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Citing this Article

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Published on 25.04.18 in Vol 5, No 1 (2018): Jan-Jun

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

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

According to Crossref, the following articles are citing this article (DOI 10.2196/rehab.8335):

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

  1. Teshuva I, Hillel I, Gazit E, Giladi N, Mirelman A, Hausdorff JM. 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
  2. Habets J, Heijmans M, Herff C, Simons C, Leentjens A, Temel Y, Kuijf M, Kubben P. Development and validation of mHealth monitoring for Parkinson’s disease based on ecological momentary assessments (Preprint). JMIR mHealth and uHealth 2019;
  3. 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 LR, Arostegui JMM, Bayes , 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)
  4. Gurchiek RD, Choquette RH, Beynnon BD, Slauterbeck JR, Tourville TW, Toth MJ, McGinnis RS. Open-Source Remote Gait Analysis: A Post-Surgery Patient Monitoring Application. Scientific Reports 2019;9(1)
  5. Zesiewicz TA. Parkinson Disease. CONTINUUM: Lifelong Learning in Neurology 2019;25(4):896
  6. Thorp JE, Adamczyk PG, Ploeg H, Pickett KA. Monitoring Motor Symptoms During Activities of Daily Living in Individuals With Parkinson's Disease. Frontiers in Neurology 2018;9