Skin-Interfaced Wearable Sweat Sensors for Precision Medicine

Chemical Reviews, Journal Year: 2023, Volume and Issue: 123(8), P. 5049 - 5138

Published: March 27, 2023

Wearable sensors hold great potential in empowering personalized health monitoring, predictive analytics, and timely intervention toward healthcare. Advances flexible electronics, materials science, electrochemistry have spurred the development of wearable sweat that enable continuous noninvasive screening analytes indicative status. Existing major challenges include: improving extraction sensing capabilities, form factor device for minimal discomfort reliable measurements when worn, understanding clinical value biomarker discovery. This review provides a comprehensive outlines state-of-the-art technologies research strive to bridge these gaps. The physiology sweat, materials, biosensing mechanisms advances, approaches induction sampling are introduced. Additionally, design considerations system-level devices, spanning from strategies prolonged efficient powering wearables, discussed. Furthermore, applications, data commercialization efforts, challenges, prospects precision medicine

Language: Английский

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Metaverse in Healthcare Integrated with Explainable AI and Blockchain: Enabling Immersiveness, Ensuring Trust, and Providing Patient Data Security

Sensors, Journal Year: 2023, Volume and Issue: 23(2), P. 565 - 565

Published: Jan. 4, 2023

Digitization and automation have always had an immense impact on healthcare. It embraces every new advanced technology. Recently the world has witnessed prominence of metaverse which is emerging technology in digital space. The huge potential to provide a plethora health services seamlessly patients medical professionals with immersive experience. This paper proposes amalgamation artificial intelligence blockchain better, faster, more secure healthcare facilities space realistic Our proposed architecture can be summarized as follows. consists three environments, namely doctor's environment, patient's environment. doctors interact environment assisted by ensures safety, security, privacy data. main part our architecture. doctors, patients, nurses enter this registering they are represented avatars All consultation activities between doctor patient will recorded data, i.e., images, speech, text, videos, clinical etc., gathered, transferred, stored blockchain. These data used for disease prediction diagnosis explainable (XAI) models. GradCAM LIME approaches XAI logical reasoning diseases ensure trust, explainability, interpretability, transparency regarding diseases. Blockchain provides security while enabling transparency, traceability, immutability their features trust among Consequently, both patient. We also explored building block technologies metaverse. Furthermore, we investigated advantages challenges

Language: Английский

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The Emergence of AI-Based Wearable Sensors for Digital Health Technology: A Review

Sensors, Journal Year: 2023, Volume and Issue: 23(23), P. 9498 - 9498

Published: Nov. 29, 2023

Disease diagnosis and monitoring using conventional healthcare services is typically expensive has limited accuracy. Wearable health technology based on flexible electronics gained tremendous attention in recent years for patient owing to attractive features, such as lower medical costs, quick access data, ability operate transmit data harsh environments, storage at room temperature, non-invasive implementation, mass scaling, etc. This provides an opportunity disease pre-diagnosis immediate therapy. sensors have opened a new area of personalized by accurately measuring physical states biochemical signals. Despite the progress date development wearable sensors, there are still several limitations accuracy collected, precise diagnosis, early treatment. necessitates advances applied materials structures artificial intelligence (AI)-enabled extract target signals accurate clinical decision-making efficient care. In this paper, we review two significant aspects smart sensors. First, offer overview most improving sensor performance physical, chemical, biosensors, focusing materials, structural configurations, transduction mechanisms. Next, use AI combination with big processing, self-learning, power-efficiency, real-time acquisition intelligent sensing platform. Finally, present challenges future opportunities associated

Language: Английский

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Wearable Devices for Physical Monitoring of Heart: A Review

Biosensors, Journal Year: 2022, Volume and Issue: 12(5), P. 292 - 292

Published: May 2, 2022

Cardiovascular diseases (CVDs) are the leading cause of death globally. An effective strategy to mitigate burden CVDs has been monitor patients' biomedical variables during daily activities with wearable technology. Nowadays, technological advance contributed wearables technology by reducing size devices, improving accuracy sensing be devices relatively low energy consumption that can manage security and privacy patient's medical information, have adaptability any data storage system, reasonable costs regard traditional scheme where patient must go a hospital for an electrocardiogram, thus contributing serious option in diagnosis treatment CVDs. In this work, we review commercial noncommercial used CVD variables. Our main findings revealed usually include smart wristbands, patches, smartwatches, they generally such as heart rate, blood oxygen saturation, electrocardiogram data. Noncommercial focus on monitoring photoplethysmography data, mostly accelerometers smartwatches detecting atrial fibrillation failure. However, using without healthy personal habits will disappointing results health.

Language: Английский

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Smart Technologies used as Smart Tools in the Management of Cardiovascular Disease and their Future Perspective

Current Problems in Cardiology, Journal Year: 2023, Volume and Issue: 48(11), P. 101922 - 101922

Published: July 10, 2023

Language: Английский

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Metaverse for Digital Anti-Aging Healthcare: An Overview of Potential Use Cases Based on Artificial Intelligence, Blockchain, IoT Technologies, Its Challenges, and Future Directions

Applied Sciences, Journal Year: 2023, Volume and Issue: 13(8), P. 5127 - 5127

Published: April 20, 2023

Metaverse is the buzz technology of moment raising attention both from academia and industry. Many stakeholders are considering an extension their existing applications into metaverse environment for more usability. The healthcare industry gradually making use to improve quality service enhance living conditions. In this paper, we focus on potential digital anti-aging in environment. We show how can increase life expectancy patients through confident processes, such as chronic disease management, fitness, mental health control, metaverse. convergence artificial intelligence (AI), blockchain (BC), Internet Things (IoT), immersive technologies, twin presents new scopes By leveraging these providers patient outcomes, reduce costs, create experiences a better life, thus facilitating process. AI be used analyze large-scale medical data make personalized treatment plans, while secure transparent ecosystem. As IoT devices, they collect real-time patients, which necessary treatment. Together, technologies transform lives worldwide. suggestions highlighted paper worthy undergo implementation benefits that will promote process its users longer experience.

Language: Английский

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Photoplethysmography in Wearable Devices: A Comprehensive Review of Technological Advances, Current Challenges, and Future Directions

Electronics, Journal Year: 2023, Volume and Issue: 12(13), P. 2923 - 2923

Published: July 3, 2023

Photoplethysmography (PPG) is an affordable and straightforward optical technique used to detect changes in blood volume within tissue microvascular beds. PPG technology has found widespread application commercial medical devices, enabling measurements of oxygen saturation, pressure, cardiac output; the assessment autonomic nerve function; diagnosis peripheral vascular disease. Recently, growing demand for non-invasive, portable, cost-effective technology, along with advancements small semiconductor components, led integration into various wrist-worn wearable devices. Multiple sensor structures have been proposed and, through appropriate signal processing algorithmic application, these devices can measure a range health indicators during daily life. This paper begins by addressing market status followed explanation fundamental principles underlying light operation its interaction living measurements. Moving on technological advancements, addresses analog front end measurement signal, configurations multiple emitters receivers, minimum sampling rate required low-power systems, stress, sleep, glucose, activity using signals. Several challenges field are also identified, including selecting wavelength sensor’s source, developing interpolation methods extract high-resolution inter-beat intervals at low rate, exploring physiological phenomena multi-wavelength signals simultaneously collected same location. Lastly, presents future research directions, which encompass development new, reliable parameters specific conducting studies real-world scenarios, such as 24-h long-term

Language: Английский

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Artificial Intelligence in Medicine and Dentistry

Acta Stomatologica Croatica, Journal Year: 2023, Volume and Issue: 57(1), P. 70 - 84

Published: March 15, 2023

Introduction: Artificial intelligence has been applied in various fields throughout history, but its integration into daily life is more recent.The first applications of AI were primarily academia and government research institutions, as technology advanced, also industry, commerce, medicine dentistry.Objective: Considering that the possibilities applying artificial are developing rapidly this field one areas with greatest increase number newly published articles, aim paper was to provide an overview literature give insight dentistry.In addition, discuss advantages disadvantages.Conclusion: The dentistry just being discovered.Artificial will greatly contribute developments dentistry, it a tool enables development progress, especially terms personalized healthcare lead much better treatment outcomes.

Language: Английский

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The future of pharmacy: How AI is revolutionizing the industry

Intelligent Pharmacy, Journal Year: 2023, Volume and Issue: 1(1), P. 32 - 40

Published: May 10, 2023

The application of Artificial Intelligence (AI) is rapidly transforming various industries, and the pharmaceutical industry no exception. AI increasingly being used to automate, optimize personalize aspects pharmacy industry, from drug discovery dispensing. In this context, paper explores potential revolutionize by discussing current future applications in industry. We will examine how discovery, personalized medicine, safety quality control, inventory management, patient counselling. also discuss challenges limitations such as data privacy, ethical concerns regulatory barriers. argue that has enabling faster improving outcomes, reducing costs, increasing efficiency accuracy operations. old system relied on manual processes human decision-making, while new automates routine tasks, provides treatment plans, reduces costs outcomes. However, it important ensure ethically responsibly, its impact workforce society carefully considered. major benefit integrating into specific within field improved care. Overall, provide an insight transformative field.

Language: Английский

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Hybrid multimodal wearable sensors for comprehensive health monitoring

Nature Electronics, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 23, 2024

Language: Английский

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