2018
DOI: 10.18280/ama_b.610405
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A remote epileptic patient supervising system

Abstract: A Remote Epileptic Patient Monitoring (REPM) system is presented to sense epileptic seizure of a patient and to protect the patient' fall down. With the aid of telecommunication techniques, the system is capable enough to provide health care in remote places. Physiological sensors and Zigbee transceiver are the heart of the system to recognize patient's epileptic seizure. The epileptic seizure patients are supported by the system even in acute cases. The brilliant epilepsy recognition can be achieved by select… Show more

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Cited by 2 publications
(2 citation statements)
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“…Jørgensen [15] formulates the basic requirements for technical systems of precision farming within the concept of "Industry 4.0" and "Agriculture 4.0", which allows synthesizing a number of requirements for infocommunication provision of contemporary systems for monitoring and control of technological processes of growing crops. The scientific and practical aspects of development, testing and implementation of computerized wireless monitoring systems based on serial hardware and software components are presented [16,17].…”
Section: Bibliographic Review Critical Analysis and Logical Generaliz...mentioning
confidence: 99%
“…Jørgensen [15] formulates the basic requirements for technical systems of precision farming within the concept of "Industry 4.0" and "Agriculture 4.0", which allows synthesizing a number of requirements for infocommunication provision of contemporary systems for monitoring and control of technological processes of growing crops. The scientific and practical aspects of development, testing and implementation of computerized wireless monitoring systems based on serial hardware and software components are presented [16,17].…”
Section: Bibliographic Review Critical Analysis and Logical Generaliz...mentioning
confidence: 99%
“…Using sensors in clothing opens up new possibilities in fitness and health tracking and activity recognition. Typically, machine learning Algorithms are used to interpret sensors measurements to track and monitor various body positions, such as the independent monitoring of humans for applications including assisted living [11], rehabilitation, and monitoring [12], and health monitoring systems [13][14][15], especially during COVID_19 [16], remote epileptic patient supervising system [17], sports applications [18], wheelchair movement control [19], detect information about crime locations [20], monitoring oil [21], and detection of human movements [22].…”
Section: Introductionmentioning
confidence: 99%