A Survey on Expert Systems for Diagnosis Support in the Field of Neurology

Josefiok, Mirco; Krahn, Tobias; Sauer, Jürgen

doi:10.1007/978-3-319-19857-6_26

Cited by 4 publications

(2 citation statements)

References 9 publications

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“…AI also has the potential to study different types of data—features, time series, signals, and images. In general AI systems work without the need for human experts (expert systems: after training or development) ( 98 ). Other benefits of AI are related to efficiency, accuracy, and precision in analysis ( 99 ); competence to identify, classify and extract features from complex, high-dimensional and noisy data ( 100 ); the capability of generalisation; robustness; and the possibility to integrate expert knowledge ( 101 ).…”

Section: Discussionmentioning

confidence: 99%

A Proposal for a Data-Driven Approach to the Influence of Music on Heart Dynamics

Idrobo-Ávila

Correa

Muñoz-Bolaños

et al. 2021

Front. Cardiovasc. Med.

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Electrocardiographic signals (ECG) and heart rate viability measurements (HRV) provide information in a range of specialist fields, extending to musical perception. The ECG signal records heart electrical activity, while HRV reflects the state or condition of the autonomic nervous system. HRV has been studied as a marker of diverse psychological and physical diseases including coronary heart disease, myocardial infarction, and stroke. HRV has also been used to observe the effects of medicines, the impact of exercise and the analysis of emotional responses and evaluation of effects of various quantifiable elements of sound and music on the human body. Variations in blood pressure, levels of stress or anxiety, subjective sensations and even changes in emotions constitute multiple aspects that may well-react or respond to musical stimuli. Although both ECG and HRV continue to feature extensively in research in health and perception, methodologies vary substantially. This makes it difficult to compare studies, with researchers making recommendations to improve experiment planning and the analysis and reporting of data. The present work provides a methodological framework to examine the effect of sound on ECG and HRV with the aim of associating musical structures and noise to the signals by means of artificial intelligence (AI); it first presents a way to select experimental study subjects in light of the research aims and then offers possibilities for selecting and producing suitable sound stimuli; once sounds have been selected, a guide is proposed for optimal experimental design. Finally, a framework is introduced for analysis of data and signals, based on both conventional as well as data-driven AI tools. AI is able to study big data at a single stroke, can be applied to different types of data, and is capable of generalisation and so is considered the main tool in the analysis.

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Section: Discussionmentioning

confidence: 99%

A Proposal for a Data-Driven Approach to the Influence of Music on Heart Dynamics

Idrobo-Ávila

Correa

Muñoz-Bolaños

et al. 2021

Front. Cardiovasc. Med.

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“…M. Joseёok и соавт. [18] проанализировали представленные на PubMed, Mendeley и Google Scholar работы, касающиеся экспертных систем в неврологии. Им удалось найти лишь 7 статей, опубликованных на этих порталах до конца 2014 г., в которых описаны конкретные системы с оценкой их качества.…”

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Digital technologies in the diagnosis and treatment of neurological diseases

Petukhova

Farkhadov

Zamegrad

et al. 2019

RJTAO

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The review considers works devoted to convolutional neural networks as a main method for digital image processing, as well as to the diagnosis of neurological diseases based on computer-aided analysis of magnetic resonance imaging and electroencephalography. It describes approaches to building computer-aided diagnostic systems and gives examples of these systems in neurology. The virtual reality technology used to rehabilitate patients with imbalance, posttraumatic disorders, and consequences of stroke is presented. Digitalization is stated to be one of the priority areas for medicine development.

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Towards an Expert System for the Field of Neurology Based on Fuzzy Logic

Josefiok

Sauer

2015

KI 2015: Advances in Artificial Intelligence

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A Survey on Expert Systems for Diagnosis Support in the Field of Neurology

Cited by 4 publications

References 9 publications

A Proposal for a Data-Driven Approach to the Influence of Music on Heart Dynamics

A Proposal for a Data-Driven Approach to the Influence of Music on Heart Dynamics

Digital technologies in the diagnosis and treatment of neurological diseases

Towards an Expert System for the Field of Neurology Based on Fuzzy Logic

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