IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 132444 - 132479
Published: Jan. 1, 2024
Language: Английский
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
Citations
113
Sensors, Journal Year: 2024, Volume and Issue: 24(6), P. 1888 - 1888
Published: March 15, 2024
In the rapidly evolving landscape of wireless communication, each successive generation networks has achieved significant technological leaps, profoundly transforming way we connect and interact. From analog simplicity 1G to digital prowess 5G, journey mobile been marked by constant innovation escalating demands for faster, more reliable, efficient communication systems. As 5G becomes a global reality, laying foundation an interconnected world, quest even advanced leads us threshold sixth-generation (6G) era. This paper presents hierarchical exploration 6G networks, poised at forefront next revolution in technology. study delves into advancements that underpin need 6G, examining its key features, benefits, enabling technologies. We dissect intricacies cutting-edge innovations like terahertz ultra-massive MIMO, artificial intelligence (AI), machine learning (ML), quantum reconfigurable intelligent surfaces. Through meticulous analysis, evaluate strengths, weaknesses, state-of-the-art research these areas, offering wider view current progress potential applications networks. Central our discussion is transformative role AI shaping future By integrating ML, are expected offer unprecedented capabilities, from enhanced broadband groundbreaking areas smart cities autonomous integration heralds new era intelligent, self-optimizing promise redefine parameters connectivity interaction. also address critical challenges deployment hurdles regulatory concerns, providing holistic assessment barriers. highlighting interplay between technologies, this maps out lights path forward domain. aims be cornerstone resource, essential insights, addressing unresolved questions, stimulating further investigation multifaceted realm synergy aim illuminate field.
Language: Английский
Citations
39
Advanced Functional Materials, Journal Year: 2024, Volume and Issue: 34(45)
Published: June 12, 2024
Abstract Advanced wireless sensors, incorporating metal‐organic frameworks (MOFs), enzymatic systems, and nanocomposites, offer unparalleled solutions for monitoring analytes human physiological signals. These cutting‐edge when used with external devices, enable real‐time of physicochemical processes within the body, thereby enhancing understanding complex biological systems. This study presents advancements in sensor development, fabrication techniques, user‐friendly protocols. The performance these sensors is evaluated based on their selectivity, sensitivity, detection limits. Moreover, this article explores limitations, challenges, key strategies to enhance analyte recognition from onsite environmental species, ensuring point‐of‐care safety.
Language: Английский
Citations
38
Biosensors, Journal Year: 2024, Volume and Issue: 14(2), P. 67 - 67
Published: Jan. 27, 2024
The integration of nanomaterials into sensor technologies not only poses challenges but also opens up promising prospects for future research. These include assessing the toxicity nanomaterials, scalability issues, and seamless these materials existing infrastructures. Future development opportunities lie in creating multifunctional nanocomposites environmentally friendly nanomaterials. Crucial to this process is collaboration between universities, industry, regulatory authorities establish standardization evolving field. Our perspective favours using screen-printed sensors that employ with high electrochemical conductivity. This approach offers cost-effective production methods allows customizable designs. Furthermore, incorporating hybrids based on carbon-based functionalized Mxene significantly enhances performance. conductivity are portable, rapid, well-suited on-site environmental monitoring, seamlessly aligning Internet Things (IoT) platforms developing intelligent systems. Simultaneously, advances technology actively working elevate sensitivity through integrating nanotechnology, miniaturization, innovative electrode comprehensive aims unlock full potential technologies, catering diverse applications ranging from healthcare monitoring. review summarise latest trends hybrid nanomaterial-based sensors, explicitly focusing their application detecting contaminants.
Language: Английский
Citations
33
Nature Nanotechnology, Journal Year: 2024, Volume and Issue: 19(8), P. 1158 - 1167
Published: April 29, 2024
Language: Английский
Citations
26
Science Advances, Journal Year: 2024, Volume and Issue: 10(7)
Published: Feb. 16, 2024
Real-time in situ monitoring of plant physiology is essential for establishing a phenotyping platform precision agriculture. A key enabler this device that can be noninvasively attached to plants and transduce their physiological status into digital data. Here, we report an all-organic transparent e-skin by micropatterning poly(3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS) on polydimethylsiloxane (PDMS) substrate. This optically mechanically invisible with no observable adverse effects health. We demonstrate the capabilities our e-skins as strain temperature sensors, application Brassica rapa leaves collecting corresponding parameters under normal abiotic stress conditions. Strains imposed leaf surface during growth well diurnal fluctuation were captured. further present digital-twin interface visualize real-time environment, providing intuitive vivid phenotyping.
Language: Английский
Citations
25
Journal of Personalized Medicine, Journal Year: 2024, Volume and Issue: 14(3), P. 282 - 282
Published: March 3, 2024
The evolution of Patient-Generated Health Data (PGHD) represents a major shift in healthcare, fueled by technological progress. advent PGHD, with technologies such as wearable devices and home monitoring systems, extends data collection beyond clinical environments, enabling continuous patient engagement their health management. Despite the growing prevalence there is lack clear understanding among stakeholders about its meaning, along concerns security, privacy, accuracy. This article aims to thoroughly review clarify PGHD examining origins, types, foundations, challenges it faces, especially terms privacy security regulations. emphasizes role transforming healthcare through patient-centric approaches, understanding, personalized care, while also exploring emerging addressing issues, offering comprehensive perspective on current state future directions PGHD. methodology employed for this followed Preferred Reporting Items Systematic Reviews Meta-Analyses (PRISMA) guidelines Rayyan, AI-Powered Tool Literature Reviews. approach ensures systematic coverage available literature focusing various aspects outlined objective. encompassed 36 peer-reviewed articles from esteemed publishers databases, reflecting diverse range methodologies, including interviews, regular articles, empirical studies address three RQs exploratory, impact assessment, solution-oriented questions related Additionally, future-oriented fourth RQ not covered above review, we have incorporated existing domain knowledge articles. inclusion provide answers encompassing both basic advanced measures thereby enhancing depth scope our analysis.
Language: Английский
Citations
25
Advanced Functional Materials, Journal Year: 2024, Volume and Issue: unknown
Published: May 14, 2024
Abstract Electrochemical (EC) analysis has emerged as a high‐sensitivity, reliable, cost‐effective, and rapidly evolving technique that garnered significant attention across diverse domains. Furthermore, EC‐based techniques hold great potential for miniaturization integration. The integration of EC with mode/signal (such light, magnetic, thermal signals, etc.) provides unique opportunities biosensors to acquire more information through single sensing platform. By coupling multiple signals or processing them logically, the detection accuracy can be further improved, probability false positives negatives minimized. In this review, thorough multi‐ sensors in field is conducted, along their various (e.g., fluorescence, photothermal, colorimetry, microfluidic, etc.). aim delve into latest advances, applications, well challenges multi‐mode/signal biosensors, where utilization modalities helps enhance accuracy, sensitivity, selectivity. This review new insight synergistic effects integrating other techniques, aiming shed light on near‐future developments EC‐integrated biosensors.
Language: Английский
Citations
24
Biosensors, Journal Year: 2024, Volume and Issue: 14(7), P. 356 - 356
Published: July 22, 2024
The steady progress in consumer electronics, together with improvement microflow techniques, nanotechnology, and data processing, has led to implementation of cost-effective, user-friendly portable devices, which play the role not only gadgets but also diagnostic tools. Moreover, numerous smart devices monitor patients' health, some them are applied point-of-care (PoC) tests as a reliable source evaluation patient's condition. Current practices still based on laboratory tests, preceded by collection biological samples, then tested clinical conditions trained personnel specialistic equipment. In practice, collecting passive/active physiological behavioral from patients real time feeding artificial intelligence (AI) models can significantly improve decision process regarding diagnosis treatment procedures via omission conventional sampling while excluding pathologists. A combination novel methods digital traditional biomarker detection portable, autonomous, miniaturized revolutionize medical diagnostics coming years. This article focuses comparison modern techniques AI machine learning (ML). presented technologies will bypass laboratories start being commercialized, should lead or substitution current Their application PoC settings technology accessible every patient appears be possibility. Research this field is expected intensify Technological advancements sensors biosensors anticipated enable continuous real-time analysis various omics fields, fostering early disease intervention strategies. integration health platforms would predictive personalized healthcare, emphasizing importance interdisciplinary collaboration related scientific fields.
Language: Английский
Citations
22
Medical Gas Research, Journal Year: 2025, Volume and Issue: 15(2), P. 318 - 326
Published: Jan. 18, 2025
Recent advancements in artificial intelligence–enabled medical gas sensing have led to enhanced accuracy, safety, and efficiency healthcare. Medical gases, including oxygen, nitrous oxide, carbon dioxide, are essential for various treatments but pose health risks if improperly managed. This review highlights the integration of intelligence sensing, enhancing traditional sensors through advanced data processing, pattern recognition, real-time monitoring capabilities. Artificial improves ability detect harmful levels, enabling immediate intervention prevent adverse effects. Moreover, developments nanotechnology resulted materials, such as metal oxides carbon-based nanomaterials, which increase sensitivity selectivity. These innovations, combined with intelligence, support continuous patient predictive diagnostics, paving way future breakthroughs care.
Language: Английский
Citations
2