A QoS-Aware IoT Edge Network for Mobile Telemedicine Enabling In-Transit Monitoring of Emergency Patients

Addressing the inadequacy of medical facilities in rural communities and the high number of patients affected by ailments that need to be treated immediately is of prime importance for all countries. The various recent healthcare emergency situations bring out the importance of telemedicine and dema...

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Bibliographic Details
Published in:Future internet 2024-02, Vol.16 (2), p.52
Main Authors: Mukhopadhyay, Adwitiya, Remanidevi Devidas, Aryadevi, Rangan, Venkat P., Ramesh, Maneesha Vinodini
Format: Article
Language:English
Subjects:
Algorithms
Ambulances
Analysis
Communication
COVID-19
Data transmission
Developing countries
Disease transmission
edge
Edge computing
Electrocardiography
Emergency medical services
Emergency vehicles
fog
Health aspects
Health care access
Health care facilities
Health services
Hospitals
Internet
IoT
LDCs
Packets (communication)
Pandemics
Patients
Physicians
Portable equipment
Quality of service architectures
Real time
Risk assessment
Rural areas
Rural communities
Telemedicine
VANETs
Wi-Fi
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Summary:Addressing the inadequacy of medical facilities in rural communities and the high number of patients affected by ailments that need to be treated immediately is of prime importance for all countries. The various recent healthcare emergency situations bring out the importance of telemedicine and demand rapid transportation of patients to nearby hospitals with available resources to provide the required medical care. Many current healthcare facilities and ambulances are not equipped to provide real-time risk assessment for each patient and dynamically provide the required medical interventions. This work proposes an IoT-based mobile medical edge (IM2E) node to be integrated with wearable and portable devices for the continuous monitoring of emergency patients transported via ambulances and it delves deeper into the existing challenges, such as (a) a lack of a simplified patient risk scoring system, (b) the need for architecture that enables seamless communication for dynamically varying QoS requirements, and (c)the need for context-aware knowledge regarding the effect of end-to-end delay and the packet loss ratio (PLR) on the real-time monitoring of health risks in emergency patients. The proposed work builds a data path selection model to identify the most effective path through which to route the data packets in an effective manner. The signal-to-noise interference ratio and the fading in the path are chosen to analyze the suitable path for data transmission.
ISSN:1999-5903
1999-5903
DOI:10.3390/fi16020052