Lots of description, but I see nothing concrete that will help survivors, so useless.
Supervised Learning with Muscle Re-education of
Hemiparesis patients: A review
Journal of Pharmaceutical Negative Results ¦ Volume 13 ¦ Special Issue 6 ¦ 2022 2953
Nishigandha Bodhankar1, Vishnu Vardhan2
1BPT Student, Ravi Nair Physiotherapy College, Datta Meghe Institute of Medical Sciences (Deemed to be University), Sawangi(Me ghe), Wardha,
Maharashtra, India.
2Professor and HOD, Department of Cardiorespiratory Physiotherapy, Ravi Nair Physiotherapy College, Datta Meghe Institute of M edical Sciences,
Sawangi (Meghe), Wardha, Maharashtra, India.
Email: nishigandhabodhankar@gmail.com
DOI: 10.47750/pnr.2022.13.S06.390
Background:
Nishigandha Bodhankar1, Vishnu Vardhan2
1BPT Student, Ravi Nair Physiotherapy College, Datta Meghe Institute of Medical Sciences (Deemed to be University), Sawangi(Me ghe), Wardha,
Maharashtra, India.
2Professor and HOD, Department of Cardiorespiratory Physiotherapy, Ravi Nair Physiotherapy College, Datta Meghe Institute of M edical Sciences,
Sawangi (Meghe), Wardha, Maharashtra, India.
Email: nishigandhabodhankar@gmail.com
DOI: 10.47750/pnr.2022.13.S06.390
Background:
The focus of this article is on muscle re-education approaches using supervised learning programs. This also includes a discussion of whether or not this strategy is beneficial and convenient to utilize. Thereof a deficiency of resources and population-scale demands, following in-home rehabilitation, continues to be a question. Stroke is the main cause of hemiparesis, the creation of individualized
classification methods, involving neural network-based algorithms, to identify rehabilitation activities completed by stroke patients. Wearable sensors based on accelerometry can be worn on both the upper and lower limbs, during therapy to capture movement data. Numerous techniques of supervised learning have been discovered useful in the processing of multimedia content and in machine learning
lot of research, activity accounts for supervised learning.To help patients learn and grasp the training, a virtual reality game-based program can be created.
Keywords: supervised learning, machine learning, muscle, re-education, hemiparesis, stroke, paralysis, activities of daily living, strength,
balance, robot, wearable sensors.
INTRODUCTION
Liu B. et al conducted a study,supervised learning is a machine learning action that implicates comprehending a process that transforms an input into an output using samples of input-output pairs (SL).This type of learning is analogous to how individuals develop new knowledge and improve their capacity to perform real-world activities by learning from their previous experiences 1-15.
Muscle re-education is the process of using suitable therapy procedures to restore normal or near-normal function to an injured or denervated muscle or muscle with a loss of control. Stroke is one of the most common causes of long-term disability in stroke survivors. Mobility difficulties, language problems, and paralysis hurts one's quality of life16-25.
Hemiparesis is a condition where the arms, legs, and facial muscles can all be affected by this illness, which causes muscle weakness on one side of the body.While stroke is the most prevalent cause of hemiparesis, brain damage from trauma or head injuries, and cancer-related brain tumors, can also induce muscle weakness.There are a variety of re-educational therapies available to help restore the strength and balance of the patient26-30.
After Stroke, motor impairment is the most common deficit. Hemiparesis following a stroke has been shown to limit the muscle mass available for contraction during physical exercise, and weakness in the lower limb impairs mobility. This muscular
weakness has a poor impact on balance, which, in turn, has a bad impact on health. Falls are more likely to occur as a result of this.
classification methods, involving neural network-based algorithms, to identify rehabilitation activities completed by stroke patients. Wearable sensors based on accelerometry can be worn on both the upper and lower limbs, during therapy to capture movement data. Numerous techniques of supervised learning have been discovered useful in the processing of multimedia content and in machine learning
lot of research, activity accounts for supervised learning.To help patients learn and grasp the training, a virtual reality game-based program can be created.
Keywords: supervised learning, machine learning, muscle, re-education, hemiparesis, stroke, paralysis, activities of daily living, strength,
balance, robot, wearable sensors.
INTRODUCTION
Liu B. et al conducted a study,supervised learning is a machine learning action that implicates comprehending a process that transforms an input into an output using samples of input-output pairs (SL).This type of learning is analogous to how individuals develop new knowledge and improve their capacity to perform real-world activities by learning from their previous experiences 1-15.
Muscle re-education is the process of using suitable therapy procedures to restore normal or near-normal function to an injured or denervated muscle or muscle with a loss of control. Stroke is one of the most common causes of long-term disability in stroke survivors. Mobility difficulties, language problems, and paralysis hurts one's quality of life16-25.
Hemiparesis is a condition where the arms, legs, and facial muscles can all be affected by this illness, which causes muscle weakness on one side of the body.While stroke is the most prevalent cause of hemiparesis, brain damage from trauma or head injuries, and cancer-related brain tumors, can also induce muscle weakness.There are a variety of re-educational therapies available to help restore the strength and balance of the patient26-30.
After Stroke, motor impairment is the most common deficit. Hemiparesis following a stroke has been shown to limit the muscle mass available for contraction during physical exercise, and weakness in the lower limb impairs mobility. This muscular
weakness has a poor impact on balance, which, in turn, has a bad impact on health. Falls are more likely to occur as a result of this.
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