当前位置: X-MOL 学术Biosens. Bioelectron. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Artificial intelligence biosensors: Challenges and prospects.
Biosensors and Bioelectronics ( IF 10.7 ) Pub Date : 2020-07-03 , DOI: 10.1016/j.bios.2020.112412
Xiaofeng Jin 1 , Conghui Liu 1 , Tailin Xu 2 , Lei Su 1 , Xueji Zhang 2
Affiliation  

Artificial intelligence (AI) and wearable sensors are two essential fields to realize the goal of tailoring the best precision medicine treatment for individual patients. Integration of these two fields enables better acquisition of patient data and improved design of wearable sensors for monitoring the wearers' health, fitness and their surroundings. Currently, as the Internet of Things (IoT), big data and big health move from concept to implementation, AI-biosensors with appropriate technical characteristics are facing new opportunities and challenges. In this paper, the most advanced progress made in the key phases for future wearable and implantable technology from biosensing, wearable biosensing to AI-biosensing is summarized. Without a doubt, material innovation, biorecognition element, signal acquisition and transportation, data processing and intelligence decision system are the most important parts, which are the main focus of the discussion. The challenges and opportunities of AI-biosensors moving forward toward future medicine devices are also discussed.



中文翻译:

人工智能生物传感器:挑战与前景。

人工智能(AI)和可穿戴传感器是实现针对个别患者量身定制最佳精密药物治疗目标的两个必不可少的领域。这两个领域的整合可以更好地采集患者数据,并改进可穿戴式传感器的设计,以监测穿戴者的健康,健康状况及其周围环境。当前,随着物联网(IoT),大数据和大健康从概念到实现的转变,具有适当技术特征的AI生物传感器正面临着新的机遇和挑战。本文总结了从生物传感,可穿戴生物传感到AI生物传感在未来可穿戴和可植入技术关键阶段取得的最先进进展。毫无疑问,材料创新,生物识别要素,信号采集和运输,数据处理和智能决策系统是最重要的部分,是讨论的重点。还讨论了AI-生物传感器向未来医学设备发展的挑战和机遇。

更新日期:2020-07-05
down
wechat
bug