Special Issue "Intelligent Sensing in Biomedical Applications"
Deadline for manuscript submissions: closed (31 May 2021).
Interests: neurophysiology; digital signal processing; biological systems modeling
Interests: digital signal processing; machine learning; computational intelligence
Special Issues, Collections and Topics in MDPI journals
At present, monitoring the course of the disease and the effect of therapy in clinical practice mostly depends on clinical scales and clinical impression. Such a description of the development of the patient’s condition is subject to intra-individual and inter-individual variability. In addition, such monitoring takes place only for a short time, mostly in the unnatural conditions of medical facilities. On the other hand, modern sensors enable increasingly accurate long-term monitoring of many important quantities. Reducing the variability of patient follow-up makes it possible to reduce the number of subjects in clinical trials and thus significantly reduce the cost of the studies. It also reduces the likelihood of false-negative results, thus saving the cost of developing new treatments. Smart sensor devices make it possible to acquire, process, and transmit data to users. Smart implants like orthopedic implants instrumented with strain gauges increase their lifespan. Retina implant systems using image sensors restore vision. Wearable body sensor networks comprising various types of sensors can monitor the course of vital variables for a long time, as well as the signal needed for therapeutic intervention. Biosensors enable the monitoring of physical activities. Results of machine learning methods contribute to the diagnosis of neurological disorders and the detection of tissue changes.
This Special Issue is addressed to all types of smart sensors designed for biomedical applications.
The topic of this Special Issue concerns the following areas of interest of the magazine: biosensors, sensor networks, smart/intelligent sensors, signal processing, data fusion, and deep learning in sensor systems.
Dr. Oldřich Vyšata
Prof. Dr. Aleš Procházka
Dr. Rafael Doležal
Manuscript Submission Information
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- smart implants
- smart biosensors
- sensor fusion
- motion monitoring
- machine learning
- signal processing