Intelligent Electromyograph for Early Detection of Myopathy and Neuropathy Using EMG Signals and Neural Network Model

Aguiar-Salazar, Evelyn; Cerón-Andrade, Bryan; Valenzuela-Guerra, Andrea; Negrete-Bolagay, Daniela; Fiallos-Ayala, Xiomira; Suntaxi-Dominguez, Diego; Villalba-Meneses, Fernando; Tirado-Espín, Andrés; Almeida-Galárraga, Diego

doi:10.1007/978-3-031-18272-3_3

Cited by 5 publications

(1 citation statement)

References 21 publications

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“…For such cases, it would have been convenient to spend more time without glasses, but the patients' vision without glasses was too low. In the topographic image, curvature values were found in the central area close to 63.00 D and 300 mm of curvature [39,40]. This is classified as grade IV keratoconus according to the Amsler Krumeich scale, and it produces high corneal eccentricity in areas of ectasia [40].…”

Section: Discussionmentioning

confidence: 95%

Biomechanical Study of the Eye with Keratoconus-Type Corneal Ectasia Using a 3D Geometric Model

Sánchez-Real,

Otuna-Hernández,

Fajardo-Cabrera

et al. 2023

Applied Sciences

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Keratoconus is an eye disease that distorts the shape of the cornea. This study aimed to analyze the effect of an increase in intraocular pressure applied to eyes with different severity of keratoconus disease using patient-specific models. Finite element models of the normal eye, eye with keratoconus, and eye with keratoglobus were constructed. The loading conditions considered the intraocular pressure increment as well as their physiological intraocular pressure. The analysis was performed with distinct materials for normal and keratoconic eyes. The finite element analysis revealed differences in the three models in terms of their deformation and maximum principal stress, and differences were observed in corneal curvature and thickness. These findings could enhance research in the biomechanical area, leading to more successful treatment options and a more individualized approach in the field of practical ophthalmology. Further investigation with larger sample sizes and more precise data on eye material would allow us to evaluate whether these disparities could inform the diagnosis of keratoconus.

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Section: Discussionmentioning

confidence: 95%

Biomechanical Study of the Eye with Keratoconus-Type Corneal Ectasia Using a 3D Geometric Model

Sánchez-Real,

Otuna-Hernández,

Fajardo-Cabrera

et al. 2023

Applied Sciences

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Comparative Analysis of Neural Networks and Data Processing Techniques for Parkinson’s Gait Classification

Reyes,

Andaluz,

Troya

et al. 2024

Lecture Notes in Networks and Systems

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Evaluation of Approaches for Early Stroke Detection and Diagnosis Using EMG Data: Features, Techniques, and Challenges

Chile-Agada,

Ochei,

Egbono

2024

IJIIS

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This paper provides a thorough analysis of the use of electromyography (EMG) data in early stroke diagnosis and detection. Stroke continues to be a major global cause of disability and death, which emphasises the critical need for an accurate diagnosis made quickly to improve patient outcomes. Early detection is still difficult to achieve, even with improvements in medical imaging and testing technologies. By detecting minute variations in muscle activity linked to stroke symptoms, EMG data analysis offers a viable method for early stroke identification. The review delves into the diverse methodologies and strategies utilised to leverage EMG data for the purpose of stroke diagnosis, encompassing the application of deep learning models and machine learning algorithms. The paper proposes a structured framework for classifying approaches for early stroke detection and diagnosis using EMG data, providing a systematic way to categorize and compare different methodologies. The paper concludes by highlighting the revolutionary potential of EMG-based techniques in improving the diagnosis of strokes earlier and urging more study to address current issues and make clinical application easier.

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Intelligent Electromyograph for Early Detection of Myopathy and Neuropathy Using EMG Signals and Neural Network Model

Cited by 5 publications

References 21 publications

Biomechanical Study of the Eye with Keratoconus-Type Corneal Ectasia Using a 3D Geometric Model

Biomechanical Study of the Eye with Keratoconus-Type Corneal Ectasia Using a 3D Geometric Model

Comparative Analysis of Neural Networks and Data Processing Techniques for Parkinson’s Gait Classification

Evaluation of Approaches for Early Stroke Detection and Diagnosis Using EMG Data: Features, Techniques, and Challenges

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