Non-contact lung disease classification via orthogonal frequency division multiplexing-based passive 6G integrated sensing and communication

The proposed method could enable real-time respiratory disease screening, could help realize the health equity in developing countries, and lays the groundwork for 6G/WiFi-enabled integrated sensing and communication platforms for healthcare systems of the future.

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Publication Details

Journal
Communications Medicine
Published
2026-01-06
DOI
https://doi.org/10.1038/s43856-025-01181-2
Primary Topic
Sparse and Compressive Sensing Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Non-contact lung disease classification via orthogonal frequency division multiplexing-based passive 6G integrated sensing and communication

Adnan Noor Mian, Muhammad Mahboob Ur Rahman, Hasan Mujtaba Buttar, Q. Abbasi et al.
Communications Medicine
Sparse and Compressive Sensing Techniques
article

Non-contact lung disease classification via orthogonal frequency division multiplexing-based passive 6G integrated sensing and communication

Adnan Noor Mian, Muhammad Mahboob Ur Rahman, Hasan Mujtaba Buttar, Q. Abbasi, Adnan Zahid, Muhammad Wasim Nawaz
article en

Abstract

The proposed method could enable real-time respiratory disease screening, could help realize the health equity in developing countries, and lays the groundwork for 6G/WiFi-enabled integrated sensing and communication platforms for healthcare systems of the future.

Communications MedicineVol. 6(1)
Abu Dhabi University (AE), Information Technology University (PK), University of Lahore (PK), Heriot-Watt University (GB), University of Glasgow (GB)
Engineering and Physical Sciences Research Council
Reduced inequalities
Openalex Percentile: Top 96%
Sparse and Compressive Sensing Techniques
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