Chemical Engineering Journal, Год журнала: 2021, Номер 431, С. 134002 - 134002
Опубликована: Дек. 6, 2021
Язык: Английский
Chemical Engineering Journal, Год журнала: 2021, Номер 431, С. 134002 - 134002
Опубликована: Дек. 6, 2021
Язык: Английский
Nature Reviews Materials, Год журнала: 2022, Номер 7(11), С. 887 - 907
Опубликована: Июль 22, 2022
Язык: Английский
Процитировано
723Scientific Reports, Год журнала: 2023, Номер 13(1)
Опубликована: Март 27, 2023
Abstract Wearable health sensors could monitor the wearer's and surrounding environment in real-time. With development of sensor operating system hardware technology, functions wearable devices have been gradually enriched with more diversified forms accurate physiological indicators. These are moving towards high precision, continuity, comfort, making great contributions to improving personalized care. At same time, context rapid Internet Things, ubiquitous regulatory capabilities released. Some chips equipped data readout signal conditioning circuits, a wireless communication module for transmitting computer equipment. analysis sensors, most companies use artificial neural networks (ANN). In addition, help users effectively get relevant feedback. Through response human body, various worn transmit control unit, which analyzes provides feedback value user through computer. This is working principle health. article focuses on biosensors used healthcare monitoring different situations, as well development, business, ethics, future monitoring.
Язык: Английский
Процитировано
158Sensors, Год журнала: 2023, Номер 23(23), С. 9498 - 9498
Опубликована: Ноя. 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
Язык: Английский
Процитировано
136Sensors, Год журнала: 2023, Номер 23(12), С. 5406 - 5406
Опубликована: Июнь 7, 2023
Micro- and nanotechnology-enabled sensors have made remarkable advancements in the fields of biomedicine environment, enabling sensitive selective detection quantification diverse analytes. In biomedicine, these facilitated disease diagnosis, drug discovery, point-of-care devices. environmental monitoring, they played a crucial role assessing air, water, soil quality, as well ensured food safety. Despite notable progress, numerous challenges persist. This review article addresses recent developments micro- for biomedical challenges, focusing on enhancing basic sensing techniques through micro/nanotechnology. Additionally, it explores applications addressing current both domains. The concludes by emphasizing need further research to expand capabilities sensors/devices, enhance sensitivity selectivity, integrate wireless communication energy-harvesting technologies, optimize sample preparation, material selection, automated components sensor design, fabrication, characterization.
Язык: Английский
Процитировано
88Biosensors, Год журнала: 2023, Номер 13(2), С. 181 - 181
Опубликована: Янв. 23, 2023
Wearable sensors are pioneering devices to monitor health issues that allow the constant monitoring of physical and biological parameters. The immunity towards electromagnetic interference, miniaturization, detection nano-volumes, integration with fiber, high sensitivity, low cost, usable in harsh environments corrosion-resistant have made optical wearable sensor an emerging sensing technology recent year. This review presents progress development novel for vital systems. details different substrates, platforms, biofluids used target molecules discussed detail. technologies could increase quality systems at a nominal cost enable continuous early disease diagnosis. Various principles, including surface-enhanced Raman scattering, colorimetric, fluorescence, plasmonic, photoplethysmography, interferometric-based sensors, detail applications. performance utilizing two-dimensional materials is also discussed. Future challenges associated point-of-care applications clinical diagnosis been thoroughly
Язык: Английский
Процитировано
86Sensors and Actuators A Physical, Год журнала: 2024, Номер 366, С. 114993 - 114993
Опубликована: Янв. 2, 2024
Язык: Английский
Процитировано
79Chemical Reviews, Год журнала: 2024, Номер 124(4), С. 1535 - 1648
Опубликована: Фев. 19, 2024
Over the years, researchers have made significant strides in development of novel flexible/stretchable and conductive materials, enabling creation cutting-edge electronic devices for wearable applications. Among these, porous textiles (PCTs) emerged as an ideal material platform electronics, owing to their light weight, flexibility, permeability, wearing comfort. This Review aims present a comprehensive overview progress state art utilizing PCTs design fabrication wide variety integrated systems. To begin with, we elucidate how revolutionize form factors electronics. We then discuss preparation strategies PCTs, terms raw processes, key properties. Afterward, provide detailed illustrations are used basic building blocks fabricate intrinsically flexible or stretchable devices, including sensors, actuators, therapeutic energy-harvesting storage displays. further describe techniques systems either by hybridizing conventional off-the-shelf rigid components with integrating multiple fibrous PCTs. Subsequently, highlight some important application scenarios healthcare, sports training, converging technologies, professional specialists. At end Review, challenges perspectives on future research directions give overall conclusions. As demand more personalized interconnected continues grow, PCT-based wearables hold immense potential redefine landscape technology reshape way live, work, play.
Язык: Английский
Процитировано
77Science Advances, Год журнала: 2023, Номер 9(21)
Опубликована: Май 24, 2023
Although many people suffer from sleep disorders, most are undiagnosed, leading to impairments in health. The existing polysomnography method is not easily accessible; it's costly, burdensome patients, and requires specialized facilities personnel. Here, we report an at-home portable system that includes wireless sensors wearable electronics with embedded machine learning. We also show its application for assessing quality detecting apnea multiple patients. Unlike the conventional using numerous bulky sensors, soft, all-integrated platform offers natural wherever user prefers. In a clinical study, face-mounted patches detect brain, eye, muscle signals comparable performance polysomnography. When comparing healthy controls can obstructive accuracy of 88.5%. Furthermore, deep learning automated scoring, demonstrating portability, point-of-care usability. At-home could ensure promising future supporting monitoring home healthcare.
Язык: Английский
Процитировано
73SLEEP, Год журнала: 2023, Номер 47(4)
Опубликована: Дек. 24, 2023
Wearable sleep-tracking technology is of growing use in the sleep and circadian fields, including for applications across other disciplines, inclusive a variety disease states. Patients increasingly present data derived from their wearable devices to providers ever-increasing availability commercial new-generation research/clinical tools has led wide adoption wearables research, which become even more relevant given discontinuation Philips Respironics Actiwatch. Standards evaluating performance have been introduced available evidence suggests that consumer-grade exceed traditional actigraphy assessing as defined by polysomnogram. However, clear limitations exist, example, misclassification wakefulness during period, problems with tracking outside main bout or nighttime artifacts, unclear translation individuals certain characteristics comorbidities. This particular relevance when person-specific factors (like skin color obesity) negatively impact sensor potential downstream augmenting already existing healthcare disparities. holds great promise our field, features distinct such measurement autonomic parameters, estimation features, integrate self-reported, objective, passively recorded health indicators. Scientists face numerous decision points barriers incorporating actigraphy, multi-sensor devices, contemporary research/clinical-grade trackers into research. Considerations include device capabilities performance, target population goals study, outputs raw aggregate data, extraction, processing, analysis. Given difficulties implementation utilization real-world research clinical settings, following State Science review requested Sleep Research Society aims address questions. What can provide? How accurate are these data? should be taken account research? These outstanding questions surrounding considerations motivated this work, outlining practical recommendations using
Язык: Английский
Процитировано
62ACM Computing Surveys, Год журнала: 2024, Номер 56(7), С. 1 - 42
Опубликована: Фев. 15, 2024
Wearable devices, or wearables, designed to be attached the human body, can gather personalized real-time data and continuously monitor an individual’s health status physiological disposition in a non-invasive manner. Intelligent wearables integrate advanced machine learning algorithms process complex patterns provide accurate insights. As result, intelligent have emerged as ground-breaking innovation fields of sports health, introducing new paradigm kinematic analysis patient evaluation. For example, virtual coaches offer feedback on athletes’ performance, whereas physicians assist customizing medication for patients. This article provides overview various types their applications sports, categorizes algorithms, introduces wireless body area sensor network (WBASN) used communication wearable sensors. Additionally, we discuss potential challenges development directions that could shape future propose effective solutions continued enhancement. offers valuable insights into exciting transform healthcare sports.
Язык: Английский
Процитировано
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