Decheng Wu , Xingchen Liu , Rui Li , Hui Jiang , Xuzhao Peng , Wenzhuo Wang , Li Yang , Shiming Wu
{"title":"一种基于人体红外热成像的艾灸机器人定位系统","authors":"Decheng Wu , Xingchen Liu , Rui Li , Hui Jiang , Xuzhao Peng , Wenzhuo Wang , Li Yang , Shiming Wu","doi":"10.1016/j.infrared.2025.106154","DOIUrl":null,"url":null,"abstract":"<div><div>Infrared thermography provides valuable auxiliary information that aids doctors in diagnosing and treating patients, and its effective integration with moxibustion therapy can enhance both the accuracy and efficiency of treatment. However, when moxibustion is administered based on infrared thermography information, the physician is required to relocate the patient for a second time. To address this issue, this paper proposes a moxibustion robot positioning system based on human infrared thermography. A moxibustion robot is designed to realize automated moxibustion operation based on the treatment plan of infrared thermography. A novel cross-modal image localization matching method for human infrared thermography and visible light images is also proposed, which uses a human keypoint detection algorithm and a spatial transformation algorithm to map the to-be-treated points on the infrared thermography of the patient to the visible light image of the patient, and Integrates with the moxibustion robot to realize automated moxibustion treatment. The system was validated and tested by constructing a human infrared thermography dataset. Three volunteers were participated in the repetitive localization experiment, and five acupoints on the back of each volunteer were selected as the points to be treated. The experimental results showed that the average error of localization of different acupoints for different individuals was 8.32 mm, which meets the demand of moxibustion treatment.</div></div>","PeriodicalId":13549,"journal":{"name":"Infrared Physics & Technology","volume":"151 ","pages":"Article 106154"},"PeriodicalIF":3.4000,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A moxibustion robot positioning system based on human infrared thermography\",\"authors\":\"Decheng Wu , Xingchen Liu , Rui Li , Hui Jiang , Xuzhao Peng , Wenzhuo Wang , Li Yang , Shiming Wu\",\"doi\":\"10.1016/j.infrared.2025.106154\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Infrared thermography provides valuable auxiliary information that aids doctors in diagnosing and treating patients, and its effective integration with moxibustion therapy can enhance both the accuracy and efficiency of treatment. However, when moxibustion is administered based on infrared thermography information, the physician is required to relocate the patient for a second time. To address this issue, this paper proposes a moxibustion robot positioning system based on human infrared thermography. A moxibustion robot is designed to realize automated moxibustion operation based on the treatment plan of infrared thermography. A novel cross-modal image localization matching method for human infrared thermography and visible light images is also proposed, which uses a human keypoint detection algorithm and a spatial transformation algorithm to map the to-be-treated points on the infrared thermography of the patient to the visible light image of the patient, and Integrates with the moxibustion robot to realize automated moxibustion treatment. The system was validated and tested by constructing a human infrared thermography dataset. Three volunteers were participated in the repetitive localization experiment, and five acupoints on the back of each volunteer were selected as the points to be treated. The experimental results showed that the average error of localization of different acupoints for different individuals was 8.32 mm, which meets the demand of moxibustion treatment.</div></div>\",\"PeriodicalId\":13549,\"journal\":{\"name\":\"Infrared Physics & Technology\",\"volume\":\"151 \",\"pages\":\"Article 106154\"},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2025-09-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Infrared Physics & Technology\",\"FirstCategoryId\":\"101\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1350449525004475\",\"RegionNum\":3,\"RegionCategory\":\"物理与天体物理\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"INSTRUMENTS & INSTRUMENTATION\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Infrared Physics & Technology","FirstCategoryId":"101","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1350449525004475","RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"INSTRUMENTS & INSTRUMENTATION","Score":null,"Total":0}
A moxibustion robot positioning system based on human infrared thermography
Infrared thermography provides valuable auxiliary information that aids doctors in diagnosing and treating patients, and its effective integration with moxibustion therapy can enhance both the accuracy and efficiency of treatment. However, when moxibustion is administered based on infrared thermography information, the physician is required to relocate the patient for a second time. To address this issue, this paper proposes a moxibustion robot positioning system based on human infrared thermography. A moxibustion robot is designed to realize automated moxibustion operation based on the treatment plan of infrared thermography. A novel cross-modal image localization matching method for human infrared thermography and visible light images is also proposed, which uses a human keypoint detection algorithm and a spatial transformation algorithm to map the to-be-treated points on the infrared thermography of the patient to the visible light image of the patient, and Integrates with the moxibustion robot to realize automated moxibustion treatment. The system was validated and tested by constructing a human infrared thermography dataset. Three volunteers were participated in the repetitive localization experiment, and five acupoints on the back of each volunteer were selected as the points to be treated. The experimental results showed that the average error of localization of different acupoints for different individuals was 8.32 mm, which meets the demand of moxibustion treatment.
期刊介绍:
The Journal covers the entire field of infrared physics and technology: theory, experiment, application, devices and instrumentation. Infrared'' is defined as covering the near, mid and far infrared (terahertz) regions from 0.75um (750nm) to 1mm (300GHz.) Submissions in the 300GHz to 100GHz region may be accepted at the editors discretion if their content is relevant to shorter wavelengths. Submissions must be primarily concerned with and directly relevant to this spectral region.
Its core topics can be summarized as the generation, propagation and detection, of infrared radiation; the associated optics, materials and devices; and its use in all fields of science, industry, engineering and medicine.
Infrared techniques occur in many different fields, notably spectroscopy and interferometry; material characterization and processing; atmospheric physics, astronomy and space research. Scientific aspects include lasers, quantum optics, quantum electronics, image processing and semiconductor physics. Some important applications are medical diagnostics and treatment, industrial inspection and environmental monitoring.