M.Sc. (Tech) Ismail Elnaggar - UTU Research Portal

Ismail Elnaggar
M.Sc. (Tech)

- Doctoral Researcher,
Health Technology (Department of Computing)
- Doctoral Researcher,
Department of Computing (Faculty of Technology)

ismail.m.elnaggar@utu.fi

ORCID identifier: https://orcid.org/0000-0002-2230-983X

Google Scholar

Areas of expertise

Biomedical Engineering; Health Technology; Medical Data Analytics; Bio-signal Processing;

Research community or research topic

NewLife Project, Moore4Medical Project

Biography

B.S. in Electrical and Computer Engineering from The Ohio State University.
M.Sc. (Tech) in Medical Analytics and Health IoT from the University of Turku.

Currently working as a project researcher and PhD researcher at the Digital Health Technology Group located at the University of Turku.

Research

My research centers on non-invasive wearable heart disease monitoring and detection systems. The focus of my work consists of investigating seismocardiography (SCG), gyrocardiography (GCG), and ballistocardiography (BCG) to better understand how these bio signals can be used in future technologies that may aid clinicians in detecting and monitoring different kinds of heart disease.

Teaching

Teaching Assistant for:

DTEK0042 Acquistion and Analysis of Biosginals

DTEK0086 Biosignal Analytics

DTEK2062 Lääketieteellisen tekniikan ja terveysteknologian laboratoriotyöt

DTEK2095 Analytics and Programming for Health Wearables

Publications

(2025)
- Physiological Measurement
Sandelin, Jonas; Lahdenoja, Olli; Elnaggar, Ismail; Rekola, Rami; Anzanpour, Arman; Seifizarei, Sepehr; Kaisti, Matti; Koivisto, Tero; Lehto, Joel; Nuotio, Joonas; Jaakkola, Jussi; Relander, Arto; Vasankari, Tuija; Airaksinen, Juhani; Kiviniemi, Tuomas
(A1 Refereed original research article in a scientific journal)
Continuous Radar-based Heart Rate Monitoring using Autocorrelation-based Algorithm in Intensive Care Unit (2025)
- IEEE Journal of Biomedical and Health Informatics
Seifizarei, Sepehr; Elnaggar, Ismail; Anzanpour, Arman; Sandelin, Jonas; Lahdenoja, Olli; Glassee, Miguel; Castro, Ivan D.; Torfs, Tom; van de Poll, Marcel C. G.; Airola, Antti; Kaisti, Matti; Koivisto, Tero
(A1 Refereed original research article in a scientific journal)
Cross-Dataset Validation of a Sensor Agnostic Seismocardiography Peak Detection Method (2025) 2025 IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE) Elnaggar, Ismail; Seifizarei, Sepehr; Sandelin, Jonas; Lahdenoja, Olli; Airola, Antti; Kaisti, Matti; Koivisto, Tero
(A4 Refereed article in a conference publication )
(2025)
- IEEE Sensors Journal
Zhao, Yangyang; Lahdenoja, Olli; Elnaggar, Ismail; Vasankari, Tuija; Jaakkola, Samuli; Kiviniemi, Tuomas; Airaksinen, Juhani; Kaisti, Matti; Koivisto, Tero
(A1 Refereed original research article in a scientific journal)
Evaluating Piezoelectric Ballistocardiography for Post-Surgical Heart Rate Monitoring (2024)
- Computing in Cardiology
Computing in Cardiology 2024 Seifizarei, Sepehr; Elnaggar, Ismail; Rikken, Lars; Anzanpour, Arman; Linckens, Stephan; Toffoli, Enrico; Vandewauw, Ine; Van De Poll, Marcel CG; Airola, Antti; Kaisti, Matti; De Kok, Margreet; Koivisto, Tero
(A4 Refereed article in a conference publication )
Generating Synthetic Mechanocardiograms for Machine Learning Based Peak Detection (2024)
- IEEE Sensors Letters
Sandelin, Jonas; Elnaggar, Ismail; Lahdenoja, Olli; Kaisti, Matti; Koivisto, Tero
(A1 Refereed original research article in a scientific journal)
(2022)
- Computing in Cardiology
Computing in Cardiology 2022 Elnaggar Ismail, Pykäri Jouni, Hurnanen Tero, Lahdenoja Olli, Airola Antti, Kaisti Matti, Vasankari Tuija, Savontaus Mikko, Koivisto Tero
(A4 Refereed article in a conference publication )
Multichannel Bed Based Ballistocardiography Heart Rate Estimation Using Continuous Wavelet Transforms and Autocorrelation (2022)
- Computing in Cardiology
Computing in Cardiology 2022 Elnaggar Ismail, Hurnanen Tero, Sandelin Jonas, Lahdenoja Olli, Airola Antti, Kaisti Matti, Koivisto Tero
(A4 Refereed article in a conference publication )
Detecting Aortic Stenosis Using Seismocardiography and Gryocardiography Combined with Convolutional Neural Networks (2021)
- Computing in Cardiology
2021 Computing in Cardiology (CinC) Elnaggar Ismail, Hurnanen Tero, Lahdenoja Olli, Airola Antti, Kaisti Matti, Vasankari Tuija, Pykäri Jouni, Savontaus Mikko, Koivisto Tero
(A4 Refereed article in a conference publication )