Architectural design for remote patient monitoring system implementation in hematology units: a proposed model DOI Creative Commons

Rania Mohammed Ahmed

Cybrarians Journal, Journal Year: 2024, Volume and Issue: 73, P. 88 - 110

Published: Dec. 25, 2024

Information and communication technology (ICT) has been pivotal in healthcare. In particular, wireless wearable sensors have garnered more attention They allow for real-time healthcare monitoring systems, early diagnosis, timely treatment, which can significantly reduce unnecessary loss of lives primarily due to delays response providers, Furthermore, low professionals-to-patient ratios. This study proposes a framework remote patient (RPM) managing haemophilic children Egypt. program is designed health data management inside the Regional Blood Transfusion Center (RBTC) at Therapeutic Unit Alexandria. Meanwhile, it employs descriptive-analytical method investigate impact Wireless Body Sensor Networks (WBSN) on collection physical data. Moreover, this outlines planning strategy integrating Area Network (WBAN) into telemonitoring emphasizing its applications within healthcare, particularly haematology. The results indicate effectiveness RPM improving experience, medication compliance, reducing hospital readmissions. monitors wirelessly patients’ physiological parameters transmitting Electronic Medical Record (EMR) real-time, alerting providers when abnormal readings are detected. concludes that home therapy lead prompt optimal thereby pain, dysfunction, long-term disability patients.

Language: Английский

HCEL: Hybrid Clustering Approach for Extending WBAN Lifetime DOI Creative Commons
Heba Helal, Farag Sallabi, Mohamed A. Sharaf

et al.

Mathematics, Journal Year: 2024, Volume and Issue: 12(7), P. 1067 - 1067

Published: April 2, 2024

Wireless body area networks (WBANs) have emerged as a promising solution for addressing challenges faced by elderly individuals, limited medical facilities, and various chronic conditions. WBANs consist of wearable sensing computing devices interconnected through wireless communication channels, enabling the collection transmission vital physiological data. However, energy constraints battery-powered sensor nodes in pose significant challenge to ensuring long-term operational efficiency. Two-hop routing protocols been suggested extend stability period maximize network’s lifetime. These select appropriate parent or forwarders with maximum two hops relay data from sink. While numerous energy-efficient solutions proposed WBANs, reliability has often overlooked. Our paper introduces an protocol called Hybrid Clustering Approach Extending WBAN Lifetime (HCEL) address these limitations. HCEL leverages utility function based on residual (RE), proximity sink node, received signal strength indicator (RSSI). The node selection process also incorporates threshold value constrained number serving nodes. main goal is overall lifetime all within network. Through extensive simulations, study shows that outperforms both Stable Increased Throughput Multihop Protocol Link Efficiency (SIMPLE) Energy-Efficient Reliable Routing Scheme (ERRS) several key performance metrics. specific findings our article highlight superior terms increased network stability, extended lifetime, reduced consumption, improved throughput, minimized delays, link reliability.

Language: Английский

Citations

5
Access Control, Key Management, and Trust for Emerging Wireless Body Area Networks DOI Creative Commons
Ahmad Salehi S., Hagen Lauer, Marthie Grobler

et al.

Sensors, Journal Year: 2023, Volume and Issue: 23(24), P. 9856 - 9856

Published: Dec. 15, 2023

Wireless Body Area Networks (WBANs) are an emerging industrial technology for monitoring physiological data. These networks employ medical wearable and implanted biomedical sensors aimed at improving quality of life by providing body-oriented services through a variety sensing gadgets. The collect vital data from the body forward this information to other nodes further using short-range wireless communication technology. In paper, we provide multi-aspect review recent advancements made in field pertaining cross-domain security, privacy, trust issues. aim is present overall WBAN research projects based on applications, devices, architecture. We examine current issues challenges with communications technologies, insights future vision remote healthcare systems. specifically address potential shortcomings various Network (WBAN) architectures schemes that proposed maintain within digital Although solutions some level several serious remain need be understood addressed. Our suggest directions establishing best practices protecting This includes monitoring, access control, key management, management. distinguishing feature survey combination our critical perspective WBANs.

Language: Английский

Citations

11
An efficient methodology to composite fault detection and classification in wireless biosensor networks DOI
Rajeev Agarwal, Tusharkanta Samal, Rakesh Ranjan Swain

et al.

Internet of Things, Journal Year: 2025, Volume and Issue: unknown, P. 101623 - 101623

Published: May 1, 2025

Language: Английский

Citations

0
Optimizing relay node placement and routing in WBANs using free search krill herd and harmony search algorithm DOI
Sushree Chinmayee Patra, Tusharkanta Samal,

Manas Ranjan Kabat

et al.

Multimedia Tools and Applications, Journal Year: 2024, Volume and Issue: unknown

Published: April 24, 2024

Language: Английский

Citations

3
A novel SCNN-LSTM model for predicting the SNR confidence interval in wearable wireless sensor network DOI Creative Commons
Minghu Zha, Li Zhu,

Yunyun Zhu

et al.

Intelligent Systems with Applications, Journal Year: 2024, Volume and Issue: 22, P. 200363 - 200363

Published: March 24, 2024

Accurate real-time prediction of link quality is crucial for enhancing the reliable responsiveness wearable devices within Wireless Wearable Sensor Networks (WWSNs). Specifically, Signal-to-Noise Ratio (SNR), a pivotal parameter predicting quality, exhibits complex temporal characteristics influenced by stochastic and non-stochastic factors. To improve accuracy in WWSNs, we aim to explore novel predictive model, introducing filtering layer that seeks enhance precision upper lower boundaries reliability confidence intervals. First, adopt SNR time series as evaluation metric decompose sequences into time-varying standard deviation wavelet decomposition. Subsequently, propose an innovative SCNN-LSTM incorporating SincNet extract specific frequency components from input sequences. Afterward, integrating sequences, model predicts Finally, conduct validation experiments on public dataset LightGBM-LQP our WWSN Basketball shot. Compared BPNN, ARIMA, WNN, matrices MAE, RMSE, R2 have been improved, between predicted actual has reached minimum 0.1. The results demonstrate outperforms classical models limits intervals WWSNs.

Language: Английский

Citations

1
DAAG-SNP: Energy Efficient Distance and Angulation Based Agglomerative Clustering for Sink Node Placement DOI Creative Commons
Maria Hanif, Rizwan Ahmad, Waqas Ahmed

et al.

IEEE Open Journal of the Communications Society, Journal Year: 2024, Volume and Issue: 5, P. 5013 - 5026

Published: Jan. 1, 2024

Wireless Body Area Networks (WBANs) have significantly enhanced various aspects of human life, particularly in healthcare, fitness, entertainment, sports, and etc. In WBANs, the sensor nodes are placed around body along with sink node, which collects physiological data from these sensors forwards it for further processing. The placement node is one critical design WABNs as affects both energy efficiency connectivity. To this end, paper introduces a hybrid method called Distance Angulation based AGglomerative Clustering (DAAG). DAAG, initially clusters WBAN using k-Mean clustering. Afterward, Agglomerative applied to determine optimal node. results DAAG compared machine learning optimization approaches, including D-RMS (Distance Random mean shift clustering), Reinforcement Q-Learning Approach (QL), Humpback Whale (HWOA), Multi-Angulation (MA) Closeness Centrality (CC). Given an initial energy, show that exhibits superior performance terms latency, packet error rate (PER), consumption. shows consumption only 1.51% outperforming QL, HWOA, MA, CC, improved localization accuracy 0.36 m.

Language: Английский

Citations

1
Energy-Efficient Framework to Mitigate Denial of Sleep Attacks in Wireless Body Area Networks DOI Creative Commons

Mayyda Mukhtar,

Muhammad Hanif Lashari,

Musaed Alhussein

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 122918 - 122928

Published: Jan. 1, 2024

Language: Английский

Citations

1
ECG signals-based security and steganography approaches in WBANs: A comprehensive survey and taxonomy DOI
Mohammad Masdari, Shahab S. Band, Sultan Noman Qasem

et al.

Sustainable Computing Informatics and Systems, Journal Year: 2023, Volume and Issue: 41, P. 100937 - 100937

Published: Nov. 20, 2023

Language: Английский

Citations

3
Current security and privacy posture in wireless body area networks DOI Creative Commons

Joshua Auko

World Journal of Advanced Research and Reviews, Journal Year: 2023, Volume and Issue: 18(3), P. 1185 - 1206

Published: June 27, 2023

Wireless Body Area Networks (WBANs) have emerged as a promising technology for remote health monitoring and healthcare applications. However, ensuring the security privacy of sensitive data in WBANs is crucial to foster user trust prevent unauthorized access or breaches. This paper provides an overview key challenges, techniques, research gaps WBAN privacy. The findings indicate that challenges include resource constraints, compatibility issues, concerns, dynamic network environments, usability trade-offs, emerging threat landscape, awareness education. To address these various techniques been developed, such authentication authorization mechanisms, encryption, control, secure communication protocols, intrusion detection systems, privacy-preserving handling techniques. Despite progress made, there are require further investigation. These development lightweight analysis management frameworks, resilience insider threats, aggregation fusion, user-centric designs, addressing legal ethical considerations. Addressing requires collaboration between researchers, device manufacturers, policymakers, end-users. Ongoing innovation necessary develop robust privacy-enhancing technologies, user-friendly solutions tailored WBANs. Additionally, compliance with regulations, education, critical responsible use

Language: Английский

Citations

1
DRESCNN: Deep RESNET Convolutional Neural Network Based Classification of X-Ray Images for Detection of COVID-19 DOI Creative Commons
Vipul V. Bag

Deleted Journal, Journal Year: 2024, Volume and Issue: 20(2), P. 1415 - 1425

Published: April 18, 2024

In this research work a solution is proposed to address the challenges for detection of Coronavirus disease (COVID-19) Infection through an innovative healthcare framework. The system leverages predictive analytics on patient information and facilitates consultation, eliminating delay in diagnosis treatment. modular, encompassing various health services, thereby consolidating major concerns under one unified platform. images are inputs models provided platform which passed preprocessing algorithm followed by passing pretrained or analyze predict disease. Finally, classification X-ray COVID-19 using Deep Convolutional Neural Network Models like ResNet50, InceptionNet, MobileNet used at detailed level. After classifying these with different CNN variants, majority voting applied selecting more accurate class label. It observed that ResNet50 giving highest accuracy frequently. Hence ResNet (DResCNN) used. This not only tackles critical issue delayed decision-making treatment but also introduces cost-effective measures minimizing need extensive hospital visits.

Language: Английский

Citations

0