The mPower study, Parkinson disease mobile data collected using ResearchKit

Bot, Brian M., Suver, Christine, Neto, Elias Chaibub, Kellen, Michael, Klein, Arno, Bare, Christopher, Doerr, Megan, Pratap, Abhishek +4 more·2016·Scientific Data
DOI 10.1038/sdata.2016.11

Cited by (630)

Items 201–300 of 630

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  4. Transformer-based transfer learning on self-reported voice recordings for Parkinson’s disease diagnosis
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  5. Clinically useful brain imaging for neuropsychiatry: How can we get there?
    Michael Peter Milham, Richard Cameron Craddock, Arno Klein · 2017 · Depression and Anxiety
  6. Limb and trunk accelerometer data collected with wearable sensors from subjects with Parkinson’s disease
    Gloria P. Vergara-Diaz, Jean‐François Daneault, Federico Parisi, Chen Admati, Christina Alfonso, Matilde Bertoli, Edoardo Bonizzoni, Gabriela Ferreira Carvalho, Gianluca Costante, Eric Eduardo Fabara et al. · 2021 · Scientific Data
  7. State of the art of mobile health technologies use in clinical arrhythmia care
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  8. A Methodological and Structural Review of Parkinson’s Disease Detection Across Diverse Data Modalities
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  9. Publishing descriptions of non-public clinical datasets: proposed guidance for researchers, repositories, editors and funding organisations
    Iain Hrynaszkiewicz, Varsha Khodiyar, Andrew L. Hufton, Susanna‐Assunta Sansone · 2016 · Research Integrity and Peer Review
  10. The Future of Clinical Trial Design: The Transition from Hard Endpoints to Value-Based Endpoints
    Matthijs D. Kruizinga, Frederik E. Stuurman, Geert Jan Groeneveld, Adam F. Cohen · 2019 · Handbook of experimental pharmacology
  11. StudyU: A Platform for Designing and Conducting Innovative Digital N-of-1 Trials
    Stefan Konigorski, Sarah Wernicke, Tamara Slosarek, Alexander M. Zenner, Nils Strelow, Darius Ferenc Ruether, Florian Henschel, Manisha Manaswini, Fabian Pottbäcker, Jonathan Antonio Edelman et al. · 2022 · Journal of Medical Internet Research
  12. Enhanced Parkinson’s Disease Tremor Severity Classification by Combining Signal Processing with Resampling Techniques
    Ghayth AlMahadin, Ahmad Lotfi, Marie Mc Carthy, Philip Breedon · 2021 · SN Computer Science
  13. PAMS: A new position-aware multi-sensor dataset for human activity recognition using smartphones
    Pegah Esfahani, Hadi Tabatabaee Malazi · 2017 · CSI International Symposium on Computer Architecture and Digital Systems (CADS)
  14. mHealth and Application Technology Supporting Clinical Trials: Today’s Limitations and Future Perspective of smartRCTs
    Vogel, Marco M. E., Combs, Stephanie E., Kessel, Kerstin A. · 2017 · Frontiers in Oncology
  15. Is It Possible to Conduct a Multi-Arm Multi-Stage Platform Trial in Parkinson’s Disease: Lessons Learned from Other Neurodegenerative Disorders and Cancer
    Marie‐Louise Zeissler, Vivien Li, Mahesh Parmar, Camille Carroll · 2020 · Journal of Parkinson s Disease
  16. MonParLoc: A Speech-Based System for Parkinson’s Disease Analysis and Monitoring
    Daniel Palacios Alonso, Guillermo Meléndez-Morales, Agustín López-Arribas, Carlos Lázaro-Carrascosa, Andrés Gómez-Rodellar, Pedro Gómez‐Vilda · 2020 · IEEE Access
  17. Developing Digital Tools for Remote Clinical Research: How to Evaluate the Validity and Practicality of Active Assessments in Field Settings
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  18. Detection of Parkinson’s Disease with Multiple Feature Extraction Models and Darknet CNN Classification
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  36. Data Science in Healthcare
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  38. Disrupting the power balance between doctors and patients in the digital era
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  40. Digital outcome measures from smartwatch data relate to non-motor features of Parkinson’s disease
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  41. Clustering Parkinson’s and Age-Related Voice Impairment Signal Features for Unsupervised Learning
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  42. Analysis of Smartphone Recordings in Time, Frequency, and Cepstral Domains to Classify Parkinson’s Disease
    Ilias Tougui, Abdelilah Jilbab, Jamal El Mhamdi · 2020 · Healthcare Informatics Research
  43. The Role of Large-Scale Data Infrastructure in Developing Next-Generation Deep Brain Stimulation Therapies
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  44. Exploiting Smartphone Voice Recording as a Digital Biomarker for Parkinson’s Disease Diagnosis
    Tongyue He, Junxin Chen, Xu Xu, Wei William Wang · 2024 · IEEE Transactions on Instrumentation and Measurement
  45. Early Detection of Parkinson’s Disease Using Deep NeuroEnhanceNet With Smartphone Walking Recordings
    Tongyue He, Junxin Chen, Xu Xu, Giancarlo Fortino, Wei William Wang · 2024 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
  46. Aging Well: Using Precision to Drive Down Costs and Increase Health Quality
    Rhoda Au, Marina Ritchie, Spencer Hardy, Ting Fang Alvin Ang, Honghuang Lin · 2019 · Advances in Geriatric Medicine and Research
  47. Smartphones for Remote Symptom Monitoring of Parkinson’s Disease
    Max A. Little · 2021 · Journal of Parkinson s Disease
  48. PdAssist: Objective and quantified symptom assessment of Parkinson's disease via smartphone
    Yiqiang Chen, Xiaodong Yang, Biao Chen, Chunyan Miao, Hanchao Yu · 2017 · IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
  49. A dataset of human decision-making in teamwork management
    Han Yu, Zhiqi Shen, Chunyan Miao, Cyril Leung, Yiqiang Chen, Simon Fauvel, Jun Lin, Lizhen Cui, Zhengxiang Pan, Qiang Yang · 2017 · Scientific Data
  50. Exploratory digital outcome measures of motor sign progression in Parkinson’s disease patients treated with prasinezumab
    Kirsten I. Taylor, Florian Lipsmeier, Marzia A. Scelsi, Ekaterina Volkova-Volkmar, Daria Rukina, Werner Popp, Stefan Lambrecht, Judith Anzures‐Cabrera, David M. Summers, Markus Abt et al. · 2025 · npj Digital Medicine
  51. Voice-Based Detection of Parkinson’s Disease Using Machine and Deep Learning Approaches: A Systematic Review
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  52. A Smartphone Application as an Exploratory Endpoint in a Phase 3 Parkinson’s Disease Clinical Trial: A Pilot Study
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  53. Smartphones for musculoskeletal research – hype or hope? Lessons from a decennium of mHealth studies
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  54. Auto-Gait
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  55. Machine learning for the diagnosis of Parkinson’s disease using speech analysis: a systematic review
    Chiron Bang, Nicholas Bogdanovic, Gali Deutsch, Oge Marques · 2023 · International Journal of Speech Technology
  56. Development of a Modular Research Platform to Create Medical Observational Studies for Mobile Devices
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  57. Parkinson’s Disease Classification of mPower Walking Activity Participants
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  58. Assessment of Health-Related Quality of Life between People with Parkinson’s Disease and Non-Parkinson’s: Using Data Drawn from the ‘100 for Parkinson’s’ Smartphone-Based Prospective Study
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  59. Accelerating Research With Technology: Rapid Recruitment for a Large-Scale Web-Based Sleep Study
    Sean Deering, Madeline M. Grade, Jaspreet Uppal, Luca Foschini, Jessie L. Juusola, Adam Amdur, Carl J. Stepnowsky · 2019 · JMIR Research Protocols
  60. Robust Feature Engineering for Parkinson Disease Diagnosis: New Machine Learning Techniques
    Max Wang, Wenbo Ge, Deborah Apthorp, Hanna Suominen · 2020 · JMIR Biomedical Engineering
  61. Continuous Monitoring of Patient Mobility for 18 Months Using Inertial Sensors following Traumatic Knee Injury: A Case Study
    Arne Mueller, Hölger Hoefling, Timur Nuritdinow, Nicholas Holway, Matthias Schieker, Martin Däumer, Ieuan Clay · 2018 · Digital Biomarkers
  62. New modes of engagement for big data research
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  64. Parkinson's disease and Covid-19: The effect and use of telemedicine
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