A Model for the Management of Gait Syndrome in Huntington's Disease Patient

Ajibola, O.O.E.; Ibidapo-Obe, O.; Oiunloyo, V. O. S.

doi:10.1166/jbic.2014.1067

Cited by 2 publications

(4 citation statements)

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“…However, electroconvulsive based therapies for other prime diseases such as seizures and muscular contractions experienced during child birth have not yielded positive results. Unlike Parkinsonism, symptomatic treatment of Huntington's chorea is chiefly done by drug administration [7,17]. The ultimate goal of our study is to achieve the simulation model for the phenomenon which precipitates the gait syndrome in HD.…”

Section: Resultsmentioning

confidence: 99%

“…Other attributes of the disease are cognitive decline and psychiatric impairment. It often develops early, gradually worsening and plateauing in late stages [7]. Motor dysfunction, including chorea, decrease in functional capacity, particularly in early HD.…”

Section: Introductionmentioning

confidence: 99%

“…The pathophysiology and neurochemical bases of HD are complex and incompletely understood. Dopamine and glutamate transmission and interactions are affected, contributing to striatal and cortical vulnerability featuring such presentations as chorea, [1,7,8]. Most agents investigated for HD chorea target the neuro transmitters and receptors, [9,10,11].…”

Section: Introductionmentioning

confidence: 99%

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MODELLING GAIT SYNDROME IN HUNTINGTONâ€™S DISEASE: THE GENETIC ALGORITHM APPROACH

Ajibola

Ogunwolu

2017

Nig. J. Tech.

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Huntingtonâ€™s disease (HD) which usually affects the patients at middle age results from malfunctioning of the basal ganglia. It is characterized by cognitive impairment, involuntary movements, neuropsychiatric and psychological disturbances. Early motor signs of Huntingtonâ€™s disease typically include the gradual onset of clumsiness, balance difficulties, and brief, random, fidgeting movements. A popular approach to solving symptoms arising from HD has been through the administration of drugs. But drugs debase human activities, thus the application of electroconvulsive therapy. This work proposes a genetic algorithmic (GA) simulation of chorea in HD patient as a pedestal for the design of a therapeutic device aimed at managing the phenomenon. Earlier efforts have led us to the formulation of such models in recent past. We also compared the GA model with our foremost effort: the electromechanical model, and we observe that the GA model adequately capture the physiological presentation of gait phenomenon in Huntingtonâ€™s disease.Â http://dx.doi.org/10.4314/njt.v36i3.37

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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MODELLING GAIT SYNDROME IN HUNTINGTONâ€™S DISEASE: THE GENETIC ALGORITHM APPROACH

Ajibola

Ogunwolu

2017

Nig. J. Tech.

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“…However, the basic mechanism of neuronal excitability is the action potential and the excitable state can be caused by: increased excitatory synaptic neurotransmission, a decrease in inhibitory synaptic neurotransmission and an alteration in voltage-gated ion channels, or an alteration of intra-or extra-cellular ion concentrations in favor of membrane depolarization. Nonetheless, a faulty circuitry network system can cause excessive firing in a particular neighbourhood of the central nervous system [9]. In general, depolarization is mediated by synaptic currents generated by the excitatory neurotransmitters glutamate and aspartate [10].…”

Section: Neurophysiological Analysis Of Seizurementioning

confidence: 99%

An adaptive neuro-fuzzy inference system for the physiological presentation of seizure disorder

Ajibola

Aladefa

2018

Nig. J. Tech.

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Seizure is the clinical manifestation of an excessive, hypersynchronous discharge of a population of cortical neurons accompanied by indescribable "pins-and needles-like" bodily sensations, smells or sounds, fear or depression, hallucinations, momentary jerks or head nods, staring with loss of awareness, and convulsive movements (i.e., involuntary muscle contractions) lasting for some seconds to a few minutes. In this work, an attempt is made to promote a better understanding of seizure disorder by proposing an adaptive neuro-fuzzy simulation model as a tool for capturing the physiological presentation of the disorder. Decision making was performed in two stages, namely the feature extractions using Microsoft Excel for corresponding digital value of the waveform of the EEG recordings of a seizure and those of a non-seizure patient directly from the EEG machine, and the transient features are accurately captured and localized in both time and amplitude. This extracted data were used for our Adaptive Neuro-Fuzzy Inference System (ANFIS) training and the ANFIS was trained with the backpropagation gradient descent method in combination with the least squares method to establish the validity of our ANFIS. The result shows an accuracy of 90.7% of predictions as the number of epochs increase.

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A Model for the Management of Gait Syndrome in Huntington's Disease Patient

Cited by 2 publications

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MODELLING GAIT SYNDROME IN HUNTINGTONâ€™S DISEASE: THE GENETIC ALGORITHM APPROACH

MODELLING GAIT SYNDROME IN HUNTINGTONâ€™S DISEASE: THE GENETIC ALGORITHM APPROACH

An adaptive neuro-fuzzy inference system for the physiological presentation of seizure disorder

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