Biomedical Signal Processing for the Diagnosis and Monitoring of Motor Disorders
A special issue of Biosensors (ISSN 2079-6374).
Deadline for manuscript submissions: closed (31 December 2019) | Viewed by 25634
Special Issue Editors
Interests: biomedical signal processing; EMG; retina image analysis; thermal imaging; hyperspectral imaging
Special Issues, Collections and Topics in MDPI journals
Interests: sensors; biosensors; crystalline materials; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The successful management of neurological disorders, such as Parkinson’s disease (PD) or similar disorders, requires the early detection of the disease. There are no objective biomarkers and patients are evaluated by clinicians, which can lead to a delayed diagnosis, and the outcomes can be biased and dependent on the clinicians. This limits the objectivity of monitoring the progression of the disease as well as the effectiveness of treatment. There is an urgent need for quantifying human movement that can be suitable for the diagnosis and monitoring of such a disease.
Significant efforts are being made to develop devices that can sense human movement and muscle activity, which can be used for the diagnosis of a range of motor disorders. With the advancement of electronics and wireless technologies, a number of inexpensive devices, such as inertial movement units and accelerometers, are now available that can monitor human movement; digital tablets can record the fine motor control; while surface electromyogram devices can record the muscle activity.
The aim of this Special Issue is to bring together researchers working with the different modalities and looking at different aspects of the problem. We invite research papers that describe methods to process, analyze, and classify the recordings from these devices in order to diagnose and monitor neuro and motor diseases such as PD, post-stroke, and cerebral palsy, as well as similar disorders. We recognize that this research is multi-disciplinary and we invite researchers from clinical, engineering, scientific, and mathematical disciplines to submit their manuscripts. Regular length and short papers may be submitted, in accordance with the general guidelines of the journal.
Prof. Dinesh K Kumar
Prof. Marimuthu Palaniswami
Guest Editors
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Keywords
- IMU
- EMG
- Parkinson’s disease
- stroke
- cerebral palsy
- gait
- falls
- injury
- arthritis
- myopathy
- neuropathy
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