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pro vyhledávání: '"Shermeen Nizami"'
BACKGROUND Clinical decision support systems (CDSS) have the potential to lower the patient mortality and morbidity rates. However, signal artifacts present in physiological data affect the reliability and accuracy of the CDSS. Moreover, patient moni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5833e18d3113271476e66e72a6c3b326
https://doi.org/10.2196/preprints.23495
https://doi.org/10.2196/preprints.23495
Autor:
Kim Greenwood, Samreen Aziz, James R. Green, JoAnn Harrold, Shermeen Nizami, Yasmina Souley Dosso
Publikováno v:
EMBC
Newborns admitted to the neonatal intensive care unit (NICU) require a high level of care due to their precarious condition. Nurses typically monitor their vital signs continuously using wearable sensors such as electrocardiogram (ECG) electrodes pla
Autor:
James R. Green, Samreen Aziz, JoAnn Harrold, Shermeen Nizami, Kim Greenwood, Yasmina Souley Dosso
Publikováno v:
MeMeA
Patient movements can cause motion artifacts on physiological signals and can result in false alarms in a continuous patient care environment. This paper explores the use of data from a pressure sensitive mat (PSM), placed below neonates in the neona
Autor:
James R. Green, Samreen Aziz, Yasmina Souley Dosso, Kim Greenwood, JoAnn Harrold, Shermeen Nizami
Publikováno v:
MeMeA
Noncontact video-based patient monitoring promises several advantages over wearable sensors, particularly for patients in the NICU who have fragile skin. However, such approaches often require definition of a region-of-interest (ROI), such as the pat
Publikováno v:
JMIR Biomedical Engineering. 6:e23495
Background Clinical decision support systems (CDSS) have the potential to lower the patient mortality and morbidity rates. However, signal artifacts present in physiological data affect the reliability and accuracy of the CDSS. Moreover, patient moni
Autor:
Amna Basharat, Arslan Shoukat, Shermeen Nizami, Randy Giffen, James R. Green, Uzair Hameed, Syed Ali Raza, Amente Bekele
Publikováno v:
EMBC
This research develops a novel dynamic mobile health (mHealth) application (app), called the Clinical Event Annotator (CEA). The CEA comprises of a native Android tablet app and an administrative web app. The native app is used at the patient bedside
Autor:
Kim Greenwood, Yasmina Souley Dossso, JoAnn Harrold, James R. Green, Cheryl Aubertin, Shermeen Nizami, Amente Bekele
Publikováno v:
2018 IEEE Life Sciences Conference (LSC).
Detection and segmentation of people within a scene has been primarily applied to indoor imagery for surveillance systems and outdoor scenes for pedestrian detection. This paper proposes to leverage a similar semantic segmentation model for segmentin
Autor:
Shermeen Nizami, F. Renon
Publikováno v:
EMBC
This study applies several high impact practices in an integrated fourth-year biomedical engineering course. The engineering design project is mapped to six deliverables using an adaptation of the Information Rich Engineering Design (IRED) model. Thi