Deep Learning for Abnormal Movement Detection using Wearable Sensors: Case Studies on Stereotypical Motor Movements in Autism and Freezing of Gait in Parkinson's Disease

Mohammadian Rad, N.

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S.l. : s.n.

Deep Learning for Abnormal Movement Detection using Wearable Sensors: Case Studies on Stereotypical Motor Movements in Autism and Freezing of Gait in Parkinson's Disease

dc:creator Mohammadian Rad, N.

dc:date2019

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Grantor dc:publisher: S.l. : s.n.
Year dc:date: 2019

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Author dc:creator: Mohammadian Rad, N.
Contributors dc:contributor: Furlanello, C.
Marchiori, E.
Laarhoven, T. van

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Data Science

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Handle dc:identifier: https://hdl.handle.net/2066/214636
OAI identifier oai:identifier: oai:repository.ubn.ru.nl:2066/214636

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Harvested from: Radboud University Nijmegen
Base URL: repository.ubn.ru.nl/oai/request
Last updated: 2026-07-24
Source record: OAI-PMH GetRecord

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citation

Mohammadian Rad, N.. Deep Learning for Abnormal Movement Detection using Wearable Sensors: Case Studies on Stereotypical Motor Movements in Autism and Freezing of Gait in Parkinson's Disease. S.l. : s.n., 2019. https://hdl.handle.net/2066/214636

Deep Learning for Abnormal Movement Detection using Wearable Sensors: Case Studies on Stereotypical Motor Movements in Autism and Freezing of Gait in Parkinson's Disease

Abstract

Degree

Author and committee

Subjects

Identifiers

Chain of custody

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