Zobrazeno 1 - 10
of 215
pro vyhledávání: '"Mario Cifrek"'
Autor:
Pan Xu, Junwei Zhou, Zhizhang Chen, Xudong Yang, Hongli Yan, Zeljka Lucev Vasic, Mario Cifrek, Sio Hang Pun, Mang I Vai, Yueming Gao
Publikováno v:
IEEE Journal of Microwaves, Vol 4, Iss 4, Pp 605-625 (2024)
ElectricalImpedance Myography (EIM) is an innovative, non-invasive technique offering a convenient means of localized exogenous electrophysiological recording. By measuring muscle impedance parameters, this method characterizes the physiological stat
Externí odkaz:
https://doaj.org/article/5225e408b4e445deb307c550e0495bcb
Publikováno v:
IEEE Access, Vol 10, Pp 73702-73727 (2022)
Low back pain (LBP) is a global health-problem phenomenon. Most patients are categorized as non-specific, thus requiring an individualized approach which still poses a major challenge. In this paper, sEMG recordings from two pairs of lumbar muscle si
Externí odkaz:
https://doaj.org/article/f4a29ab2dfe44aeeb9a8d5fe84b08279
Autor:
Dongming Li, Linnan Huang, Yangrong Wen, Yueming Gao, Zeljka Lucev Vasic, Mario Cifrek, Min Du
Publikováno v:
IEEE Access, Vol 8, Pp 172233-172243 (2020)
Local muscle fatigue (LMF) is a common physiological phenomenon that occurs in daily exercise training and medical rehabilitation. Without timely treatment it can easily lead to muscle spasm, ligament rupture, and even stress fractures. Electrical im
Externí odkaz:
https://doaj.org/article/d5d1dcc3fd884d63aa915d4062d71545
Publikováno v:
Applied Sciences, Vol 12, Iss 16, p 8146 (2022)
Objective detection of a driver’s drowsiness is important for improving driving safety, and the most prominent indicator of drowsiness is changes in electroencephalographic (EEG) activity. Despite extensively documented behavioral differences betwe
Externí odkaz:
https://doaj.org/article/6fa4afbb1bfe4ca3974532c1945d94bb
Autor:
Yue-Ming Gao, Heng-fei Zhang, Shi Lin, Rui-Xin Jiang, Zhi-Ying Chen, Željka Lučev Vasić, Mang-I Vai, Min Du, Mario Cifrek, Sio-Hang Pun
Publikováno v:
BioMedical Engineering OnLine, Vol 17, Iss 1, Pp 1-16 (2018)
Abstract Background Intra-body communication (IBC) is one of the highlights in studies of body area networks. The existing IBC studies mainly focus on human channel characteristics of the physical layer, transceiver design for the application, and th
Externí odkaz:
https://doaj.org/article/e3417d1f493c4f94bbe9e2a3d32ba190
Publikováno v:
IEEE Access, Vol 6, Pp 50609-50626 (2018)
Accurate detection of characteristic electrocardiogram (ECG) waves is necessary for ECG analysis and interpretation. In this paper, we distinguish four processing steps of detection algorithms: noise and artifacts reduction, transformations, fiducial
Externí odkaz:
https://doaj.org/article/1bad6a45a4e0457fa7b47f1a0aac4b50
Publikováno v:
Sensors, Vol 21, Iss 20, p 6932 (2021)
Drowsiness is a risk to human lives in many occupations and activities where full awareness is essential for the safe operation of systems and vehicles, such as driving a car or flying an airplane. Although it is one of the main causes of many road a
Externí odkaz:
https://doaj.org/article/bdd1994d07694480bd55623232a75a96
Autor:
Yue-Ming Gao, Yan-Ting Ye, Shi Lin, Željka Lučev Vasić, Mang-I Vai, Min Du, Mario Cifrek, Sio-Hang Pun
Publikováno v:
BioMedical Engineering OnLine, Vol 16, Iss 1, Pp 1-14 (2017)
Abstract Background Signal transmission characteristics between implanted medical devices and external equipment has been a common key issue, as has the problem of supplying energy to the devices. It can be used to enable signal transmission from imp
Externí odkaz:
https://doaj.org/article/a5b2092db6064aceb916134ab74f3bb0
Autor:
Petra Šoštarić, Magdalena Matić, Dalia Vađunec, Zeljka Lucev Vasic, Mario Cifrek, Marco Pirazzini, Ivica Matak
Background and purpose: Recent preclinical studies suggest that botulinum toxin type A (BoNT-A) reduces abnormal muscle tone following its traffic to second order spinal synapses. However, possible consequences of such actions on spinal neuromotor co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0c518e730937ae655268af660df2d8a
https://doi.org/10.22541/au.168490993.39532166/v1
https://doi.org/10.22541/au.168490993.39532166/v1
Publikováno v:
Sensors, Vol 21, Iss 11, p 3786 (2021)
Detecting drowsiness in drivers, especially multi-level drowsiness, is a difficult problem that is often approached using neurophysiological signals as the basis for building a reliable system. In this context, electroencephalogram (EEG) signals are
Externí odkaz:
https://doaj.org/article/e24a61f1111c4453b54be8e7477520ba