Published on in Vol 5 , No 1 (2018) :Jan-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/8335, first published .
A Kinematic Sensor and Algorithm to Detect Motor Fluctuations in Parkinson Disease: Validation Study Under Real Conditions of Use

A Kinematic Sensor and Algorithm to Detect Motor Fluctuations in Parkinson Disease: Validation Study Under Real Conditions of Use

A Kinematic Sensor and Algorithm to Detect Motor Fluctuations in Parkinson Disease: Validation Study Under Real Conditions of Use

Journals

  1. Thorp J, Adamczyk P, Ploeg H, Pickett K. Monitoring Motor Symptoms During Activities of Daily Living in Individuals With Parkinson's Disease. Frontiers in Neurology 2018;9 View
  2. Teshuva I, Hillel I, Gazit E, Giladi N, Mirelman A, Hausdorff J. Using wearables to assess bradykinesia and rigidity in patients with Parkinson’s disease: a focused, narrative review of the literature. Journal of Neural Transmission 2019;126(6):699 View
  3. Habets J, Heijmans M, Herff C, Simons C, Leentjens A, Temel Y, Kuijf M, Kubben P. Mobile Health Daily Life Monitoring for Parkinson Disease: Development and Validation of Ecological Momentary Assessments. JMIR mHealth and uHealth 2020;8(5):e15628 View
  4. Evers L, Raykov Y, Krijthe J, Silva de Lima A, Badawy R, Claes K, Heskes T, Little M, Meinders M, Bloem B. Real-Life Gait Performance as a Digital Biomarker for Motor Fluctuations: The Parkinson@Home Validation Study. Journal of Medical Internet Research 2020;22(10):e19068 View
  5. Rodríguez-Molinero A, Pérez-López C, Samà A, Rodríguez-Martín D, Alcaine S, Mestre B, Quispe P, Giuliani B, Vainstein G, Browne P, Sweeney D, Quinlan L, Arostegui J, Bayes À, Lewy H, Costa A, Annicchiarico R, Counihan T, Laighin G, Cabestany J. Estimating dyskinesia severity in Parkinson’s disease by using a waist-worn sensor: concurrent validity study. Scientific Reports 2019;9(1) View
  6. Morgan C, Rolinski M, McNaney R, Jones B, Rochester L, Maetzler W, Craddock I, Whone A. Systematic Review Looking at the Use of Technology to Measure Free-Living Symptom and Activity Outcomes in Parkinson’s Disease in the Home or a Home-like Environment. Journal of Parkinson's Disease 2020;10(2):429 View
  7. Hørmann Thomsen T, Kjær T, Bastrup Jørgensen L, Haahr A, Winge K. “Does the Response to Morning Medication Predict the ADL-Level of the Day in Parkinson’s Disease?”. Parkinson's Disease 2020;2020:1 View
  8. Gurchiek R, Choquette R, Beynnon B, Slauterbeck J, Tourville T, Toth M, McGinnis R. Open-Source Remote Gait Analysis: A Post-Surgery Patient Monitoring Application. Scientific Reports 2019;9(1) View
  9. Zesiewicz T. Parkinson Disease. CONTINUUM: Lifelong Learning in Neurology 2019;25(4):896 View
  10. Del Din S, Kirk C, Yarnall A, Rochester L, Hausdorff J, Mirelman A, Dorsey E, Brundin P, Bloem B. Body-Worn Sensors for Remote Monitoring of Parkinson’s Disease Motor Symptoms: Vision, State of the Art, and Challenges Ahead. Journal of Parkinson's Disease 2021;11(s1):S35 View
  11. Habets J, Heijmans M, Leentjens A, Simons C, Temel Y, Kuijf M, Kubben P, Herff C. A Long-Term, Real-Life Parkinson Monitoring Database Combining Unscripted Objective and Subjective Recordings. Data 2021;6(2):22 View
  12. Heidarivincheh F, McConville R, Morgan C, McNaney R, Masullo A, Mirmehdi M, Whone A, Craddock I. Multimodal Classification of Parkinson’s Disease in Home Environments with Resiliency to Missing Modalities. Sensors 2021;21(12):4133 View
  13. Barrachina-Fernández M, Maitín A, Sánchez-Ávila C, Romero J. Wearable Technology to Detect Motor Fluctuations in Parkinson’s Disease Patients: Current State and Challenges. Sensors 2021;21(12):4188 View
  14. Milano F, Cerro G, Santoni F, De Angelis A, Miele G, Rodio A, Moschitta A, Ferrigno L, Carbone P. Parkinson’s Disease Patient Monitoring: A Real-Time Tracking and Tremor Detection System Based on Magnetic Measurements. Sensors 2021;21(12):4196 View
  15. Perrote F, Zeppa G, Coca H, Figueroa S, de Battista J. Evaluación de un sistema de sensores inerciales externos tipo Holter en pacientes con enfermedad de Parkinson en Argentina. Neurología Argentina 2021 View

Books/Policy Documents

  1. Harte R, Ó Laighin G, Quinlan L. Digital Health. View