Výsledky vyhledávání - "Juber Rahman"

A Minimalist Method Toward Severity Assessment and Progression Monitoring of Obstructive Sleep Apnea on the Edge

Autor: Md Juber Rahman, Bashir I. Morshed

Publikováno v: ACM Transactions on Computing for Healthcare. 3:1-16

Artificial Intelligence-enabled applications on edge devices have the potential to revolutionize disease detection and monitoring in future smart health (sHealth) systems. In this study, we investigated a minimalist approach for the severity classifi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5e1a396b949230a73d62382f4f2dd5ec
https://doi.org/10.1145/3479432

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A Smart Health (sHealth)-Centric Method toward Estimation of Sleep Deficiency Severity from Wearable Sensor Data Fusion

Autor: Chrysanthe Preza, Bashir I. Morshed, Juber Rahman

Publikováno v: BioMedInformatics
Volume 1
Issue 3
Pages 8-126

Sleep deficiency impacts the quality of life and may have serious health consequences in the long run. Questionnaire-based subjective assessment of sleep deficiency has many limitations. On the other hand, objective assessment of sleep deficiency is

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a34fd0c577a44a65cba13056742a2661
https://doi.org/10.3390/biomedinformatics1030008

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Obstructive Sleep Apnea Severity Detection Using Pan–Tompkins Algorithm and Fisher Feature Selection

Autor: N. Juber Rahman, P. Nithya

Publikováno v: Proceedings of International Conference on Data Science and Applications ISBN: 9789811651199
Proceedings of International Conference on Data Science and Applications

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::475deea78bd642a4d59a5543f86e4343
https://doi.org/10.1007/978-981-16-5120-5_27

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Akademický článek

Inkjet Printed Fully-Passive Body-Worn Wireless Sensors for Smart and Connected Community (SCC)

Autor: Bashir I. Morshed, Brook Harmon, Md Sabbir Zaman, Md Juber Rahman, Sharmin Afroz, Mamunur Rahman

Publikováno v: Journal of Low Power Electronics and Applications, Vol 7, Iss 4, p 26 (2017)

Future Smart and Connected Communities (SCC) will utilize distributed sensors and embedded computing to seamlessly generate meaningful data that can assist individuals, communities, and society with interlocking physical, social, behavioral, economic

Externí odkaz: https://doaj.org/article/291e039706ef499882d6c64304d802df

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A Novel Method for Sleep Score Estimation Using Wearable Sensors with a Deep Sequential Neural Network

Autor: Bashir I. Morshed, Juber Rahman

Publikováno v: EIT

The use of sleep score as a measure of fitness and wellness is getting popular in Smart Health as it provides an objective assessment of sleep quality. However, reliable estimation of sleep scores from wearable sensor data only is challenging. In thi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8c8da374f8d0e910dac03d81ebace4fe
https://doi.org/10.1109/eit51626.2021.9491896

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Perspective of nuclear fractal dimension in diagnosis and prognosis of oral squamous cell carcinoma

Autor: Swagatika Panda, Juber Rahman, Santisudha Panigrahi, Neeta Mohanty, Tripti Swarnkar, Umashankar Mishra

Publikováno v: Journal of oral and maxillofacial pathology : JOMFP. 26(1)

Owing to the restricted predictive value of conventional prognostic factors and the inconsistent treatment strategies, several oral squamous cell carcinoma (OSCC) patients are still over-treated or under-treated. In recent years, computer-assisted nu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf42824a6cfa5dcc1b89a7c17c31cece
https://pubmed.ncbi.nlm.nih.gov/35571291

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Toward Early Severity Assessment of Obstructive Lung Disease Using Multi-Modal Wearable Sensor Data Fusion During Walking

Autor: Mahbubur Rahman, Juber Rahman, Korosh Vatanparvar, Viswam Nathan, Jilong Kuang, Ebrahim Nemati

Publikováno v: EMBC

Early detection of chronic diseases helps to minimize the disease impact on patient’s health and reduce the economic burden. Continuous monitoring of such diseases helps in the evaluation of rehabilitation program effectiveness as well as in the de

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96ec2d893519783a1d762fd53821fddc
https://pubmed.ncbi.nlm.nih.gov/33019325

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Estimation of the Lung Function Using Acoustic Features of the Voluntary Cough

Autor: Md. Juber Rahman, Korosh Vatanparvar, Jilong Kuang, Erin Blackstock, Viswam Nathan, Md. Mahbubur Rahman, Ebrahim Nemati

Publikováno v: EMBC

Spirometry test, a measure of the patient's lung function, is the gold standard for diagnosis and monitoring of chronic pulmonary diseases. Spirometry is currently being done in hospital settings by having the patients blow the air out of their lungs

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6ceca468603d034c7f643240f495409
https://pubmed.ncbi.nlm.nih.gov/33018992

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A Field Study to Capture Events of Interest (EoI) from Living Labs Using Wearables for Spatiotemporal Monitoring Towards a Framework of Smart Health (sHealth)

Autor: Juber Rahman, Brook E. Harmon, Bashir I. Morshed

Publikováno v: EMBC

Everyday wearables such as smartwatches or smart bands can play a pivotal role in the field of fitness and wellness and hold the prospect to be used for early disease detection and monitoring towards Smart Health (sHealth). One of the challenges is t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1af9aa76b15f2316e335e55299d41636
https://pubmed.ncbi.nlm.nih.gov/33019327

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