Adaptive Neurostimulation: Innovative Strategies for Stimulation
A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biosignal Processing".
Deadline for manuscript submissions: 31 October 2024 | Viewed by 718
Special Issue Editor
Interests: biomedical signal and image processing and classification; biophysical modelling; clinical studies; mathematical biology and physiology; noninvasive monitoring of the volemic status of patients; nonlinear biomedical signal processing; optimal non-uniform down-sampling; systems for human–machine interaction
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleague,
Over the last two decades, neurostimulation has solicited solid interest among the scientific community. Defined as a treatment involving either one or multiple stimulations (e.g., auditive, mechanical, or electrical), this technique finds several medical applications. Treating epilepsy, psychiatric disorders, and chronic pain are just a few examples.
Even though neurostimulation is mostly associated with transcranial magnetic stimulation (TMS), vagus nerve stimulation (VNS), and deep brain stimulation (DBS), researchers are working on new treatments that exploit other sources to adapt the stimuli in a closed-loop system. For this purpose, biological signals such as electroencephalogram (EEG), pupillogram, electrocardiogram (ECG), and breathing rhythm can be used.
Because most of the neurostimulation techniques are based on fixed stimulation, posing a limitation to personalized treatments, this Special Issue aims to explore innovative solutions based on closed-loop approaches that exploit physiological parameters.
Topics of interest include, but are not limited to, the following:
- Real-time and offline neurostimulation solutions;
- Techniques based on artificial intelligence (AI) algorithms;
- Multi-sensor approaches to optimize the closed-loop strategy;
- Solutions based on physiological data acquired through wearable devices;
- Therapeutic applications.
Dr. Luca Mesin
Guest Editor
Matteo Raggi
Guest Editor Assistant
Department of Electronics and Telecommunications, Politecnico di Torino, Turin, Italy
Email: [email protected]
Website: https://www.polito.it/personale?p=098271
Interests: biomedical devices and applications
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Keywords
- neurostimulation
- closed-loop stimulation
- adaptive stimulation
- sustained attention
- working memory
- meditation
- relaxation
- stress
- mindfulness
- epilepsy
- psychiatric disorders
- ADHD
- transcranial direct current stimulation
- transcranial alternating current stimulation
- binaural beats
- light pulse stimulation
- EEG
- ECG
- pupillogram
- breath monitoring
- real time processing
- EEG rhythms
- complexity
- entropy
- heart rate variability
