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In this paper, we report on a proof-of-concept wearable prototype, called iSeiz, that can detect specific seizure activity, namely generalized tonic-clonic, in epilepsy patients. We first describe the high-level architecture of iSeiz, and then elaborate on its hardware and software features, including its robust and low-computational intensive real-time seizure detection algorithm (SDA), as well as...
Epilepsy is the disease of brain with more than 60 million (approx) cases worldwide. The cure for epilepsy is surgery and medication. Some patients are not cured with surgery and medicine. One third of the cases still remain with unrestrained epilepsy. There is an existing need of constant monitoring for epileptic seizures in this kind of cases. Treatment can be better provided by the doctors if seizure...
Monitoring of epileptic patients is usually done by video/EEG-monitoring which is considered as the golden standard. Due to some disadvantages of this method, this method is not feasible to use in long term home monitoring. Video monitoring provides a solution to this problem as it can monitor the patient in a non-contacting way. An algorithm is developed to detect movement epochs in nocturnal datasets...
Epilepsy is a neurological disorder, which sometimes cannot be successfully treated. We propose a real-time closed-loop monitoring and controlling device for epileptic seizure detection and suppression. This wireless-networked embedded device includes signal conditioning circuitry, a stimulator, and a microcontroller with a wireless transceiver. A TI CC2430 receives the conditioned EEG signals and...
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