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Continuous Monitoring and Detection of Epileptic Seizures Using Wearable Device
DARSHAN MEHTA, Mehta D, TANAY DESHMUKH, Deshmukh T, , , Sundaresan Y.B,
Published in Springer Singapore
Volume: 851
Pages: 77 - 84
Epilepsy is a serious, potentially fatal neurological disorder which often requires the immediate attention of a caregiver. Common symptoms of epileptic seizures include sudden fluctuations in heart rate and involuntary muscular contractions (seizures). They can also be accompanied by nausea, dizziness, etc. The sudden onset of a seizure during driving may lead to accidents and its occurrence during sleeping hours could prove fatal if no immediate, proper attention is provided by a caregiver or a doctor. Since the onset of seizures is sudden and its consequences can be severe, it is risky to leave the patient alone. We propose a wireless electronic monitoring system that can accurately predict the onset of seizures a few minutes in advance. We will measure two critical health indicators—brain and cardiac bio-potential signal in the form of EEG and ECG using body sensor networks. The system will utilize a wearable device that detects the symptoms and transmits a coded signal to produce control signals for switching on an alarm device, alerting a doctor or caregiver’s mobile phone using wireless communication with help of GSM modem. A GPS module is used to trace out the exact location of the patient. We will use machine learning to classify whether the sensors indicate an onset of a seizure or not. With this system, we hope to improve the patient’s quality of life and give them dignity. © 2019, Springer Nature Singapore Pte Ltd.
About the journal
JournalData powered by TypesetSmart Innovations in Communication and Computational Sciences Advances in Intelligent Systems and Computing
PublisherData powered by TypesetSpringer Singapore
Open Access0