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Volume 42
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Biol. Life Sci. Forum, 2025, IECBS 2024

The 4th International Electronic Conference on Brain Sciences (IECBS 2024)
Online | 23–25 October 2024

Volume Editor:
Stephen D. Meriney, University of Pittsburgh, USA

Number of Papers: 2
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Cover Story (view full-size image): The 4th International Electronic Conference on Brain Sciences (IECBS 2024) was organized by MDPI’s Brain Sciences and held on 23–25 October 2024 as an online event. Topics of the [...] Read more.
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5 pages, 500 KiB  
Proceeding Paper
Visualization of Multichannel Surface Electromyography as a Map of Muscle Component Activation
by Alisa E. Pozdnyakova, Galina K. Savon, Leleko P. Lev, Maxim E. Baltin, Yan R. Bravyy and Dmitriy A. Onishchenko
Biol. Life Sci. Forum 2025, 42(1), 1; https://doi.org/10.3390/blsf2025042001 - 20 Mar 2025
Viewed by 171
Abstract
The study of muscle activation patterns using surface electromyography (sEMG) provides critical insights into muscle coordination, enabling advancements in prosthetics, robotics, and rehabilitation by improving intuitive control, replicating human movements, and developing targeted therapeutic strategies. The study involved 15 healthy participants aged 20–27, [...] Read more.
The study of muscle activation patterns using surface electromyography (sEMG) provides critical insights into muscle coordination, enabling advancements in prosthetics, robotics, and rehabilitation by improving intuitive control, replicating human movements, and developing targeted therapeutic strategies. The study involved 15 healthy participants aged 20–27, using Trigno Avanti sensors to record sEMG signals from forearm muscles during specific gestures, with data processed into activation maps to analyze muscle activity and coordination for applications in rehabilitation and prosthetics. The results revealed distinct muscle activation patterns for each gesture, highlighting precise muscle coordination, with specific muscles like m. flexor carpi ulnaris and m. extensor digitorum showing varying levels of involvement depending on the movement, while m. brachioradialis remained inactive across all gestures. The study’s findings enhance our understanding of motor control by revealing specific muscle activation patterns for different hand gestures, highlighting the selectivity of muscle coordination, and suggesting avenues for future research to improve prosthetic design and rehabilitation strategies. Full article
(This article belongs to the Proceedings of The 4th International Electronic Conference on Brain Sciences (IECBS 2024))
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11 pages, 366 KiB  
Proceeding Paper
Simulating Brain Chaos Through Electrical Circuits †
by Kaouther Selmi, Kods Bachta and Kais Bouallegue
Biol. Life Sci. Forum 2025, 42(1), 2; https://doi.org/10.3390/blsf2025042002 - 24 Mar 2025
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Abstract
Understanding the intricate and dynamic nature of brain disorders, such as epilepsy, Parkinson’s disease, and schizophrenia, presents a formidable challenge due to their inherent chaotic properties, which defy conventional analytical approaches. In response to this challenge, our research introduces a groundbreaking methodology aimed [...] Read more.
Understanding the intricate and dynamic nature of brain disorders, such as epilepsy, Parkinson’s disease, and schizophrenia, presents a formidable challenge due to their inherent chaotic properties, which defy conventional analytical approaches. In response to this challenge, our research introduces a groundbreaking methodology aimed at simulating the chaotic behavior characteristic of these neurological conditions using advanced electrical circuit models. By conceptualizing the interactions among neurons and synapses as electrical components within our model, we endeavor to unravel the complex underlying mechanisms driving these disorders. Leveraging insights from chaos theory and drawing upon the rich toolkit of electrical engineering, our simulation framework offers a novel perspective on the ways in which disruptions within neural circuits manifest as pathological states, shedding light on the intricate dynamics of brain diseases. Through rigorous numerical simulations and thorough analysis, we illustrate the efficacy of our approach in deciphering the chaotic dynamics inherent in these disorders, thus laying the foundation for the development of innovative therapeutic interventions. Furthermore, our research underscores the paramount importance of fostering interdisciplinary collaboration between the fields of neuroscience and electrical engineering; as such, synergistic partnerships hold the key to unlocking new frontiers in understanding and effectively treating complex neurological disorders, thus paving the way for improved patient outcomes and enhanced quality of life. Full article
(This article belongs to the Proceedings of The 4th International Electronic Conference on Brain Sciences (IECBS 2024))
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