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Citing this Article

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Published on 12.03.14 in Vol 2, No 1 (2014): Jan-Mar

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

Works citing "Measuring the Lifespace of People With Parkinson’s Disease Using Smartphones: Proof of Principle"

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.2799):

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

  1. Zhu L, Duval C, Boissy P, Montero-Odasso M, Zou G, Jog M, Speechley M, Newman A. Comparing GPS-Based Community Mobility Measures with Self-report Assessments in Older Adults with Parkinson’s Disease. The Journals of Gerontology: Series A 2020;
    CrossRef
  2. Dorsey ER, Omberg L, Waddell E, Adams JL, Adams R, Ali MR, Amodeo K, Arky A, Augustine EF, Dinesh K, Hoque ME, Glidden AM, Jensen-Roberts S, Kabelac Z, Katabi D, Kieburtz K, Kinel DR, Little MA, Lizarraga KJ, Myers T, Riggare S, Rosero SZ, Saria S, Schifitto G, Schneider RB, Sharma G, Shoulson I, Stevenson EA, Tarolli CG, Luo J, McDermott MP. Deep Phenotyping of Parkinson’s Disease. Journal of Parkinson's Disease 2020;:1
    CrossRef
  3. 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
  4. Thorpe J, Forchhammer BH, Maier AM. Adapting Mobile and Wearable Technology to Provide Support and Monitoring in Rehabilitation for Dementia: Feasibility Case Series. JMIR Formative Research 2019;3(4):e12346
    CrossRef
  5. Fillekes MP, Kim E, Trumpf R, Zijlstra W, Giannouli E, Weibel R. Assessing Older Adults’ Daily Mobility: A Comparison of GPS-Derived and Self-Reported Mobility Indicators. Sensors 2019;19(20):4551
    CrossRef
  6. Thorpe JR, Forchhammer BH, Maier AM. Development of a Sensor-Based Behavioral Monitoring Solution to Support Dementia Care. JMIR mHealth and uHealth 2019;7(6):e12013
    CrossRef
  7. Giannouli E, Fillekes MP, Mellone S, Weibel R, Bock O, Zijlstra W. Predictors of real-life mobility in community-dwelling older adults: an exploration based on a comprehensive framework for analyzing mobility. European Review of Aging and Physical Activity 2019;16(1)
    CrossRef
  8. Nussbaum R, Kelly C, Quinby E, Mac A, Parmanto B, Dicianno BE. Systematic Review of Mobile Health Applications in Rehabilitation. Archives of Physical Medicine and Rehabilitation 2019;100(1):115
    CrossRef
  9. Trifan A, Oliveira M, Oliveira JL. Passive Sensing of Health Outcomes Through Smartphones: Systematic Review of Current Solutions and Possible Limitations. JMIR mHealth and uHealth 2019;7(8):e12649
    CrossRef
  10. Liddle J, Sundraraj A, Ireland D, Bennett S, Stillerova T, Silburn P. Impact of deep brain stimulation on people with Parkinson’s disease: A mixed methods feasibility study exploring lifespace and community outcomes. Hong Kong Journal of Occupational Therapy 2019;32(2):97
    CrossRef
  11. Rantakokko M, Iwarsson S, Slaug B, Nilsson MH. Life-Space Mobility in Parkinson’s Disease: Associations with Motor and Non-Motor Symptoms. The Journals of Gerontology: Series A 2019;74(4):507
    CrossRef
  12. Taylor JK, Buchan IE, van der Veer SN. Assessing life-space mobility for a more holistic view on wellbeing in geriatric research and clinical practice. Aging Clinical and Experimental Research 2019;31(4):439
    CrossRef
  13. Almogren A. An automated and intelligent Parkinson disease monitoring system using wearable computing and cloud technology. Cluster Computing 2019;22(S1):2309
    CrossRef
  14. Fillekes MP, Röcke C, Katana M, Weibel R. Self-reported versus GPS-derived indicators of daily mobility in a sample of healthy older adults. Social Science & Medicine 2019;220:193
    CrossRef
  15. Dorsey ER, Glidden AM, Holloway MR, Birbeck GL, Schwamm LH. Teleneurology and mobile technologies: the future of neurological care. Nature Reviews Neurology 2018;14(5):285
    CrossRef
  16. Takemoto M, Manini TM, Rosenberg DE, Lazar A, Zlatar ZZ, Das SK, Kerr J. Diet and Activity Assessments and Interventions Using Technology in Older Adults. American Journal of Preventive Medicine 2018;55(4):e105
    CrossRef
  17. Gilmartin C, Arbe-Barnes EH, Diamond M, Fretwell S, McGivern E, Vlazaki M, Zhu L. Varsity medical ethics debate 2018: constant health monitoring - the advance of technology into healthcare. Philosophy, Ethics, and Humanities in Medicine 2018;13(1)
    CrossRef
  18. Rush KL, Oelke ND, Shay M, Pedersen C. Seeing the rural healthcare journeys of older adults with atrial fibrillation through a photographic lens. Chronic Illness 2017;13(3):204
    CrossRef
  19. Gluck S, Summers MJ, Goddard TP, Andrawos A, Smith NC, Lange K, Iwashyna TJ, Deane AM. Wide Disagreement Between Alternative Assessments of Premorbid Physical Activity. Critical Care Medicine 2017;45(10):e1036
    CrossRef
  20. Schneider RB, Biglan KM. The promise of telemedicine for chronic neurological disorders: the example of Parkinson's disease. The Lancet Neurology 2017;16(7):541
    CrossRef
  21. Mitsi G, Mendoza EU, Wissel BD, Barbopoulou E, Dwivedi AK, Tsoulos I, Stavrakoudis A, Espay AJ, Papapetropoulos S. Biometric Digital Health Technology for Measuring Motor Function in Parkinson’s Disease: Results from a Feasibility and Patient Satisfaction Study. Frontiers in Neurology 2017;8
    CrossRef
  22. Schootman M, Nelson EJ, Werner K, Shacham E, Elliott M, Ratnapradipa K, Lian M, McVay A. Emerging technologies to measure neighborhood conditions in public health: implications for interventions and next steps. International Journal of Health Geographics 2016;15(1)
    CrossRef
  23. Del Din S, Godfrey A, Mazzà C, Lord S, Rochester L. Free-living monitoring of Parkinson's disease: Lessons from the field. Movement Disorders 2016;31(9):1293
    CrossRef
  24. Giannouli E, Bock O, Mellone S, Zijlstra W. Mobility in Old Age: Capacity Is Not Performance. BioMed Research International 2016;2016:1
    CrossRef
  25. Liang P, Liddle J, Fleming J, Gustafsson L. Family members’ narratives of lifespace: Mapping changes before and after a brain injury causing driving disruption. Australian Occupational Therapy Journal 2016;63(3):164
    CrossRef
  26. Stamford JA, Schmidt PN, Friedl KE. What Engineering Technology Could Do for Quality of Life in Parkinson's Disease: A Review of Current Needs and Opportunities. IEEE Journal of Biomedical and Health Informatics 2015;19(6):1862
    CrossRef
  27. Gwaltney C, Coons SJ, O’Donohoe P, O’Gorman H, Denomey M, Howry C, Ross J. “Bring Your Own Device” (BYOD). Therapeutic Innovation & Regulatory Science 2015;49(6):783
    CrossRef
  28. 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
  29. Carter A, Liddle J, Hall W, Chenery H. Mobile Phones in Research and Treatment: Ethical Guidelines and Future Directions. JMIR mHealth and uHealth 2015;3(4):e95
    CrossRef