Maximizing Corrosion Resistance of HA+Ce Coated Mg Implants Using Random Forest and Whale Optimization Algorithm DOI Open Access
Zeinab Rajabi, Faramarz Afshar Taromi, Saeed Pourmahdian

et al.

Processes, Journal Year: 2024, Volume and Issue: 12(3), P. 490 - 490

Published: Feb. 28, 2024

In this paper, a hybrid three-stage methodology based on in vitro experiments, simulations, and metaheuristic optimization is presented to enhance the corrosion resistance of hydroxyapatite (HA)-coated magnesium implants biomedical applications. first stage, we add cerium (Ce) HA present new coating (named HA+Ce) improve corrosion. Then, various HA+Ce compounds with different factors (e.g., concentration, pH, immersion time, temperature) are generated their propensity for examined physiological environment using EIS DC polarization tests simulated body fluid solution. Eventually, comprehensive dataset comprising 1024 samples collected. second machine learning random forest (RF) used learn relation between input its resistance. third algorithm whale (WOA) utilized find best compound maximum resistance, while objective function WOA unseen solution estimated trained RF model. Finally, morphology composition inspected FE-SEM. According obtained results, an time 60 min, concentrations 0.9 Ce 1.2 HA, pH 4.1 solution, temperature 70 °C demonstrated highest level among all experiments simulations. The final optimized has 14,050 Ω·cm2, which resulted gain 14.9% compared HA-coated Mg implants.

Language: Английский

State-of-the-Art on Brain-Computer Interface Technology DOI Creative Commons
Jānis Pekša, Dmytro Mamchur

Sensors, Journal Year: 2023, Volume and Issue: 23(13), P. 6001 - 6001

Published: June 28, 2023

This paper provides a comprehensive overview of the state-of-the-art in brain–computer interfaces (BCI). It begins by providing an introduction to BCIs, describing their main operation principles and most widely used platforms. The then examines various components BCI system, such as hardware, software, signal processing algorithms. Finally, it looks at current trends research related use for medical, educational, other purposes, well potential future applications this technology. concludes highlighting some key challenges that still need be addressed before widespread adoption can occur. By presenting up-to-date assessment technology, will provide valuable insight into where field is heading terms progress innovation.

Language: Английский

Citations

58
Unraveling the potential of brain-computer interface technology in medical diagnostics and rehabilitation: A comprehensive literature review DOI
Rabie Α. Ramadan, Ahmed B. Altamimi

Health and Technology, Journal Year: 2024, Volume and Issue: 14(2), P. 263 - 276

Published: Feb. 13, 2024

Language: Английский

Citations

8
Classification algorithm for motor imagery fusing CNN and attentional mechanisms based on functional near-infrared spectroscopy brain image DOI
Xingbin Shi, Baojiang Li, Wenlong Wang

et al.

Cognitive Neurodynamics, Journal Year: 2024, Volume and Issue: 18(5), P. 2871 - 2881

Published: May 21, 2024

Language: Английский

Citations

2
An Isolated CNN Architecture for Classification of Finger-Tapping Tasks Using Initial Dip Images: A Functional Near-Infrared Spectroscopy Study DOI Creative Commons
Muhammad Umair Ali, Amad Zafar, Karam Dad Kallu

et al.

Bioengineering, Journal Year: 2023, Volume and Issue: 10(7), P. 810 - 810

Published: July 5, 2023

This work investigates the classification of finger-tapping task images constructed for initial dip duration hemodynamics (HR) associated with small brain area left motor cortex using functional near-infrared spectroscopy (fNIRS). Different layers (i.e., 16-layers, 19-layers, 22-layers, and 25-layers) isolated convolutional neural network (CNN) designed from scratch are tested to classify right-hand thumb little tasks. Functional t-maps tasks (thumb, little) were various durations (0.5 4 s a uniform interval 0.5 s) three gamma functions-based HR function. The results show that 22-layered CNN model yielded highest accuracy 89.2% less complexity in classifying fingers same dip. further demonstrated active two tapping highly different well classified compared generated delayed (14 s). study shows can be helpful future fNIRS-based diagnosis or cortical analysis abnormal cerebral oxygen exchange patients.

Language: Английский

Citations

2
State-of-the-Art fNIRS for Clinical Scenarios: A Brief Review DOI

Samandari Ali Mirdan,

Afonin Andrey Nikolaevich

Lecture notes in networks and systems, Journal Year: 2024, Volume and Issue: unknown, P. 177 - 191

Published: Jan. 1, 2024

Language: Английский

Citations

0
The possibility of unifying neural interfaces to create an integrated control system for prostheses: a brief review DOI

A. M. Samandari,

A. N. Afonin

Proceedings of the Southwest State University Series IT Management Computer Science Computer Engineering Medical Equipment Engineering, Journal Year: 2024, Volume and Issue: 14(2), P. 60 - 71

Published: June 28, 2024

The purpose of research . To date, neurointerfaces have not been unified to create combined prosthetic control systems. Based on this, this review is aimed at understanding the possibility integrating by clarifying advantages and disadvantages neurotechnologies related prosthetics possible creation a prosthesis system. Methods Analysis brain-computer interfaces available in literature combination with neuroimaging experiments, especially hybrid A number databases scientific were used for analysis, namely Google Scholar, scopus, etc. Links database data Internet: https://scholar.google.com/ , https://www.mdpi.com/journal/sensors, elibrary.ru, https://www.refseek.com, https://link.springer.com/ https://www.base-search.net Results Brain-computer are currently being wide variety fields, including improve lives people disabilities. However, individual neural certain that make it difficult use them mechanical devices, limbs. Hybrid interface systems (as an integrated software hardware complex) significantly superior those obtained using separate interfaces, these can be medical purposes. Conclusion This provides brief overview disability missing upper limbs how their prosthetics. analysis various methods brain given. It noted fNIRS technology closest facilitate integration since has tool complements other technologies, its up inherent fNIRS. established system clear advantage over interfaces.

Language: Английский

Citations

0
Maximizing Corrosion Resistance of HA+Ce Coated Mg Implants Using Random Forest and Whale Optimization Algorithm DOI Open Access
Zeinab Rajabi, Faramarz Afshar Taromi, Saeed Pourmahdian

et al.

Processes, Journal Year: 2024, Volume and Issue: 12(3), P. 490 - 490

Published: Feb. 28, 2024

In this paper, a hybrid three-stage methodology based on in vitro experiments, simulations, and metaheuristic optimization is presented to enhance the corrosion resistance of hydroxyapatite (HA)-coated magnesium implants biomedical applications. first stage, we add cerium (Ce) HA present new coating (named HA+Ce) improve corrosion. Then, various HA+Ce compounds with different factors (e.g., concentration, pH, immersion time, temperature) are generated their propensity for examined physiological environment using EIS DC polarization tests simulated body fluid solution. Eventually, comprehensive dataset comprising 1024 samples collected. second machine learning random forest (RF) used learn relation between input its resistance. third algorithm whale (WOA) utilized find best compound maximum resistance, while objective function WOA unseen solution estimated trained RF model. Finally, morphology composition inspected FE-SEM. According obtained results, an time 60 min, concentrations 0.9 Ce 1.2 HA, pH 4.1 solution, temperature 70 °C demonstrated highest level among all experiments simulations. The final optimized has 14,050 Ω·cm2, which resulted gain 14.9% compared HA-coated Mg implants.

Language: Английский

Citations

0