WITHDRAWN: Development of a remote health care wireless sensor network based on wireless spread spectrum communication networks

Rida, Jafaar Fahad A.

doi:10.1016/j.matpr.2021.02.534

Cited by 6 publications

(2 citation statements)

References 12 publications

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“…A home health monitoring system is proposed in this research chapter to identify heart related risks and monitor oxygen level in a person by utilizing BSN simulator and energy performance of the network. This model helps to monitor and identify two types of condition in a person i.e., people with heart diseases and people who needs oxygen levels monitoring after recovery from the coronavirus disease [30].An IoT-based remote healthcare monitoring system is proposed in [39] that basically provides patient health conditions through Web browser. For simulation of the proposed framework Contiki OS with 6LoWPAN protocol stack and Cooja OS are used.…”

Section: Wireless Sensor Network (Wsn)mentioning

confidence: 99%

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Post-Covid Remote Patient Monitoring using Medical Internet of Things and Machine Learning Analytics

Rahman

Parveen

Sofi

et al. 2023

SCPE

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The Covid-19 pandemic disturbed the smooth functioning of healthcare services throughout the world. New practices such as masking, social distancing and so on were followed to prevent the spread. Further, the severity of the problem increases for the elderly people and people having co-morbidities as proper medical care was not possible and as a result many deaths were recorded. Even for those patients who recovered from Covid could not get proper health monitoring in the Post-Covid phase as a result many deaths and severity in health conditions were reported after the Covid recovery i.e., the Post-Covid era. Technical interventions like the Internet of Things (IoT) based remote patient monitoring using Medical Internet of Things (M-IoT) wearables is one of the solutions that could help in the Post-Covid scenarios. The paper discusses a proposed framework where in a variety of IoT sensing devices along with ML algorithms are used for patient monitoring by utilizing aggregated data acquired from the registered Post-Covid patients. Thus, by using M-IoT along with Machine Learning (ML) approaches could help us in monitoring Post-Covid patients with co-morbidities for and immediate medical help.

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Section: Wireless Sensor Network (Wsn)mentioning

confidence: 99%

“…Delgado et.al [33] Cognitive computing Generic Post-Covid Singh et.al [35] Fog, IoT. Gardians, doctors Both Parker et.al [39] Wearables Generic Covid Hussain et.al [40] Wearables, Data analytics, Random Forest. Generic Covid Hemamalini et.al [41] Bio Medical Sensors.wearables, AI Generic Covid Rida et.al [45] Wireless network.…”

Section: Generic Bothmentioning

confidence: 99%

Post-Covid Remote Patient Monitoring using Medical Internet of Things and Machine Learning Analytics

Rahman

Parveen

Sofi

et al. 2023

SCPE

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Telemedicine platform for health assessment remotely by an integrated nanoarchitectonics FePS3/rGO and Ti3C2-based wearable device

2022

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Due to the emergence of various new infectious (viral/bacteria) diseases, the remote surveillance of infected persons has become most important, especially if hospitals need to isolate infected patients to prevent the spreading of pathogens to health care personnel. Therefore, we develop a remote health monitoring system by integrating a stretchable asymmetric supercapacitor (SASC) as a portable power source with sensors that can monitor the human physical health condition in real-time and remotely. An abnormal body temperature and breathing rate could indicate a person’s sickness/infection status. Here we integrated FePS3@graphene-based strain sensor and SASC into an all-in-one textile system and wrapped it around the abdomen to continuously monitor the breathing cycle of the person. The real body temperature was recorded by integrating the temperature sensor with the SASC. The proposed system recorded physiological parameters in real-time and when monitored remotely could be employed as a screening tool for monitoring pathogen infection status.

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TEMSEP: Threshold-Oriented and Energy-Harvesting Enabled Multilevel SEP Protocol for Improving Energy-Efficiency of Heterogeneous WSNs

Abdul-Qawy¹,

Nasser

Guroob

et al. 2021

IEEE Access

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WITHDRAWN: Development of a remote health care wireless sensor network based on wireless spread spectrum communication networks

Cited by 6 publications

References 12 publications

Post-Covid Remote Patient Monitoring using Medical Internet of Things and Machine Learning Analytics

Post-Covid Remote Patient Monitoring using Medical Internet of Things and Machine Learning Analytics

Telemedicine platform for health assessment remotely by an integrated nanoarchitectonics FePS3/rGO and Ti3C2-based wearable device

TEMSEP: Threshold-Oriented and Energy-Harvesting Enabled Multilevel SEP Protocol for Improving Energy-Efficiency of Heterogeneous WSNs

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