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Increased driver stress is generally recognized as one of the major factors leading to road accidents and loss of life. Even though physiological signals are reported as the most reliable means to measure driver stresses, they often require the use of unique and expensive sensors, which produce dynamic and varying readings within individuals. This paper presents a novel means to predict a driver’s...
Falling is one of the most serious medical and social problems in aging population. Therefore taking care of the elderly by detecting activity and falling for preventing and mitigating the injuries caused by falls needs to be concerned. This study proposes a wearable, wireless, battery free ultra-high frequency (UHF) smart sensor tag module for falling and activity detection. The proposed tag is powered...
An ambulatory pulse oximeter system based on wireless sensor network is designed and integrated to the wearable sensor node. The system is developed to measure motion activities using pulse oximeter and triaxial accelerometer sensor during in motion. The input signals are pulse oximeter and triaxial acceleration signals which are acquired from a finger. However, motion artifact is originated a result...
This work presents, the classification of user activities such as Rest, Walk and Run, on the basis of frequency component present in the acceleration data in a wireless sensor network environment. As the frequencies of the above mentioned activities differ slightly for different person, so it gives a more accurate result. The algorithm uses just one parameter i.e. the frequency of the body acceleration...
ECG (electrocardiogram) is a test that measure electrical activity of heart. ECG is acquired from sensor situated on USN (ubiquitous sensor network) node. The measured ECG contains noise and motion artifact that need to be removed for proper diagnosis. Motion artifact is important noise to reduce because its frequency spectrum is overlap to ECG signal and causes misinterpretation while diagnosis....
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...
An ECG and tri-axial accelerometer signal monitoring and analysis method for the homecare of elderly persons or patients, using wireless sensors technology was design and implemented. This paper presents a prototype of wellness monitoring system capable of recording, and analyzing continuous ECG and accelerometer data received from the human body. The system provides an application for recording activities,...
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