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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Gangadhar, B.N. Dutt, D.N. Janakiramaiah, N. Sadasivan, P.K. |
| Copyright Year | 1995 |
| Description | Author affiliation: Dept. of Psychiatry, NIMHANS, Bangalore, India (Gangadhar, B.N.) |
| Abstract | Obtaining seizure of an adequate length is essential during electroconvulsive therapy (ECT). Here, the authors describe an automated procedure of estimating the seizure duration using running fractal dimension. Fractal dimension (FD) or EEG records from 20 patients (14 males, age range 15-45 yrs) receiving ECT was calculated. The lowest FD values occurred in the post-seizure phase. Running fractal dimension on epochs of 4 seconds length each with 75% overlap was also computed. A computer algorithm was developed to detect the EEG epoch with lowest FD and the seizure duration was estimated thereof. Seizure duration estimates from automated method (mean, SD=67.95, 31.7 secs) agreed significantly (intraclass correlation, 'r'=0.9, p<0.01) with those of clinical rating of analog EEG records (mean, SD=69.15, 32.2 secs). |
| File Size | 278070 |
| File Format | |
| ISBN | 078032711X |
| DOI | 10.1109/RCEMBS.1995.532965 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1995-02-15 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Automation Electrical capacitance tomography Fractals Electroencephalography Medical treatment Shape Psychiatry Monitoring Guidelines Measurement standards |
| Content Type | Text |
| Resource Type | Article |
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