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 501–600 of 630

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  6. A Review of the Literature on Automated Parkinson's Disease Diagnosis Methods Using Machine Learning
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  9. Creating the Next Digital Telemedicine Tool for Parkinson's Disease Management with AI
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  10. An adaptive multimodal fusion framework for smartphone-based medication adherence monitoring of Parkinson’s disease
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  11. MPD-MFF: A Multimodal Parkinson’s Disease Detection Method Based on Multi-feature Fusion
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  14. The use of new digital endpoints
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  15. Application of AI for Analysis of Parkinson’s Disease
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  18. Innovative Research Methods to Evaluate Effective Engagement with Consumer Mobile Health Applications for Chronic Conditions
    Quỳnh Phạm · 2019 · TSpace (University of Toronto)
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  20. Stable predictions for health related anticausal prediction tasks affected by selection biases: the need to deconfound the test set features
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  21. Reduced cancer risk from healthier lifestyle
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  22. Detección automática de síntomas motores asociados a la enfermedad de Parkinson mediante relojes y teléfonos móviles inteligentes aplicando técnicas de inteligencia artificial
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  23. Informatics to Support Learning Networks and Distributed Research Networks
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  24. Quantifying Parkinson's Disease Symptoms Using Mobile Devices
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  25. Harnessing the Data in Our Pockets
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  26. New statistical transfer learning models for health care applications
    Hyunsoo Yoon · 2018
  27. Detection of Parkinson's disease symptoms based on wearable sensors
    Andrej Petrushevski · 2019 · Repository of the University of Ljubljana (University of Ljubljana)
  28. Automatic psychomotor function quantification in Parkinson’s disease via natural interaction with digital devices
    Teresa Arroyo‐Gallego · 2020
  29. Smart Speakers, the Next Frontier in Computational Health
    Jacob E. Sunshine · 2021 · arXiv (Cornell University)
  30. Novel Semi-Supervised Learning Models to Balance Data Inclusivity and Usability in Healthcare Applications
    Nathan B. Gaw · 2019
  31. Association between non-motor symptoms and health-related quality of life for patients with Parkinson’s disease: Evidence from a smartphone-based survey
    Xiaojing Fan, Yaxin Zhao, Huanyuan Luo, Ben James, Duolao Wang, Bruce Hellman · 2020
  32. Cloudy with a chance of Pain
    David M. Schultz, Anna L. Beukenhorst, Belay Birlie Yimer, Louise Cook, Huai Leng Pisaniello, Thomas House, Carolyn Gamble, Jamie C. Sergeant, John McBeth, William Gregory Dixon · 2020 · Bulletin of the American Meteorological Society
  33. Classification of Parkinson's Disease from Smartphone Recording Data using Time-Frequency Analysis and Convolutional Neural Network (Preprint)
    Denchai Worasawate, Warisara Asawaponwiput, Natsue Yoshimura, Apichart Intarapanich, Decho Surangsrirat · 2021
  34. Evaluation of Smartphone as a Real-Time Tool for Hand Tremor Assessment
    Priyadarshini Natarajan, Venkatesh Balasubramanian · 2021 · Design science and innovation
  35. Suitability of Articulation Analysis for Extracting Speech Signals Features of Chinese Speaking Patients With Parkinson
    Wei Liu, Dandan Zhu, Zewei Xu, Yan Hong Fu, Zhonglue Chen · 2021 · International Conference on Bio-engineering for Smart Technologies (BioSMART)
  36. Bibliography
    2021 · Emerald Group Publishing Limited eBooks
  37. Versatile and Scalable Platform Streamlines Data Collection for Patient-Centered Studies (Preprint)
    Hussein Ezzeldin, Haley Huang, Sofia Aschettino, Nasim Lari, Ting-Hsuan Lee, Sarah Stothers Rosenberg, Xinyi Ng, Stella G. Muthuri, Anirudh Bakshi, Korrin Bishop · 2022
  38. Overview of healthcare biotechnology
    Aiman Tanveer, Kanchan Yadav, Shruti Dwivedi, Supriya Gupta, Pramod Kumar Yadav, Dinesh Yadav · 2022 · Elsevier eBooks
  39. Association between non-motor symptoms and health-related quality of life for patients with Parkinson’s disease: Evidence from a smartphone-based survey
    Xiaojing Fan, Yaxin Zhao, Huanyuan Luo, Ben James, Duolao Wang, Bruce Hellman · 2020
  40. Limited diagnostic accuracy of smartphone-based digital biomarkers for Parkinson's disease in a remotely-administered setting (Preprint)
    Maria Goni, Simon Bodo Eickhoff, Mehran Sahandi Far, Kaustubh R. Patil, Juergen Dukart · 2021
  41. Enrollment and retention of participants in remote digital health studies: a scoping review and framework proposal (Preprint)
    Paola Daniore, Vasileios Nittas, Viktor von Wyl · 2022
  42. Mobile health apps and self-management for spinal cord injury rehabilitation
    Gurkaran Singh, Megan K. MacGillivray, Ethan Simpson, Bonita Sawatzky, W. Ben Mortenson · 2022 · Elsevier eBooks
  43. Comparing Lab-based and Telephone-based Speech Recordings Towards Parkinson's Assessment: Insights from Acoustic Analysis
    Athanasios Tsanas · 2022 · International Conference on Telecommunications and Signal Processing (TSP)
  44. Smile and speech for screening Parkinson’s disease and cognitive decline: A crowdsourced cross-sectional study
    Genko Oyama, Mayuko Ogawa, Ken Morito, Ryosuke Ishida, Hiroshi Urata, Xiangxun Lu, Tomohisa Kobayashi, Rina Wooden, Susumu Ota, Taku Hatano et al. · 2022 · Research Square
  45. Analysis of Parkinson’s disease based on mobile application
    Miguel Jesus Torres-Ruiz, Giovanni Guzmán, Marco Moreno-Ibarra, Ana Acosta-Arenas · 2021 · Elsevier eBooks
  46. DeePaGait: Motor Assessment of Parkinson’s Disease Using a Multi-Layer 1D Convolutional Neural Network on Smartphone Gait Data
    Hamza Abujrida, Emmanuel Agu, Kaveh Pahlavan · 2022 · IEEE International Conference on Big Data (BigData)
  47. DiaTrend: A dataset from advanced diabetes technology to enable development of novel analytic solutions
    Temiloluwa Prioleau, Abigail Bartolome, Richard J. Comi, Catherine Stanger · 2023 · arXiv (Cornell University)
  48. Neuroréhabilitation
    Mihaela Bustuchina ̆ Vlaicu, Andrei Vlaicu · 2023 · Elsevier eBooks
  49. Einsatz KI-gestützter Diagnostik von Sprach- und Sprechstörungen bei neurodegenerativen Erkrankungen
    Mira Fischer, Alexander Jäck · 2023 · Nervenheilkunde
  50. DigiPark Application: An Exploration of its Development Through Neurologist-Patient Collaborative Feedback (Preprint)
    Martin Duracinský, Eva Brown Hajdukova, Fabienne Péretz, Julie Sauzin, Neziha Gouider‐Khouja, Caroline Atlani, Djamchid Dalili · 2023
  51. Non-Linear and Non-Stationary Speech Analysis of Parkinson’s Disease Using Empirical Mode Decomposition
    Alice Rueda · 2024
  52. Non-Linear and Non-Stationary Speech Analysis of Parkinson’s Disease Using Empirical Mode Decomposition
    Alice Rueda · 2024
  53. Mobile Datenerfassung in der Pflege
    Maximilian Karthan, Daniel Hieber, Alma Dautovic, Rüdiger C. Pryss, Johannes Schobel · 2024 · Springer eBooks
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  55. Responsible practices for data sharing.
    George Charles Alter, Richard Gonzalez · 2024 · American Psychological Association eBooks
  56. Parkinson's Disease Detection Using Voice and Speech—Systematic Literature Review
    Ronak Khatwad, Suyash Tiwari, Yash Tripathi, Ajay Nehra, Ashish Kumar Sharma · 2024
  57. Collecting Feedback From Neurologists and Patients to Guide Development of a Parkinson Disease App (DigiPark): Qualitative, Noninterventional Study
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    Martin Downes, Kyoo il Kim, Marcelo Graziano Custódio, Igor Solev, Tommaso Simoncini, Yu Qi · 2025 · IntechOpen eBooks
  60. An Overview of Various Datasets Used in the Early Detection of Parkinson’s Disease
    Ishita Jaiswal, Bramah Hazela, Shikha Singh, Vineet Pratap Singh · 2025 · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
  61. PD-VOST: Parkinson’s Disease Voice Spectrogram Transformer
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  63. Characteristics and Validity of Commercially Available Technologies Analyzing Voice Features to Assess Parkinson's Disease
    John Mark Dean, Vassilena Iankova, Angela Roberts, Susanne A. Schneider · 2025 · Movement Disorders Clinical Practice
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  65. A Scoping Review on the Use of Voice Biomarkers for Emotional Assessment
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  66. Why context matters: Clinical validation of digital measures for use in Parkinson’s disease
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  67. Assessing Privacy-Friendly Local Open-Source Voice Annotation for Participants with Parkinson’s Disease
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  69. Machine learning–based gait freezing detection and classification in Parkinson's patients using biometric insights
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  70. A Survey of Open Voice and Speech Datasets for the Screening and Evaluation of Parkinson’s Disease
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  71. Additional file 2 of Parkinson’s disease: current assessment methods and wearable devices for evaluation of movement disorder motor symptoms - a patient and healthcare professional perspective
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  72. Additional file 1 of Parkinson’s disease: current assessment methods and wearable devices for evaluation of movement disorder motor symptoms - a patient and healthcare professional perspective
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  73. Additional file 1 of A cross-sectional study of symptoms and health-related quality of life in menopausal-aged women in China
    Tamlyn Anne Rautenberg, Shu‐Kay Ng, Martin Downes · 2023 · Figshare
  74. Inteligencia artificial y su uso en neurología: una revisión actualizada
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  76. Machine Learning-Driven Remote Monitoring of Parkinson’s Disease Severity Using At-Home Vocal Recordings
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  78. Self-Supervised Anomaly Detection for Parkinson’s Disease in Free-Living Environment
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  79. Voice Biomarkers-Based Prediction of Parkinson's Disease Using Multiple Machine Learning Techniques
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  81. Adaptive Reinforcement Learning Framework for Personalized Parkinson's Disease Medication Optimization
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  82. Smartphone-Based Multimodal Digital Biomarker Integration for Parkinson’s Disease Screening and Diagnostic Support (Preprint)
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  85. Automatic speech and language processing for precision medicine in Huntington’s disease
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