Literature DB >> 17280990

Detecting seizure onset in the ambulatory setting: demonstrating feasibility.

Ali Shoeb1, John Guttag, Steven Schachter, Donald Schomer, Blaise Bourgeois, S Ted Treves.   

Abstract

Ambulatory EEG recorders are commercially available. The majority of these recorders are only capable of capturing and storing EEG for later review by clinicians. A few models are equipped with real-time seizure event detectors, but these detectors make no guarantees on when during a seizure a detection is made. This renders current ambulatory EEG recorders unsuitable for activating alarms or initiating therapies to acutely impact seizure progression in the ambulatory setting. Integrating seizure onset detectors into existing ambulatory recorders will make these applications feasible. Successful integration requires that these detectors be executable on the resource-limited digital signal processors found within ambulatory recorders. In this paper we describe the integration of a patient-specific seizure onset detector with a commercially available ambulatory EEG recorder, and demonstrate how such integration could enable the detection of seizure onset in the ambulatory setting.

Entities:  

Year:  2005        PMID: 17280990     DOI: 10.1109/IEMBS.2005.1617245

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  3 in total

1.  Patient-specific early seizure detection from scalp electroencephalogram.

Authors:  Georgiy R Minasyan; John B Chatten; Martha J Chatten; Richard N Harner
Journal:  J Clin Neurophysiol       Date:  2010-06       Impact factor: 2.177

2.  Motion Artifacts Correction from Single-Channel EEG and fNIRS Signals Using Novel Wavelet Packet Decomposition in Combination with Canonical Correlation Analysis.

Authors:  Md Shafayet Hossain; Muhammad E H Chowdhury; Mamun Bin Ibne Reaz; Sawal Hamid Md Ali; Ahmad Ashrif A Bakar; Serkan Kiranyaz; Amith Khandakar; Mohammed Alhatou; Rumana Habib; Muhammad Maqsud Hossain
Journal:  Sensors (Basel)       Date:  2022-04-21       Impact factor: 3.847

3.  Non-invasive computerized system for automatically initiating vagus nerve stimulation following patient-specific detection of seizures or epileptiform discharges.

Authors:  Ali Shoeb; Trudy Pang; John Guttag; Steven Schachter
Journal:  Int J Neural Syst       Date:  2009-06       Impact factor: 5.866

  3 in total

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