
03 de noviembre - 05 de noviembre de 2025
Body Sensor Networks
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Resumen General
The IEEE-EMBS International Conference on Body Sensor Networks (BSN 2025) is the premier conference on sensing systems for digital health, with the theme "Computational Medicine: Expanding Health through Sensing and AI." The conference will be held in Los Angeles, California, USA, from November 3-5, 2025, and will bring together leaders from academia, industry, and healthcare.
IEEE-EMBS BSN 2025: Call for Technical Papers
The IEEE-EMBS International Conference on Body Sensor Networks (BSN 2025) will be held in Los Angeles, California, USA, from November 3 – 5, 2025. The conference theme is “Computational Medicine: Expanding Health through Sensing and AI.”
BSN 2025 will provide a cross-disciplinary, highly selective, single-track forum for cutting-edge research related to devices and sensors, hardware and software systems, predictive models, and data analytics in the healthcare/medical domains.
Submission Types and Guidelines
- Regular 4-page technical papers
- 1-page technical abstracts
- 1-page clinical abstracts
All page limits include references. Papers are required to follow the IEEE Conference template format.
BSN adopts a single-blind review process, allowing authors to include their names and affiliations in the submission.
Topics of Interest
- Novel digital health solutions (i.e., sensors and algorithms) for diagnosis, disease progress tracking, and self-management.
- Sensors and systems for digital health, wellness, and athletics.
- Conformable decoders: unintrusive, comfortable, self-powered sensors and systems.
- Flexible, stretchable, and imperceptible electronics for sensors and systems.
- Contact-less solutions for human sensing.
- Power-optimization for implantable and wearable sensors and systems.
- Wearable robotics system for digital healthcare.
- Signal processing, machine learning, deep learning, and decision-support algorithms.
- Adaptive, personalized intervention systems by closing the loop between technologies and humans.
- Security, privacy, and trust in digital health technologies.
- Optimization and personalization for digital health technologies and outcomes.
- Human-centered design for digital healthcare to address real-world stakeholder needs.
- Emerging topics such as Agentic AI and LLMs for computational health
Important Dates
- Workshop Proposal Deadline: June 15, 2025
- Workshop Acceptance Notification: June 29, 2025
- Paper Submission Deadline: July 11, 2025
- Abstract, Clinical abstracts, and Demo Submission Deadline: July 11, 2025
- Paper Acceptance Notification: August 1, 2025
- Abstract Acceptance Notification: August 1, 2025
- Late Breaking Abstract Deadline: August 10, 2025
- Late Breaking Abstract Notification: August 24, 2025
- Camera-Ready Deadline: September 1, 2025
- Conference: November 3-5, 2025
All deadlines are 11:59 pm AoE (Anywhere on Earth).
Awards and Recognition
- Best paper, poster, and demo awards recognizing excellent contributions.
- Excellent papers will be invited for extension and rapid review at the IEEE Open Journal of Engineering in Medicine and Biology.
- Student Travel Awards will be provided to selected students from worldwide institutions.
Submission Portal
Submit your 4-page technical paper here: https://openreview.net/group?id=IEEE.org/EMBS/BSN/2025/Conference&referrer=%5BHomepage%5D(%2F)#tab-your-consoles
Presenter Guidelines
Refer to the Presenter Guidelines for detailed information.
Fechas Importantes
Fechas del Congreso
Conference Date
3 de noviembre de 2025 → 5 de noviembre de 2025
Envío
Workshop Proposal Deadline
15 de junio de 2025
Abstract, Clinical abstracts, and Demo Submission Deadline
11 de julio de 2025
Paper Submission Deadline
11 de julio de 2025
Notificación
Workshop Acceptance Notification
29 de junio de 2025
Abstract Acceptance Notification
8 de agosto de 2025
Paper Acceptance Notification
8 de agosto de 2025
Versión Final
Camera-Ready Deadline
1 de septiembre de 2025
Clasificación de la Fuente
Fuente: CORE2023
Clasificación: C
Campo de Investigación: Applied computing