Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lin, Shih-Kai | en_US |
dc.contributor.author | Istiqomah | en_US |
dc.contributor.author | Wang, Li-Chun | en_US |
dc.contributor.author | Lin, Chin-Yew | en_US |
dc.contributor.author | Chiueh, Herming | en_US |
dc.date.accessioned | 2019-04-02T06:00:25Z | - |
dc.date.available | 2019-04-02T06:00:25Z | - |
dc.date.issued | 2018-01-01 | en_US |
dc.identifier.issn | 2168-2372 | en_US |
dc.identifier.uri | http://dx.doi.org/10.1109/JTEHM.2018.2861882 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/148205 | - |
dc.description.abstract | In this paper, the design of a smart headband for epileptic seizure detection is presented. The proposed headband consists of four key components: 1) an analog front-end circuitry; 2) an epileptic seizure detection tag (ESDT); 3) a Bluetooth low-power chip; and 4) customized electrodes. All the above components are integrated into a fabric headband with only 50.3 g. The smart headband system dissipates 55.89 mW. The epileptic seizure detection algorithm inside ESDT is validated by using Boston Children's Hospital's CHB-MIT scalp EEG clinical database with the detection rate of 92.68% and the false alarm of 0.527/h. We develop a service APP connected to the cloud so that the patients' health condition can be recorded and then referenced by doctors for further diagnosis or research. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | Epileptic seizure detection | en_US |
dc.subject | wearable | en_US |
dc.subject | wireless transmission | en_US |
dc.subject | system-on-chip (SoC) | en_US |
dc.subject | Internet of Things (IoT) | en_US |
dc.title | An Ultra-Low Power Smart Headband for Real-Time Epileptic Seizure Detection | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1109/JTEHM.2018.2861882 | en_US |
dc.identifier.journal | IEEE JOURNAL OF TRANSLATIONAL ENGINEERING IN HEALTH AND MEDICINE-JTEHM | en_US |
dc.citation.volume | 6 | en_US |
dc.contributor.department | 電機工程學系 | zh_TW |
dc.contributor.department | Department of Electrical and Computer Engineering | en_US |
dc.identifier.wosnumber | WOS:000445352900001 | en_US |
dc.citation.woscount | 0 | en_US |
Appears in Collections: | Articles |
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