Ezzel az azonosítóval hivatkozhat erre a dokumentumra forrásmegjelölésben vagy hiperhivatkozás esetén:
http://elartu.tntu.edu.ua/handle/lib/50398Összes dokumentumadat
| DC mező | Érték | Nyelv |
|---|---|---|
| dc.contributor.author | Khvostivskyy, Mykola | - |
| dc.contributor.author | Biloshytska, Khrystyna | - |
| dc.date.accessioned | 2025-12-12T18:32:03Z | - |
| dc.date.available | 2025-12-12T18:32:03Z | - |
| dc.date.issued | 2025-10-13 | - |
| dc.identifier.citation | Khvostivskyy M., Biloshytska K. Automated detection of parkinsonian-type tremor based on EMG signal processing. Collection of Scientific Papers with the Proceedings of the 5th International Scientific and Practical Conference «Modern Perspectives on Global Scientific Solutions» (October 13-15, 2025, Bergen, Norway). European Open Science Space, 2025. P.292-296. ISBN 979-8-89704-959-2. DOI: 10.70286/EOSS-13.10.2025. | uk_UA |
| dc.identifier.isbn | 979-8-89704-959-2 (series) | - |
| dc.identifier.uri | http://elartu.tntu.edu.ua/handle/lib/50398 | - |
| dc.format.extent | 292-296 | - |
| dc.title | Automated detection of parkinsonian-type tremor based on EMG signal processing | uk_UA |
| dc.type | Conference Abstract | uk_UA |
| dc.rights.holder | © Khvostivskyy M., Biloshytska K. | uk_UA |
| dc.coverage.placename | Bergen, Norway | uk_UA |
| dc.relation.references | 1. Marino S., et al. Quantitative assessment of Parkinsonian tremor by using surface electromyography. Medicine (Baltimore). 2019. Vol. 98, Issue 50. e18310. DOI: https://doi.org/10.1097/MD.0000000000018310. | uk_UA |
| dc.relation.references | 2. Deuschl G., et al. The clinical and electrophysiological investigation of tremor. Parkinsonism Relat. Disord. 2022. Vol. 97. P. 1-7. DOI: https://doi.org/10.1016/j.parkreldis.2022.01.003. | uk_UA |
| dc.relation.references | 3. Chen K. H. S., et al. Principles of electrophysiological assessments for Parkinson's disease tremor. J. Mov. Disord. 2020. Vol. 13, Issue 1. P. 1-9. DOI: https://doi.org/10.14802/jmd.19056. | uk_UA |
| dc.relation.references | 4. Lanzani V., et al. A methodological scoping review on EMG processing and analysis techniques for Parkinson's disease tremor. Front. Bioeng. Biotechnol. 2024. Vol. 12. Article 1445447. DOI: https://doi.org/10.3389/fbioe.2024.1445447. | uk_UA |
| dc.relation.references | 5. Vescio B., et al. Wearable devices for assessment of tremor in Parkinson's disease. Front. Neurol. 2021. Vol. 12. Article 680011. DOI: https://doi.org/10.3389/fneur.2021.680011. | uk_UA |
| dc.relation.references | 6. Su D., et al. Projections for prevalence of Parkinson's disease and its impact on global health. BMJ. 2025. Vol. 388. Article e080952. DOI: https://doi.org/10.1136/bmj-2024-080952. | uk_UA |
| dc.relation.references | 7. Li Y., et al. A systematic analysis for the global burden of disease study 2021: Parkinson's disease. Lancet Neurol. — 2025. — Vol. 24, Issue 5. — P. 398–408. — DOI: https://doi.org/10.1016/S1474-4422(24)00338-3. | uk_UA |
| dc.relation.references | 8. Khvostivskyi M., Doskoch D. Method and Software for Processing Electromyosignals for Diagnosing the Musculoskeletal System. ІІI International scientific and practical conference «Collective Thinking: Unifying Scientific Approaches in Multifaceted Research» (November 29 – December 01, 2023). Amsterdam, Netherlands, International Science Unity. 2023. P.384-387. | uk_UA |
| dc.relation.references | 9. Хвостівська Л.В., Хвостівський М.О. Синтез структури інформаційної системи реєстрації та обробки пульсового сигналу. Науковий вісник Чернівецького університету: збірник наук. праць. Фізика. Електроніка. – Т. 4, Вип. 1. Чернівці: Чернівецький національний університет, 2015. С. 83-89. – ISSN 2227-8842. | uk_UA |
| Ebben a gyűjteményben: | Наукові публікації працівників кафедри біотехнічних систем | |
Fájlok a dokumentumban:
| Fájl | Leírás | Méret | Formátum | |
|---|---|---|---|---|
| Khvostivskyy M., Biloshytska K. Automated detection of parkinsonian-type tremor based on EMG signal processing.pdf | Khvostivskyy M., Biloshytska K. Automated detection of parkinsonian-type tremor based on EMG signal processing | 1,06 MB | Adobe PDF | Megtekintés/Megnyitás |
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