Exploring Technology-Driven Technology Roadmaps (TRM) for Wearable Biosensors in Healthcare

IF 5.6 4区医学 Q1 ENGINEERING, BIOMEDICAL

Irbm Pub Date : 2024-04-16 DOI:10.1016/j.irbm.2024.100835

Yu-Hui Wang

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引用次数: 0

Abstract

Objectives

This paper is proposed to identify both promising technologies and potential products in the domain of biosensor using patent-based Technology-Driven Technology Roadmaps (TRM).

Materials and methods

The technology-driven TRM with timelines in this study is developed in three layers: technology, function and product. Patent applications are collected and identified to interpret technologies and functions for biosensors in healthcare, and product manuals or releases can be used as product introductions.

Results

Most biosensors in healthcare patents are concentrated in biochemical (T2) and electroencephalography (T5). Glycated hemoglobin (F1), measuring of glucose (F3), and biological process and molecular systems (F6) have a relatively larger patent count. Biochemical (T2) can combine with biological process and molecular systems (F6), and then brain's real-time electrical activity monitoring can be handled. Biochemical (T2) can also devote to glycated hemoglobin (F1), and glucose monitoring (F3), and thus create QCM sensor, CGM and GlucoWatch etc. applications.

Conclusion

Biochemical (T2) has a wide application among different functions for wearable biosensors in healthcare. This paper identifies and explores new developments biochemical (T2), and electroencephalography (T5) in wearable biosensors are expected to play a significant role over the coming decade in improving the current healthcare infrastructure, and enhancing the democratization of information and allocation of medical resources.

Abstract Image

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探索医疗保健领域可穿戴生物传感器的技术驱动型技术路线图 (TRM)

本文建议利用基于专利的技术驱动型技术路线图（TRM）来识别生物传感器领域的前景技术和潜在产品。通过收集和识别专利申请来解释医疗保健领域生物传感器的技术和功能，并将产品手册或版本作为产品介绍。结果大多数医疗保健领域的生物传感器专利集中在生化（T2）和脑电图（T5）领域。糖化血红蛋白（F1）、葡萄糖测量（F3）以及生物过程和分子系统（F6）的专利数量相对较多。生化（T2）可与生物过程和分子系统（F6）相结合，进而处理实时脑电活动监测。生化（T2）还可用于糖化血红蛋白（F1）和葡萄糖监测（F3），从而创造出 QCM 传感器、CGM 和 GlucoWatch 等应用。本文确定并探讨了可穿戴生物传感器中生化（T2）和脑电图（T5）的新发展，预计它们将在未来十年中发挥重要作用，改善目前的医疗保健基础设施，促进信息民主化和医疗资源的分配。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Irbm ENGINEERING, BIOMEDICAL-

CiteScore

10.30

自引率

4.20%

发文量

审稿时长

57 days

期刊介绍： IRBM is the journal of the AGBM (Alliance for engineering in Biology an Medicine / Alliance pour le génie biologique et médical) and the SFGBM (BioMedical Engineering French Society / Société française de génie biologique médical) and the AFIB (French Association of Biomedical Engineers / Association française des ingénieurs biomédicaux). As a vehicle of information and knowledge in the field of biomedical technologies, IRBM is devoted to fundamental as well as clinical research. Biomedical engineering and use of new technologies are the cornerstones of IRBM, providing authors and users with the latest information. Its six issues per year propose reviews (state-of-the-art and current knowledge), original articles directed at fundamental research and articles focusing on biomedical engineering. All articles are submitted to peer reviewers acting as guarantors for IRBM''s scientific and medical content. The field covered by IRBM includes all the discipline of Biomedical engineering. Thereby, the type of papers published include those that cover the technological and methodological development in: -Physiological and Biological Signal processing (EEG, MEG, ECG…)- Medical Image processing- Biomechanics- Biomaterials- Medical Physics- Biophysics- Physiological and Biological Sensors- Information technologies in healthcare- Disability research- Computational physiology- …