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Citing this Article

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Published on 02.02.15 in Vol 3, No 1 (2015): Jan-Mar

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

Works citing "Validation of a Portable Device for Mapping Motor and Gait Disturbances in Parkinson’s Disease"

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.3321):

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

  1. Porciuncula F, Roto AV, Kumar D, Davis I, Roy S, Walsh CJ, Awad LN. Wearable Movement Sensors for Rehabilitation: A Focused Review of Technological and Clinical Advances. PM&R 2018;10(9):S220
    CrossRef
  2. 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
    CrossRef
  3. Almogren A. An automated and intelligent Parkinson disease monitoring system using wearable computing and cloud technology. Cluster Computing 2018;
    CrossRef
  4. Moridani MK, Shahrestani NGN. Linear and Nonlinear Analysis of Gait Motor Signal to Diagnose Parkinson’s Disease. International Journal of Bioscience, Biochemistry and Bioinformatics 2018;8(4):202
    CrossRef
  5. Bayés , Samá A, Prats A, Pérez-López C, Crespo-Maraver M, Moreno JM, Alcaine S, Rodriguez-Molinero A, Mestre B, Quispe P, de Barros AC, Castro R, Costa A, Annicchiarico R, Browne P, Counihan T, Lewy H, Vainstein G, Quinlan LR, Sweeney D, ÓLaighin G, Rovira J, Rodrigue z-Martin D, Cabestany J. A “HOLTER” for Parkinson’s disease: Validation of the ability to detect on-off states using the REMPARK system. Gait & Posture 2018;59:1
    CrossRef
  6. Silva de Lima AL, Evers LJ, Hahn T, de Vries NM, Daeschler M, Boroojerdi B, Terricabras D, Little MA, Bloem BR, Faber MJ. Impact of motor fluctuations on real-life gait in Parkinson’s patients. Gait & Posture 2018;62:388
    CrossRef
  7. Johansson D, Malmgren K, Alt Murphy M. Wearable sensors for clinical applications in epilepsy, Parkinson’s disease, and stroke: a mixed-methods systematic review. Journal of Neurology 2018;265(8):1740
    CrossRef
  8. Rodríguez-Molinero A, Samà A, Pérez-López C, Rodríguez-Martín D, Alcaine S, Mestre B, Quispe P, Giuliani B, Vainstein G, Browne P, Sweeney D, Quinlan LR, Moreno Arostegui JM, Bayes , Lewy H, Costa A, Annicchiarico R, Counihan T, Laighin G, Cabestany J. Analysis of Correlation between an Accelerometer-Based Algorithm for Detecting Parkinsonian Gait and UPDRS Subscales. Frontiers in Neurology 2017;8
    CrossRef
  9. Rodríguez-Martín D, Pérez-López C, Samà A, Català A, Moreno Arostegui J, Cabestany J, Mestre B, Alcaine S, Prats A, Cruz Crespo M, Bayés . A Waist-Worn Inertial Measurement Unit for Long-Term Monitoring of Parkinson’s Disease Patients. Sensors 2017;17(4):827
    CrossRef
  10. Samà A, Pérez-López C, Rodríguez-Martín D, Català A, Moreno-Aróstegui J, Cabestany J, de Mingo E, Rodríguez-Molinero A. Estimating bradykinesia severity in Parkinson's disease by analysing gait through a waist-worn sensor. Computers in Biology and Medicine 2017;84:114
    CrossRef
  11. Kassavetis P, Saifee TA, Roussos G, Drougkas L, Kojovic M, Rothwell JC, Edwards MJ, Bhatia KP. Developing a Tool for Remote Digital Assessment of Parkinson's Disease. Movement Disorders Clinical Practice 2016;3(1):59
    CrossRef
  12. Pérez-López C, Samà A, Rodríguez-Martín D, Català A, Cabestany J, Moreno-Arostegui J, de Mingo E, Rodríguez-Molinero A. Assessing Motor Fluctuations in Parkinson’s Disease Patients Based on a Single Inertial Sensor. Sensors 2016;16(12):2132
    CrossRef
  13. Shah N, Aleong R, So I. Novel Use of a Smartphone to Measure Standing Balance. JMIR Rehabilitation and Assistive Technologies 2016;3(1):e4
    CrossRef
  14. Rodríguez-Molinero A, Pérez-Martínez D, Gálvez-Barrón C, Hernández-Vara J, Martínez-Castrillo J, Álvarez R, de Fabregues O, Samà A, Pérez-López C, Romagosa J, Bregman J. Remote control of apomorphine infusion rate in Parkinson's disease: Real-time dose variations according to the patients' motor state. A proof of concept. Parkinsonism & Related Disorders 2015;21(8):996
    CrossRef
  15. Pan D, Dhall R, Lieberman A, Petitti DB. A Mobile Cloud-Based Parkinson’s Disease Assessment System for Home-Based Monitoring. JMIR mHealth and uHealth 2015;3(1):e29
    CrossRef
  16. Lieber B, Taylor BE, Appelboom G, McKhann G, Connolly ES. Motion Sensors to Assess and Monitor Medical and Surgical Management of Parkinson Disease. World Neurosurgery 2015;84(2):561
    CrossRef