A Smart System for Automated Medical Emergency Alerts

Automated alerting systems for medical emergencies leverage technology to detect, analyzeand alert caregivers during health crises. By monitoring vital signs and environmentalfactors these systems can trigger emergency responses which can significantly improvingpatient outcomes [1]. This paper reviews recent advancements in automated alertingsystems by focusing on methodologies utilizing machine learning, IoT integration andwearable technologies.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-24
DOI
https://doi.org/10.5281/zenodo.17188960
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
Field-Weighted Citation Impact
0.00
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article

A Smart System for Automated Medical Emergency Alerts

Zenodo (CERN European Organization for Nuclear Research)
Non-Invasive Vital Sign Monitoring
article

A Smart System for Automated Medical Emergency Alerts

article en

Abstract

Automated alerting systems for medical emergencies leverage technology to detect, analyzeand alert caregivers during health crises. By monitoring vital signs and environmentalfactors these systems can trigger emergency responses which can significantly improvingpatient outcomes [1]. This paper reviews recent advancements in automated alertingsystems by focusing on methodologies utilizing machine learning, IoT integration andwearable technologies.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 52%
Non-Invasive Vital Sign Monitoring
DOIOpen Access PDFOpenAlex
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A Smart System for Automated Medical Emergency Alerts · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS