Enhanced human activity recognition in medical emergencies using a hybrid deep CNN and bi-directional LSTM model with wearable sensors.
- DOI
- 10.1038/s41598-024-82045-y
- Published
- 2024 Dec 28
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
serious concern Score 10/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- serious concernRetraction Watch retraction: 1 retraction notice matched this DOI.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- supportingOpen access status: Normalized open-access status: open.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1038/s41598-024-82045-y,
title = {Enhanced human activity recognition in medical emergencies using a hybrid deep CNN and bi-directional LSTM model with wearable sensors.},
author = {Chandramouli NA and Natarajan S and Alharbi AH and Kannan S and Khafaga DS and Raju SK and Eid MM and El-Kenawy EM},
year = {2024},
journal = {Scientific reports},
doi = {10.1038/s41598-024-82045-y},
url = {https://doi.org/10.1038/s41598-024-82045-y}
}RIS
TY - JOUR TI - Enhanced human activity recognition in medical emergencies using a hybrid deep CNN and bi-directional LSTM model with wearable sensors. AU - Chandramouli NA AU - Natarajan S AU - Alharbi AH AU - Kannan S AU - Khafaga DS AU - Raju SK AU - Eid MM AU - El-Kenawy EM PY - 2024 JO - Scientific reports DO - 10.1038/s41598-024-82045-y UR - https://doi.org/10.1038/s41598-024-82045-y ER -
APA
NA, C., S, N., AH, A., S, K., DS, K., SK, R., MM, E., & EM, E. (2024). Enhanced human activity recognition in medical emergencies using a hybrid deep CNN and bi-directional LSTM model with wearable sensors.. Scientific reports. https://doi.org/10.1038/s41598-024-82045-y
Source records
- pubmed · retrieved 2026-11-10T12:31:25.942Z