Hybrid Conferencee

International Conference on Biomedical Signal Acquisition and Processing (ICBSAP - 26)

7th - 8th October 2026 | Mutrah, Oman

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Call for Papers Extended:
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Certificate of Presentation:
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Abstract Submissions Open:
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Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Mutrah conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Mutrah, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Mutrah."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 3
SDG 3 Good Health and Well-being
SDG 4
SDG 4 Quality Education
SDG 9
SDG 9 Industry, Innovation and Infrastructure
Track 01

Advancements in Biomedical Signal Acquisition

This track focuses on the latest technologies and methodologies for acquiring biomedical signals, including ECG and EEG. Participants will explore innovations that enhance the quality and reliability of signal collection in clinical and research settings.

Track 02

Predictive Modeling in Biomedical Engineering

This session will delve into the development and application of predictive modeling techniques in biomedical contexts. Emphasis will be placed on supervised and unsupervised learning approaches to improve patient outcomes.

Track 03

Deep Learning Applications in Biosignal Processing

This track examines the integration of deep learning techniques in the analysis of biosignals. Discussions will include case studies demonstrating the effectiveness of these methods in real-world biomedical applications.

Track 04

Anomaly Detection in Biomedical Signals

Focusing on the identification of anomalies in biomedical signals, this session will cover various algorithms and their applications. Participants will learn about the significance of early detection in improving patient care.

Track 05

Feature Extraction Techniques for Biosignal Analysis

This track will explore advanced feature extraction methods tailored for biomedical signals. Participants will discuss how these techniques enhance the performance of predictive models in healthcare.

Track 06

Workflow Automation in Biomedical Engineering

This session addresses the automation of workflows in biomedical signal processing and analysis. Attendees will learn about tools and frameworks that streamline processes and improve efficiency in research and clinical environments.

Track 07

System Monitoring and Model Evaluation

This track focuses on the importance of system monitoring and the evaluation of predictive models in biomedical applications. Participants will discuss best practices for ensuring model reliability and performance in dynamic healthcare settings.

Track 08

Industrial IoT in Biomedical Signal Processing

This session explores the intersection of industrial IoT and biomedical signal processing. Discussions will highlight how IoT technologies can enhance data acquisition and real-time monitoring in healthcare.

Track 09

Digital Twin Technologies in Biomedical Engineering

This track examines the role of digital twin technologies in simulating and optimizing biomedical processes. Participants will explore case studies that demonstrate the potential of digital twins in predictive maintenance and process optimization.

Track 10

Simulation and Analytics in Biomedical Applications

Focusing on simulation techniques and analytics, this session will cover their applications in biomedical engineering. Participants will learn how these methods can drive innovation and improve decision-making in healthcare.

Track 11

Neural Signal Processing Techniques

This track will delve into advanced techniques for processing neural signals, including EEG and other neurophysiological data. Participants will discuss the implications of these techniques for understanding brain function and developing therapeutic interventions.