Výsledky vyhledávání - "Fares Siddiqui"

Akademický článek

Validation of a New Contactless and Continuous Respiratory Rate Monitoring Device Based on Ultra-Wideband Radar Technology

Autor: Timo Lauteslager, Michal Maslik, Fares Siddiqui, Saad Marfani, Guy D. Leschziner, Adrian J. Williams

Publikováno v: Sensors, Vol 21, Iss 12, p 4027 (2021)

Respiratory rate (RR) is typically the first vital sign to change when a patient decompensates. Despite this, RR is often monitored infrequently and inaccurately. The Circadia Contactless Breathing Monitor™ (model C100) is a novel device that uses

Externí odkaz: https://doaj.org/article/4d0034f6ed0448e18f3fe17fb8646cef

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Validation of a New Contactless and Continuous Respiratory Rate Monitoring Device Based on Ultra-Wideband Radar Technology

Autor: Adrian J. Williams, Timo Lauteslager, Michal Maslik, Saad Marfani, Guy D. Leschziner, Fares Siddiqui

Publikováno v: Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 12
Sensors, Vol 21, Iss 4027, p 4027 (2021)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4444d46f9f46fcccdfc31418dbbac74a
https://pubmed.ncbi.nlm.nih.gov/34207961

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Performance Evaluation of the Circadia Contactless Breathing Monitor and Sleep Analysis Algorithm for Sleep Stage Classification

Autor: Stylianos Kampakis, Michal Maslik, Timo Lauteslager, Fares Siddiqui, Adrian J. Williams

Publikováno v: EMBC

Although polysomnography (PSG) remains the gold standard for studying sleep in the lab, the development of wearable and 'nearable' non-EEG based sleep monitors has the potential to make long-term sleep monitoring in a home environment possible. Howev

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bac715bc93467dc37eeb74f7e6b94d64
https://doi.org/10.1109/embc44109.2020.9175419

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1201 Performance Evaluation Of A Novel Contactless Breathing Monitor And Machine Learning Algorithm For Sleep Stage Classification In A Healthy Population

Autor: Michal Maslik, Timo Lauteslager, S Kampakis, Adrian J. Williams, Fares Siddiqui

Publikováno v: Sleep. 43:A459-A459

Introduction Although polysomnography (PSG) remains the gold standard for sleep assessment in a lab setting, non-EEG signals such as respiration and motion are directly affected by sleep stages and can be used for sleep stage prediction. Importantly,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::dfc0774507f9841f94259d2487c5b9b4
https://doi.org/10.1093/sleep/zsaa056.1195

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