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

mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1428) Mobile Health (mhealth) (2982) Ubiquitous Health (uHealth) (125) mHealth for Data Collection and Research (981)

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

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

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

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

Authors of this article:

Jacki Liddle1 Author Orcid Image ;   David Ireland2 ;   Simon J McBride2 ;   Sandra G Brauer3 ;   Leanne M Hall1, 3 ;   Hang Ding2 Author Orcid Image ;   Mohan Karunanithi2 ;   Paul W Hodges3 Author Orcid Image ;   Deborah Theodoros3 ;   Peter A Silburn1 ;   Helen J Chenery1
Article Authors Cited by (50) Tweetations (20) Metrics

Journals

  1. Takemoto M, Manini T, Rosenberg D, Lazar A, Zlatar Z, Das S, Kerr J. Diet and Activity Assessments and Interventions Using Technology in Older Adults. American Journal of Preventive Medicine 2018;55(4):e105 View
  2. Gilmartin C, Arbe-Barnes E, 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) View
  3. Pan D, Dhall R, Lieberman A, Petitti D. A Mobile Cloud-Based Parkinson’s Disease Assessment System for Home-Based Monitoring. JMIR mHealth and uHealth 2015;3(1):e29 View
  4. Giannouli E, Fillekes M, 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) View
  5. Giannouli E, Bock O, Mellone S, Zijlstra W. Mobility in Old Age: Capacity Is Not Performance. BioMed Research International 2016;2016:1 View
  6. Trifan A, Oliveira M, Oliveira J. Passive Sensing of Health Outcomes Through Smartphones: Systematic Review of Current Solutions and Possible Limitations. JMIR mHealth and uHealth 2019;7(8):e12649 View
  7. Stamford J, Schmidt P, Friedl K. 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 View
  8. Schneider R, Biglan K. The promise of telemedicine for chronic neurological disorders: the example of Parkinson's disease. The Lancet Neurology 2017;16(7):541 View
  9. 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;75(12):2361 View
  10. Rantakokko M, Iwarsson S, Slaug B, Nilsson M. Life-Space Mobility in Parkinson’s Disease: Associations with Motor and Non-Motor Symptoms. The Journals of Gerontology: Series A 2019;74(4):507 View
  11. Taylor J, Buchan I, van der Veer S. 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 View
  12. Almogren A. RETRACTED ARTICLE: An automated and intelligent Parkinson disease monitoring system using wearable computing and cloud technology. Cluster Computing 2019;22(S1):2309 View
  13. Fillekes M, 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 View
  14. Dorsey E, Omberg L, Waddell E, Adams J, Adams R, Ali M, Amodeo K, Arky A, Augustine E, Dinesh K, Hoque M, Glidden A, Jensen-Roberts S, Kabelac Z, Katabi D, Kieburtz K, Kinel D, Little M, Lizarraga K, Myers T, Riggare S, Rosero S, Saria S, Schifitto G, Schneider R, Sharma G, Shoulson I, Stevenson E, Tarolli C, Luo J, McDermott M. Deep Phenotyping of Parkinson’s Disease. Journal of Parkinson's Disease 2020;10(3):855 View
  15. 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 View
  16. 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 View
  17. Rush K, Oelke N, 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 View
  18. Schootman M, Nelson E, 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) View
  19. Fillekes M, 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 View
  20. 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
  21. Gluck S, Summers M, Goddard T, Andrawos A, Smith N, Lange K, Iwashyna T, Deane A. Wide Disagreement Between Alternative Assessments of Premorbid Physical Activity: Subjective Patient and Surrogate Reports and Objective Smartphone Data. Critical Care Medicine 2017;45(10):e1036 View
  22. 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 View
  23. Mitsi G, Mendoza E, Wissel B, Barbopoulou E, Dwivedi A, Tsoulos I, Stavrakoudis A, Espay A, 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 View
  24. Dorsey E, Glidden A, Holloway M, Birbeck G, Schwamm L. Teleneurology and mobile technologies: the future of neurological care. Nature Reviews Neurology 2018;14(5):285 View
  25. Nussbaum R, Kelly C, Quinby E, Mac A, Parmanto B, Dicianno B. Systematic Review of Mobile Health Applications in Rehabilitation. Archives of Physical Medicine and Rehabilitation 2019;100(1):115 View
  26. Gwaltney C, Coons S, O’Donohoe P, O’Gorman H, Denomey M, Howry C, Ross J. “Bring Your Own Device” (BYOD): The Future of Field-Based Patient-Reported Outcome Data Collection in Clinical Trials?. Therapeutic Innovation & Regulatory Science 2015;49(6):783 View
  27. Thorpe J, Forchhammer B, Maier A. Development of a Sensor-Based Behavioral Monitoring Solution to Support Dementia Care. JMIR mHealth and uHealth 2019;7(6):e12013 View
  28. 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 View
  29. Thorpe J, Forchhammer B, Maier A. Adapting Mobile and Wearable Technology to Provide Support and Monitoring in Rehabilitation for Dementia: Feasibility Case Series. JMIR Formative Research 2019;3(4):e12346 View
  30. Adams J, Lizarraga K, Waddell E, Myers T, Jensen-Roberts S, Modica J, Schneider R. Digital Technology in Movement Disorders: Updates, Applications, and Challenges. Current Neurology and Neuroscience Reports 2021;21(4) View
  31. Mardini M, Nerella S, Kheirkhahan M, Ranka S, Fillingim R, Hu Y, Corbett D, Cenko E, Weber E, Rashidi P, Manini T. The Temporal Relationship Between Ecological Pain and Life-Space Mobility in Older Adults With Knee Osteoarthritis: A Smartwatch-Based Demonstration Study. JMIR mHealth and uHealth 2021;9(1):e19609 View
  32. Hewston P, Grenier A, Burke E, Kennedy C, Papaioannou A. Frailty and Life-Space Mobility: Implications for Clinical Practice and Research. Occupational Therapy In Health Care 2021;35(1):16 View
  33. Schneider R, Omberg L, Macklin E, Daeschler M, Bataille L, Anthwal S, Myers T, Baloga E, Duquette S, Snyder P, Amodeo K, Tarolli C, Adams J, Callahan K, Gottesman J, Kopil C, Lungu C, Ascherio A, Beck J, Biglan K, Espay A, Tanner C, Oakes D, Shoulson I, Novak D, Kayson E, Ray Dorsey E, Mangravite L, Schwarzschild M, Simuni T. Design of a virtual longitudinal observational study in Parkinson’s disease (AT‐HOME PD). Annals of Clinical and Translational Neurology 2021;8(2):308 View
  34. Omberg L, Chaibub Neto E, Perumal T, Pratap A, Tediarjo A, Adams J, Bloem B, Bot B, Elson M, Goldman S, Kellen M, Kieburtz K, Klein A, Little M, Schneider R, Suver C, Tarolli C, Tanner C, Trister A, Wilbanks J, Dorsey E, Mangravite L. Remote smartphone monitoring of Parkinson’s disease and individual response to therapy. Nature Biotechnology 2022;40(4):480 View
  35. Liu W, Lin X, Chen X, Wang Q, Wang X, Yang B, Cai N, Chen R, Chen G, Lin Y. Vision-based estimation of MDS-UPDRS scores for quantifying Parkinson's disease tremor severity. Medical Image Analysis 2023;85:102754 View
  36. Zajac J, Cavanaugh J, Baker T, Colón-Semenza C, DeAngelis T, Duncan R, Fulford D, LaValley M, Nordahl T, Rawson K, Saint-Hilaire M, Thomas C, Earhart G, Ellis T. Are Mobile Persons With Parkinson Disease Necessarily More Active?. Journal of Neurologic Physical Therapy 2021;45(4):259 View
  37. Liddle J, Ireland D, Krysinska K, Harrison F, Lamont R, Karunanithi M, Kang K, Reppermund S, Sachdev P, Gustafsson L, Brauer S, Pachana N, Brodaty H. Lifespace metrics of older adults with mild cognitive impairment and dementia recorded via geolocation data. Australasian Journal on Ageing 2021;40(4) View
  38. Hirsch J, Winters M, Clarke P, McKay H. Generating GPS activity spaces that shed light upon the mobility habits of older adults: a descriptive analysis. International Journal of Health Geographics 2014;13(1) View
  39. Yang X, Fan Y, Xia D, Zou Y, Deng Y. Elderly Residents’ Uses of and Preferences for Community Outdoor Spaces during Heat Periods. Sustainability 2023;15(14):11264 View
  40. Gluck S, Chapple L, Chapman M, Iwashyna T, Deane A. A scoping review of use of wearable devices to evaluate outcomes in survivors of critical illness. Critical Care and Resuscitation 2017;19(3):197 View
  41. Adams J, Kangarloo T, Gong Y, Khachadourian V, Tracey B, Volfson D, Latzman R, Cosman J, Edgerton J, Anderson D, Best A, Kostrzebski M, Auinger P, Wilmot P, Pohlson Y, Jensen-Roberts S, Müller M, Stephenson D, Dorsey E, Adams J, Tarolli C, Waddell E, Soto J, Hogarth P, Wahedi M, Wakeman K, Espay A, Gunzler S, Kilbane C, Spindler M, Barrett M, Mari Z, Dumitrescu L, Wyant K, Chou K, Poon C, Simuni T, Williams K, Tanner N, Yilmaz E, Feuerstein J, Shprecher D, Feigin A, Botting E. Using a smartwatch and smartphone to assess early Parkinson’s disease in the WATCH-PD study over 12 months. npj Parkinson's Disease 2024;10(1) View

Books/Policy Documents

  1. Scott T, Liddle J, Pachana N. Dementia Rehabilitation. View
  2. Liddle J, Pachana N. Handbook of Active Ageing and Quality of Life. View
  3. Parrington L, Wilhelm J, Pettigrew N, Scanlan K, King L. Digital Health. View