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Conference articles · 2026

Towards Developing an mHealth Platform for Stroke Screening Utilizing Audio-Video Recordings

Kazi Shafiul Alam, Subho Ghose, Paramita Basak Upama, Masud Rabbani, Iysa Iqbal, Hansika Kolli, Sheikh Iqbal Ahamed

2026 IEEE International Conference on Digital Health (ICDH) · Pages 41–51

Abstract

Stroke is a leading cause of death and long-term disability worldwide, where rapid and accurate stroke identification is crucial for effective clinical management. Failure to detect stroke symptoms in the prehospital or community setting is a critical barrier to timely treatment and remains a leading cause of preventable disability. In this paper, we present a structured comparative survey of 35 original research papers on digital health tools for stroke screening and detection. We compared and classified these works across clinical purpose, input modality, and decision mechanism, and identified a significant gap: only two existing systems combine audiovisual input with fully automated AI decision-making for stroke screening. Motivated by this finding, we propose a novel mobile application framework that uses a smartphone front camera and microphone to capture short audiovisual clips of the face to produce a real-time risk flag without requiring clinician involvement. The proposed system can be applied in prehospital triage, community screening, and remote health monitoring without a healthcare assistant.

Publication details

Category
Conference articles
Authors & affiliations
  1. Kazi Shafiul AlamDivision of Science Mathematics and Technology, Governors State University, University Park, IL, USA
  2. Subho GhoseUbicomp Lab, Department of Computer Science, Marquette University, Milwaukee, WI, USA
  3. Paramita Basak UpamaUbicomp Lab, Department of Computer Science, Marquette University, Milwaukee, WI, USA
  4. Masud RabbaniUbicomp Lab, Department of Computer Science, Marquette University, Milwaukee, WI, USA
  5. Iysa IqbalUbicomp Lab, Department of Computer Science, Marquette University, Milwaukee, WI, USA
  6. Hansika KolliUbicomp Lab, Department of Computer Science, Marquette University, Milwaukee, WI, USA
  7. Sheikh Iqbal AhamedUbicomp Lab, Department of Computer Science, Marquette University, Milwaukee, WI, USA
Venue
2026 IEEE International Conference on Digital Health (ICDH)
Publisher
IEEE
Record
Pages 41–51
Published
2026
Cite this work

Kazi Shafiul Alam, Subho Ghose, Paramita Basak Upama, Masud Rabbani, Iysa Iqbal, Hansika Kolli, Sheikh Iqbal Ahamed. “Towards Developing an mHealth Platform for Stroke Screening Utilizing Audio-Video Recordings”. 2026 IEEE International Conference on Digital Health (ICDH), 41–51. (2026). https://doi.org/10.1109/ICDH72779.2026.00014.

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Research topics

  • Stroke screening
  • Stroke detection
  • Audio-video recordings
  • mHealth
  • Prehospital triage
  • mobile health
  • smartphone sensing
  • peer-reviewed conference paper
  • applied computing research

Research context

Explore the connected research focus

Non-invasive health sensing