Abnormal gait classification in children with cerebral palsy using convLSTM hybrid model and GAN
Y Kavya, SS Reka - IEEE Access, 2024 - ieeexplore.ieee.org
Abnormal gait patterns are a common feature of Cerebral Palsy, a neurodevelopmental
disease for which early identification is essential for treatment. In the proposed research, a …
disease for which early identification is essential for treatment. In the proposed research, a …
Shallow learning vs. deep learning in engineering applications
In this chapter, the application of machine learning (ML) in various engineering domains has
ushered in transformative advancements, offering solutions to intricate problems and paving …
ushered in transformative advancements, offering solutions to intricate problems and paving …
A systematic review on machine learning approaches in cerebral palsy research
Background This review aims to explore advances in the field of cerebral palsy (CP)
focusing on machine learning (ML) models. The objectives of this study is to analyze the …
focusing on machine learning (ML) models. The objectives of this study is to analyze the …
[HTML][HTML] Comparison of Lower Limb Joint Reaction Forces in Patients with Cerebral Palsy and Typically Develo** Individuals
YM Dincel, AN Kidwai, K Atmaca, NA Sozener… - Medicina, 2025 - mdpi.com
Background and Objectives: Kinematic and kinetic data from gait analysis are commonly
used for clinical decision making in cerebral palsy (CP). However, these data may not fully …
used for clinical decision making in cerebral palsy (CP). However, these data may not fully …
Estimating Ground Reaction Forces from Gait Kinematics in Cerebral Palsy: A Convolutional Neural Network Approach
Purpose While gait analysis is essential for assessing neuromotor disorders like cerebral
palsy (CP), capturing accurate ground reaction force (GRF) measurements during natural …
palsy (CP), capturing accurate ground reaction force (GRF) measurements during natural …
Prediction of Joint Moments from Kinematics Using Machine Learning in Children with Congenital Talipes Equino Varus and Typically Develo** Peers
R Kothurkar, M Gad, A Padate, C Rathod… - Journal of …, 2024 - Elsevier
Background Understanding joint loading and the crucial role of joint moments is essential for
develo** treatment strategies in gait analysis, which often requires the precise estimation …
develo** treatment strategies in gait analysis, which often requires the precise estimation …
Machine learning approaches for predicting Ankle Dorsi Plantar Moments in Cerebral Palsy gait analysis: A comparative study
Methods With the ethical approval (S-227/2021), anonymized retrospective gait data from
329 typically developed individuals and 917 CP patients, comprising kinematic and kinetic …
329 typically developed individuals and 917 CP patients, comprising kinematic and kinetic …
Estimating ground reaction forces from gait kinematics in cerebral palsy: A convolutional neural network approach
Purpose While gait analysis is essential for assessing neuromotor disorders like cerebral
palsy (CP), capturing accurate ground reaction force (GRF) measurements during natural …
palsy (CP), capturing accurate ground reaction force (GRF) measurements during natural …
Experimental Evaluation of Cerebral Palsy Recognition based on MRI Scan Images using Advanced Learning Assisted Prediction Principle
The loss of movement in addition to mental wellbeing is a characteristic of cerebral palsy, a
neurological illness that can have Perinatal and prenatal/postnatal causes. This proposal …
neurological illness that can have Perinatal and prenatal/postnatal causes. This proposal …
Evaluating feasibility of lower extremity joint moments predicted by an artificial intelligence model during walking in patients with cerebral palsy
Several studies have highlighted the advantages of employing artificial intelligence (AI)
models in gait analysis. However, the practicality of AI models into clinical gait routines …
models in gait analysis. However, the practicality of AI models into clinical gait routines …