use them for health monitoring from remote location. The monitoring of human movement can provide valuable information about individual's daily activities. Wireless sensor node with 3-axes accelerometer were used to monitor daily activities i.e. walking, running, resting and dangerous activities such as falling. Three...
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