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Citing this Article

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Published on 26.03.18 in Vol 20, No 3 (2018): March

This paper is in the following e-collection/theme issue:

Works citing "Detecting Motor Impairment in Early Parkinson’s Disease via Natural Typing Interaction With Keyboards: Validation of the neuroQWERTY Approach in an Uncontrolled At-Home Setting"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.9462):

(note that this is only a small subset of citations)

  1. López-Blanco R, Velasco MA, Méndez-Guerrero A, Romero JP, del Castillo MD, Serrano JI, Rocon E, Benito-León J. Smartwatch for the analysis of rest tremor in patients with Parkinson's disease. Journal of the Neurological Sciences 2019;401:37
    CrossRef
  2. Taib R, Berkovsky S. Modeling humans via physiological and behavioral signals. Interactions 2020;27(3):30
    CrossRef
  3. Belić M, Bobić V, Badža M, Šolaja N, Đurić-Jovičić M, Kostić VS. Artificial intelligence for assisting diagnostics and assessment of Parkinson’s disease—A review. Clinical Neurology and Neurosurgery 2019;184:105442
    CrossRef
  4. Matarazzo M, Arroyo‐Gallego T, Montero P, Puertas‐Martín V, Butterworth I, Mendoza CS, Ledesma‐Carbayo MJ, Catalán MJ, Molina JA, Bermejo‐Pareja F, Martínez‐Castrillo JC, López‐Manzanares L, Alonso‐Cánovas A, Rodríguez JH, Obeso I, Martínez‐Martín P, Martínez‐Ávila JC, Cámara AG, Gray M, Obeso JA, Giancardo L, Sánchez‐Ferro . Remote Monitoring of Treatment Response in Parkinson's Disease: The Habit of Typing on a Computer. Movement Disorders 2019;34(10):1488
    CrossRef
  5. Iakovakis D, Chaudhuri KR, Klingelhoefer L, Bostantjopoulou S, Katsarou Z, Trivedi D, Reichmann H, Hadjidimitriou S, Charisis V, Hadjileontiadis LJ. Screening of Parkinsonian subtle fine-motor impairment from touchscreen typing via deep learning. Scientific Reports 2020;10(1)
    CrossRef
  6. Morgan C, Rolinski M, McNaney R, Jones B, Rochester L, Maetzler W, Craddock I, Whone AL. 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
    CrossRef
  7. Piri S. Missing care: A framework to address the issue of frequent missing values;The case of a clinical decision support system for Parkinson's disease. Decision Support Systems 2020;136:113339
    CrossRef
  8. Sanderson JB, Yu JH, Liu DD, Amaya D, Lauro PM, D'Abreu A, Akbar U, Lee S, Asaad WF. Multi-Dimensional, Short-Timescale Quantification of Parkinson's Disease and Essential Tremor Motor Dysfunction. Frontiers in Neurology 2020;11
    CrossRef
  9. Monje MH, Foffani G, Obeso J, Sánchez-Ferro . New Sensor and Wearable Technologies to Aid in the Diagnosis and Treatment Monitoring of Parkinson's Disease. Annual Review of Biomedical Engineering 2019;21(1):111
    CrossRef
  10. Iakovakis D, Hadjidimitriou S, Charisis V, Bostantjopoulou S, Katsarou Z, Klingelhoefer L, Reichmann H, Dias SB, Diniz JA, Trivedi D, Chaudhuri KR, Hadjileontiadis LJ. Motor Impairment Estimates via Touchscreen Typing Dynamics Toward Parkinson's Disease Detection From Data Harvested In-the-Wild. Frontiers in ICT 2018;5
    CrossRef
  11. Warmerdam E, Hausdorff JM, Atrsaei A, Zhou Y, Mirelman A, Aminian K, Espay AJ, Hansen C, Evers LJW, Keller A, Lamoth C, Pilotto A, Rochester L, Schmidt G, Bloem BR, Maetzler W. Long-term unsupervised mobility assessment in movement disorders. The Lancet Neurology 2020;19(5):462
    CrossRef
  12. Estrada-Galiñanes V, Wac K, Hoehndorf R. Collecting, exploring and sharing personal data: Why, how and where. Data Science 2019;:1
    CrossRef