Internet of Medical Things and the Evolution of Healthcare 4.0: Exploring Recent Trends DOI Open Access
Manishka Mukhopadhyay, Subhrajyoti Banerjee, Chitrangada Das Mukhopadhyay

et al.

Journal of Electronics Electromedical Engineering and Medical Informatics, Journal Year: 2024, Volume and Issue: 6(2), P. 182 - 195

Published: April 14, 2024

Enhanced patient care and remote health monitoring have always been important issues. Internet of Medical Things (IoMT) is a subsection Healthcare 4.0 that uses recent technologies like mobile computing, medical sensors, cloud computing to track patients' information in real-time. These data are stored framework may be accessed analyzed by healthcare experts. IoMT immense potential for revolutionizing diagnostics, despite facing numerous complex challenges. This paper thoroughly analyzes technical, structural, regulatory obstacles encountered the sector. Challenges implementation include cost considerations, network stress, interoperability issues, ethical limitations, policy intricacies, security concerns, vulnerabilities jeopardizing privacy. However, amidst these challenges, study highlights prospective long-term benefits, including diminished costs enhanced care. In this study, we portrayed comprehensive exploration field different related from more than 100 papers represent transformation growth decade. We illustrated some significant findings applications innovations domain IoMT. delves into IoMT's application dementia detection care, improved management, fortified cybersecurity measures, modernizing existing systems. The also offers valuable insights mitigation strategies, offered ongoing research innovation address emerging trends propelling trajectory towards an optimized transformative future well-being. Hence needs integrate prudent addressing challenges security, privacy, interoperability, costs.

Language: Английский

A Comprehensive Review of Research Hotspots on Battery Management Systems for UAVs DOI Creative Commons
S Jiao, Guiyang Zhang, Mei Zhou

et al.

IEEE Access, Journal Year: 2023, Volume and Issue: 11, P. 84636 - 84650

Published: Jan. 1, 2023

Battery-powered unmanned aerial vehicles (UAVs), also known as drones, have emerged the primary choice in UAV market. The Battery Management System (BMS) performs critical functions such charging and discharging control, state detection, fault diagnosis warning, data recording analysis, etc., making it an essential component of UAVs. However, with rapid advancements battery-related materials electrochemistry, new types batteries are constantly emerging. Furthermore, rise big has expanded possibilities for information processing. This necessitates development BMS to keep pace ongoing research efforts, adjusting enhancing design, calculation methods existing systems meet increasingly diverse requirements power battery performance. Despite growing importance BMS, this area primarily focused on electric vehicles, leaving UAVs relatively understudied. To address gap, paper offers a comprehensive background overview investigates recent hotspots field BMS. A total nine been identified classified into three main categories. first category focuses discharging, involving studies control strategies, equalization hybrid energy management strategies. second revolves around estimation, emphasis estimating crucial parameters State Charge (SOC), Health (SOH), Remaining Useful Life (RUL), other parameters. third addresses system components safety-related issues, including storage transmission within security considerations, techniques, safety topics. proposes potential future trends areas further exploration.

Language: Английский

Citations

15

Robotics and Automated Systems in Tropical Disease Management DOI
Matthew Chidozie Ogwu, Sylvester Chibueze Izah

Health information science, Journal Year: 2025, Volume and Issue: unknown, P. 263 - 286

Published: Jan. 1, 2025

Language: Английский

Citations

0

Delivery of Medical Supplies to Remote Locations via Unmanned Aerial Vehicles: Approaches, Challenges, and Solutions DOI Open Access
Meshari Aljohani, Ravi Mukkamala, Stephan Olariu

et al.

Transportation research procedia, Journal Year: 2025, Volume and Issue: 84, P. 73 - 80

Published: Jan. 1, 2025

Language: Английский

Citations

0

COVID-19: India’s Economic Crunch and Proposed Advanced Technological Measures to Restrain Future Infections DOI

Vineeta Singh,

Shashi Prakash Gupta,

Sujoy Kumar Samanta

et al.

Reviews of Environmental Contamination and Toxicology, Journal Year: 2025, Volume and Issue: 263(1)

Published: March 21, 2025

Language: Английский

Citations

0

Use of Drones in Disasters in the European Union: Privacy Issues and Lessons Learned from the COVID-19 Pandemic and Mass Surveillance Jurisprudence of the ECtHR and the CJEU DOI Creative Commons

Maria Maniadaki,

Dimitrios D. Alexakis,

Efpraxia-Aithra Maria

et al.

Laws, Journal Year: 2025, Volume and Issue: 14(2), P. 27 - 27

Published: April 16, 2025

Severe earthquakes, extreme floods, tragic accidents, mega-fires, and even viruses belong to disasters that can destroy the economic, social, or cultural life of people. Due climate crisis, will likely become more frequent intense over years. Unmanned aerial vehicles (UAVs/drones) have obtained an increasing role in disaster management, which was particularly evident during COVID-19 pandemic. However, lack social acceptability remains a limiting factor drone usage. Drones as means state surveillance—possibly mass surveillance—are subject certain limits since their advanced monitoring technology, including Artificial Intelligence, may affect human rights, such right privacy. severity pandemic, has been described “ideal emergency”, despite rising use drones, privacy concerns underestimated so far. At same time, existing approach European Court Human Rights (ECtHR) Justice Union (CJEU) regarding health crisis rights emergencies seems rather conservative and, thus, setting between conflicting exceptional circumstances vague. Under these conditions, fear pandemic starting point for transitioning world normalizing exception is evident. Such terms implies with narrowed scope privacy; questions exploring challenges about future regulation, especially Union, are crucial.

Language: Английский

Citations

0

Application and effectiveness study of tripartite linkage nursing in prediabetes type 2 diabetes: A retrospective study DOI Creative Commons
Chen Jiao, Di Wang, Z.M. Wang

et al.

Medicine, Journal Year: 2025, Volume and Issue: 104(19), P. e42138 - e42138

Published: May 9, 2025

This study aimed to evaluate the tripartite linkage nursing model’s effectiveness in prediabetic patients at risk of type 2 diabetes mellitus, assessing its impact on glycemic control, metabolic outcomes, prevention, and treatment adherence. In this retrospective cohort study, 400 (2020–2022) were allocated via medical record review control (standard care) experimental groups (tripartite model integrating hospital-community-home management). Clinical parameters (fasting plasma glucose, 2-hour postprandial glycated hemoglobin, body mass index, lipid profiles, blood pressure) monitored baseline 6-month intervals over 24 months, with incidence adherence rates concurrently evaluated. The group demonstrated superior outcomes: fasting glucose (5.8 ± 0.4 vs 6.3 0.5 mmol/L, P < .01), (7.2 0.6 8.1 0.7 hemoglobin (5.9 0.3% 6.4 0.4%, .01) showed significant improvements versus controls. Metabolic benefits included reduced index (24.1 2.1 26.3 2.4 kg/m²), optimized lipids (low-density lipoprotein cholesterol: 0.3 2.9 0.4; triglycerides: 1.3 0.2 1.7 mmol/L), pressure (124 8/78 5 131 10/83 6 mm Hg, .05). Notably, decreased by 50% (7.5% 15.0%, = .008) higher (88.4% 72.6%, .001), confirming dual efficacy biological behavioral outcomes. effectively reduces levels, improves indicators, lowers incidence, enhances compliance, demonstrating clinical value for early prevention management.

Language: Английский

Citations

0

Towards Efficient Collaborative Delivery Solutions Using Drones and Ground Transportation: A Review DOI

Jahanara Thasnim,

Eiman ElGhanam, Mohamed S. Hassan

et al.

2022 International Telecommunications Conference (ITC-Egypt), Journal Year: 2024, Volume and Issue: unknown, P. 727 - 732

Published: July 22, 2024

Language: Английский

Citations

3

Leveraging Artificial Intelligence and Machine Learning in Predicting and Managing Pandemics: Lessons Learnt and Future Implications in the Healthcare Sector DOI Open Access
Steward Mudenda,

Shafiq Mohamed

Scholars Academic Journal of Biosciences, Journal Year: 2024, Volume and Issue: 12(01), P. 16 - 21

Published: Jan. 12, 2024

Artificial intelligence (AI) is a game changer in the healthcare, educational, and other sectors. The use of AI healthcare sector has shown that machine learning should be promoted improvement service provision, including predicting managing pandemics. This study assessed roles pandemics with lessons learnt from COVID-19 pandemic. A narrative review was conducted December 2023 to January 2024 on role literature search done using PubMed Google Scholar. found useful can used predict manage Additionally, disease modelling improve public health provision. There need promote strengthen sector.

Language: Английский

Citations

2

Firefighters' Perceptions on Collaboration and Interaction with Autonomous Drones: Results of a Field Trial DOI Creative Commons
Moyi Li, Dzmitry Katsiuba, Mateusz Dolata

et al.

Published: May 11, 2024

Applications of drones in emergency response, like firefighting, have been promoted the past decade. As autonomy continues to improve, ways which they are integrated into firefighting teams and their impact on crews changing. This demands more understanding how firefighters perceive interact with autonomous drones. paper presents a drone-based system for operations can through sound, lights, graphical user interface. We use interviews stakeholders collected two field trials explore perceptions interaction collaboration Our result shows that perceived visual as adequate. However, audio instructions interfaces, information overload emerges an essential problem. The potential current work configurations may involve shifting position humans closer supervisory decision-makers changing training structure content.

Language: Английский

Citations

2

Unleashing Drones for Medical Advancements DOI
Ranjit Barua

Advances in computational intelligence and robotics book series, Journal Year: 2024, Volume and Issue: unknown, P. 346 - 357

Published: May 31, 2024

The use of drones emerges as a promising technological avenue for improving patient survival, outcomes, and overall quality life, particularly in areas that are remote or face financial infrastructural challenges. Their cost-effectiveness, swiftness, expediency, especially when contrasted with ground transportation, make them extremely pertinent the field emergency medicine. Ongoing research underscores practicality incorporating into medical situations, underscoring public approval, multitude potential applications.

Language: Английский

Citations

2