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During hypnotherapy sessions, neurologists rely on the patient\u2019s relaxed state to introduce positive suggestions. While EEG is a widely recognized method for detecting human emotions, analyzing EEG data presents challenges due to its multi-channel, multi-band nature, leading to high-dimensional data. Furthermore, determining the onset of relaxation remains challenging for neurologists. This paper presents the Effective Relax Acquisition (ERA) method designed to identify the beginning of a relaxed state. ERA employs sub-band sampling within the Alpha band for the frequency domain and segments the data into four-period groups for the time domain analysis. Data enhancement strategies include using Window Length (WL) and Overlapping Shifting Windows (OSW) scenarios. Dimensionality reduction is achieved through Principal Component Analysis (PCA) by prioritizing the most significant eigenvector values. Our experimental results indicate that the relaxed state is predominantly observable in the high Alpha sub-band, particularly within the fourth period group. The ERA demonstrates high accuracy with a WL of 3\u00a0s and OSW of 0.25 s using the KNN classifier (90.63%). These findings validate the effectiveness of ERA in accurately identifying relaxed states while managing the complexity of EEG data.<\/jats:p>\n                <jats:p><jats:bold>Graphical abstract<\/jats:bold><\/jats:p>","DOI":"10.1186\/s40708-024-00225-y","type":"journal-article","created":{"date-parts":[[2024,5,13]],"date-time":"2024-05-13T17:02:00Z","timestamp":1715619720000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Effective relax acquisition: a novel approach to classify relaxed state in alpha band EEG-based transformation"],"prefix":"10.1186","volume":"11","author":[{"given":"Diah","family":"Risqiwati","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Adhi Dharma","family":"Wibawa","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Evi Septiana","family":"Pane","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eko Mulyanto","family":"Yuniarno","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wardah Rahmatul","family":"Islamiyah","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mauridhi Hery","family":"Purnomo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,5,13]]},"reference":[{"key":"225_CR1","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1007\/s41105-018-00203-y","volume":"17","author":"DR Marques","year":"2019","unstructured":"Marques DR (2019) Time to relax considerations on relaxation training for insomnia disorder. 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