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Toward interpretable digital biomarkers of walking and reaching in Parkinson's disease.

Ryu J, Torres E.

Wearable Technol · 2022-09-09

DOI: 10.1017/wtc.2022.16PMID: 38486899

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A Parkinsonian Digital Biomarker Learned as an Anomaly Deep Generative Representation.

Rangel E, Martinez F.

Annu Int Conf IEEE Eng Med Biol Soc · 2022-07-01

DOI: 10.1109/embc48229.2022.9871974PMID: 36086261

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Heterogeneous digital biomarker integration out-performs patient self-reports in predicting Parkinson's disease.

Deng K, Li Y, Zhang H, Wang J, Albin RL, Guan Y.

Commun Biol · 2022-01-17

DOI: 10.1038/s42003-022-03002-xPMID: 35039601

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Evaluating the Use of Digital Biomarkers to Test Treatment Effects on Cognition and Movement in Patients with Lewy Body Dementia.

Wang J, Battioui C, McCarthy A, Dang X, Zhang H, Man A, Zou J, Kyle J, Munsie L, Pugh M, Biglan K.

J Parkinsons Dis · 2022-01-01

DOI: 10.3233/jpd-213126PMID: 35694933

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Predicting Fall Counts Using Wearable Sensors: A Novel Digital Biomarker for Parkinson's Disease.

Greene BR, Premoli I, McManus K, McGrath D, Caulfield B.

Sensors (Basel) · 2021-12-22

DOI: 10.3390/s22010054PMID: 35009599

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Exploring Test-Retest Reliability and Longitudinal Stability of Digital Biomarkers for Parkinson Disease in the m-Power Data Set: Cohort Study.

Sahandi Far M, Eickhoff SB, Goni M, Dukart J.

J Med Internet Res · 2021-09-13

DOI: 10.2196/26608PMID: 34515645

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Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge.

Sieberts SK, Schaff J, Duda M, Pataki BÁ, Sun M, Snyder P, Daneault JF, Parisi F, Costante G, Rubin U, Banda P, Chae Y, Chaibub Neto E, Dorsey ER, Aydın Z, Chen A, Elo LL, Espino C, Glaab E, Goan E, Golabchi FN, Görmez Y, Jaakkola MK, Jonnagaddala J, Klén R, Li D, McDaniel C, Perrin D, Perumal TM, Rad NM, Rainaldi E, Sapienza S, Schwab P, Shokhirev N, Venäläinen MS, Vergara-Diaz G, Zhang Y, Parkinson’s Disease Digital Biomarker Challenge Consortium, Wang Y, Guan Y, Brunner D, Bonato P, Mangravite LM, Omberg L.

NPJ Digit Med · 2021-03-19

DOI: 10.1038/s41746-021-00414-7PMID: 33742069

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Digital Progression Biomarkers as Novel Endpoints in Clinical Trials: A Multistakeholder Perspective.

Stephenson D, Badawy R, Mathur S, Tome M, Rochester L.

J Parkinsons Dis · 2021-01-01

DOI: 10.3233/jpd-202428PMID: 33579873

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Toward a Regulatory Qualification of Real-World Mobility Performance Biomarkers in Parkinson's Patients Using Digital Mobility Outcomes.

Viceconti M, Hernandez Penna S, Dartee W, Mazzà C, Caulfield B, Becker C, Maetzler W, Garcia-Aymerich J, Davico G, Rochester L.

Sensors (Basel) · 2020-10-20

DOI: 10.3390/s20205920PMID: 33092143

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Real-Life Gait Performance as a Digital Biomarker for Motor Fluctuations: The Parkinson@Home Validation Study.

Evers LJ, Raykov YP, Krijthe JH, Silva de Lima AL, Badawy R, Claes K, Heskes TM, Little MA, Meinders MJ, Bloem BR.

J Med Internet Res · 2020-10-09

DOI: 10.2196/19068PMID: 33034562

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Deep Learning Identifies Digital Biomarkers for Self-Reported Parkinson's Disease.

Zhang H, Deng K, Li H, Albin RL, Guan Y.

Patterns (N Y) · 2020-05-28

DOI: 10.1016/j.patter.2020.100042PMID: 32699844

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Digital Biomarkers of Mobility in Parkinson's Disease During Daily Living.

Shah VV, McNames J, Mancini M, Carlson-Kuhta P, Nutt JG, El-Gohary M, Lapidus JA, Horak FB, Curtze C.

J Parkinsons Dis · 2020-01-01

DOI: 10.3233/jpd-201914PMID: 32417795

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37 makale bulundu

Toward interpretable digital biomarkers of walking and reaching in Parkinson's disease.

A Parkinsonian Digital Biomarker Learned as an Anomaly Deep Generative Representation.

Heterogeneous digital biomarker integration out-performs patient self-reports in predicting Parkinson's disease.

Evaluating the Use of Digital Biomarkers to Test Treatment Effects on Cognition and Movement in Patients with Lewy Body Dementia.

Predicting Fall Counts Using Wearable Sensors: A Novel Digital Biomarker for Parkinson's Disease.

Exploring Test-Retest Reliability and Longitudinal Stability of Digital Biomarkers for Parkinson Disease in the m-Power Data Set: Cohort Study.

Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge.

Digital Progression Biomarkers as Novel Endpoints in Clinical Trials: A Multistakeholder Perspective.

Toward a Regulatory Qualification of Real-World Mobility Performance Biomarkers in Parkinson's Patients Using Digital Mobility Outcomes.

Real-Life Gait Performance as a Digital Biomarker for Motor Fluctuations: The Parkinson@Home Validation Study.

Deep Learning Identifies Digital Biomarkers for Self-Reported Parkinson's Disease.

Digital Biomarkers of Mobility in Parkinson's Disease During Daily Living.

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