Published on in Vol 8, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21543, first published .
Smartphone-Based Monitoring of Parkinson Disease: Quasi-Experimental Study to Quantify Hand Tremor Severity and Medication Effectiveness

Smartphone-Based Monitoring of Parkinson Disease: Quasi-Experimental Study to Quantify Hand Tremor Severity and Medication Effectiveness

Smartphone-Based Monitoring of Parkinson Disease: Quasi-Experimental Study to Quantify Hand Tremor Severity and Medication Effectiveness

Journals

  1. Vescio B, Quattrone A, Nisticò R, Crasà M, Quattrone A. Wearable Devices for Assessment of Tremor. Frontiers in Neurology 2021;12 View
  2. Martín-Ávila G, Vieira-Campos A, Labrador-Marcos S, Zheng X, Méndez-Burgos A, Thuissard I, Andreu-Vázquez C, Ordieres-Meré J, Aladro Y. Patients' self-assessment of essential tremor severity by a validated scale: A useful tool in telemedicine?. Parkinsonism & Related Disorders 2022;96:22 View
  3. Xia Y, Hu J, Zhao S, Tao L, Li Z, Yue T, Kong J. Build-in sensors and analysis algorithms aided smartphone-based sensors for point-of-care tests. Biosensors and Bioelectronics: X 2022;11:100195 View
  4. Liu W, Lin X, Chen X, Wang Q, Wang X, Yang B, Cai N, Chen R, Chen G, Lin Y. Vision-based estimation of MDS-UPDRS scores for quantifying Parkinson's disease tremor severity. Medical Image Analysis 2023;85:102754 View
  5. Xu Z, Shen B, Tang Y, Wu J, Wang J. Deep Clinical Phenotyping of Parkinson’s Disease: Towards a New Era of Research and Clinical Care. Phenomics 2022;2(5):349 View
  6. Lee J, Yeom I, Chung M, Kim Y, Yoo S, Kim E. Use of Mobile Apps for Self-care in People With Parkinson Disease: Systematic Review. JMIR mHealth and uHealth 2022;10(1):e33944 View
  7. Moreta-de-Esteban P, Martín-Casas P, Ortiz-Gutiérrez R, Straudi S, Cano-de-la-Cuerda R. Mobile Applications for Resting Tremor Assessment in Parkinson’s Disease: A Systematic Review. Journal of Clinical Medicine 2023;12(6):2334 View
  8. Khanna A, Jones G. Toward Personalized Medicine Approaches for Parkinson Disease Using Digital Technologies. JMIR Formative Research 2023;7:e47486 View
  9. Zhang H, Parsia B, Poliakoff E, Harper S. Tracking social behaviour with smartphones in people with Parkinson's: a longitudinal study. Behaviour & Information Technology 2023:1 View
  10. Ferreira V, Metting E, Schauble J, Seddighi H, Beumeler L, Gallo V. eHealth tools to assess the neurological function for research, in absence of the neurologist – a systematic review, part I (software). Journal of Neurology 2024;271(1):211 View
  11. Bui T, Thangavel B, Sharipov M, Chen K, Shin J. Smartphone-Based Portable Bio-Chemical Sensors: Exploring Recent Advancements. Chemosensors 2023;11(9):468 View
  12. Paredes-Acuna N, Utpadel-Fischler D, Ding K, Thakor N, Cheng G. Upper limb intention tremor assessment: opportunities and challenges in wearable technology. Journal of NeuroEngineering and Rehabilitation 2024;21(1) View

Books/Policy Documents

  1. Nair S, Muddapu V, Sriram M, Aditya R, Gupta R, Chakravarthy S. Techniques for Assessment of Parkinsonism for Diagnosis and Rehabilitation. View
  2. Ymeri G, Salvi D, Olsson C. Pervasive Computing Technologies for Healthcare. View
  3. Sarmah A, Kanagaraj S, Unal A. Artificial Intelligence in Tissue and Organ Regeneration. View
  4. Bodenstein K, Paquin V, Sekhon K, Lesage M, Cinalioglu K, Rej S, Vahia I, Sekhon H. Biomarkers in Neuropsychiatry. View