Autoencoder based data clustering for identifying anomalous repetitive hand movements, and behavioral transition patterns in children.
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| Title: | Autoencoder based data clustering for identifying anomalous repetitive hand movements, and behavioral transition patterns in children. |
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| Authors: | Wedasingha N; Faculty of Engineering, Sri Lanka Institute of Information Technology, New Kandy Rd, Malabe, Colombo, 10115, Sri Lanka. nushara.w@sliit.lk., Samarasinghe P; Faculty of Computing, Sri Lanka Institute of Information Technology, New Kandy Rd, Malabe, Colombo, 10115, Sri Lanka., Senevirathna L; Faculty of Engineering, Sri Lanka Institute of Information Technology, New Kandy Rd, Malabe, Colombo, 10115, Sri Lanka., Papandrea M; Information Systems and Networking Institute (ISIN), University of Applied Sciences and Arts of Southern Switzerland, Via Pobiette, Manno, 6928, Manno, Switzerland., Puiatti A; Institute of Digital Technologies for Personalized Healthcare (MeDiTech), University of Applied Sciences and Arts of Southern Switzerland, Via Pobiette, Manno, 6928, Manno, Switzerland. |
| Source: | Physical and engineering sciences in medicine [Phys Eng Sci Med] 2025 Mar; Vol. 48 (1), pp. 221-238. Date of Electronic Publication: 2025 Jan 21. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Country of Publication: Switzerland NLM ID: 101760671 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2662-4737 (Electronic) Linking ISSN: 26624729 NLM ISO Abbreviation: Phys Eng Sci Med Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2662-4737 |
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| DOI: | 10.1007/s13246-024-01507-9 |
