Published on in Vol 9, No 3 (2022): Jul-Sep
This is a member publication of University of Bristol (Jisc)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/36370, first published
.
![Acceptability of an In-home Multimodal Sensor Platform for Parkinson Disease: Nonrandomized Qualitative Study Acceptability of an In-home Multimodal Sensor Platform for Parkinson Disease: Nonrandomized Qualitative Study](https://asset.jmir.pub/assets/71bd8bb1c527be75078ece68e989ae94.png 480w,https://asset.jmir.pub/assets/71bd8bb1c527be75078ece68e989ae94.png 960w,https://asset.jmir.pub/assets/71bd8bb1c527be75078ece68e989ae94.png 1920w,https://asset.jmir.pub/assets/71bd8bb1c527be75078ece68e989ae94.png 2500w)
Journals
- Morgan C, Jameson J, Craddock I, Tonkin E, Oikonomou G, Isotalus H, Heidarivincheh F, McConville R, Tourte G, Kinnunen K, Whone A. Understanding how people with Parkinson's disease turn in gait from a real-world in-home dataset. Parkinsonism & Related Disorders 2022;105:114 View
- Morgan C, Tonkin E, Masullo A, Jovan F, Sikdar A, Khaire P, Mirmehdi M, McConville R, Tourte G, Whone A, Craddock I. A multimodal dataset of real world mobility activities in Parkinson’s disease. Scientific Data 2023;10(1) View
- Morgan C, Masullo A, Mirmehdi M, Isotalus H, Jovan F, McConville R, Tonkin E, Whone A, Craddock I. Automated Real-World Video Analysis of Sit-to-Stand Transitions Predicts Parkinson’s Disease Severity. Digital Biomarkers 2023:92 View
- Khoo L, Lim M, Chong C, McNaney R. Machine Learning for Multimodal Mental Health Detection: A Systematic Review of Passive Sensing Approaches. Sensors 2024;24(2):348 View
- 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
Books/Policy Documents
- Rochester L, Del Din S, Hu M, Morgan C, Carroll C. Digital Technologies in Movement Disorders. View