Zobrazeno 1 - 10 of 18 pro vyhledávání: '"Khushbakht Iqtidar"'
1
Akademický článek
Diagnosis of Schizophrenia Using EEG Sensor Data: A Novel Approach with Automated Log Energy-Based Empirical Wavelet Reconstruction and Cepstral Features
Autor: Sumair Aziz, Muhammad Umar Khan, Khushbakht Iqtidar, Raul Fernandez-Rojas
Publikováno v: Sensors, Vol 24, Iss 20, p 6508 (2024)
Schizophrenia (SZ) is a severe mental disorder characterised by disruptions in cognition, behaviour, and perception, significantly impacting an individual’s life. Traditional SZ diagnosis methods are labour-intensive and prone to errors. This study
Externí odkaz: https://doaj.org/article/6ccdccfa6ae04f438ed9cfe189678733
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2
Akademický článek
Expert Hypertension Detection System Featuring Pulse Plethysmograph Signals and Hybrid Feature Selection and Reduction Scheme
Autor: Muhammad Umar Khan, Sumair Aziz, Tallha Akram, Fatima Amjad, Khushbakht Iqtidar, Yunyoung Nam, Muhammad Attique Khan
Publikováno v: Sensors, Vol 21, Iss 1, p 247 (2021)
Hypertension is an antecedent to cardiac disorders. According to the World Health Organization (WHO), the number of people affected with hypertension will reach around 1.56 billion by 2025. Early detection of hypertension is imperative to prevent the
Externí odkaz: https://doaj.org/article/f86cf9c2cb394037bc14fe0168b4a524
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5
A two-stage classification model integrating feature fusion for coronary artery disease detection and classification
Autor: Sumair Aziz, Galila F. Zaher, Shareefa A. ALGhamdi, Khushbakht Iqtidar, Muhammad Umar Khan, Munazza Gull
Publikováno v: Multimedia Tools and Applications. 81:13661-13690
According to the World Health Organization, Coronary Artery Disease (CAD) is a leading cause of death globally. CAD is categorized into three types, namely Single Vessel Coronary Artery Disease (SVCAD), Double Vessel Coronary Artery Disease (DVCAD),
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::506e2fb985069eb93af4f03cd5e5e854
https://doi.org/10.1007/s11042-021-10805-3
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10
Expert Hypertension Detection System Featuring Pulse Plethysmograph Signals and Hybrid Feature Selection and Reduction Scheme
Autor: Fatima Amjad, Sumair Aziz, Tallha Akram, Muhammad Umar Khan, Khushbakht Iqtidar, Muhammad Attique Khan, Yunyoung Nam
Publikováno v: Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 1
Sensors, Vol 21, Iss 247, p 247 (2021)
Hypertension is an antecedent to cardiac disorders. According to the World Health Organization (WHO), the number of people affected with hypertension will reach around 1.56 billion by 2025. Early detection of hypertension is imperative to prevent the
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29c686427dde8c0330491869c6598b03
http://europepmc.org/articles/PMC7794944
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