2013
DOI: 10.1007/978-3-642-37893-5_24
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Mobile Multi-parametric Sensor System for Diagnosis of Epilepsy and Brain Related Disorders

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Cited by 5 publications
(3 citation statements)
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“…As a result, the system will require less storage and more computing power. The data is wireless transmitted from the wearable devices to the remote node, which serves as a router in the deployed WSN and then delivers the data to the Mobile [17], [18] Cloud Computing Unit for processing. Since an epileptic patient cannot be kept in a small space within the room or clinic itself, this research effort presents a methodology for continuously monitoring an epileptic patient by including the idea of mobility using wireless communication systems.…”
Section: Literature Overviewmentioning
confidence: 99%
“…As a result, the system will require less storage and more computing power. The data is wireless transmitted from the wearable devices to the remote node, which serves as a router in the deployed WSN and then delivers the data to the Mobile [17], [18] Cloud Computing Unit for processing. Since an epileptic patient cannot be kept in a small space within the room or clinic itself, this research effort presents a methodology for continuously monitoring an epileptic patient by including the idea of mobility using wireless communication systems.…”
Section: Literature Overviewmentioning
confidence: 99%
“…Shu et al [24] presented a comprehensive review on physiological signalbased emotion recognition and conduct a summary and comparison of the recent studies. In recent years, the application on disease diagnosis based on multi-sensor fusion has also been emerging, such as epilepsy diagnosis [27], atrial hypertrophy disease diagnosis [28], and children's chronic illness monitoring [29]. In addition, there are rehabilitation applications including intelligent body posture analysis model [30], rehabilitation exoskeleton [31], end-of-arm force display system [32] and so on.…”
Section: A Bsns Applications Based On Information Fusionmentioning
confidence: 99%
“…Compared with a battlefield situation, we are more concerned with the physiology of a soldier, which is a neglected part of current military smart devices. Previous research on wearable technology mainly focuses on disease diagnosis [13,14], physical rehabilitation [15], and action recognition [16] in non-military fields. However, these techniques are not suitable for highly trained soldiers on the battlefield.…”
Section: Introductionmentioning
confidence: 99%