Biomedical Sensor Integration

Biomedical Sensor Integration is a scholarly framework that systematically combines data from multiple biological and physiological sensors to achieve enhanced accuracy, reliability, and contextual interpretation in healthcare monitoring and diagnostic applications, distinguished by its focus on interoperability, signal fidelity, and clinical relevance within the broader domain of sensor integration.

52

Publications

2.5K

Citations

259

Authors

97

Institutions

Publications per year

2017–2026

17

Authors

259

  1. JL
    Jing Liu

    Chinese Academy of Sciences, China

    2 publications · 24 citations

    2

    h-index

  2. MT
    Mette Toft

    Bispebjerg Hospital, Denmark

    1 publications · 98 citations

    1

    h-index

  3. MA
    Michael A. Daniele

    North Carolina State University, United States

    1 publications · 55 citations

    1

    h-index

  4. TS
    T. Sánchez-Rodríguez

    Universidad de Sevilla, Spain

    1 publications · 14 citations

    1

    h-index

  5. AH
    Alison H. McGregor

    Imperial College London, United Kingdom

    1 publications · 123 citations

    1

    h-index

1–5 of 259

Venues

  1. 4

    h-index

  2. 2

    h-index

  3. Sensors and Actuators A Physical

    2 publications · 90 citations

    2

    h-index

  4. Journal of Communications

    JCM · 1 publications · 13 citations

    1

    h-index

  5. Measurement

    1 publications · 29 citations

    1

    h-index

1–5