{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Varghese J"],"funding":["Innovative Medical Research Fund (Innovative Medizinische Forschung), University of Münster"],"pagination":["3139"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8124167"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["21(9)"],"pubmed_abstract":["Smartwatches provide technology-based assessments in Parkinson's Disease (PD). It is necessary to evaluate their reliability and accuracy in order to include those devices in an assessment. We present unique results for sensor validation and disease classification via machine learning (ML). A comparison setup was designed with two different series of Apple smartwatches, one Nanometrics seismometer and a high-precision shaker to measure tremor-like amplitudes and frequencies. Clinical smartwatch measurements were acquired from a prospective study including 450 participants with PD, differential diagnoses (DD) and healthy participants. All participants wore two smartwatches throughout a 15-min examination. Symptoms and medical history were captured on the paired smartphone. The amplitude err"],"journal":["Sensors (Basel, Switzerland)"],"pubmed_title":["Sensor Validation and Diagnostic Potential of Smartwatches in Movement Disorders."],"pmcid":["PMC8124167"],"funding_grant_id":["I-VA111809"],"pubmed_authors":["Fujarski M","Alen CMV","Thomas C","Varghese J","Warnecke T","Sucker J","Schlake GS"],"additional_accession":[]},"is_claimable":false,"name":"Sensor Validation and Diagnostic Potential of Smartwatches in Movement Disorders.","description":"Smartwatches provide technology-based assessments in Parkinson's Disease (PD). It is necessary to evaluate their reliability and accuracy in order to include those devices in an assessment. We present unique results for sensor validation and disease classification via machine learning (ML). A comparison setup was designed with two different series of Apple smartwatches, one Nanometrics seismometer and a high-precision shaker to measure tremor-like amplitudes and frequencies. Clinical smartwatch measurements were acquired from a prospective study including 450 participants with PD, differential diagnoses (DD) and healthy participants. All participants wore two smartwatches throughout a 15-min examination. Symptoms and medical history were captured on the paired smartphone. The amplitude err","dates":{"release":"2021-01-01T00:00:00Z","publication":"2021 Apr","modification":"2026-04-30T03:14:35.993Z","creation":"2022-02-10T10:44:28.446Z"},"accession":"S-EPMC8124167","cross_references":{"pubmed":["33946494"],"doi":["10.3390/s21093139"]}}