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  • Vol. 20 Núm. 40 (2017)
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Advances in biomedical engineering: a call for enhancing empirical researc

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Date
2017-09-04
Author
Orozco-Duque, Andrés
Novák, Daniel

Citation

       
TY - GEN AU - Orozco-Duque, Andrés AU - Novák, Daniel Y1 - 2017-09-04 UR - http://hdl.handle.net/20.500.12622/1034 AB - Advances in biomedical engineering (BME) imply the existence of research groups working in multidisciplinary teams to understand physiological processes and develop methods and tools for diagnostics and therapeutics. Multidisciplinary teams include physicians, biologists, physicists, mathematicians and engineers from different disciplines: electrical and electronics, computer sciences, materials, mechanical, chemical, among others. Lately, BME has become a bridge joining these disciplines. Therefore, successful BME projects involve not only a deep knowledge of the specific discipline, but also an understanding of the physiological phenomena under study. ER - @misc{20.500.12622_1034, author = {Orozco-Duque Andrés and Novák Daniel}, title = {}, year = {2017-09-04}, abstract = {Advances in biomedical engineering (BME) imply the existence of research groups working in multidisciplinary teams to understand physiological processes and develop methods and tools for diagnostics and therapeutics. Multidisciplinary teams include physicians, biologists, physicists, mathematicians and engineers from different disciplines: electrical and electronics, computer sciences, materials, mechanical, chemical, among others. Lately, BME has become a bridge joining these disciplines. Therefore, successful BME projects involve not only a deep knowledge of the specific discipline, but also an understanding of the physiological phenomena under study.}, url = {http://hdl.handle.net/20.500.12622/1034} }RT Generic A1 Orozco-Duque, Andrés A1 Novák, Daniel YR 2017-09-04 LK http://hdl.handle.net/20.500.12622/1034 AB Advances in biomedical engineering (BME) imply the existence of research groups working in multidisciplinary teams to understand physiological processes and develop methods and tools for diagnostics and therapeutics. Multidisciplinary teams include physicians, biologists, physicists, mathematicians and engineers from different disciplines: electrical and electronics, computer sciences, materials, mechanical, chemical, among others. Lately, BME has become a bridge joining these disciplines. Therefore, successful BME projects involve not only a deep knowledge of the specific discipline, but also an understanding of the physiological phenomena under study. OL Spanish (121)
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Abstract
Advances in biomedical engineering (BME) imply the existence of research groups working in multidisciplinary teams to understand physiological processes and develop methods and tools for diagnostics and therapeutics. Multidisciplinary teams include physicians, biologists, physicists, mathematicians and engineers from different disciplines: electrical and electronics, computer sciences, materials, mechanical, chemical, among others. Lately, BME has become a bridge joining these disciplines. Therefore, successful BME projects involve not only a deep knowledge of the specific discipline, but also an understanding of the physiological phenomena under study.
Abstract
Advances in biomedical engineering (BME) imply the existence of research groups working in multidisciplinary teams to understand physiological processes and develop methods and tools for diagnostics and therapeutics. Multidisciplinary teams include physicians, biologists, physicists, mathematicians and engineers from different disciplines: electrical and electronics, computer sciences, materials, mechanical, chemical, among others. Lately, BME has become a bridge joining these disciplines. Therefore, successful BME projects involve not only a deep knowledge of the specific discipline, but also an understanding of the physiological phenomena under study.
Palabras clave
Ingeniería biomédica; Ciencias de la computación; Interfaces cerebro-computadora; Internet de las cosas; Procesamiento de señales biomédicas
keywords
Biomedical engineering; Computer science; Brain-computer interfaces; Internet of Things; Biomedical signal processing
URI
http://hdl.handle.net/20.500.12622/1034
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