Zobrazeno 1 - 10
of 83
pro vyhledávání: '"Negar Tavassolian"'
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract High-resolution millimeter-wave imaging (HR-MMWI), with its high discrimination contrast and sufficient penetration depth, can potentially provide affordable tissue diagnostic information noninvasively. In this study, we evaluate the applica
Externí odkaz:
https://doaj.org/article/c673affd237942f6addf88731a851e5d
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
Abstract Recent research has shown promising results for the detection of aortic stenosis (AS) using cardio-mechanical signals. However, they are limited by two main factors: lacking physical explanations for decision-making on the existence of AS, a
Externí odkaz:
https://doaj.org/article/f5c5edb3d9774b79a9863570fa78b666
Publikováno v:
IEEE Open Journal of Antennas and Propagation, Vol 2, Pp 599-612 (2021)
This paper presents the design, fabrication, and measurement of two ultra-wideband doubleridge open-ended waveguide antennas (OEWAs) for emerging high-resolution millimeter-wave (mm-wave) medical imaging applications. The proposed antennas can collec
Externí odkaz:
https://doaj.org/article/080bc96256cf414896801c534b693f5b
Autor:
Chenxi Yang, Foli Fan, Nicole Aranoff, Philip Green, Yuwen Li, Chengyu Liu, Negar Tavassolian
Publikováno v:
Frontiers in Physiology, Vol 12 (2021)
This paper describes an open-access database for seismo-cardiogram (SCG) and gyro-cardiogram (GCG) signals. The archive comprises SCG and GCG recordings sourced from and processed at multiple sites worldwide, including Columbia University Medical Cen
Externí odkaz:
https://doaj.org/article/9823366fe1eb40948e1c3d4d6acfe945
Autor:
Arash Shokouhmand, Haoran Wen, Samiha Khan, Joseph A. Puma, Amisha Patel, Philip Green, Farrokh Ayazi, Negar Tavassolian
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 27:274-285
The development of an accurate, non-invasive method for the diagnosis of peripheral artery disease (PAD) from accelerometer contact microphone (ACM) recordings of the cardiac system.Mel frequency cepstral coefficients (MFCCs) are initially extracted
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2726c72d3793e615846b1497311ca60
https://doi.org/10.1109/jbhi.2022.3218595
https://doi.org/10.1109/jbhi.2022.3218595
Autor:
Arash Shokouhmand, Negar Tavassolian
Publikováno v:
IEEE Transactions on Biomedical Engineering. 70:283-295
The development of a method for non-invasive monitoring of fetal electrocardiogram (FECG) signals from single-channel abdominal recordings.The dual-path source separation (DPSS) architecture is introduced for the simultaneous separation of fetal and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba579131d82e618791e2d046ce254694
https://doi.org/10.1109/tbme.2022.3189617
https://doi.org/10.1109/tbme.2022.3189617
Publikováno v:
IEEE Sensors Journal. 22:11965-11978
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0d53cee371ee70c6187f31842a65c2f
https://doi.org/10.1109/jsen.2022.3172559
https://doi.org/10.1109/jsen.2022.3172559
Autor:
Arash Shokouhmand, Haoran Wen, Samiha Khan, Joseph A. Puma, Amisha Patel, Philip Green, Farrokh Ayazi, Negar Tavassolian
Publikováno v:
2022 IEEE Sensors.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce8eb0ba274f3abbd4f2907d2a3fe530
https://doi.org/10.1109/sensors52175.2022.9967355
https://doi.org/10.1109/sensors52175.2022.9967355
Autor:
Brian Sang, Haoran Wen, Pranav Gupta, Arash Shokouhmand, Samiha Khan, Joseph A. Puma, Amisha Patel, Philip Green, Negar Tavassolian, Farrokh Ayazi
Publikováno v:
2022 IEEE Sensors.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5057d13c18d08e00216ebd4b74eef8f7
https://doi.org/10.1109/sensors52175.2022.9967056
https://doi.org/10.1109/sensors52175.2022.9967056
Autor:
Arash, Shokouhmand, Negar, Tavassolian
Publikováno v:
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).
This study addresses the cancellation of fetal movement in abdominal electrocardiogram (AECG) recordings through deep neural networks. For this purpose, a generative signal-to-signal translation model consisting of two coupled generators is employed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2baa575ae4909f390c45ad1d0074a448
https://doi.org/10.1109/embc48229.2022.9871826
https://doi.org/10.1109/embc48229.2022.9871826