Page 62 - Read Online
P. 62

Page 14 of 15                                                         Zhao et al. Soft Sci. 2026, 6, 4





               17.  Liu, Z.; Zhao, Z.; Zeng, X.; Fu, X.; Hu, Y. Expandable microsphere-based triboelectric nanogenerators as ultrasensitive pressure sensors
                  for respiratory and pulse monitoring. Nano. Energy. 2019, 59, 295-301. DOI
               18.  Liang, Y.; Ding, Q.; Wang, H.; et al. Humidity sensing of stretchable and transparent hydrogel films for wireless respiration monitoring.
                  Nanomicro. Lett. 2022, 14, 183. DOI PubMed PMC
               19.  Ni, X.; Ouyang, W.; Jeong, H.; et al. Automated, multiparametric monitoring of respiratory biomarkers and vital signs in clinical and
                  home settings for COVID-19 patients. Proc. Natl. Acad. Sci. U. S. A. 2021, 118, e2026610118. DOI PubMed PMC
               20.  Liu, J.; Wang, H.; Liu, T.; et al. Multimodal hydrogel-based respiratory monitoring system for diagnosing obstructive sleep apnea
                  syndrome. Adv. Funct. Mater. 2022, 32, 2204686. DOI
               21.  Zhao, W.; He, P.; Ling, K.; et al. Printed graphene/CNTs/TPU-fabric wearable strain sensor for healthcare monitoring. Soft. Sci. 2025, 5,
                  10. DOI
               22.  Dinh, T.; Nguyen, T.; Phan, H. P.; Nguyen, N. T.; Dao, D. V.; Bell, J. Stretchable respiration sensors: advanced designs and
                  multifunctional platforms for wearable physiological monitoring. Biosens. Bioelectron. 2020, 166, 112460. DOI PubMed
               23.  Menden, T.; Alcaín, G. B.; Stevenson, A. T.; et al. Dynamic lung behavior under high G acceleration monitored with electrical
                  impedance tomography. Physiol. Meas. 2021, 42, 094001. DOI PubMed
               24.  Yan, M.; Hao, Q.; Diao, S.; et al. Smart home sleep respiratory monitoring system based on a breath-responsive covalent organic
                  framework. ACS. Nano. 2024, 18, 728-37. DOI PubMed
               25.  Qin, J.; Yang, X.; Shen, C.; et al. Carbon nanodot-based humidity sensor for self-powered respiratory monitoring. Nano. Energy. 2022,
                  101, 107549. DOI
               26.  Pang, Y.; Jian, J.; Tu, T.; et al. Wearable humidity sensor based on porous graphene network for respiration monitoring. Biosens.
                  Bioelectron. 2018, 116, 123-9. DOI PubMed
               27.  Lei, D.; Zhang, Q.; Liu, N.; et al. Self-powered graphene oxide humidity sensor based on potentiometric humidity transduction
                  mechanism. Adv. Funct. Mater. 2022, 32, 2107330. DOI
               28.  Mandal, S.; Mantilla, H. M.; Loganathan, K.; et al. Ultra-fast moisture sensor for respiratory cycle monitoring and non-contact sensing
                  applications. Adv. Mater. 2025, 37, e2414005. DOI PubMed PMC
               29.  Xu, Z.; Hao, Y.; Luo, A.; Jiang, Y. Technologies and applications in wireless biosensors for real-time health monitoring. Med-X 2024, 2,
                  41. DOI
               30.  Zhou, B.; Ding, L.; Chen, B.; et al. Physiological characteristics and operational performance of pilots in the high temperature and
                  humidity fighter cockpit environments. Sensors 2021, 21, 5798. DOI PubMed PMC
               31.  Zhang, Q.; Soham, D.; Liang, Z.; Wan, J. Advances in wearable energy storage and harvesting systems. Med-X 2025, 3, 48. DOI
               32.  Kwak, W.; Yin, J.; Wang, S.; Chen, J. Advances in triboelectric nanogenerators for self-powered wearable respiratory monitoring.
                  FlexMat 2024, 1, 5-22. DOI
               33.  Su, Y.; Chen, G.; Chen, C.; et al. Self-powered respiration monitoring enabled by a triboelectric nanogenerator. Adv. Mater. 2021, 33,
                  e2101262. DOI PubMed
               34.  Dai, J.; Li, L.; Shi, B.; Li, Z. Recent progress of self-powered respiration monitoring systems. Biosens. Bioelectron. 2021, 194, 113609.
                  DOI PubMed
               35.  Tat, T.; Libanori, A.; Au, C.; Yau, A.; Chen, J. Advances in triboelectric nanogenerators for biomedical sensing. Biosens. Bioelectron.
                  2021, 171, 112714. DOI PubMed
               36.  Li, J.; Long, Y.; Yang, F.; Wang, X. Respiration-driven triboelectric nanogenerators for biomedical applications. EcoMat 2020, 2,
                  e12045. DOI PubMed PMC
               37.  Fang, Y.; Zou, Y.; Xu, J.; et al. Ambulatory cardiovascular monitoring via a machine-learning-assisted textile triboelectric sensor. Adv.
                  Mater. 2021, 33, e2104178. DOI PubMed PMC
               38.  Ates, H. C.; Nguyen, P. Q.; Gonzalez-Macia, L.; et al. End-to-end design of wearable sensors. Nat. Rev. Mater. 2022, 7, 887-907. DOI
                  PubMed PMC
               39.  Lee, Y. J.; Park, C.; Kim, H.; Cho, S. J.; Yeo, W. Artificial intelligence on biomedical signals: technologies, applications, and future
                  directions. Med-X 2024, 2, 43. DOI
               40.  Lone, S. A.; Lim, K. C.; Kaswan, K.; et al. Recent advancements for improving the performance of triboelectric nanogenerator devices.
                  Nano. Energy. 2022, 99, 107318. DOI
               41.  Li, C.; Yang, Y.; Qu, R.; et al. Recent advances in plasma etching for micro and nano fabrication of silicon-based materials: a review. J.
                  Mater. Chem. C. 2024, 12, 18211-37. DOI
               42.  Xiao, K.; Wang, W.; Wang, K.; Zhang, H.; Dong, S.; Li, J. Improving triboelectric nanogenerators performance via interface tribological
                  optimization: a review. Adv. Funct. Mater. 2024, 34, 2404744. DOI
               43.  Liu, J.; Gu, L.; Cui, N.; Xu, Q.; Qin, Y.; Yang, R. Fabric-based triboelectric nanogenerators. Research 2019, 2019, 1091632. DOI
                  PubMed PMC
   57   58   59   60   61   62   63   64   65   66   67