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
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- Empowering the measurement of early Parkinson’s disease digital biomarkers by a features-attention fusion network and smartphoneTongyue He, Junxin Chen, David Camacho · 2025 · Measurement
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- Neurophysiological Vocal Source Modeling for Biomarkers of DiseaseGregory A. Ciccarelli, Thomas Francis Quatieri, Satrajit Ghosh · 2016 · Interspeech (USB)
- Design of a clinical decision support system powered by mhealth for the management of Parkinson's diseaseDimitrios A. Gatsios, George Rigas, Spyridon Konitsiotis · 2021 · South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM)
- Up-Sampling Active Learning: An Activity Recognition Method for Parkinson’s Disease PatientsPeng Yue, Xiang Wang, Yang Yu, Jun Qi, Po Yang · 2023 · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
- FedDBM: Federated Digital Biomarker for Detecting Parkinson’s Disease ProgressYiqiang Chen, Xiaodong Yang, Yuting He, Chunyan Miao, Piu Chan · 2023 · IEEE International Conference on Multimedia and Expo (ICME)
- Detection of Parkinson's Disease and Its Severity Using Deep LearningMd Shabbeer, M Pravalika, M Likhitha, K Grace Leena, K Sheshikanth, R. Pitchai · 2023 · International Conference on Inventive Research in Computing Applications (ICIRCA)
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- The role of metabolomics in personalized medicineDrupad K. Trivedi, Royston Goodacre · 2020 · Elsevier eBooks
- Diagnosis of Parkinson’s Disease using Artificial Neural NetworkM Anila · 2020 · International Journal of Emerging Trends in Engineering Research
- Proof-of-Concept Study: a Mobile Application to Derive Clinical Outcome Measures from Expression and Speech for Mental Health Status EvaluationFrancesco Luke Siena, Michael Vernon, Paul Watts, Bill Byrom, David E. Crundall, Philip Breedon · 2020 · Journal of Medical Systems
- Application of Technology in HealthcareAndreia Robert Lopes, Ana Sofia Dias, Bebiana Sá‐Moura · 2021 · Advances in data mining and database management book series
- Design and Validation of a New Diagnostic Tool for the Differentiation of Pathological Voices in Parkinsonian PatientsEleana E. I. Almaloglou, Styliani A. Geronikolou, George Panagiotis Chrousos, Constantine L. Kotropoulos · 2021 · Advances in experimental medicine and biology
- Beyond Audio-Video Telehealth: Perspective on the Current State and Future Directions of Digital Neurological Care in the United StatesBenjamin R. Kummer, Neil A. Busis · 2024 · JMIR Neurotechnology
- Ubi-AD: Towards Ubiquitous, Passive Alzheimer Detection using the SmartwatchYuan Li Wu, Yanjiao Chen, Jian Zhang, Xueluan Gong, Hongliang Bi · 2024 · ACM Transactions on Sensor Networks
- Advancing Parkinson’s Disease Detection: A Review of AI and Deep Learning InnovationsMarwane Beriich, Asmae Ouhmida, Zakaria Alouani, Shawki Saleh, Bouchaib Cherradi, Abdelhadi Raihani · 2025 · International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)
- A standards-based approach to digital health research: implementing the people heart studyRaheel Sayeed, David Kreda, Joshua C. Mandel, Bryan Larson, William Gordon, Kenneth D. Mandl, Isaac S. Kohane · 2025 · Journal of the American Medical Informatics Association
- Causality-Aware Predictions in Static Anticausal Machine Learning TasksElias Chaibub Neto · 2022 · IEEE Transactions on Neural Networks and Learning Systems
- Usability of a Mobile Application for Patients with Parkinson’s DiseaseGent Ymeri, Benjamin Maus, Myrthe Wassenburg, Carl Magnus Olsson, Per Svenningsson, Dario Salvi · 2024 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
- Cross-device and test–retest reliability of speech acoustic measurements derived from consumer-grade mobile recording devicesZian Hu, Zhenglin Zhang, Hai Li, Lizhuang Yang · 2024 · Behavior Research Methods
- Criterion validity of five open-source app-based cognitive and sensory tasks in an Australian adult life course sample aged 18 to 82: Labs without wallsShally Zhou, Brooke Brady, Kaarin Jane Anstey · 2025 · Behavior Research Methods
- Impact of a digital platform and flare risk blood biomarker index on lupus: A study protocol design for evaluating self efficacy and disease managementEldon R. Jupe, Mohan Purushothaman, Bruce Wang, Gerald Henry Lushington, Sandeep Nair, Vijay R. Nadipelli, Bernard Rubin, Melissa E. Munroe, Jessica Crawley, Sneha Nair et al. · 2025 · Contemporary Clinical Trials Communications
- Out‐of‐Distribution Detection as a Risk‐Control Strategy for Medical Classification Machine Learning ModelsChunhua Weng, Joshua Ward, Wesley Lin, Sherry Dong, Qi Liu, Hanrui Zhang · 2025 · Clinical and Translational Science
- Real-Time Screening of Parkinson's Disease based on Speech Analysis using SmartphoneMd. Tanvir Ehsan, Shehan Irteza Pranto, Khondaker A. Mamun · 2021 · International IEEE/EMBS Conference on Neural Engineering
- Validating the measurement of upper limb sensorimotor behavior utilizing a tablet in neurologically intact controls and individuals with chronic strokeDevin Sean Austin, Makenna J. Dixon, Duncan Thibodeau Tulimieri, Joshua G. A. Cashaback, Jennifer A. Semrau · 2023 · Journal of NeuroEngineering and Rehabilitation
- A Unified Data Architecture for Assessing Motor Symptoms in Parkinson’s DiseaseChristopher Gundler, Qi Zhu, Leona Trübe, Adrin Dadkhah, Tobias Gutowski, Moritz Rosch, Claudia Langebrake, Sylvia Nürnberg, Michael Baehr, Frank Ückert · 2023 · Studies in health technology and informatics
- Remote Assessment, in Real-World Setting, of Tremor Severity in Parkinson's Disease Patients Using Smartphone Inertial SensorsThanneer Malai Perumal, Meghasyam Tummalacherla, Phil Snyder, Elias Chaibub Neto, Earl Ray Dorsey, Lara M. Mangravite, Larsson Omberg · 2018 · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp)
- Evaluation of Source-wise Missing Data Techniques for the Prediction of Parkinson’s Disease Using SmartphonesJohn Prince, Fernando Andreotti, Maarten De Vos · 2019 · IEEE International Conference on Acoustics Speech and Signal Processing
- Exploring Demographic Effects on Speaker VerificationSophie Si, Zhengxiong Li, Wenyao Xu · 2021 · IEEE Conference on Communications and Network Security
- User Engagement Metrics and Patterns in Phendo, an Endometriosis Research Mobile AppNoémie Elhadad, Iñigo Urteaga, Sharon Lipsky Gorman, Mollie M. McKillop · 2022 · Research Square
- Self-supervised learning for early detection of neurodegenerative diseases with small dataHongchao Jiang · 2023
- Smartphone-based measurement of cardiovascular healthcare: Advances and applicationsXianzhe Chen, Junxin Chen, Hongzeng Xu, Tongyue He, Mikael Fridenfalk, Zhihan Lv · 2025 · Measurement
- Early detection of Parkinson's disease: Machine learning-based prediction of UPDRS Part III scores in de novo patients using smartphone assessmentsWeihang Guo, Xiaodong Yang, Zheng Ruan, Xu Wang, Dan-Zuo Zhang, Shu-Chao Song, Yiqiang Chen, Piu Chan · 2025 · Journal of Parkinson s Disease
- Accessibility and usage patterns of wearable devices among Chinese adults: the Huawei Blood Pressure Health StudyYing Wang, Shanshan Zhou, Yuqi Liu, Dandan Li, Shun-Ying Hu, Wang Xi, Yi Li, Yani Yu, Yundai Chen · 2025 · European Heart Journal - Digital Health
- Enabling Automated, Conversational Health Coaching with Human-Centered Artificial IntelligenceElliot G. Mitchell · 2021
- An Improvised Machine Learning Approach for Wireless Sensor-Based Healthcare ApplicationsV. Bharathi, C. N. S. Vinoth Kumar · 2022 · Lecture notes on data engineering and communications technologies
- Respondents of health survey powered by the innovative NURO app exhibit correlations between exercise frequencies and diet habits, and between stress levels and sleep wellnessDaniel Gallucci, Ernest C. Y. Ho, Joseph Geraci, Joseph Loren, Luca Pani · 2022 · Frontiers in Psychiatry
- Linking Data Collected from Mobile Phones with Symptoms Level in Parkinson’s Disease: Data Exploration of the mPower StudyGent Ymeri, Dario Salvi, Carl Magnus Olsson · 2023 · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
- Remote Medication Status Prediction for Individuals with Parkinson’s Disease using Time-series Data from SmartphonesWeijian Li, Wei Zhu, Earl Ray Dorsey, Jiebo Luo · 2023 · IEEE International Conference on Digital Health (ICDH)
- Early diagnosis of Parkinson disease using Machine Learning TechniquesAtul Srivastava, Harshita Rana, Prashant Dixit, Reecha Singh · 2023 · International Conference on Information Management & Machine Intelligence (ICIMMI)
- Participant Contributions to Person-Generated Health Data Research Using Mobile Devices: Scoping ReviewShanshan Song, Micaela Ashton, Rebecca Hahn Yoo, Zoljargal Lkhagvajav, Robert A. Wright, Debra Mathews, Casey Overby Taylor · 2024 · Journal of Medical Internet Research
- Noninvasive Deep Learning Analysis for Smith–Magenis Syndrome ClassificationEsther Núñez-Vidal, Raúl Fernández-Ruiz, Agustín Álvarez-Marquina, Irene Hidalgo de la Guía, Elena Garayzábal, Nikola Hristov-Kalamov, Francisco Domínguez-Mateos, Cristina Conde, R. Martínez · 2024 · Applied Sciences
- Evaluation of compliance and accuracy in Parkinson’s disease motor symptom tracking: a comparative study of digital and traditional paper diaries using a smartphone application (MyParkinson’s)Nazlı Durmaz Çelik, Aslı Yaman Kula, Naci Murat, Müge Kuzu Kumcu, Aydan Topal, Serhat Özkan · 2025 · Frontiers in Neurology
- Feasibility, adherence and usability of an observational digital health study built using Apple’s ResearchKit among adults aged 18–84 yearsBrooke Brady, S. Zhou, D. Ashworth, Lidan Zheng, Ranmalee Eramudugolla, Kaarin Jane Anstey · 2025 · Frontiers in Digital Health
- Implementation and Adherence of a Custom Mobile Application for Anonymous Bidirectional Communication Among Nearly 4000 Participants: Insights from the Longitudinal RisCoin StudyAna Zhelyazkova, Sibylle Koletzko, Kristina Adorjan, Anna Schrimf, Stefanie Völk, Leandra Koletzko, Alexandra Fabry-Said, Andreas Osterman, Irina Badell, Marc Eden et al. · 2025 · Infectious Disease Reports
- Enhancing Detection of Parkinson-Induced Dysarthria with Cross-Lingual Transfer LearningAndreas Rouvalis, Johannes Tröger, Julius Steuer, Juan Rafael Orozco‐Arroyave, Jan Rusz, Jouni Pohjalainen, Hali Lindsay, Bernd Möbius, Dietrich Klakow · 2025 · Lecture notes in computer science
- Technological advances enabling an enhanced understanding of early Alzheimer's diseaseRhoda Au, Niranjan Bose, Farhad B. Imam, Vijaya B. Kolachalama · 2025 · Alzheimer s & Dementia
- Ambient Assisted Living for an Ageing Society: a Technological Overview.Marco Mobilio, Toshi Kato, Hiroko Kudo, Daniela Micucci · 2016 · BOA (University of Milano-Bicocca)
- Utilizing Consumer Technology (Apple’s ResearchKit) for Medical Studies by Patients and Researchers: Proof of Concept of the Novel Platform REachMarleen M. H. J. van Gelder, Lucien JLPG Engelen, Thijs Sondag, Tom H van de Belt · 2018 · Journal of Participatory Medicine
- Machine Learning Methods for Managing Parkinson’s DiseaseKunjan Vyas, Shubhendu Vyas, Nikunj Rajyaguru · 2020 · Learning and analytics in intelligent systems
- An Analysis of Automated Parkinson’s Diagnosis Using Voice: Methodology and Future DirectionsTimothy J. Wroge, Reza Hosseini Ghomi · 2020 · Springer eBooks
- Putting it all together: Connecting mobile technology to systems biologyOlivia Walch · 2020 · Current Opinion in Systems Biology
- mHealth for researchIpek Ensari, Noémie Elhadad · 2020 · Elsevier eBooks
- Diagnosis of Parkinson’s Disease Using Deep Neural Network ModelM Anila, G Pradeepini · 2021 · International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON)
- Artificial Intelligence Based Diagnosis of Parkinson’s DisordersKamini, Shalli Rani, Ali Kashif Bashir · 2023 · Cognitive technologies
- Regulating mobile health research in Canada: Public trust and public participationMa’n H. Zawati, M. Lang · 2024 · Ethics Medicine and Public Health
- Data Sharing and ReuseIda Sim · 2020 · Springer eBooks
- Current Trends of Computational Tools in Geriatric Medicine and Frailty ManagementAnna Maria Louka, Christos Tsagkaris, Panagiotis Christoforou, Andleeb Khan, Filia Alexiou, Panagiota Simou, Ioannis Iraklis Haranas, Ioannis Gkigkitzis, George D. Zouganelis, Niraj Kumar Jha et al. · 2022 · Frontiers in Bioscience-Landmark
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- JuTrack: A Digital Biomarker Platform for Remote Monitoring in Neuropsychiatric and Psychiatric Diseases (Preprint)Mehran Sahandi Far, Michael Stolz, Jona M. Fischer, Simon Bodo Eickhoff, Juergen Dukart · 2021
- Promoting brain health in a digital worldPrabha Siddarth, John F. Hodes, Gary W. Small · 2023 · Elsevier eBooks
- Parkinson’s Disease Tremor Severity Classification - A Comparison Between ON and OFF Medication StateGhayth AlMahadin, Ahmad Lotfi, Marie Mc Carthy, Philip Breedon · 2021 · Lecture notes in computer science
- Data Sharing and ReuseIda Sim · 2022 · Springer eBooks
- Mobile Phone-Based Digital Biomarkers Empowered by Knowledge Distillation for Diagnosis of Parkinson’s DiseaseTongyue He, Junxin Chen, Chi Lin, Wei William Wang · 2025 · IEEE Transactions on Mobile Computing
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- The Road AheadChristopher Oloruntoba Akintayo, Samuel Obiosa Onyekweli, Gloria Osayamen Omoruyi, Joseph Oluwatomi Akintayo · 2026 · IGI Global eBooks
- Clinician and patient perspectives on meaningful Parkinson's disease impacts for digital assessmentAndrew Pearlmutter, Robert Ellis, Peterschmitt MJ · 2026 · Frontiers in Neurology
- Self-Supervised Contrastive Learning for Remote Detection of Early Parkinson’s Disease by Mobile Phone Digital BiomarkersTongyue He, Chi‐Chen Lin, Qiang He, Yongfei Wu, Junxin Chen · 2026 · IEEE Transactions on Mobile Computing
- Physiology-Driven Inference Using Large Language Models Enables Probabilistic Assessment of Huntington’s Disease from Smartphone Eye-Movement DataLeonardo Eleuterio Ariello, K P Wang, David E. Newman‐Toker, Jee Bang, David P. W. Rastall · 2026 · AI
- Design of a dual-route acoustic-feature and EfficientNet-B0 spectrogram-based voice-screening device for Parkinson’s disease assessmentWenxiang Zhou, Ziwei Yu, Shujuan Luo · 2026 · Biomedizinische Technik/Biomedical Engineering
- Causal Analysis of Parkinson’s Motor Symptoms Using Structured Smartphone Accelerometer DataAbdulrahman Aloyayri, Max A. Little, Nawfal A. Zakar · 2026 · Lecture notes in computer science
- Patient-Centered Designs (and Outcomes)Frances M. Weaver · 2017 · Springer eBooks
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- Improving Outcomes: Big Data and Predictive AnalyticsAditya V. Karhade, William Brian Gormley, Timothy Richard Smith · 2018 · Elsevier eBooks
- A Look to the FutureErick R. Scott, Richard L. Wallsten · 2019 · Elsevier eBooks
- Scaling-Out Longitudinal Clinical Analytics with Dataflow ProcessingJoan Saez Pons, Cosmin Stamate, David J. Weston, George Roussos · 2019 · IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)
- Choosing the Most Suitable Classifier for Supporting Assistive Technology Adoption in People with Parkinson’s Disease: A Fuzzy Multi-criteria ApproachMiguel Angel Ortiz Barrios, Ian Cleland, Mark P Donnelly, Jonathan Greer, Antonella Petrillo, Zaury Fernández-Mendoza, Natalia Jaramillo-Rueda · 2020 · Lecture notes in computer science
- The growing significance of smartphone apps in data-driven clinical decision-making: Challenges and pitfallsIva Halilaj, Yvonka van Wijk, Arthur Jochems, Philippe Lambin · 2020 · Elsevier eBooks
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- Disentangling personalized treatment effects from “time-of-the-day” confounding in mobile health studiesElias Chaibub Neto, Thanneer Malai Perumal, Abhishek Pratap, Aryton Tediarjo, Brian M. Bot, Lara M. Mangravite, Larsson Omberg · 2022 · PLoS ONE
- Application of Technology in HealthcareAndreia Robert Lopes, Ana Sofia Dias, Bebiana Sá‐Moura · 2022 · IGI Global eBooks
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