{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,2]],"date-time":"2026-02-02T16:34:19Z","timestamp":1770050059534,"version":"3.49.0"},"reference-count":38,"publisher":"Wiley","license":[{"start":{"date-parts":[[2023,12,12]],"date-time":"2023-12-12T00:00:00Z","timestamp":1702339200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100013010","name":"Universit\u00e9 Mohammed V de Rabat","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100013010","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100018970","name":"Universitas Telkom","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100018970","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Electrical and Computer Engineering"],"published-print":{"date-parts":[[2023,12,12]]},"abstract":"<jats:p>The electroencephalogram (EEG) examination provides information on the brain\u2019s electricity, especially in cases of epilepsy. Since the characteristics of EEG signals are nonlinear and nonstationary, visual inspection becomes very difficult. To overcome this problem, digital EEG signal processing was developed. Automatic epileptic EEG recognition is an area of interest on which much research focuses. The complexity approach to EEG signal analysis is interesting to be used as feature extraction, referring to the nonlinear characteristics of the signal. This study proposed an automatic epileptic EEG classification method based on the multiscale Hjorth descriptor measurement. EEG signals consisting of normal, interictal, and seizure (ictal) were simulated. The signal is scaled into new signals using the coarse-grained procedure on a scale of 1\u201320. Then, the Hjorth parameter which consists of activity, mobility, and complexity is calculated on the new signal. This process produces a feature vector that is used in the classification stage. Support vector machine (SVM) is used to evaluate the proposed feature extraction method. Simulation results showed that the Hjorth parameter on a scale of 1\u201315 yields 99.5% accuracy. The proposed method is expected to be applied to digital EEG for seizure detection and prediction.<\/jats:p>","DOI":"10.1155\/2023\/4961637","type":"journal-article","created":{"date-parts":[[2023,12,13]],"date-time":"2023-12-13T00:05:10Z","timestamp":1702425910000},"page":"1-11","source":"Crossref","is-referenced-by-count":5,"title":["Multiscale Hjorth Descriptor on Epileptic EEG Classification"],"prefix":"10.1155","volume":"2023","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9712-965X","authenticated-orcid":true,"given":"Achmad","family":"Rizal","sequence":"first","affiliation":[{"name":"School of Electrical Engineering, Telkom University, Bandung 40275, Indonesia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2086-2156","authenticated-orcid":true,"given":"Sugondo","family":"Hadiyoso","sequence":"additional","affiliation":[{"name":"School of Applied Science, Institute, Telkom University, Bandung 40275, Indonesia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0568-4424","authenticated-orcid":true,"given":"Suci","family":"Aulia","sequence":"additional","affiliation":[{"name":"School of Applied Science, Institute, Telkom University, Bandung 40275, Indonesia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1412-0428","authenticated-orcid":true,"given":"Inung","family":"Wijayanto","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, Telkom University, Bandung 40275, Indonesia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3179-8900","authenticated-orcid":true,"family":"Triwiyanto","sequence":"additional","affiliation":[{"name":"Department of Medical Electronics Technology, Poltekkes Kemenkes Surabaya, Surabaya 405016, Indonesia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9586-4511","authenticated-orcid":true,"given":"Ziani","family":"Said","sequence":"additional","affiliation":[{"name":"Department of Health Technologies Engineering, Mohammed V University, Agdal 10106, Morocco"}]}],"member":"311","reference":[{"key":"1","first-page":"9","article-title":"Multilevel wavelet packet entropy and support vector machine for epileptic EEG classification","author":"I. 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