Cited by 311Artificial Intelligence in HealthcareWireless Body Area NetworksContext-Aware Activity Recognition Systems

A multi-sensor data fusion enabled ensemble approach for medical data from body sensor networks

Muzammal, Muhammad, Talat, Romana, Sodhro, Ali Hassan, Pirbhulal, Sandeep·2020·Information Fusion

Integrity signals

Registry

Crossref · 10.1016/j.inffus.2019.06.021

Cites

55 of 55 references verified0 citation errors · 0 not checkable

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Recomputing p-values needs the paper’s full text.

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Cites

1 retracted

Flagged first, then by citations

2 of the 57 references couldn’t be matched to a known paper.

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Authors
Muzammal, M., Talat, R., Sodhro, A. H., & Pirbhulal, S.
Affiliations
  • Bahria University (PK)
  • Linköping University (SE)
  • Chinese Academy of Sciences (CN)
Corresponding author
Pirbhulal, Sandeep
Venue
Information Fusion
Publisher
Elsevier BV
Published
2020-01
Volume
53
Pages
155-164
ISSN
1566-2535 (ISSN-L)
OpenAlex
W2949754992
Cited by
311
References
57
Citations by year
2026: 12 · 2025: 38 · 2024: 39 · 2023: 52 · 2022: 45 · 2021: 70 · 2020: 44 · 2019: 11
FWCI
46.56
Type
journal article
Language
en
Open access
closed
Locations
Information Fusion (publishedVersion)
Topics
  • Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
  • Physical Sciences › Engineering › Biomedical Engineering › Wireless Body Area Networks
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
Keywords
wireless body sensor networks, sensor fusion, ensemble classifiers, fog computing, wearable sensors, activity data, health data

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