Validation of a Smartphone-Based Approach to In Situ Cognitive Fatigue Assessment

Journals

1. Yan X, Rau P, Zhong R. Leveraging Walking Performance to Understand Work Fatigue Among Young Adults: Mixed-Methods Study. Interactive Journal of Medical Research 2020;9(4):e16376 View
2. Weizenbaum E, Torous J, Fulford D. Cognition in Context: Understanding the Everyday Predictors of Cognitive Performance in a New Era of Measurement. JMIR mHealth and uHealth 2020;8(7):e14328 View
3. Zhang L, Huang Y, Zhang Y, Xin W, Shao Y, Yang Y. Enhanced high-frequency precuneus-cortical effective connectivity is associated with decreased sensory gating following total sleep deprivation. NeuroImage 2019;197:255 View
4. Lancaster C, Koychev I, Blane J, Chinner A, Wolters L, Hinds C. Evaluating the Feasibility of Frequent Cognitive Assessment Using the Mezurio Smartphone App: Observational and Interview Study in Adults With Elevated Dementia Risk. JMIR mHealth and uHealth 2020;8(4):e16142 View
5. Vergani L, Marton G, Pizzoli S, Monzani D, Mazzocco K, Pravettoni G. Training Cognitive Functions Using Mobile Apps in Breast Cancer Patients: Systematic Review. JMIR mHealth and uHealth 2019;7(3):e10855 View
6. Parrish E, Kamarsu S, Harvey P, Pinkham A, Depp C, Moore R. Remote Ecological Momentary Testing of Learning and Memory in Adults With Serious Mental Illness. Schizophrenia Bulletin 2021;47(3):740 View
7. Baker E, Dodson C. Prototype Development and Usability Evaluation of a Clinical Decision Support Tool for Pharmacogenomic Pharmacy in Practice. CIN: Computers, Informatics, Nursing 2021;39(7):362 View
8. Zhong R, Liao J, Xu Y. Fatigue assessment of sedentary office workers using smartphones: a preliminary study. International Journal of Occupational Safety and Ergonomics 2023;29(2):723 View
9. Price E, Moore G, Galway L, Linden M. Towards Mobile Cognitive Fatigue Assessment as Indicated by Physical, Social, Environmental, and Emotional Factors. IEEE Access 2019;7:116465 View
10. Díaz-García J, González-Ponce I, Ponce-Bordón J, López-Gajardo M, Ramírez-Bravo I, Rubio-Morales A, García-Calvo T. Mental Load and Fatigue Assessment Instruments: A Systematic Review. International Journal of Environmental Research and Public Health 2021;19(1):419 View
11. Ezekiel L, Veiga J, Ward T, Dawes H, Collett J. Exploring the usability of a smartphone application to monitor fatigue and activity for people with acquired brain injury. British Journal of Occupational Therapy 2023;86(11):767 View
12. Straßer T, Rothert I, Heine T, Peters T. AuReTim: an inexpensive and extensible open-source auditory psychomotor vigilance test. Frontiers in Sleep 2023;2 View
13. Perzl J, Riedl E, Thomas J. Measuring Situational Cognitive Performance in the Wild: A Psychometric Evaluation of Three Brief Smartphone-Based Test Procedures. Assessment 2024;31(6):1270 View
14. Han J, Zhang C, Cai Y, Li Y, Shang Y, Chen Z, Yang G, Song J, Su D, Bai K, Sun J, Liu Y, Liu N, Duan Y, Wang W. Neuroimaging features for cognitive fatigue and its recovery with VR intervention: An EEG microstates analysis. Brain Research Bulletin 2025;221:111223 View
15. Ma P, Pan C, Shen H, Shen W, Chen H, Zhang X, Xu S, Xu J, Su T. Monitoring nap deprivation-induced fatigue using fNIRS and deep learning. Cognitive Neurodynamics 2025;19(1) View

Books/Policy Documents

1. Sherry P, Owen J. Proceedings of the Future Technologies Conference (FTC) 2021, Volume 1. View

Conference Proceedings

1. Hantono B, Nugroho L, Santosa P. 2019 11th International Conference on Information Technology and Electrical Engineering (ICITEE). Estimating Cognitive Performance Changes Based on Psychophysiological Sensor in the Smartphone: A Proposed Model View