Continuous Real-Life Cognitive Impairment Assessment with Wearable Sensors
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Wearables".
Deadline for manuscript submissions: closed (1 December 2021) | Viewed by 642
Special Issue Editors
2. Department of Computer Science, Holon Institute of Technology, Holon 5810201, Israel
Interests: biomedical engineering; machine learning; neuroscience; digital signal processing; computational biology
Special Issues, Collections and Topics in MDPI journals
2. Chair of Department, Shaar Menashe Mental Health Center, Hadera, Israel
Interests: Psychiatry; neuroscience; EEG; neural network; medical diagnostics
Special Issue Information
Dear Colleagues,
Accurate assessment of cognitive functionality and impairment plays an important role in diagnostics of neurodegenerative diseases like Alzheimer’s and Parkinson’s, in mental diseases like schizophrenia and depression, in postoperational events like post- anesthesia care, and to estimate the effects of aging. Continuous assessment of the cognitive functionality and impairment assist in monitoring the disease progression and adopting the treatment in real-life environments. Traditionally the subject had to visit the clinic, fill surveys, perform different tasks, perform a physiological parameters examination in the lab, and sometimes do brain imaging with rarely available facilities like CT and MRI. In recent years, with the development of advanced, affordable, and seamless wearable sensors, equipped with computational resources and access to the cloud, the task of remote monitoring and diagnostics of patient condition became more feasible. The scope of this Special Issue is to publish the most updated research in the field of wearables to enable monitoring and diagnostics of cognitive functionality and impairment over time in real-life environments while performing daily life activities. The topic focuses on utilizing existing or new wearable sensors, on advanced data analytics using machine learning, and on smart clinical applications that together can produce a continuous reliable measure of the subject’s cognitive impairment. The sensing can be performed by, but is not limited to, wearable sensors that measure physiological parameters like electrocardiograms and respiration, ones that can assess subject activity like inertial sensors, and ones that assess directly the cognitive related brain signals, like wearable EEG sensors.
Dr. Gaddi Blumrosen
Prof. Dr. Abraham Peled
Dr. Katsuyuki Sakuma
Guest Editors
Manuscript Submission Information
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Keywords
- Wearables
- Parkinson’s
- Alzheimer’s
- Depression
- Mental disease
- Anesthesia
- Feedback
- IMU
- EEG
- Behavior
