A systematic review of IoT in healthcare: Applications, techniques, and trends

Journal of Network and Computer Applications, Journal Year: 2021, Volume and Issue: 192, P. 103164 - 103164

Published: July 22, 2021

Language: Английский

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Recent Advancements in Emerging Technologies for Healthcare Management Systems: A Survey

Healthcare, Journal Year: 2022, Volume and Issue: 10(10), P. 1940 - 1940

Published: Oct. 3, 2022

In recent times, the growth of Internet Things (IoT), artificial intelligence (AI), and Blockchain technologies have quickly gained pace as a new study niche in numerous collegiate industrial sectors, notably healthcare sector. Recent advancements delivery given many patients access to advanced personalized healthcare, which has improved their well-being. The subsequent phase is seamlessly consolidate these emerging such IoT-assisted wearable sensor devices, AI, collectively. Surprisingly, owing rapid use smart sensors, IoT AI-enabled technology are shifting from conventional hub-based system more management (HMS). However, implementing IoT, synchronously HMS remains significant challenge. Prominent reoccurring issues scarcity cost-effective accurate medical unstandardized architectures, heterogeneity connected multidimensionality data generated, high demand for interoperability vivid problems affecting advancement HMS. Hence, this survey paper presents detailed evaluation application (Smart Sensor, Blockchain) better understand progress thus far. Specifically, current studies findings on deployment investigated, well key enabling factors, noteworthy cases, successful deployments. This also examined essential that frequently encountered by systems, Blockchain, critical concerns must be addressed enhance

Language: Английский

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A survey of emotion recognition methods with emphasis on E-Learning environments

Journal of Network and Computer Applications, Journal Year: 2019, Volume and Issue: 147, P. 102423 - 102423

Published: Aug. 27, 2019

Language: Английский

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Smart Healthcare in the Age of AI: Recent Advances, Challenges, and Future Prospects

IEEE Access, Journal Year: 2021, Volume and Issue: 9, P. 145248 - 145270

Published: Jan. 1, 2021

The significant increase in the number of individuals with chronic ailments (including elderly and disabled) has dictated an urgent need for innovative model healthcare systems. evolved will be more personalized less reliant on traditional brick-and-mortar institutions such as hospitals, nursing homes, long-term centers. smart system is a topic recently growing interest become increasingly required due to major developments modern technologies, especially artificial intelligence (AI) machine learning (ML). This paper aimed discuss current state-of-the-art systems highlighting areas like wearable smartphone devices health monitoring, disease diagnosis, assistive frameworks, including social robots developed ambient assisted living environment. Additionally, demonstrates software integration architectures that are very create systems, integrating seamlessly benefit data analytics other tools AI. explained focus several facets: contribution each framework, detailed working procedure, performance outcomes, comparative merits limitations. research challenges potential future directions addressed highlight drawbacks existing possible methods introduce novel respectively. review aims at providing comprehensive insights into recent equip experts contribute field.

Language: Английский

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An Efficient Deep Learning-Based Skin Cancer Classifier for an Imbalanced Dataset

Diagnostics, Journal Year: 2022, Volume and Issue: 12(9), P. 2115 - 2115

Published: Aug. 31, 2022

Efficient skin cancer detection using images is a challenging task in the healthcare domain. In today's medical practices, time-consuming procedure that may lead to patient's death later stages. The diagnosis of at an earlier stage crucial for success rate complete cure. efficient task. Therefore, numbers skilful dermatologists around globe are not enough deal with healthcare. huge difference between data from various sector classes leads imbalance problems. Due issues, deep learning models often trained on one class more than others. This study proposes novel learning-based detector imbalanced dataset. Data augmentation was used balance overcome imbalance. Skin Cancer MNIST: HAM10000 dataset employed, which consists seven lesions. Deep widely disease through images. (AlexNet, InceptionV3, and RegNetY-320) were employed classify cancer. proposed framework also tuned combinations hyperparameters. results show RegNetY-320 outperformed InceptionV3 AlexNet terms accuracy, F1-score, receiver operating characteristic (ROC) curve both balanced datasets. performance better conventional methods. ROC value obtained 91%, 88.1%, 0.95, significantly those state-of-the-art method, achieved 85%, 69.3%, 0.90, respectively. Our assist identification, could save lives, reduce unnecessary biopsies, costs patients, dermatologists, professionals.

Language: Английский

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Big Data Analytics Using Cloud Computing Based Frameworks for Power Management Systems: Status, Constraints, and Future Recommendations

Sensors, Journal Year: 2023, Volume and Issue: 23(6), P. 2952 - 2952

Published: March 8, 2023

Traditional parallel computing for power management systems has prime challenges such as execution time, computational complexity, and efficiency like process time delays in system condition monitoring, particularly consumer consumption, weather data, generation detecting predicting data mining the centralized processing diagnosis. Due to these constraints, become a critical research consideration bottleneck. To cope with cloud computing-based methodologies have been introduced managing efficiently systems. This paper reviews concept of architecture that can meet multi-level real-time requirements improve monitoring performance which is designed different application scenarios monitoring. Then, solutions are discussed under background big emerging programming models Hadoop, Spark, Storm briefly described analyze advancement, innovations. The key metrics applications core sampling, modeling, analyzing competitiveness was modeled by applying related hypotheses. Finally, it introduces new design eventually some recommendations focusing on infrastructure, methods solve challenges.

Language: Английский

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Implantable Triboelectric Nanogenerators for Self‐Powered Cardiovascular Healthcare

Small, Journal Year: 2023, Volume and Issue: 19(51)

Published: Feb. 9, 2023

Abstract Triboelectric nanogenerators (TENGs) have gained significant traction in recent years the bioengineering community. With potential for expansive applications biomedical use, many individuals and research groups furthered their studies on topic, order to gain an understanding of how TENGs can contribute healthcare. More specifically, there been a number focusing implantable triboelectric (I‐TENGs) toward self‐powered cardiac systems In this review, progression cardiovascular healthcare, including monitoring devices, therapeutic power sources pacemakers, will be systematically reviewed. Long‐term expectations these TENG devices through biocompatibility other utilization strategies also discussed.

Language: Английский

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A Survey on Supply Chain Security: Application Areas, Security Threats, and Solution Architectures

IEEE Internet of Things Journal, Journal Year: 2020, Volume and Issue: 8(8), P. 6222 - 6246

Published: Sept. 22, 2020

The rapid improvement in the global connectivity standards has escalated level of trade taking place among different parties. Advanced communication are allowing all types commodities and services. Furthermore, goods services developed a particular region transcending boundaries to enter into foreign markets. Supply chains play an essential role these goods. To be able realize connected world with no boundary restrictions terms services, it is imperative keep associated supply transparent, secure, trustworthy. Therefore, some fundamental changes current chain architecture achieve secure environment. This article discusses chain's security-critical application areas presents detailed survey security issues existing architecture. Various emerging technologies, such as blockchain, machine learning (ML), physically unclonable functions (PUFs) solutions vulnerabilities infrastructure have also been discussed. Recent studies reviewed this work reveal growing sentiment industry toward new Internet Things (IoT), ML. While many organizations already adopted IoT applications artificial intelligence systems their businesses, widespread adoption blockchain remains distant. It found that over past decade, PUF-based authentication gained much ground. However, proper reference model for implementation complex still missing.

Language: Английский

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Security in IoMT Communications: A Survey

Sensors, Journal Year: 2020, Volume and Issue: 20(17), P. 4828 - 4828

Published: Aug. 26, 2020

The Internet of Medical Things (IoMT) couples IoT technologies with healthcare services in order to support real-time, remote patient monitoring and treatment. However, the interconnectivity critical medical devices other systems various network layers creates new opportunities for adversaries. Since most communication protocols have not been specifically designed needs connected devices, there is a need classify available terms security. In this paper we protocols, respect their application IoMT. Then describe main characteristics used at perception, layer devices. We examine inherent security limitations IoMT-specific protocols. Based on realistic attacks identify mitigation controls that may be applied secure IoMT communications, as well existing research implementation gaps.

Language: Английский

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Continuous blood pressure measurement from one-channel electrocardiogram signal using deep-learning techniques

Artificial Intelligence in Medicine, Journal Year: 2020, Volume and Issue: 108, P. 101919 - 101919

Published: June 27, 2020

Language: Английский

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