Simultaneous Biomechanical and Biochemical Monitoring for Self-Powered Breath Analysis DOI
Bohao Liu, Alberto Libanori, Yihao Zhou

et al.

ACS Applied Materials & Interfaces, Journal Year: 2022, Volume and Issue: 14(5), P. 7301 - 7310

Published: Jan. 25, 2022

The high moisture level of exhaled gases unavoidably limits the sensitivity breath analysis via wearable bioelectronics. Inspired by pulmonary lobe expansion/contraction observed during respiration, a respiration-driven triboelectric sensor (RTS) was devised for simultaneous respiratory biomechanical monitoring and acetone concentration analysis. A tin oxide-doped polyethyleneimine membrane to play dual role as both layer an sensing material. prepared RTS exhibited excellent ability in measuring flow rate (2-8 L/min) frequency (0.33-0.8 Hz). Furthermore, presented good performance biochemical (2-10 ppm range at levels), which validated finite element This work has led development novel real-time active system strengthened triboelectric-chemisorption coupling mechanism.

Language: Английский

Kirigami‐Inspired Pressure Sensors for Wearable Dynamic Cardiovascular Monitoring DOI

Keyu Meng,

Xiao Xiao, Zixiao Liu

et al.

Advanced Materials, Journal Year: 2022, Volume and Issue: 34(36)

Published: June 29, 2022

Continuously and accurately monitoring pulse-wave signals is critical to prevent diagnose cardiovascular diseases. However, existing wearable pulse sensors are vulnerable motion artifacts due the lack of proper adhesion conformal interface with human skin during body movement. Here, a highly sensitive pressure sensor inspired by kirigami structure developed measure wave on different artery sites under various prestressing conditions even COMSOL multiphysical field coupling simulation experimental testing used verify unique advantages structure. The device shows superior sensitivity (35.2 mV Pa-1 ) remarkable stability (>84 000 cycles). Toward practical applications, wireless system for wirelessly transmitting mobile phone in real-time, which successfully distinguished waveforms from participants. measured as accurate those provided commercial medical device. Given compelling features, provides an ascendant way electronics overcome when signals, thus representing solid advancement toward personalized healthcare era Internet Things.

Language: Английский

Citations

151

Recent advances in regenerative biomaterials DOI
Dinglingge Cao, Jiandong Ding

Regenerative Biomaterials, Journal Year: 2022, Volume and Issue: 9

Published: Jan. 1, 2022

Nowadays, biomaterials have evolved from the inert supports or functional substitutes to bioactive materials able trigger promote regenerative potential of tissues. The interdisciplinary progress has broadened definition 'biomaterials', and a typical new insight is concept tissue induction biomaterials. term 'regenerative biomaterials' thus contents this article are relevant yet beyond This review summarizes recent medical including metals, ceramics, hydrogels, other polymers bio-derived materials. As application aspects concerned, introduces for bone cartilage regeneration, cardiovascular repair, 3D bioprinting, wound healing cosmetology. Cell-biomaterial interactions highlighted. Since global pandemic coronavirus disease 2019, particularly mentions public health emergency. In last section, perspectives suggested: (i) creation source innovation; (ii) modification existing an effective strategy performance improvement; (iii) biomaterial degradation regeneration required be harmonious with each other; (iv) host responses can significantly influence clinical outcomes; (v) long-term outcomes should paid more attention to; (vi) noninvasive approaches monitoring

Language: Английский

Citations

146

Biodegradable cotton fiber-based piezoresistive textiles for wearable biomonitoring DOI
Hong Pan,

Guorui Chen,

Yanmeng Chen

et al.

Biosensors and Bioelectronics, Journal Year: 2022, Volume and Issue: 222, P. 114999 - 114999

Published: Dec. 9, 2022

Language: Английский

Citations

144

Materials-Driven Soft Wearable Bioelectronics for Connected Healthcare DOI
Shu Gong, Lu Yan,

Jialiang Yin

et al.

Chemical Reviews, Journal Year: 2024, Volume and Issue: 124(2), P. 455 - 553

Published: Jan. 4, 2024

In the era of Internet-of-things, many things can stay connected; however, biological systems, including those necessary for human health, remain unable to connected global Internet due lack soft conformal biosensors. The fundamental challenge lies in fact that electronics and biology are distinct incompatible, as they based on different materials via functioning principles. particular, body is curvilinear, yet typically rigid planar. Recent advances design have generated tremendous opportunities wearable bioelectronics, which may bridge gap, enabling ultimate dream healthcare anyone, anytime, anywhere. We begin with a review historical development healthcare, indicating significant trend healthcare. This followed by focal point discussion about new design, particularly low-dimensional nanomaterials. summarize material types their attributes designing bioelectronic sensors; we also cover synthesis fabrication methods, top-down, bottom-up, combined approaches. Next, discuss energy challenges progress made date. addition front-end devices, describe back-end machine learning algorithms, artificial intelligence, telecommunication, software. Afterward, integration systems been applied various testbeds real-world settings, laboratories preclinical clinical environments. Finally, narrate remaining conjunction our perspectives.

Language: Английский

Citations

143

A Deep‐Learning‐Assisted On‐Mask Sensor Network for Adaptive Respiratory Monitoring DOI
Yunsheng Fang, Jing Xu, Xiao Xiao

et al.

Advanced Materials, Journal Year: 2022, Volume and Issue: 34(24)

Published: March 20, 2022

Wearable respiratory monitoring is a fast, non-invasive, and convenient approach to provide early recognition of human health abnormalities like restrictive obstructive lung diseases. Here, computational fluid dynamics assisted on-mask sensor network reported, which can overcome different user facial contours environmental interferences collect highly accurate signals. Inspired by cribellate silk, Rayleigh-instability-induced spindle-knot fibers are knitted for the fabrication permeable moisture-proof textile triboelectric sensors that hold decent signal-to-noise ratio 51.2 dB, response time 0.28 s, sensitivity 0.46 V kPa-1 . With assistance deep learning, realize respiration pattern with classification accuracy up 100%, showing great improvement over single sensor. Additionally, customized user-friendly cellphone application developed connect processed signals real-time data-driven diagnosis one-click data sharing clinicians. The deep-learning-assisted opens new avenue personalized management in era Internet Things.

Language: Английский

Citations

140

Bioinspired All-Fibrous Directional Moisture-Wicking Electronic Skins for Biomechanical Energy Harvesting and All-Range Health Sensing DOI Creative Commons
Chuanwei Zhi, Shuo Shi, Shuai Zhang

et al.

Nano-Micro Letters, Journal Year: 2023, Volume and Issue: 15(1)

Published: March 2, 2023

Electronic skins can monitor minute physiological signal variations in the human and represent body’s state, showing an emerging trend for alternative medical diagnostics human–machine interfaces. In this study, we designed a bioinspired directional moisture-wicking electronic skin (DMWES) based on construction of heterogeneous fibrous membranes conductive MXene/CNTs electrospraying layer. Unidirectional moisture transfer was successfully realized by surface energy gradient push–pull effect via design distinct hydrophobic-hydrophilic difference, which spontaneously absorb sweat from skin. The DMWES membrane showed excellent comprehensive pressure sensing performance, high sensitivity (maximum 548.09 kPa−1), wide linear range, rapid response recovery time. addition, single-electrode triboelectric nanogenerator deliver areal power density 21.6 µW m−2 good cycling stability harvesting. Moreover, superior performance enabled all-range healthcare sensing, including accurate pulse monitoring, voice recognition, gait recognition. This work will help to boost development next-generation breathable applications AI, interaction, soft robots.

Language: Английский

Citations

126

Toward Sustainable Wearable Electronic Textiles DOI Creative Commons
Marzia Dulal, Shaila Afroj, Jaewan Ahn

et al.

ACS Nano, Journal Year: 2022, Volume and Issue: 16(12), P. 19755 - 19788

Published: Nov. 30, 2022

Smart wearable electronic textiles (e-textiles) that can detect and differentiate multiple stimuli, while also collecting storing the diverse array of data signals using highly innovative, multifunctional, intelligent garments, are great value for personalized healthcare applications. However, material performance sustainability, complicated difficult e-textile fabrication methods, their limited end-of-life processability major challenges to wide adoption e-textiles. In this review, we explore potential sustainable materials, manufacturing techniques, end-of-the-life processes developing eco-friendly addition, survey current state-of-the-art fibers materials (i.e., conductors, semiconductors, dielectrics) serve as different components in e-textiles then provide an overview environmentally friendly digital techniques such which involve less or no water utilization, combined with a reduction both waste energy consumption. Furthermore, standardized parameters evaluating sustainability established, life cycle analysis, biodegradability, recyclability. Finally, discuss development trends, well future research directions include integrated product design approach based on use processes, effective strategy manufacture next generation smart be either recycled value-added products decomposed landfill without any negative environmental impacts.

Language: Английский

Citations

123

Flexible Zinc–Air Batteries with Ampere‐Hour Capacities and Wide‐Temperature Adaptabilities DOI
Xiongwei Zhong, Zhiyang Zheng, Jiahe Xu

et al.

Advanced Materials, Journal Year: 2023, Volume and Issue: 35(13)

Published: Jan. 30, 2023

Flexible Zn-air batteries (FZABs) have significant potentials as efficient energy storage devices for wearable electronics because of their safeties and high energy-to-cost ratios. However, application is limited by short cycle lives, low discharge capacities per cycle, charge/discharge polarizations. Accordingly, herein, a poly(sodium acrylate)-polyvinyl alcohol (PANa-PVA)-ionic liquid (IL) hydrogel (PANa-PVA-IL) prepared using hygroscopic IL, 1-ethyl-3-methylimidazolium chloride, an additive twin-chain PANa-PVA. PANa-PVA-IL exhibits conductivity 306.9 mS cm-1 water uptake 2515 wt% at room temperature. Moreover, low-cost bifunctional catalyst, namely, Co9 S8 nanoparticles anchored on N- S-co-doped activated carbon black pearls 2000 (Co9 -NSABP), synthesized, which demonstrates O2 reversibility potential gap 0.629 V. FZABs based -NSABP demonstrate 1.67 mAh cm-2 long lives 330 h. Large-scale flexible rechargeable pouch cells exhibit total 1.03 Ah densities 246 Wh kgcell-1 . This study provides new information about hydrogels with ionic conductivities uptakes should facilitate the in electronics.

Language: Английский

Citations

123

Advances in Wearable Strain Sensors Based on Electrospun Fibers DOI
Zhiyuan Gao, Xiao Xiao, Aiden Di Carlo

et al.

Advanced Functional Materials, Journal Year: 2023, Volume and Issue: 33(18)

Published: Feb. 25, 2023

Abstract Wearable strain sensors with the ability of detecting physiological activities play an important role in personalized healthcare. Electrospun fibers have become a popular building block for wearable due to their excellent mechanical properties, breathability, and light weight. In this review, structure preparation process electrospun conductive layer are systematically introduced. The impact materials structures on following discussion sensing performance optimization strategies is outlined. Furthermore, applications fiber‐based biomonitoring, motion detection, human‐machine interaction presented. Finally, challenges promising future directions community based pointed out.

Language: Английский

Citations

123

A Self‐Powered Body Motion Sensing Network Integrated with Multiple Triboelectric Fabrics for Biometric Gait Recognition and Auxiliary Rehabilitation Training DOI
Chuanhui Wei, Renwei Cheng, Chuan Ning

et al.

Advanced Functional Materials, Journal Year: 2023, Volume and Issue: 33(35)

Published: May 7, 2023

Abstract Gait analysis provides a convenient strategy for the diagnosis and rehabilitation assessment of diseases skeletal, muscular, neurological systems. However, challenges remain in current gait recognition methods due to drawbacks complex systems, high cost, affecting natural gait, one‐size‐fits‐all model. Here, highly integrated system composed self‐powered multi‐point body motion sensing network (SMN) based on full textile structure is demonstrated. By combining newly developed energy harvesting technology triboelectric nanogenerator (TENG) traditional manufacturing process, SMN not only ensures pressure response sensitivity up 1.5 V kPa −1 , but also endowed with several good properties, such as flexibility, excellent breathability (165 mm s ), moisture permeability (318 g m −2 h ). using machine learning analyze periodic signals dynamic parameters limbs swing, exhibits accuracy 96.7% five pathological gaits. In addition, customizable auxiliary exercise that monitors extent patient's observe condition instruct timely recovery training. The learning‐assisted can provide feasible solution disease personalized patients.

Language: Английский

Citations

121