Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Antonino, Caizzone"'
Publikováno v:
IEEE Journal of the Electron Devices Society, Vol 10, Pp 687-695 (2022)
This paper compares two in-pixel source follower stage designs for low noise CMOS image sensors embedded both on a same 5 mm by 5 mm chip fabricated in a 180nm CIS process. The presented chip embeds two pixel variants, one based on a body-effect-canc
Externí odkaz:
https://doaj.org/article/9697577a9cee45b3ab4f91d2c9f41838
Publikováno v:
IEEE Access, Vol 9, Pp 127217-127225 (2021)
This paper presents a wearable optical health monitoring device embedding a monolithic sensor chip with newly designed pixels, and an optical module optimized for photoplethysmography (PPG). The monolithic optical sensor at the heart of this device i
Externí odkaz:
https://doaj.org/article/323540b3b0f04a0183e94b297453f44b
Publikováno v:
JMIR Research Protocols, Vol 10, Iss 10, p e30051 (2021)
BackgroundWearable devices can provide user-friendly, accurate, and continuous blood pressure (BP) monitoring to assess patients’ vital signs and achieve remote patient management. Remote BP monitoring can substantially improve BP control. The newe
Externí odkaz:
https://doaj.org/article/9215cb69237d47b0b2dae9b4e4ae51ac
Autor:
Sara Schukraft, Serj Haddad, Yannick Faucherre, Diego Arroyo, Mario Togni, Anthony Barison, Assim Boukhayma, Stéphane Cook, Antonino Caizzone
Publikováno v:
Blood Pressure Monitoring. 27:402-407
The purpose of this study is to evaluate the accuracy of the Senbiosys device in measuring blood pressure (BP) by photoplethysmography (PPG) in patients undergoing coronary angiography.This is a substudy within the Senbiosys trial, which is a prospec
Publikováno v:
IEEE Sensors Journal. 21:19967-19977
This work demonstrates that accurate hear beat monitoring, via photoplethysmography (PPG), can be performed at micro-power consumption level with an ear worn device. This is achieved thanks to the combination of a highly sensitive low power PPG chip,
Publikováno v:
IEEE Access, Vol 9, Pp 127217-127225 (2021)
This paper presents a wearable optical health monitoring device embedding a monolithic sensor chip with newly designed pixels, and an optical module optimized for photoplethysmography (PPG). The monolithic optical sensor at the heart of this device i
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2021
In this work, we study the accuracy of ear and finger photoplethysmography (PPG) based inter-beat interval (IBI) detection and estimation compared to the R-to-R interval (RRI) values derived from the electrocardiography (ECG). Seven male subjects wit
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2021
In this work, we present a low-complexity photoplethysmography-based respiratory rate monitoring (PPG-RRM) algorithm that achieves high accuracy through a novel fusion method. The proposed technique extracts three respiratory-induced variation signal
Autor:
Sara Schukraft, Stéphane Cook, Yannick Faucherre, Antonino Caizzone, Serj Haddad, Assim Boukhayma, Anthony Barison
The study NCT04379986 aims at evaluating the performance of the Senbiosys technology in monitoring blood pressure (BP) values for elderly patients: 25 patients undergoing coronary angiography, aged 68.92 ± 6.41 years, and 10 patients in the intensiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dab3d2e4bd3d57ce0fd4097be5d040b6
https://doi.org/10.21203/rs.3.rs-1040431/v1
https://doi.org/10.21203/rs.3.rs-1040431/v1
Autor:
Serj, Haddad, Assim, Boukhayma, Gilles, Di Pietrantonio, Anthony, Barison, Gilles, de Preux, Antonino, Caizzone
Publikováno v:
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).
In this work, we evaluate the accuracy of our cuffless photoplethysmography based blood pressure monitoring (PPG-BPM) algorithm. The algorithm is evaluated on an ultra low power photoplethysmography (PPG) signal acquired from the Senbiosys Ring. The