Published on in Vol 15, No 9 (2013): September

A Mobile and Ubiquitous Approach for Supporting Frailty Assessment in Elderly People

A Mobile and Ubiquitous Approach for Supporting Frailty Assessment in Elderly People

A Mobile and Ubiquitous Approach for Supporting Frailty Assessment in Elderly People

Journals

  1. Almogren A. RETRACTED ARTICLE: An automated and intelligent Parkinson disease monitoring system using wearable computing and cloud technology.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
  2. Morán A, Ramírez-Fernández C, Meza-Kubo V, Orihuela-Espina F, García-Canseco E, Grimaldo A, Sucar E. On the Effect of Previous Technological Experience on the Usability of a Virtual Rehabilitation Tool for the Physical Activation and Cognitive Stimulation of Elders. Journal of Medical Systems 2015;39(9) View
  3. Silva B, Rodrigues J, de la Torre Díez I, López-Coronado M, Saleem K. Mobile-health: A review of current state in 2015. Journal of Biomedical Informatics 2015;56:265 View
  4. Kim K, Gollamudi S, Steinhubl S. Digital technology to enable aging in place. Experimental Gerontology 2017;88:25 View
  5. Bravo J, Hervás R, Fontecha J, González I. m-Health: Lessons Learned by m-Experiences. Sensors 2018;18(5):1569 View
  6. Mugueta-Aguinaga I, Garcia-Zapirain B. Is Technology Present in Frailty? Technology a Back-up Tool for Dealing with Frailty in the Elderly: A Systematic Review. Aging and disease 2017;8(2):2005 View
  7. Klimova B, Valis M, Kuca K. Potential of mobile technologies and applications in the detection of mild cognitive impairment among older generation groups. Social Work in Health Care 2017;56(7):588 View
  8. Dasenbrock L, Heinks A, Schwenk M, Bauer J. Technology-based measurements for screening, monitoring and preventing frailty. Zeitschrift für Gerontologie und Geriatrie 2016;49(7):581 View
  9. George M, Smith A. Use of an Abbreviated Geriatric Screening Tool in the Assessment of Older Cancer Patients’ Functional Status, Dependency, and Comorbidities: Cross-Sectional Audit and Observations From a Regional Cancer Center in Australia. JMIR Cancer 2020;6(1):e16408 View
  10. Perkins R, Dassel K, Felsted K, Towsley G, Edelman L. Yoga for seniors: understanding their beliefs and barriers to participation. Educational Gerontology 2020;46(7):382 View
  11. Sapci A, Sapci H. Innovative Assisted Living Tools, Remote Monitoring Technologies, Artificial Intelligence-Driven Solutions, and Robotic Systems for Aging Societies: Systematic Review. JMIR Aging 2019;2(2):e15429 View
  12. Fontecha J, Hervás R, Mondéjar T, González I, Bravo J. Towards Context-Aware and User-Centered Analysis in Assistive Environments:. Journal of Medical Systems 2015;39(10) View
  13. Silva S, Felgueiras R, Oliveira I. Geriatric Helper: An mHealth Application to Support Comprehensive Geriatric Assessment. Sensors 2018;18(4):1285 View
  14. Zacharaki E, Deltouzos K, Kalogiannis S, Kalamaras I, Bianconi L, Degano C, Orselli R, Montesa J, Moustakas K, Votis K, Tzovaras D, Megalooikonomou V. FrailSafe: An ICT Platform for Unobtrusive Sensing of Multi-Domain Frailty for Personalized Interventions. IEEE Journal of Biomedical and Health Informatics 2020;24(6):1557 View
  15. Sampaio L, Castilho L, Carvalho G. Development of an application for mobile devices to evaluate the balance and risk of falls of the elderly. Revista Brasileira de Geriatria e Gerontologia 2017;20(6):805 View
  16. Gallucci A, Trimarchi P, Abbate C, Tuena C, Pedroli E, Lattanzio F, Stramba-Badiale M, Cesari M, Giunco F. ICT technologies as new promising tools for the managing of frailty: a systematic review. Aging Clinical and Experimental Research 2021;33(6):1453 View
  17. Keränen N, Kangas M, Immonen M, Similä H, Enwald H, Korpelainen R, Jämsä T. Use of Information and Communication Technologies Among Older People With and Without Frailty: A Population-Based Survey. Journal of Medical Internet Research 2017;19(2):e29 View
  18. Yan X, Rau P, Zhong R. Let Walking Rhythms Tell Your Work Fatigue: A Novel Approach for Work Fatigue Assessment among Young Adults (Preprint). Interactive Journal of Medical Research 2019 View
  19. Piau A, Charlon Y, Campo E, Vellas B, Nourhashemi F. A Smart Insole to Promote Healthy Aging for Frail Elderly Individuals: Specifications, Design, and Preliminary Results. JMIR Rehabilitation and Assistive Technologies 2015;2(1):e5 View
  20. Kabir M, Schulman D, Abdullah A. Promoting Relational Agent for Health Behavior Change in Low and Middle - Income Countries (LMICs): Issues and Approaches. Journal of Medical Systems 2019;43(7) View
  21. 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
  22. Rockwood K, McMillan M, Mitnitski A, Howlett S. A Frailty Index Based on Common Laboratory Tests in Comparison With a Clinical Frailty Index for Older Adults in Long-Term Care Facilities. Journal of the American Medical Directors Association 2015;16(10):842 View
  23. Muhammed T, Mehmood R, Albeshri A, Katib I. UbeHealth: A Personalized Ubiquitous Cloud and Edge-Enabled Networked Healthcare System for Smart Cities. IEEE Access 2018;6:32258 View
  24. Costa C, Anido-Rifon L, Fernandez-Iglesias M. An Open Architecture to Support Social and Health Services in a Smart TV Environment. IEEE Journal of Biomedical and Health Informatics 2017;21(2):549 View
  25. Linn N, Goetzinger C, Regnaux J, Schmitz S, Dessenne C, Fagherazzi G, Aguayo G. Digital Health Interventions among People Living with Frailty: A Scoping Review. Journal of the American Medical Directors Association 2021;22(9):1802 View
  26. Anabitarte-García F, Reyes-González L, Rodríguez-Cobo L, Fernández-Viadero C, Somonte-Segares S, Díez-del-Valle S, Mandaluniz E, García-García R, López-Higuera J. Early diagnosis of frailty: Technological and non-intrusive devices for clinical detection. Ageing Research Reviews 2021;70:101399 View
  27. Vavasour G, Giggins O, Doyle J, Kelly D. How wearable sensors have been utilised to evaluate frailty in older adults: a systematic review. Journal of NeuroEngineering and Rehabilitation 2021;18(1) View
  28. Kouroubali A, Kondylakis H, Logothetidis F, Katehakis D. Developing an AI-Enabled Integrated Care Platform for Frailty. Healthcare 2022;10(3):443 View
  29. Tobón D, Hossain M, Muhammad G, Bilbao J, Saddik A. Deep learning in multimedia healthcare applications: a review. Multimedia Systems 2022;28(4):1465 View
  30. Hommen J, Batista J, Bollheimer L, Hildebrand F, Laurentius T, Siebers H. Movement patterns during gait initiation in older adults with various stages of frailty: a biomechanical analysis. European Review of Aging and Physical Activity 2024;21(1) View
  31. Valdés-Aragonés M, Pérez-Rodríguez R, Carnicero J, Moreno-Sánchez P, Oviedo-Briones M, Villalba-Mora E, Abizanda-Soler P, Rodríguez-Mañas L. Effects of Monitoring Frailty Through a Mobile/Web-Based Application and a Sensor Kit to Prevent Functional Decline in Frail and Prefrail Older Adults: FACET (Frailty Care and Well Function) Pilot Randomized Controlled Trial. Journal of Medical Internet Research 2024;26:e58312 View

Books/Policy Documents

  1. . e-Health Systems. View
  2. LeMoyne R, Mastroianni T. Wearable and Wireless Systems for Healthcare I. View
  3. Fontecha J, Hervás R, Bravo J. Ambient Intelligence for Health. View
  4. LeMoyne R, Mastroianni T. Wireless MEMS Networks and Applications. View
  5. Gard P, Lalanne L, Ambourg A, Rousseau D, Lesueur F, Frindel C. Internet of Things (IoT) Technologies for HealthCare. View
  6. Klimova B. Mobile Web and Intelligent Information Systems. View
  7. Kwok L, Whitfield M, Fels-Leung S, Meza M, Fels D. Computers Helping People with Special Needs. View
  8. Huisingh-Scheetz M, Mir N, Madariaga M, Rubin D. Frailty. View
  9. LeMoyne R, Mastroianni T. Wearable and Wireless Systems for Healthcare I. View