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Citing this Article

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Published on 21.07.14 in Vol 16, No 7 (2014): July

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

Works citing "A Web-Based Non-Intrusive Ambient System to Measure and Classify Activities of Daily Living"

Reto A Stucki, Prabitha Urwyler, Luca Rampa, René Müri, Urs P Mosimann, Tobias Nef

J Med Internet Res 2014 (Jul 21); 16(7):e175 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.3465):

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

  1. Teipel S, König A, Hoey J, Kaye J, Krüger F, Robillard JM, Kirste T, Babiloni C. Use of nonintrusive sensor‐based information and communication technology for real‐world evidence for clinical trials in dementia. Alzheimer's & Dementia 2018;14(9):1216
    CrossRef
  2. Piau A, Lepage B, Bernon C, Gleizes M, Nourhashemi F. Real-Time Detection of Behavioral Anomalies of Older People Using Artificial Intelligence (The 3-PEGASE Study): Protocol for a Real-Life Prospective Trial. JMIR Research Protocols 2019;8(11):e14245
    CrossRef
  3. Liu Y, Ouyang D, Liu Y, Chen R. A Novel Approach Based on Time Cluster for Activity Recognition of Daily Living in Smart Homes. Symmetry 2017;9(10):212
    CrossRef
  4. Brown EL, Ruggiano N, Li J, Clarke PJ, Kay ES, Hristidis V. Smartphone-Based Health Technologies for Dementia Care: Opportunities, Challenges, and Current Practices. Journal of Applied Gerontology 2019;38(1):73
    CrossRef
  5. Lazarou I, Stavropoulos TG, Meditskos G, Andreadis S, Kompatsiaris I, Tsolaki M. Long-Term Impact of Intelligent Monitoring Technology on People with Cognitive Impairment: An Observational Study. Journal of Alzheimer's Disease 2019;70(3):757
    CrossRef
  6. Romero-Ayuso D, Castillero-Perea , González P, Navarro E, Molina-Massó JP, Funes MJ, Ariza-Vega P, Toledano-González A, Triviño-Juárez JM. Assessment of cognitive instrumental activities of daily living: a systematic review. Disability and Rehabilitation 2021;43(10):1342
    CrossRef
  7. Nef T, Urwyler P, Büchler M, Tarnanas I, Stucki R, Cazzoli D, Müri R, Mosimann U. Evaluation of Three State-of-the-Art Classifiers for Recognition of Activities of Daily Living from Smart Home Ambient Data. Sensors 2015;15(5):11725
    CrossRef
  8. Moussa Y, Mahdanian AA, Yu C, Segal M, Looper KJ, Vahia IV, Rej S. Mobile Health Technology in Late-Life Mental Illness: A Focused Literature Review. The American Journal of Geriatric Psychiatry 2017;25(8):865
    CrossRef
  9. Urwyler P, Stucki R, Rampa L, Müri R, Mosimann UP, Nef T. Cognitive impairment categorized in community-dwelling older adults with and without dementia using in-home sensors that recognise activities of daily living. Scientific Reports 2017;7(1)
    CrossRef
  10. . Wearable Sensors for Assisted Living in Elderly People. Frontiers in ICT 2018;5
    CrossRef
  11. Husebo BS, Heintz HL, Berge LI, Owoyemi P, Rahman AT, Vahia IV. Sensing Technology to Monitor Behavioral and Psychological Symptoms and to Assess Treatment Response in People With Dementia. A Systematic Review. Frontiers in Pharmacology 2020;10
    CrossRef
  12. König A, Crispim-Junior CF, Covella AGU, Bremond F, Derreumaux A, Bensadoun G, David R, Verhey F, Aalten P, Robert P. Ecological Assessment of Autonomy in Instrumental Activities of Daily Living in Dementia Patients by the Means of an Automatic Video Monitoring System. Frontiers in Aging Neuroscience 2015;7
    CrossRef
  13. Novais P, Carneiro D. The role of non-intrusive approaches in the development of people-aware systems. Progress in Artificial Intelligence 2016;5(3):215
    CrossRef
  14. Shin Y, Park YJ, Kang SJ. Data-Driven Knowledge-Based System for Self-Measuring Activities of Daily Living in IoT-Based Test. Applied Sciences 2020;10(14):4972
    CrossRef
  15. Botros A, Schütz N, Camenzind M, Urwyler P, Bolliger D, Vanbellingen T, Kistler R, Bohlhalter S, Müri RM, Mosimann UP, Nef T. Long-Term Home-Monitoring Sensor Technology in Patients with Parkinson’s Disease—Acceptance and Adherence. Sensors 2019;19(23):5169
    CrossRef
  16. Mitchell LL, Peterson CM, Rud SR, Jutkowitz E, Sarkinen A, Trost S, Porta CM, Finlay JM, Gaugler JE. “It’s Like a Cyber-Security Blanket”: The Utility of Remote Activity Monitoring in Family Dementia Care. Journal of Applied Gerontology 2020;39(1):86
    CrossRef
  17. 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
  18. Urwyler P, Rampa L, Stucki R, Büchler M, Müri R, Mosimann UP, Nef T. Recognition of activities of daily living in healthy subjects using two ad-hoc classifiers. BioMedical Engineering OnLine 2015;14(1)
    CrossRef
  19. Aumayr G, Bleier DM, Sturm N. Requirements and Pitfalls in AAL Projects. Guide to Self-Criticism for Developers from Experience. Informatics 2017;4(4):42
    CrossRef
  20. Gerka A, Eichelberg M, Stolle C, Tietjen-Müller C, Brinkmann-Gerdes S, Hein A. Interconnected living in a quarter for persons with dementia. Informatics for Health and Social Care 2020;45(3):255
    CrossRef
  21. Pais B, Buluschek P, DuPasquier G, Nef T, Schütz N, Saner H, Gatica-Perez D, Santschi V. Evaluation of 1-Year in-Home Monitoring Technology by Home-Dwelling Older Adults, Family Caregivers, and Nurses. Frontiers in Public Health 2020;8
    CrossRef
  22. Stavropoulos TG, Lazarou I, Diaz A, Gove D, Georges J, Manyakov NV, Pich EM, Hinds C, Tsolaki M, Nikolopoulos S, Kompatsiaris I. Wearable Devices for Assessing Function in Alzheimer's Disease: A European Public Involvement Activity About the Features and Preferences of Patients and Caregivers. Frontiers in Aging Neuroscience 2021;13
    CrossRef
  23. Camp N, Lewis M, Hunter K, Johnston J, Zecca M, Di Nuovo A, Magistro D. Technology Used to Recognize Activities of Daily Living in Community-Dwelling Older Adults. International Journal of Environmental Research and Public Health 2020;18(1):163
    CrossRef
  24. Lim Y, Baek Y, Kang SJ, Kang K, Lee H. Clinical application of the experimental ADL test for patients with cognitive impairment: pilot study. Scientific Reports 2021;11(1)
    CrossRef
  25. Xefteris S, Doulamis N, Andronikou V, Varvarigou T, Cambourakis G. Behavioral Biometrics in Assisted Living: A Methodology for Emotion Recognition. Engineering, Technology & Applied Science Research 2016;6(4):1035
    CrossRef
  26. Mizuno J, Sadohara K, Nihei M, Onaka S, Nishiura Y, Inoue T. The application of an information support robot to reduce agitation in an older adult with Alzheimer’s disease living alone in a community dwelling: a case study. Hong Kong Journal of Occupational Therapy 2021;34(1):50
    CrossRef
  27. Muurling M, de Boer C, Kozak R, Religa D, Koychev I, Verheij H, Nies VJM, Duyndam A, Sood M, Fröhlich H, Hannesdottir K, Erdemli G, Lucivero F, Lancaster C, Hinds C, Stravopoulos TG, Nikolopoulos S, Kompatsiaris I, Manyakov NV, Owens AP, Narayan VA, Aarsland D, Visser PJ. Remote monitoring technologies in Alzheimer’s disease: design of the RADAR-AD study. Alzheimer's Research & Therapy 2021;13(1)
    CrossRef
  28. Lazarou I, Stavropoulos TG, Mpaltadoros L, Nikolopoulos S, Koumanakos G, Tsolaki M, Kompatsiaris I. Human Factors and Requirements of People with Cognitive Impairment, Their Caregivers, and Healthcare Professionals for mHealth Apps Including Reminders, Games, and Geolocation Tracking: A Survey-Questionnaire Study. Journal of Alzheimer's Disease Reports 2021;5(1):497
    CrossRef
  29. Sharma N, Brinke JK, Gemert-Pijnen JEWCV, Braakman-Jansen LMA. Implementation of Unobtrusive Sensing Systems for Older Adult Care: Scoping Review. JMIR Aging 2021;4(4):e27862
    CrossRef
  30. Mohan P, Lee B, Chaspari T, Ahn CR. Assessment of Daily Routine Uniformity in a Smart Home Environment Using Hierarchical Clustering. IEEE Journal of Biomedical and Health Informatics 2021;25(8):3197
    CrossRef
  31. Yang C, Wang L, Hu H, Dong X, Wang Y, Yang F, Silvestre SM. Montreal Cognitive Assessment: Seeking a Single Cutoff Score May Not Be Optimal. Evidence-Based Complementary and Alternative Medicine 2021;2021:1
    CrossRef
  32. Sheikhtaheri A, Sabermahani F, Tripathy RK. Applications and Outcomes of Internet of Things for Patients with Alzheimer’s Disease/Dementia: A Scoping Review. BioMed Research International 2022;2022:1
    CrossRef
  33. Camp N, Johnston J, Lewis MGC, Zecca M, Di Nuovo A, Hunter K, Magistro D. Perceptions of In-home Monitoring Technology for Activities of Daily Living: Semistructured Interview Study With Community-Dwelling Older Adults. JMIR Aging 2022;5(2):e33714
    CrossRef
  34. Augusto JC, Quinde MJ, Oguego CL, Giménez Manuel J. Context-Aware Systems Architecture (CaSA). Cybernetics and Systems 2022;53(4):319
    CrossRef
  35. Areàn PA, Hoa Ly K, Andersson G. Mobile technology for mental health assessment. Dialogues in Clinical Neuroscience 2016;18(2):163
    CrossRef
  36. . Activity discovery using Dirichlet multinomial mixture models from discrete sensor data in smart homes. Personal and Ubiquitous Computing 2022;26(5):1255
    CrossRef
  37. Alimoradi S, Gao X. Intelligence Complements from the Built Environment: A Review of Cps-Enabled Smart Buildings for Cognitively Declined Occupants. SSRN Electronic Journal 2022;
    CrossRef
  38. Gao X, Alimoradi S, Chen J, Hu Y, Tang S. Assistance from the Ambient Intelligence: Cyber–physical​ system applications in smart buildings for cognitively declined occupants. Engineering Applications of Artificial Intelligence 2023;123:106431
    CrossRef
  39. Machado SD, Tavares JEDR, Barbosa JLV. Technologies for monitoring patients with Alzheimer’s disease: A systematic mapping study and taxonomy. Journal of Ambient Intelligence and Smart Environments 2024;16(1):3
    CrossRef
  40. Narayan A, Goncharova M, Goncharov M, Gostine A, Shah NR, Kaplan RM. Continuous monitoring of eating and sleeping behaviors in the home environments of older adults: a case study demonstration. Frontiers in Public Health 2024;11
    CrossRef
  41. Khoo LS, Lim MK, Chong CY, McNaney R. Machine Learning for Multimodal Mental Health Detection: A Systematic Review of Passive Sensing Approaches. Sensors 2024;24(2):348
    CrossRef
  42. Giannios G, Mpaltadoros L, Alepopoulos V, Grammatikopoulou M, Stavropoulos TG, Nikolopoulos S, Lazarou I, Tsolaki M, Kompatsiaris I. A Semantic Framework to Detect Problems in Activities of Daily Living Monitored through Smart Home Sensors. Sensors 2024;24(4):1107
    CrossRef
  43. Grammatikopoulou M, Lazarou I, Alepopoulos V, Mpaltadoros L, Oikonomou VP, Stavropoulos TG, Nikolopoulos S, Kompatsiaris I, Tsolaki M. Assessing the cognitive decline of people in the spectrum of AD by monitoring their activities of daily living in an IoT-enabled smart home environment: a cross-sectional pilot study. Frontiers in Aging Neuroscience 2024;16
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.3465):

  1. Queirós A, Santos M, Dias A, da Rocha NP. Usability, Accessibility and Ambient Assisted Living. 2018. Chapter 3:49
    CrossRef
  2. Queirós A, da Rocha NP. Usability, Accessibility and Ambient Assisted Living. 2018. Chapter 2:13
    CrossRef
  3. Wouters E, van der Zijpp T, Nieboer M. (B)eHealth. 2017. Chapter 4:35
    CrossRef
  4. . Human Aspects of IT for the Aged Population. Social Media, Games and Assistive Environments. 2019. Chapter 30:383
    CrossRef
  5. Borda A, Said C, Gilbert C, Smolenaers F, McGrath M, Gray K. Recent Advances in Intelligent Assistive Technologies: Paradigms and Applications. 2020. Chapter 7:165
    CrossRef
  6. . Exploring Future Opportunities of Brain-Inspired Artificial Intelligence. 2023. chapter 6:84
    CrossRef