Biomedical Signal Acquisition Using Sensors under the Paradigm of Parallel Computing
| Autor: | Ana Karen Pérez Martínez, Hugo Quintana Espinosa, Juan Pablo Francisco Posadas Durán, Jesús Jaime Moreno Escobar, Ixchel Lina Reyes, Liliana Chanona Hernández, Ricardo Tejeida Padilla, Oswaldo Morales Matamoros |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Computer science
Brain activity and meditation Central nervous system Life quality Disease Electroencephalography Stimulus (physiology) lcsh:Chemical technology 01 natural sciences Biochemistry Article Analytical Chemistry 03 medical and health sciences 0302 clinical medicine Human–computer interaction medicine Humans lcsh:TP1-1185 Electrical and Electronic Engineering Instrumentation Infantile cerebral palsy Neurorehabilitation AD8232 biomedical sensors medicine.diagnostic_test biomedical systems parallel computing Computers 010401 analytical chemistry Neurological care TGAM1 Brain Atomic and Molecular Physics and Optics 0104 chemical sciences medicine.anatomical_structure wireless systems 030217 neurology & neurosurgery |
| Zdroj: | Sensors (Basel, Switzerland) Sensors Volume 20 Issue 23 Sensors, Vol 20, Iss 6991, p 6991 (2020) |
| ISSN: | 1424-8220 |
| Popis: | There are several pathologies attacking the central nervous system and diverse therapies for each specific disease. These therapies seek as far as possible to minimize or offset the consequences caused by these types of pathologies and disorders in the patient. Therefore, comprehensive neurological care has been performed by neurorehabilitation therapies, to improve the patients&rsquo life quality and facilitating their performance in society. One way to know how the neurorehabilitation therapies contribute to help patients is by measuring changes in their brain activity by means of electroencephalograms (EEG). EEG data-processing applications have been used in neuroscience research to be highly computing- and data-intensive. Our proposal is an integrated system of Electroencephalographic, Electrocardiographic, Bioacoustic, and Digital Image Acquisition Analysis to provide neuroscience experts with tools to estimate the efficiency of a great variety of therapies. The three main axes of this proposal are: parallel or distributed capture, filtering and adaptation of biomedical signals, and synchronization in real epochs of sampling. Thus, the present proposal underlies a general system, whose main objective is to be a wireless benchmark in the field. In this way, this proposal could acquire and give some analysis tools for biomedical signals used for measuring brain interactions when it is stimulated by an external system during therapies, for example. Therefore, this system supports extreme environmental conditions, when necessary, which broadens the spectrum of its applications. In addition, in this proposal sensors could be added or eliminated depending on the needs of the research, generating a wide range of configuration limited by the number of CPU cores, i.e., the more biosensors, the more CPU cores will be required. To validate the proposed integrated system, it is used in a Dolphin-Assisted Therapy in patients with Infantile Cerebral Palsy and Obsessive&ndash Compulsive Disorder, as well as with a neurotypical one. Event synchronization of sample periods helped isolate the same therapy stimulus and allowed it to be analyzed by tools such as the Power Spectrum or the Fractal Geometry. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|