Autism, EEG and brain electromagnetics research

Hoole, Prp; Pirapaharan, K.; Basar, Sofia A; Ismail, Roslina; Liyanage, Dlda; Senanayake, Sshmul; Hoole, S.R.H.

doi:10.1109/iecbes.2012.6498036

Cited by 8 publications

(9 citation statements)

References 5 publications

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“…Hoole et al [69] achieved the results that the abnormalities in EEG alpha waves are related to the early age of autism. Listening to relaxing music helps increasing the alpha level and reduces the beta level in autistic children.…”

Section: Autism Spectrum Disorder Diagnosismentioning

confidence: 99%

Medical Big Data: Neurological Diseases Diagnosis Through Medical Data Analysis

2016

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Section: Autism Spectrum Disorder Diagnosismentioning

confidence: 99%

Medical Big Data: Neurological Diseases Diagnosis Through Medical Data Analysis

2016

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“…(in N/m 3 ) on a point of a conductor carrying a current density J ! (in A/m 2 ) by (Hoole and Hoole, 1996) the following:…”

Section: Mri Compatible Electromagnetic Actuatormentioning

confidence: 99%

MRI compatible electromagnetic actuator: magneto-thermal design and optimization

Moualek,

Chauviere,

Belguerras

et al. 2024

COMPEL

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Purpose The purpose of this study is to develop a magnetic resonance imaging (MRI)-safe iron-free electrical actuator for MR-guided surgical interventions. Design/methodology/approach The paper deals with the design of an MRI compatible electrical actuator. Three-dimensional electromagnetic and thermal analytical models have been developed to design the actuator. These models have been validated through 3D finite element (FE) computations. The analytical models have been inserted in an optimization procedure that uses genetic algorithms to find the optimal parameters of the actuator. Findings The analytical models are very fast and precise compared to the FE models. The computation time is 0.1 s for the electromagnetic analytical model and 3 min for the FE one. The optimized actuator does not perturb imaging sequence even if supplied with a current 10 times higher than its rated one. Indeed, the actuator’s magnetic field generated in the imaging area does not exceed 1 ppm of the B0 field generated by the MRI scanner. The actuator can perform up to 25 biopsy cycles without any risk to the actuator or the patient since he maximum temperature rise of the actuator is about 20°C. The actuator is compact and lightweight compared to its pneumatic counterpart. Originality/value The MRI compatible actuator uses the B0 field generated by scanner as inductor. The design procedure uses magneto-thermal coupled models that can be adapted to the design of a variety actuation systems working in MRI environment.

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“…Most of the research towards autism use frequency-domain and time-domains in analyzing EEG signals. However, the analysis in the frequency domain was more significant compared to time-domains technique [22]. Malaysian researcher, Sudirman et al [23] indicates that the diagnosis of alpha value (10 Hz) using Fast Fourier Transform (FFT) in visual simulation for autistic children is lower than normal children.…”

Section: Dolah Et Al Characterized Autism By Social Disconnectedness;mentioning

confidence: 99%

“…It is also stated that most autistic children experienced eye disorders since the age of 3 which makes them wear spectacles and undergo eye treatment. Hoole et al [22] came out with the results stated that the abnormalities in EEG alpha waves are related to the early age of autism. Listening to relaxing music helps increasing the alpha level and reduces the beta level in autism children.…”

Section: Dolah Et Al Characterized Autism By Social Disconnectedness;mentioning

confidence: 99%

Analysis Methods of EEG Signals: A Review in EEG Application for Brain Disorder

2015

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The electroencephalograph (EEG) is a medical modality that plays crucial roles in detecting, displaying and recording electrical activity in the brain. This paper reviews the analysis method of EEG signal for common diseases in Malaysia which are autism, Cerebral Palsy (CP), Parkinson and schizophrenia from Malaysian and worldwide research paper that has been published. Fast Fourier Transform, Short Time Fourier Transform (STFT) and event-related potential (ERP) are some of the techniques used in analyzing EEG signal were discussed in this paper. It can be concluded that EEG plays its role as a detection tool to detect the disease in the early stage, rehabilitation, classification or as an assistive tool for the patient according to the needs of the diseases.

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Autism, EEG and brain electromagnetics research

Cited by 8 publications

References 5 publications

Medical Big Data: Neurological Diseases Diagnosis Through Medical Data Analysis

Medical Big Data: Neurological Diseases Diagnosis Through Medical Data Analysis

MRI compatible electromagnetic actuator: magneto-thermal design and optimization

Analysis Methods of EEG Signals: A Review in EEG Application for Brain Disorder

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