Browsing by Author "Lin, Chin-Yew"

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A Smart Headband for Epileptic Seizure Detection
(2017-01-01)
Lin, Shih-Kai
;
Lin, Yu-Shan
;
Lin, Chin-Yew
;
Chiueh, Herming
;
電機工程學系
Epilepsy is a common neural disorder disease; about 1.7% of the global population has epilepsy. Most patients take antiepileptic drugs to reduce their seizures. Among them, nearly one-third of the patients are drug-resistant epilepsy. The alternative treatment is the resection surgery of removing the epileptogenic zone. However, all above patients will still have some seizures, which will influence the patients' quality-of-life, and further introduce danger and inconvenience to patients and people around. This paper presents the design and develop of the smart headband for epileptic seizure detection. The headband consists of a textile headband with flexible print circuit (FPC) inside, and fabric electrodes on it. The whole system includes the following circuits: an analog front-end circuitry for electroencephalography (EEG) record, an epileptic seizure detection System-on-Chip (SoC), and a Bluetooth Low Energy (BLE) Chip. The result of designed circuits yields a compact and low-power design of smart headband for epileptic seizure detection which is suitable for wearable usage.
An Ultra-Low Power Smart Headband for Real-Time Epileptic Seizure Detection
(2018-01-01)
Lin, Shih-Kai
;
Istiqomah
;
Wang, Li-Chun
;
Lin, Chin-Yew
;
Chiueh, Herming
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.
Design and Implementation of a Smart Headband for Epileptic Seizure Detection and Its Verification Using Clinical Database
(2018-01-01)
Lin, Shih-kai
;
Qomah, Isti
;
Lin, Yu-shan
;
Chiueh, Herming
;
Lin, Chin-Yew
Epilepsy is a common neural disorder disease; about 0.5% of the global population has epilepsy [1]. Most patients take antiepileptic drugs to reduce their seizures. Among them, nearly one-third of the patients are drug-resistant epilepsy. The alternative treatment is the resection surgery of removing the epileptogenic zone. However, all above patients will still suffer seizures occasionally, which will influence the patients' quality-of-life, and further introduce danger and inconvenience to patients and people around. This paper presents the design and development of the smart headband for epileptic seizure detection. The headband consists of a fabric headband with flexible print circuit (FPC) inside and fabric electrodes on it. The whole system includes the following circuits: an analog front-end circuitry, an epileptic seizure detection tag (ESDT), and a Bluetooth Low Power (BLE) chip. The result of designed circuits yields a compact and low-power design of smart headband for epileptic seizure detection which is suitable for wearable usage. The epileptic seizure detection algorithm is validated by Children's Hospital Boston-MIT (CHB-MIT) EEG database [2].