Sunstrum Frédérique N, Khan Jawairia Umar, Li Nga-Wun, Welsh Alec W
School of Design, Faculty of Design, Architecture and Built Environment, University of Technology Sydney, Sydney, Australia.
Institute for Biomedical Materials and Devices, School of Mathematical and Physical Sciences, Faculty of Science, University of Technology Sydney, Sydney, Australia.
Biosens Bioelectron. 2025 Apr 1;273:117133. doi: 10.1016/j.bios.2025.117133. Epub 2025 Jan 3.
Diabetes and cardiovascular disease are interlinked chronic conditions that necessitate continuous and precise monitoring of physiological and environmental parameters to prevent complications. Non-invasive monitoring technologies have garnered significant interest due to their potential to alleviate the current burden of diabetes and cardiovascular disease management. However, these technologies face limitations in accuracy and reliability due to interferences from physiological and environmental factors. This review investigates electronic textiles (e-textiles) that integrate biomedical sensors into wearable fabrics that can enable a multimodal platform for non-invasive continuous glucose monitoring (CGM). Current advancements in e-textiles show the potential of four key methods for glucose monitoring: optical, biochemical, biomechanical, and thermal sensing techniques. Biochemical sensing through sweat-based glucose detection has demonstrated potential for accurate and non-invasive monitoring but still faces numerous challenges. While optical, biomechanical and thermal sensing are less explored in e-textiles, they offer additional physiological and environmental insights that can improve the precision of glucose readings by providing cross-validation of data. This review proposes that integrating multiple sensing modalities into a single multimodal e-textile wearable can address the accuracy and reliability challenges by providing cross-validation of data. The development of such multimodal e-textiles has the potential to revolutionise diabetes and cardiovascular disease management by providing continuous, accurate, and holistic monitoring in real-time, which could significantly improve patient outcomes and quality of life. Further research and development are crucial to fully realise the potential of these integrated systems in clinical and everyday settings.
糖尿病和心血管疾病是相互关联的慢性疾病,需要持续且精确地监测生理和环境参数以预防并发症。非侵入性监测技术因其有望减轻当前糖尿病和心血管疾病管理的负担而备受关注。然而,由于生理和环境因素的干扰,这些技术在准确性和可靠性方面存在局限性。本综述研究了将生物医学传感器集成到可穿戴织物中的电子纺织品(电子织物),其能够实现一个用于非侵入性连续血糖监测(CGM)的多模态平台。电子织物的当前进展显示了用于血糖监测的四种关键方法的潜力:光学、生化、生物力学和热传感技术。通过基于汗液的葡萄糖检测进行生化传感已显示出准确且非侵入性监测的潜力,但仍面临诸多挑战。虽然光学、生物力学和热传感在电子织物中的探索较少,但它们提供了额外的生理和环境见解,可通过提供数据交叉验证来提高血糖读数的精度。本综述提出,将多种传感模式集成到单个多模态电子织物可穿戴设备中,通过提供数据交叉验证,能够解决准确性和可靠性挑战。这种多模态电子织物的开发有可能通过实时提供连续、准确和全面的监测来彻底改变糖尿病和心血管疾病的管理,这可能会显著改善患者的治疗效果和生活质量。进一步的研究和开发对于在临床和日常环境中充分实现这些集成系统的潜力至关重要。