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Autonomous sensor networks that provide patient monitoring are growing in popularity due to the prospects of lower cost, and the ease of supervision by the physician. Physiological signals monitoring could result in large volume of data being either transmitted or stored which can then be directly related with the energy consumption for the system. This paper presents an EEG compression scheme that...
We present a novel method for monitoring sympathetic nervous system activity during epileptic seizures using a wearable sensor measuring electrodermal activity (EDA). The wearable sensor enables long-term, continuous EDA recordings from patients. Preliminary results from our pilot study suggest that epileptic seizures induce a surge in EDA. These changes are greater in generalized tonic-clonic seizures...
Early recognition and aggressive management of seizure activity is important in the treatment of patients with nerve agent exposure. However, these patients can experience non-convulsive seizures that are difficult to identify without EEG monitoring. In this paper, we discuss the development and testing of a low-cost, field-deployable device that records and displays patient EEG trends over time....
Epileptic seizures usually consist of stereotyped motor movements in association with characteristic changes in the electroencephalogram (EEG). Accurate recognition and quantification of seizures in patients with epilepsy is essential for diagnosis, selection of treatment and assessing the effects of therapy. In this paper, we present some preliminary results from our on-going research study on using...
Portable EEG units are key tools in epilepsy diagnosis. Current systems could be made physically smaller and longer lasting by the inclusion of online data reduction methods to reduce the power required for storage or transmission of the EEG data. This paper presents a real-time data reduction algorithm based upon the discontinuous recording of the EEG: noninteresting background sections of EEG are...
This work is concerned with the development of a special equipment to monitor the brain waves of the patients even when he is under mobility in his locality and transmit them to the hospital or any monitoring station and record the electroencephalogram (EEG) of those patients and to diagnose the presence of epileptic seizures if any with an intelligent software and to store these details which may...
The overlay of a neural interface upon a TinyOS-based sensing and communication platform is described. The system amplifies, digitally encodes, and transmits two EEG channels of neural signals from an un-tethered subject to a remote gateway, which routes the signals to a client PC. This work demonstrates the viability of the TinyOS-based sensor technology as a foundation for chronic remote biological...
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