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ISSN 0928-7329 (P)
ISSN
1878-7401 (E)
Impact Factor 2024: 1.4
Technology and Health Care is intended to serve as a forum for the presentation of original articles and technical notes, observing rigorous scientific standards. Furthermore, upon invitation, reviews, tutorials, discussion papers and minisymposia are featured.
The following types of contributions and areas are considered:
1. Original articles:
Technology development in medicine: New concepts, procedures and devices associated with the use of technology in medical research and clinical practice are presented to a readership with a widespread background in engineering and/or medicine.
Significance of medical technology and informatics for healthcare: The appropriateness, efficacy and usefulness deriving from the application of engineering methods, devices and informatics in medicine and with respect to public health are discussed.
2. Technical notes:
Short communications on novel technical developments with relevance for clinical medicine.
3. Reviews and tutorials (upon invitation only):
Tutorial and educational articles for persons with a primarily medical background on principles of engineering with particular significance for biomedical applications and vice versa are presented.
4. Minisymposia (upon invitation only):
Under the leadership of a Special Editor, controversial issues relating to healthcare are highlighted and discussed by various authors.
Abstract: Analysis of scalp-recorded potentials (EEG or evoked potential examination) is of great importance for studying bioelectrical processes in the human brain both in normal and pathological cases. Investigating potential distributions in the relation to individual topography of the cortex is helpful in treatment and surgery planning. We developed a method providing visual presentation of electrical potentials measured in EEG examination superimposed on a patient’s cortex surface computed from MRI data. Analysis of such images contributes into diagnostics of common neurological disorders (for example: epilepsy, Parkinson’s disease, any mechanical damage). Integration of EEG and MRI data sets requires their alignment. This…paper focuses on applying a new registration technique for the alignment of these two data sets. The method does not require any external fiducial markers to be fixed on a patient’s head, what makes it convenient for numerous examinations performed in clinic. Alignment bases on geometrical features derived from intrinsic data of an image or an object. To show the example of usage of the technique for assisting in neurological diagnostics we present results of SEP (sensory evoked potential) examinations performed for one pathological case and a control group.
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