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

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 2021:1 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