Application of Wearable Technology for Neurological Conditions
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".
Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 43644
Special Issue Editors
Interests: physiotherapy; neurological disorders; gait; balance; cognition
Special Issue Information
Dear colleagues,
Wearable technology is revolutionizing healthcare, providing a more tailored approach to both disease diagnosis and management. Within neurological conditions, wearable technology can provide a cost-effective tool throughout the disease course, including diagnosis and rehabilitation.
The uptake in the use of wearable technology by both patients and clinicians will have a huge impact on the future of healthcare. Wearable technology will help improve diagnosis, provide cost-effective and non-invasive assessment tools, increase specificity for diagnosis, monitor disease progression, and inform ongoing disease management.
This Special Issue focuses on the use of wearable technology within neurological conditions. We encourage the submission of papers that focus on the use of wearable technology for diagnosis, disease management, and outcome measures within populations suffering from Parkinson’s disease, dementia, multiple sclerosis, stroke, and spinal cord injury amongst others. We are also seeking submissions of manuscripts related to the keywords listed below.
Dr. Rosie Morris
Dr. Silvia Del Din
Guest Editors
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- Neurological disorders
- Movement disorders
- Health monitoring
- Movement/mobility
- Fall prevention
- Sleep
- Cognition
- Personalized medicine
- Remote monitoring
- Rehabilitation
- Disease management
- Gait analysis
- Balance
- Sensors
- Upper limb function
- Posture
- Physical activity
- Digital outcomes/digital health
- Functional tests
- Motor symptoms
- Cameras
- Pressure insoles