Designing a LoRa-based Smart Helmet to Aid in Emergency Detection by Monitoring Bio-signals

Background: Hospital service is a process that involves all elements in the hospital including nurses and inpatient rooms or nursing wards. Different inpatient conditions will be treated in separated wards, by the same token patients with unstable conditions are admitted in intensive care units, this procedure aims to reduce the mortality incidence due to sudden cardiac arrest, therefore early detection of patients’ clinical deterioration using the early warning score system performed by the nurse in the nursing wards is required. Objective: This review study is a summary of the early warning system implementation in the nursing wards. Design: The data was obtained from international journal providers Proquest and Ebsco databases. The author accessed unair.remotexs.co website. Review Methods: Narative Review. Results: Early warning score is an effective intervention for emergency detection in patients. Conclusion: Early detection clinical emergency or known as the Early Warning Score System (EWSS) is the application of a scoring system for early detection of patient's condition before a worsening situation occurs. The implementation of this scoring system is necessary due to the high rate of deterioration of patient conditions that requiring immediate management to prevent profound deterioration and its subsequent adverse effect Keywords : Early warning system;nurse care;literatur;review

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Tracking and emergency detection of inland vessel using GPS-GSM system

2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT) ◽

10.1109/rteict.2017.8256957 ◽

2017 ◽

Author(s):

Swapna Ch ◽

Mukesh Kumar ◽

Nawal kishor Yadav ◽

Niraj Kumar ◽

Sai Shiva

Keyword(s):

Emergency Detection

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Exploiting Home Infrastructure Data for the Good: Emergency Detection by Reusing Existing Data Sources

Advances in Intelligent Systems and Computing - Human Interaction, Emerging Technologies and Future Applications IV ◽

10.1007/978-3-030-74009-2_7 ◽

2021 ◽

pp. 51-58

Author(s):

Sebastian Wilhelm

Keyword(s):

Data Sources ◽

Emergency Detection ◽

Existing Data

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A Reputation-aware Mobile Crowd Sensing Scheme for Emergency Detection

2019 IEEE Symposium on Computers and Communications (ISCC) ◽

10.1109/iscc47284.2019.8969627 ◽

2019 ◽

Cited By ~ 1

Author(s):

Rawan F. El Khatib ◽

Nizar Zorba ◽

Hossam S. Hassanein

Keyword(s):

Mobile Crowd Sensing ◽

Crowd Sensing ◽

Emergency Detection ◽

Mobile Crowd

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Acceptance of Smart Electronic Monitoring at Work as a Result of a Privacy Calculus Decision

Informatics ◽

10.3390/informatics6030040 ◽

2019 ◽

Vol 6 (3) ◽

pp. 40

Author(s):

Evgenia Princi ◽

Nicole C. Krämer

Keyword(s):

Electronic Monitoring ◽

Detection System ◽

Monitoring Systems ◽

The Internet ◽

Privacy Concerns ◽

User Data ◽

Privacy Calculus ◽

System Acceptance ◽

Emergency Detection ◽

The Internet Of Things

Smart technology in the area of the Internet of Things (IoT) that extensively gathers user data in order to provide full functioning has become ubiquitous in our everyday life. At the workplace, individual’s privacy is especially threatened by the deployment of smart monitoring technology due to unbalanced power relations. In this work we argue that employees’ acceptance of smart monitoring systems can be predicted based on privacy calculus considerations and trust. Therefore, in an online experiment (N = 661) we examined employees’ acceptance of a smart emergency detection system, depending on the rescue value of the system and whether the system’s tracking is privacy-invading or privacy-preserving. We hypothesized that trust in the employer, perceived benefits and risks serve as predictors of system acceptance. Moreover, the moderating effect of privacy concerns is analyzed.

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