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

Digital Health Reviews (1186) Digital Biomarkers and Digital Phenotyping (178) Ubiquitous Health (uHealth) (116) Dementia and Cognitive Decline (426)

Published on in Vol 21, No 8 (2019): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12785, first published .
Current State of Digital Biomarker Technologies for Real-Life, Home-Based Monitoring of Cognitive Function for Mild Cognitive Impairment to Mild Alzheimer Disease and Implications for Clinical Care: Systematic Review

Current State of Digital Biomarker Technologies for Real-Life, Home-Based Monitoring of Cognitive Function for Mild Cognitive Impairment to Mild Alzheimer Disease and Implications for Clinical Care: Systematic Review

Current State of Digital Biomarker Technologies for Real-Life, Home-Based Monitoring of Cognitive Function for Mild Cognitive Impairment to Mild Alzheimer Disease and Implications for Clinical Care: Systematic Review

Authors of this article:

Antoine Piau1, 2 Author Orcid Image ;   Katherine Wild2 Author Orcid Image ;   Nora Mattek2 Author Orcid Image ;   Jeffrey Kaye2 Author Orcid Image
Article Authors Cited by (126) Tweetations (9) Metrics

Journals

  1. Channa A, Popescu N, Ciobanu V. Wearable Solutions for Patients with Parkinson’s Disease and Neurocognitive Disorder: A Systematic Review. Sensors 2020;20(9):2713 View
  2. Nowrangi M. Neuropsychiatric Aspects of Alzheimer Dementia. Psychiatric Clinics of North America 2020;43(2):383 View
  3. Rawtaer I, Mahendran R, Kua E, Tan H, Tan H, Lee T, Ng T. Early Detection of Mild Cognitive Impairment With In-Home Sensors to Monitor Behavior Patterns in Community-Dwelling Senior Citizens in Singapore: Cross-Sectional Feasibility Study. Journal of Medical Internet Research 2020;22(5):e16854 View
  4. Wannheden C, Revenäs Å. How People with Parkinson's Disease and Health Care Professionals Wish to Partner in Care Using eHealth: Co-Design Study. Journal of Medical Internet Research 2020;22(9):e19195 View
  5. Radhakrishnan K, Kim M, Burgermaster M, Brown R, Xie B, Bray M, Fournier C. The potential of digital phenotyping to advance the contributions of mobile health to self-management science. Nursing Outlook 2020;68(5):548 View
  6. Thomas N, Beattie Z, Marcoe J, Wright K, Sharma N, Mattek N, Dodge H, Wild K, Kaye J. An Ecologically Valid, Longitudinal, and Unbiased Assessment of Treatment Efficacy in Alzheimer Disease (the EVALUATE-AD Trial): Proof-of-Concept Study. JMIR Research Protocols 2020;9(5):e17603 View
  7. Bonnechère B, Bier J, Van Hove O, Sheldon S, Samadoulougou S, Kirakoya-Samadoulougou F, Klass M. Age-Associated Capacity to Progress When Playing Cognitive Mobile Games: Ecological Retrospective Observational Study. JMIR Serious Games 2020;8(2):e17121 View
  8. Minen M, Gopal A, Sahyoun G, Stieglitz E, Torous J. The Functionality, Evidence, and Privacy Issues Around Smartphone Apps for the Top Neuropsychiatric Conditions. The Journal of Neuropsychiatry and Clinical Neurosciences 2021;33(1):72 View
  9. Piau A, Rumeau P, Nourhashemi F, Martin M. Information and Communication Technologies, a Promising Way to Support Pharmacotherapy for the Behavioral and Psychological Symptoms of Dementia. Frontiers in Pharmacology 2019;10 View
  10. Olson N, Albensi B. Race- and Sex-Based Disparities in Alzheimer’s Disease Clinical Trial Enrollment in the United States and Canada: An Indigenous Perspective. Journal of Alzheimer's Disease Reports 2020;4(1):325 View
  11. Kim K, Lee S, Choi J, Chin J, Lee B, Na D, Choi J. A Comprehensive Evaluation of the Process of Copying a Complex Figure in Early- and Late-Onset Alzheimer Disease: A Quantitative Analysis of Digital Pen Data. Journal of Medical Internet Research 2020;22(8):e18136 View
  12. Kernebeck S, Busse T, Böttcher M, Weitz J, Ehlers J, Bork U. Impact of mobile health and medical applications on clinical practice in gastroenterology. World Journal of Gastroenterology 2020;26(29):4182 View
  13. H. Birk R, Samuel G. Can digital data diagnose mental health problems? A sociological exploration of ‘digital phenotyping’. Sociology of Health & Illness 2020;42(8):1873 View
  14. Heintz H, Vahia I. Implementing adaptive technologies in dementia care: local solutions for a global problem. International Psychogeriatrics 2020;32(8):897 View
  15. Saner H, Knobel S, Schuetz N, Nef T. Contact-free sensor signals as a new digital biomarker for cardiovascular disease: chances and challenges. European Heart Journal - Digital Health 2020;1(1):30 View
  16. Berridge C, Demiris G, Kaye J. Domain Experts on Dementia-Care Technologies: Mitigating Risk in Design and Implementation. Science and Engineering Ethics 2021;27(1) View
  17. Pirker-Kees A, Baumgartner C. Wearables bei Demenzerkrankungen. Klinische Neurophysiologie 2021;52(01):25 View
  18. Hirtz C, O’Flynn R, Voisin P, Deville de Périère D, Lehmann S, Guedes S, Amado F, Ferreira R, Trindade F, Vitorino R. The potential impact of salivary peptides in periodontitis. Critical Reviews in Clinical Laboratory Sciences 2021;58(7):479 View
  19. Muurling M, de Boer C, Kozak R, Religa D, Koychev I, Verheij H, Nies V, Duyndam A, Sood M, Fröhlich H, Hannesdottir K, Erdemli G, Lucivero F, Lancaster C, Hinds C, Stravopoulos T, Nikolopoulos S, Kompatsiaris I, Manyakov N, Owens A, Narayan V, Aarsland D, Visser P. Remote monitoring technologies in Alzheimer’s disease: design of the RADAR-AD study. Alzheimer's Research & Therapy 2021;13(1) View
  20. Shaklai S, Gilad-Bachrach R, Yom-Tov E, Stern N. Detecting Impending Stroke From Cognitive Traits Evident in Internet Searches: Analysis of Archival Data. Journal of Medical Internet Research 2021;23(5):e27084 View
  21. Piau A, Steinmeyer Z, Charlon Y, Courbet L, Rialle V, Lepage B, Campo E, Nourhashemi F. A Smart Shoe Insole to Monitor Frail Older Adults’ Walking Speed: Results of Two Evaluation Phases Completed in a Living Lab and Through a 12-Week Pilot Study. JMIR mHealth and uHealth 2021;9(7):e15641 View
  22. Yemm H, Robinson D, Paddick S, Dotchin C, Goodson M, Narytnyk A, Poole M, Mc Ardle R. Instrumental Activities of Daily Living Scales to Detect Cognitive Impairment and Dementia in Low- and Middle-Income Countries: A Systematic Review. Journal of Alzheimer's Disease 2021;83(1):451 View
  23. Thomas N, Beattie Z, Riley T, Hofer S, Kaye J. Home-Based Assessment of Cognition and Health Measures: The Collaborative Aging Research Using Technology (CART) Initiative and International Collaborations. IEEE Instrumentation & Measurement Magazine 2021;24(6):68 View
  24. Quialheiro A, Figueiró T, Rech C, Marques L, Paiva K, Xavier A, d'Orsi E. Can internet use reduce the incidence of cognitive impairment? Analysis of the EpiFloripa Aging Cohort Study (2009–2019). Preventive Medicine 2022;154:106904 View
  25. Fuentes A, Amat C, Lozano-Rubí R, Frid S, Muñoz M, Escarrabill J, Grau-Corral I. mHealth Technology as a Help Tool during Breast Cancer Treatment: A Content Focus Group. International Journal of Environmental Research and Public Health 2023;20(5):4584 View
  26. Bonnechère B. Evaluation of Processing Speed of Different Cognitive Functions Across the Life Span Using Cognitive Mobile Games. Games for Health Journal 2022;11(2):132 View
  27. Ford E, Milne R, Curlewis K. Ethical issues when using digital biomarkers and artificial intelligence for the early detection of dementia. WIREs Data Mining and Knowledge Discovery 2023;13(3) View
  28. Gupta A. Digital Phenotyping in Clinical Neurology. Seminars in Neurology 2022;42(01):048 View
  29. Tannou T, Lihoreau T, Couture M, Giroux S, Wang R, Spalla G, Zarshenas S, Gagnon-Roy M, Aboujaoudé A, Yaddaden A, Morin L, Bier N. Is research on ‘smart living environments’ based on unobtrusive technologies for older adults going in circles? Evidence from an umbrella review. Ageing Research Reviews 2023;84:101830 View
  30. Montag C, Elhai J, Dagum P. On Blurry Boundaries When Defining Digital Biomarkers: How Much Biology Needs to Be in a Digital Biomarker?. Frontiers in Psychiatry 2021;12 View
  31. Schütz N, Knobel S, Botros A, Single M, Pais B, Santschi V, Gatica-Perez D, Buluschek P, Urwyler P, Gerber S, Müri R, Mosimann U, Saner H, Nef T. A systems approach towards remote health-monitoring in older adults: Introducing a zero-interaction digital exhaust. npj Digital Medicine 2022;5(1) View
  32. Ghadiri F, Naser Moghadasi A, Sahraian M. Telemedicine as a strategic intervention for cognitive rehabilitation in MS patients during COVID-19. Acta Neurologica Belgica 2022;122(1):23 View
  33. Muurling M, Reus L, de Boer C, Wessels S, Jagesar R, Vorstman J, Kas M, Visser P. Assessment of Social Behavior Using a Passive Monitoring App in Cognitively Normal and Cognitively Impaired Older Adults: Observational Study. JMIR Aging 2022;5(2):e33856 View
  34. König A, Mallick E, Tröger J, Linz N, Zeghari R, Manera V, Robert P. Measuring neuropsychiatric symptoms in patients with early cognitive decline using speech analysis. European Psychiatry 2021;64(1) View
  35. Ardelean A, Redolat R. Supporting Behavioral and Psychological Challenges in Alzheimer Using Technology: A Systematic Review. Activities, Adaptation & Aging 2024;48(1):21 View
  36. Robin J, Xu M, Kaufman L, Simpson W. Using Digital Speech Assessments to Detect Early Signs of Cognitive Impairment. Frontiers in Digital Health 2021;3 View
  37. Stringer G, Couth S, Heuvelman H, Bull C, Gledson A, Keane J, Rayson P, Sutcliffe A, Sawyer P, Zeng X, Montaldi D, Brown L, Leroi I. Assessment of non-directed computer-use behaviours in the home can indicate early cognitive impairment: A proof of principle longitudinal study. Aging & Mental Health 2023;27(1):193 View
  38. Yamada Y, Shinkawa K, Kobayashi M, Badal V, Glorioso D, Lee E, Daly R, Nebeker C, Twamley E, Depp C, Nemoto M, Nemoto K, Kim H, Arai T, Jeste D. Automated Analysis of Drawing Process to Estimate Global Cognition in Older Adults: Preliminary International Validation on the US and Japan Data Sets. JMIR Formative Research 2022;6(5):e37014 View
  39. Brai E, Tonacci A, Brugada-Ramentol V, D’Andrea F, Alberi L. Intercepting Dementia: Awareness and Innovation as Key Tools. Frontiers in Aging Neuroscience 2021;13 View
  40. Botros A, Schuetz N, Röcke C, Weibel R, Martin M, Müri R, Nef T. Eigenbehaviour as an Indicator of Cognitive Abilities. Sensors 2022;22(7):2769 View
  41. Yamasaki T, Kumagai S. Nonwearable Sensor-Based In-Home Assessment of Subtle Daily Behavioral Changes as a Candidate Biomarker for Mild Cognitive Impairment. Journal of Personalized Medicine 2021;12(1):11 View
  42. Goldsack J, Dowling A, Samuelson D, Patrick-Lake B, Clay I. Evaluation, Acceptance, and Qualification of Digital Measures: From Proof of Concept to Endpoint. Digital Biomarkers 2021;5(1):53 View
  43. Beattie Z, Miller L, Almirola C, Au-Yeung W, Bernard H, Cosgrove K, Dodge H, Gamboa C, Golonka O, Gothard S, Harbison S, Irish S, Kornfeld J, Lee J, Marcoe J, Mattek N, Quinn C, Reynolds C, Riley T, Rodrigues N, Sharma N, Siqueland M, Thomas N, Truty T, Wall R, Wild K, Wu C, Karlawish J, Silverberg N, Barnes L, Czaja S, Silbert L, Kaye J. The Collaborative Aging Research Using Technology Initiative: An Open, Sharable, Technology-Agnostic Platform for the Research Community. Digital Biomarkers 2020;4(Suppl. 1):100 View
  44. Chan L, Choi T, Lord S, Brodie M. Development and large-scale validation of the Watch Walk wrist-worn digital gait biomarkers. Scientific Reports 2022;12(1) View
  45. Whelan R, Barbey F, Cominetti M, Gillan C, Rosická A. Developments in scalable strategies for detecting early markers of cognitive decline. Translational Psychiatry 2022;12(1) View
  46. Godkin F, Turner E, Demnati Y, Vert A, Roberts A, Swartz R, McLaughlin P, Weber K, Thai V, Beyer K, Cornish B, Abrahao A, Black S, Masellis M, Zinman L, Beaton D, Binns M, Chau V, Kwan D, Lim A, Munoz D, Strother S, Sunderland K, Tan B, McIlroy W, Van Ooteghem K. Feasibility of a continuous, multi-sensor remote health monitoring approach in persons living with neurodegenerative disease. Journal of Neurology 2022;269(5):2673 View
  47. Hebert J, Filley C. Multisensory integration and white matter pathology: Contributions to cognitive dysfunction. Frontiers in Neurology 2022;13 View
  48. Vega J, Li M, Aguillera K, Goel N, Joshi E, Khandekar K, Durica K, Kunta A, Low C. Reproducible Analysis Pipeline for Data Streams: Open-Source Software to Process Data Collected With Mobile Devices. Frontiers in Digital Health 2021;3 View
  49. Chan A, Cohen R, Robinson K, Bhardwaj D, Gregson G, Jutai J, Millar J, Ríos Rincón A, Roshan Fekr A. Evidence and User Considerations of Home Health Monitoring for Older Adults: Scoping Review. JMIR Aging 2022;5(4):e40079 View
  50. Benge J, Kiselica A, Aguirre A, Hilsabeck R, Douglas M, Paydarfar D, Scullin M. Technology use and subjective cognitive concerns in older adults. Archives of Gerontology and Geriatrics 2023;106:104877 View
  51. Park J, Seo K, Kim S, Ryu H, Choi H. Early Screening of Mild Cognitive Impairment Through Hand Movement Analysis in Virtual Reality Based on Machine Learning: Screening of MCI Through Hand Movement in VR. Journal of Cognitive Intervention and Digital Health 2022;1(1):1 View
  52. De La Fabián R, Jiménez-Molina Á, Pizarro Obaid F. A critical analysis of digital phenotyping and the neuro-digital complex in psychiatry. Big Data & Society 2023;10(1):205395172211490 View
  53. Kumpik D, Santos-Rodriguez R, Selwood J, Coulthard E, Twomey N, Craddock I, Ben-Shlomo Y. A longitudinal observational study of home-based conversations for detecting early dementia: protocol for the CUBOId TV task. BMJ Open 2022;12(11):e065033 View
  54. Teh S, Rawtaer I, Tan H. Predictive Accuracy of Digital Biomarker Technologies for Detection of Mild Cognitive Impairment and Pre-Frailty Amongst Older Adults: A Systematic Review and Meta-Analysis. IEEE Journal of Biomedical and Health Informatics 2022;26(8):3638 View
  55. Nakaoku Y, Ogata S, Murata S, Nishimori M, Ihara M, Iihara K, Takegami M, Nishimura K. AI-Assisted In-House Power Monitoring for the Detection of Cognitive Impairment in Older Adults. Sensors 2021;21(18):6249 View
  56. Robin J, Harrison J, Kaufman L, Rudzicz F, Simpson W, Yancheva M. Evaluation of Speech-Based Digital Biomarkers: Review and Recommendations. Digital Biomarkers 2020;4(3):99 View
  57. Gielis K, Vanden Abeele M, Verbert K, Tournoy J, De Vos M, Vanden Abeele V. Detecting Mild Cognitive Impairment via Digital Biomarkers of Cognitive Performance Found in Klondike Solitaire: A Machine-Learning Study. Digital Biomarkers 2021;5(1):44 View
  58. Park Y, Go T, Hong S, Kim S, Han J, Kang Y, Kang D. Digital Biomarkers in Living Labs for Vulnerable and Susceptible Individuals: An Integrative Literature Review. Yonsei Medical Journal 2022;63(Suppl):S43 View
  59. Ferrario A, Luo M, Polsinelli A, Moseley S, Mehl M, Yordanova K, Martin M, Demiray B. Predicting Working Memory in Healthy Older Adults Using Real-Life Language and Social Context Information: A Machine Learning Approach. JMIR Aging 2022;5(1):e28333 View
  60. Gielis K, Vanden Abeele M, De Croon R, Dierick P, Ferreira-Brito F, Van Assche L, Verbert K, Tournoy J, Vanden Abeele V. Dissecting Digital Card Games to Yield Digital Biomarkers for the Assessment of Mild Cognitive Impairment: Methodological Approach and Exploratory Study. JMIR Serious Games 2021;9(4):e18359 View
  61. Ding Z, Lee T, Chan A. Digital Cognitive Biomarker for Mild Cognitive Impairments and Dementia: A Systematic Review. Journal of Clinical Medicine 2022;11(14):4191 View
  62. Oliva I, Losa J. Validation of the Computerized Cognitive Assessment Test: NNCT. International Journal of Environmental Research and Public Health 2022;19(17):10495 View
  63. Wang Y, Chen T, Wang C, Ogihara A, Ma X, Huang S, Zhou S, Li S, Liu J, Li K. A New Smart 2-Min Mobile Alerting Method for Mild Cognitive Impairment Due to Alzheimer’s Disease in the Community. Brain Sciences 2023;13(2):244 View
  64. Freytag J, Mishra R, Street R, Catic A, Dindo L, Kiefer L, Najafi B, Naik A. Using Wearable Sensors to Measure Goal Achievement in Older Veterans with Dementia. Sensors 2022;22(24):9923 View
  65. Schwab P, Karlen W. A Deep Learning Approach to Diagnosing Multiple Sclerosis from Smartphone Data. IEEE Journal of Biomedical and Health Informatics 2021;25(4):1284 View
  66. Karas M, Marinsek N, Goldhahn J, Foschini L, Ramirez E, Clay I. Predicting Subjective Recovery from Lower Limb Surgery Using Consumer Wearables. Digital Biomarkers 2020;4(Suppl. 1):73 View
  67. Josephy-Hernandez S, Norise C, Han J, Smith K. Survey on Acceptance of Passive Technology Monitoring for Early Detection of Cognitive Impairment. Digital Biomarkers 2020;5(1):9 View
  68. Liu Z, Zhang L, Wu J, Zheng Z, Gao J, Lin Y, Liu Y, Xu H, Zhou Y. Machine learning-based classification of circadian rhythm characteristics for mild cognitive impairment in the elderly. Frontiers in Public Health 2022;10 View
  69. Alfalahi H, Dias S, Khandoker A, Chaudhuri K, Hadjileontiadis L. A scoping review of neurodegenerative manifestations in explainable digital phenotyping. npj Parkinson's Disease 2023;9(1) View
  70. Lai H, Sodini C, Sze V, Heldt T. Individualized Tracking of Neurocognitive-State-Dependent Eye-Movement Features Using Mobile Devices. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2023;7(1):1 View
  71. Lawson L, Mc Ardle R, Wilson S, Beswick E, Karimi R, Slight S. Digital Endpoints for Assessing Instrumental Activities of Daily Living in Mild Cognitive Impairment: Systematic Review. Journal of Medical Internet Research 2023;25:e45658 View
  72. De Anda-Duran I, Hwang P, Popp Z, Low S, Ding H, Rahman S, Igwe A, Kolachalama V, Lin H, Au R. Matching science to reality: how to deploy a participant-driven digital brain health platform. Frontiers in Dementia 2023;2 View
  73. Khan S, Perkins A, Fuchita M, Holler E, Ortiz D, Boustani M, Khan B, Gao S. Development of a population‐level prediction model for intensive care unit (ICU) survivorship and mortality in older adults: A population‐based cohort study. Health Science Reports 2023;6(10) View
  74. Brem A, Kuruppu S, de Boer C, Muurling M, Diaz-Ponce A, Gove D, Curcic J, Pilotto A, Ng W, Cummins N, Malzbender K, Nies V, Erdemli G, Graeber J, Narayan V, Rochester L, Maetzler W, Aarsland D. Digital endpoints in clinical trials of Alzheimer’s disease and other neurodegenerative diseases: challenges and opportunities. Frontiers in Neurology 2023;14 View
  75. Oudin A, Maatoug R, Bourla A, Ferreri F, Bonnot O, Millet B, Schoeller F, Mouchabac S, Adrien V. Digital Phenotyping: Data-Driven Psychiatry to Redefine Mental Health. Journal of Medical Internet Research 2023;25:e44502 View
  76. Muurling M, Au-Yeung W, Beattie Z, Wu C, Dodge H, Rodrigues N, Gothard S, Silbert L, Barnes L, Steele J, Kaye J. Differences in Life Space Activity Patterns Between Older Adults With Mild Cognitive Impairment Living Alone or as a Couple: Cohort Study Using Passive Activity Sensing. JMIR Aging 2023;6:e45876 View
  77. Taylor B, Barboi C, Boustani M. Passive digital markers for Alzheimer's disease and other related dementias: A systematic evidence review. Journal of the American Geriatrics Society 2023;71(9):2966 View
  78. Arntz A, Weber F, Handgraaf M, Lällä K, Korniloff K, Murtonen K, Chichaeva J, Kidritsch A, Heller M, Sakellari E, Athanasopoulou C, Lagiou A, Tzonichaki I, Salinas-Bueno I, Martínez-Bueso P, Velasco-Roldán O, Schulz R, Grüneberg C. Technologies in Home-Based Digital Rehabilitation: Scoping Review. JMIR Rehabilitation and Assistive Technologies 2023;10:e43615 View
  79. Djenouri Y, Belbachir A, Cano A, Belhadi A. Spatio-temporal visual learning for home-based monitoring. Information Fusion 2024;101:101984 View
  80. Mc Ardle R, Jabbar K, Del Din S, Thomas A, Robinson L, Kerse N, Rochester L, Callisaya M. Using Digital Technology to Quantify Habitual Physical Activity in Community Dwellers With Cognitive Impairment: Systematic Review. Journal of Medical Internet Research 2023;25:e44352 View
  81. Hamrick P, Sanborn V, Ostrand R, Gunstad J. Lexical Speech Features of Spontaneous Speech in Older Persons With and Without Cognitive Impairment: Reliability Analysis. JMIR Aging 2023;6:e46483 View
  82. Kutlubaev M, Mustafina I, Lyutov O, Karimova G, Rakhmatullin A. Digital technologies in the assessment of neurological status. Zhurnal nevrologii i psikhiatrii im. S.S. Korsakova 2023;123(6):129 View
  83. Meskher H, Belhaouari S, Sharifianjazi F. Mini review about metal organic framework (MOF)-based wearable sensors: Challenges and prospects. Heliyon 2023;9(11):e21621 View
  84. Delaire L, Courtay A, Humblot J, Aubertin-Leheudre M, Mourey F, Racine A, Gilbert T, Niasse-Sy Z, Bonnefoy M. Implementation and Core Components of a Multimodal Program including Exercise and Nutrition in Prevention and Treatment of Frailty in Community-Dwelling Older Adults: A Narrative Review. Nutrients 2023;15(19):4100 View
  85. Kim S, Park J, Choi H, Loeser M, Ryu H, Seo K. Digital Marker for Early Screening of Mild Cognitive Impairment Through Hand and Eye Movement Analysis in Virtual Reality Using Machine Learning: First Validation Study. Journal of Medical Internet Research 2023;25:e48093 View
  86. Javed A, Saadia A, Mughal H, Gadekallu T, Rizwan M, Maddikunta P, Mahmud M, Liyanage M, Hussain A. Artificial Intelligence for Cognitive Health Assessment: State-of-the-Art, Open Challenges and Future Directions. Cognitive Computation 2023;15(6):1767 View
  87. Litchfield I, Glasby J, Parkinson S, Hocking L, Tanner D, Roe B, Bousfield J, Greco G. “Trying to Find People to Fit the Tech…”: A Qualitative Exploration of the Lessons Learnt Introducing Artificial Intelligence-Based Technology into English Social Care. Health & Social Care in the Community 2023;2023:1 View
  88. Chen L, Zhen W, Peng D. Research on digital tool in cognitive assessment: a bibliometric analysis. Frontiers in Psychiatry 2023;14 View
  89. Hantke N, Kaye J, Mattek N, Wu C, Dodge H, Beattie Z, Woltjer R, Ginsberg S. Correlating continuously captured home-based digital biomarkers of daily function with postmortem neurodegenerative neuropathology. PLOS ONE 2023;18(6):e0286812 View
  90. van der Flier W, de Vugt M, Smets E, Blom M, Teunissen C. Towards a future where Alzheimer’s disease pathology is stopped before the onset of dementia. Nature Aging 2023;3(5):494 View
  91. Lyall D, Kormilitzin A, Lancaster C, Sousa J, Petermann‐Rocha F, Buckley C, Harshfield E, Iveson M, Madan C, McArdle R, Newby D, Orgeta V, Tang E, Tamburin S, Thakur L, Lourida I, Llewellyn D, Ranson J. Artificial intelligence for dementia—Applied models and digital health. Alzheimer's & Dementia 2023;19(12):5872 View
  92. Wahlberg K, Winblad B, Cole A, Herring W, Ramsberg J, Torontali I, Visser P, Wimo A, Wollaert L, Jönsson L. People get ready! A new generation of Alzheimer's therapies may require new ways to deliver and pay for healthcare. Journal of Internal Medicine 2024;295(3):281 View
  93. Erickson C, Wexler A, Largent E. Alzheimer’s in the modern age: Ethical challenges in the use of digital monitoring to identify cognitive changes. Informatics for Health and Social Care 2024;49(1):1 View
  94. Popp Z, Low S, Igwe A, Rahman M, Kim M, Khan R, Oh E, Kumar A, De Anda‐Duran I, Ding H, Hwang P, Sunderaraman P, Shih L, Lin H, Kolachalama V, Au R. Shifting From Active to Passive Monitoring of Alzheimer Disease: The State of the Research. Journal of the American Heart Association 2024;13(2) View
  95. Spoladore D, Mondellini M, Mahroo A, Chicchi-Giglioli I, De Gaspari S, Di Lernia D, Riva G, Bellini E, Setola N, Sacco M. Smart Waiting Room: A Systematic Literature Review and a Proposal. Electronics 2024;13(2):388 View
  96. Huang L, Li Q, Lu Y, Pan F, Cui L, Wang Y, Miao Y, Chen T, Li Y, Wu J, Chen X, Jia J, Guo Q. Consensus on rapid screening for prodromal Alzheimer’s disease in China. General Psychiatry 2024;37(1):e101310 View
  97. Ambrosini E, Giangregorio C, Lomurno E, Moccia S, Milis M, Loizou C, Azzolino D, Cesari M, Cid Gala M, Galán de Isla C, Gomez-Raja J, Borghese N, Matteucci M, Ferrante S. Automatic Spontaneous Speech Analysis for the Detection of Cognitive Functional Decline in Older Adults: Multilanguage Cross-Sectional Study. JMIR Aging 2024;7:e50537 View
  98. Chudzik A, Śledzianowski A, Przybyszewski A. Machine Learning and Digital Biomarkers Can Detect Early Stages of Neurodegenerative Diseases. Sensors 2024;24(5):1572 View
  99. Milner T, Brown M, Jones C, Leung A, Brémault-Phillips S. Multidimensional digital biomarker phenotypes for mild cognitive impairment: considerations for early identification, diagnosis and monitoring. Frontiers in Digital Health 2024;6 View
  100. Koh V, Xuan L, Zhe T, Singh N, B. Matchar D, Chan A. Performance of digital technologies in assessing fall risks among older adults with cognitive impairment: a systematic review. GeroScience 2024;46(3):2951 View
  101. Petsani D, Santonen T, Merino-Barbancho B, Epelde G, Bamidis P, Konstantinidis E. Categorizing digital data collection and intervention tools in health and wellbeing living lab settings: A modified Delphi study. International Journal of Medical Informatics 2024;185:105408 View
  102. Qian L, Chan A, Cai J, Lewicke J, Gregson G, Lipsett M, Rios Rincón A. Evaluation of the accuracy of a UWB tracker for in-home positioning for older adults. Medical Engineering & Physics 2024;126:104155 View
  103. Grammatikopoulou M, Lazarou I, Alepopoulos V, Mpaltadoros L, Oikonomou V, Stavropoulos T, 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 View
  104. Li A, Xue C, Wu R, Wu W, Zhao J, Qiang Y. Unearthing Subtle Cognitive Variations: A Digital Screening Tool for Detecting and Monitoring Mild Cognitive Impairment. International Journal of Human–Computer Interaction 2024:1 View
  105. Zierer C, Behrendt C, Lepach-Engelhardt A. Digital biomarkers in depression: A systematic review and call for standardization and harmonization of feature engineering. Journal of Affective Disorders 2024;356:438 View
  106. Au-Yeung W, Liu Y, Hanna R, Gothard S, Rodrigues N, Leon Guerrero C, Beattie Z, Kaye J. Feasibility of Deploying Home-Based Digital Technology, Environmental Sensors, and Web-Based Surveys for Assessing Behavioral Symptoms and Identifying Their Precipitants in Older Adults: Longitudinal, Observational Study. JMIR Formative Research 2024;8:e53192 View
  107. Macias Alonso A, Hirt J, Woelfle T, Janiaud P, Hemkens L. Definitions of digital biomarkers: a systematic mapping of the biomedical literature. BMJ Health & Care Informatics 2024;31(1):e100914 View
  108. Bridges B, Taylor J, Weber J. Evaluation of the Parkinson’s Remote Interactive Monitoring System in a Clinical Setting: Usability Study. JMIR Human Factors 2024;11:e54145 View
  109. Park B, Kim Y, Park J, Choi H, Kim S, Ryu H, Seo K. Integrating Biomarkers From Virtual Reality and Magnetic Resonance Imaging for the Early Detection of Mild Cognitive Impairment Using a Multimodal Learning Approach: Validation Study. Journal of Medical Internet Research 2024;26:e54538 View
  110. Wieczorek K, Ananth S, Valazquez-Pimentel D. Acoustic biomarkers in asthma: a systematic review. Journal of Asthma 2024:1 View
  111. Kaya B, Oz S, Esenturk O. Application of fiber loop ringdown spectroscopy technique for a new approach to beta-amyloid monitoring for Alzheimer Disease’s early detection. Biomedical Physics & Engineering Express 2024;10(3):035037 View
  112. Yamaguchi M, Shetty V. Ultrasensitive detection of interleukin-6 enabled by three-dimensional spatial amplification. Sensors and Actuators Reports 2024;8:100213 View
  113. Paolillo E, Casaletto K, Clark A, Taylor J, Heuer H, Wise A, Dhanam S, Sanderson-Cimino M, Saloner R, Kramer J, Kornak J, Kremers W, Forsberg L, Appleby B, Bayram E, Bozoki A, Brushaber D, Darby R, Day G, Dickerson B, Domoto-Reilly K, Elahi F, Fields J, Ghoshal N, Graff-Radford N, G H Hall M, Honig L, Huey E, Lapid M, Litvan I, Mackenzie I, Masdeu J, Mendez M, Mester C, Miyagawa T, Naasan G, Pascual B, Pressman P, Ramos E, Rankin K, Rexach J, Rojas J, VandeVrede L, Wong B, Wszolek Z, Boeve B, Rosen H, Boxer A, Staffaroni A. Examining Associations Between Smartphone Use and Clinical Severity in Frontotemporal Dementia: Proof-of-Concept Study. JMIR Aging 2024;7:e52831 View
  114. Li A, Li J, Chai J, Wu W, Chaudhary S, Zhao J, Qiang Y. Detection of Mild Cognitive Impairment Through Hand Motor Function Under Digital Cognitive Test: Mixed Methods Study. JMIR mHealth and uHealth 2024;12:e48777 View

Books/Policy Documents

  1. Au R, Lin H, Kolachalama V. Alzheimer's Disease Drug Development. View
  2. Dorronzoro-Zubiete E, Rivera-Romero O, Giunti G, Sevillano J. Smart Home Technologies and Services for Geriatric Rehabilitation. View
  3. Carmi L, Abbas A, Schultebraucks K, Galatzer-Levy I. Mental Health in a Digital World. View
  4. Rochester L, Del Din S, Hu M, Morgan C, Carroll C. Digital Technologies in Movement Disorders. View
  5. Giannopoulou P, Vlamos P. GeNeDis 2022. View
  6. Koß J. Handbuch Digitale Gesundheitswirtschaft. View
  7. Paul S, Mancini M. Handbook of Digital Technologies in Movement Disorders. View
  8. Choy J, Dai R, Kong A, Wong G. Spoken Discourse Impairments in the Neurogenic Populations. View
  9. Erickson C, Largent E. Digital Health Care outside of Traditional Clinical Settings. View