Search Results

Identification of Cardiac Patients Based on the Medical Conditions Using Machine Learning Models.

• Authors : Kumar, Krishna¹ (AUTHOR); Kumar, Narendra² (AUTHOR); Kumar, Aman^3,4 (AUTHOR)

Subjects: *CARDIAC patients; *MEDICAL databases; *MACHINE learning

• Source: Computational Intelligence & Neuroscience. 7/20/2022, p1-15. 15p.

Record details

Internet of Things (IoT) for cardiac patients: A comparative study

• Authors : Helmy, Salma Mostafa A.; Alfonse, Marco; Amar, Ayman Mahmoud

• Source: 2021 Tenth International Conference on Intelligent Computing and Information Systems (ICICIS) Intelligent Computing and Information Systems (ICICIS), 2021 Tenth International Conference on. :297-302

Record details

An Overview of QT Dispersion Finding in Cardiac Patients, Review Article.

• Authors : Sanad, Ahmed Mohamed¹ ; Ghazal, Kamel Hasan²; Eltahlawi, Mohammad Abdalla²

Subjects: *CARDIAC patients; *DISPERSION (Chemistry)

• Source: Egyptian Journal of Hospital Medicine. 10/3/2021, Vol. 85 Issue 2, p3805-3809. 5p.

Record details

Cardiac Patients Monitoring at a Distance

• Authors : Ananth, Christo

Subjects: Microcontrollers; Heart--Diseases--Patients; Heart--Diseases--PreventionMEDICAL / Evidence-Based Medicine; HEALTH & FITNESS / Diseases & Conditions / General; MEDICAL / Clinical Medicine

Record details

Performance Analysis of Oscillometric Blood Pressure Estimation Techniques in Cardiac Patients

• Authors : Sidhu, Ekambir; Yoshida, Masayoshi; Groza, Voicu Z.

• Source: 2019 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Medical Measurements and Applications (MeMeA), 2019 IEEE International Symposium on. :1-6 Jun, 2019

Record details

Effects of resistance added on aerobic training on autonomic function in cardiac patients.

• Authors : Saeidi, Marzieh¹; Ravanbod, Roya¹

Subjects: *AEROBIC exercises; *CARDIAC patients; *HEART beat

• Source: Anatolian Journal of Cardiology / Anadolu Kardiyoloji Dergisi. Feb2022, Vol. 26 Issue 2, p80-89. 10p.

Record details

Superior reproducibility and repeatability in automated quantitative pupillometry compared to standard manual assessment, and quantitative pupillary response parameters present high reliability in critically ill cardiac patients.

• Authors : Nyholm, Benjamin¹ (AUTHOR) ; Obling, Laust¹ (AUTHOR); Hassager, Christian¹ (AUTHOR)

Subjects: *PUPILLARY reflex; *PUPILLOMETRY; *CARDIAC patients

• Source: PLoS ONE. 7/28/2022, Vol. 17 Issue 7, p1-15. 15p.

Record details

Effects of adding low-dose ketamine to etomidate on serum cortisol levels in critically ill cardiac patients: a randomized clinical trial

• Authors : Mostafa Mohammed Elhamamsy; Ahmed Mohammed Aldemerdash; Fathi Badie Zahran

Subjects: Critically ill cardiac patients; Acute anemia; Upper endoscopy and Colonoscopy

• Source: BMC Anesthesiology, Vol 22, Iss 1, Pp 1-7 (2022)

Record details

Real Time ECG Monitoring and Arrhythmia Detection of Rural Cardiac Patients through Telemedicine

• Authors : R, Ramu; G, Shiny; A, Sukesh Kumar

• Source: 2020 IEEE Recent Advances in Intelligent Computational Systems (RAICS) Intelligent Computational Systems (RAICS), 2020 IEEE Recent Advances in. :68-73 Dec, 2020

Record details

Minimally invasive clinical monitoring and data transference in cardiac patients

• Authors : Baczkowski, Emma

Subjects: Q Science (General)

Record details