Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Farzad Khosrow-Khavar"'
Autor:
Bradley Hoffmann, Parastoo Dehkordi, Farzad Khosrow-Khavar, Nandu Goswami, Andrew P. Blaber, Kouhyar Tavakolian
Publikováno v:
npj Microgravity, Vol 8, Iss 1, Pp 1-9 (2022)
Abstract During head-down tilt bed rest (HDT) the cardiovascular system is subject to headward fluid shifts. The fluid shift phenomenon is analogous to weightlessness experienced during spaceflight microgravity. The purpose of this study was to inves
Externí odkaz:
https://doaj.org/article/6fee3b6122454f3ba51f0aa586af954b
Autor:
Parastoo Dehkordi, Erwin P. Bauer, Kouhyar Tavakolian, Zhen G. Xiao, Andrew P. Blaber, Farzad Khosrow-Khavar
Publikováno v:
Frontiers in Physiology, Vol 12 (2021)
In this study, we present a non-invasive solution to identify patients with coronary artery disease (CAD) defined as ⩾50% stenosis in at least one coronary artery. The solution is based on the analysis of linear acceleration (seismocardiogram, SCG)
Externí odkaz:
https://doaj.org/article/495f35068fd64be0beee717123307109
Autor:
Parastoo Dehkordi, Erwin P. Bauer, Kouhyar Tavakolian, Vahid Zakeri, Andrew P. Blaber, Farzad Khosrow-Khavar
Publikováno v:
Frontiers in Physiology, Vol 10 (2019)
Coronary artery disease (CAD) is the most common cause of death globally. Patients with suspected CAD are usually assessed by exercise electrocardiography (ECG). Subsequent tests, such as coronary angiography and coronary computed tomography angiogra
Externí odkaz:
https://doaj.org/article/d40646910c0e4604a9cf2164e2dca2d6
Autor:
Parastoo Dehkordi, Farzad Khosrow-Khavar, Marco Di Rienzo, Omer T. Inan, Samuel E. Schmidt, Andrew P. Blaber, Kasper Sørensen, Johannes J. Struijk, Vahid Zakeri, Prospero Lombardi, Md. Mobashir H. Shandhi, Mojtaba Borairi, John M. Zanetti, Kouhyar Tavakolian
Publikováno v:
Frontiers in Physiology, Vol 10 (2019)
Cardiac time intervals are important hemodynamic indices and provide information about left ventricular performance. Phonocardiography (PCG), impedance cardiography (ICG), and recently, seismocardiography (SCG) have been unobtrusive methods of choice
Externí odkaz:
https://doaj.org/article/66edf2b80b6f4fbd865b9a84b30e49ce
Autor:
Andrew P. Blaber, Farzad Khosrow-khavar, Zhen G. Xiao, Parastoo Dehkordi, Kouhyar Tavakolian, Erwin P Bauer
Publikováno v:
Frontiers in Physiology, Vol 12 (2021)
Frontiers in Physiology
Frontiers in Physiology
In this study, we present a non-invasive solution to identify patients with coronary artery disease (CAD) defined as ⩾50% stenosis in at least one coronary artery. The solution is based on the analysis of linear acceleration (seismocardiogram, SCG)
Autor:
Alireza Akhbardeh, Kouhyar Tavakolian, Zhen Gang Xiao, Bradley Hoffmann, Parshuram N. Aarotale, Farzad Khosrow-khavar, Rabie Fadil
Publikováno v:
CinC
This research focused on morphology changes due to sensor placement of the seismocardiogram (SCG). Data was recorded from seven male subjects, in supine position, accelerometers were placed in both vertical (V) and horizontal (HL) positions leading f
Autor:
Bradley Hoffmann, Parastoo Dehkordi, Farzad Khosrow-Khavar, Nandu Goswami, Andrew P. Blaber, Kouhyar Tavakolian
Publikováno v:
NPJ microgravity. 8(1)
During head-down tilt bed rest (HDT) the cardiovascular system is subject to headward fluid shifts. The fluid shift phenomenon is analogous to weightlessness experienced during spaceflight microgravity. The purpose of this study was to investigate th
Autor:
Farzad Khosrow-khavar, Vahid Zakeri, Kouhyar Tavakolian, Parastoo Dehkordi, Mojtaba Jafari Tadi
Publikováno v:
Physiological measurement. 41(5)
OBJECTIVE Assessment of cardiac time intervals (CTIs) is essential for monitoring cardiac performance. Recently, gyrocardiography (GCG) has been introduced as a non-invasive technology for cardiac monitoring. GCG measures the chest's angular precordi
Publikováno v:
2019 Computing in Cardiology Conference (CinC).
Autor:
Farzad Khosrow-khavar, Arye Nehorai, Kouhyar Tavakolian, Phyllis K. Stein, Johan Wahlstrom, Isaac Skog, Peter Händel
Publikováno v:
IEEE Transactions on Biomedical Engineering. 64:2361-2372
We propose a hidden Markov model approach for processing seismocardiograms. The seismocardiogram morphology is learned using the expectation-maximization algorithm, and the state of the heart at a given time instant is estimated by the Viterbi algori