{"title":"一种用于针刺量化的压电力传感手套","authors":"Kaize Lin, Jin Cao, Shuo Gao","doi":"10.1109/FLEPS49123.2020.9239536","DOIUrl":null,"url":null,"abstract":"Acupuncture is one of the most significant therapies of Chinese traditional medical science, and it is now globally utilized for treatment, e.g., pain management. Traditionally, there is no quantification means for storing masters’ skills and examining trainee’s learning effect, hence, strongly limiting the development of acupuncture. To address this issue, in this article, a piezoelectric glove based wearable stress sensing system is presented. Experimental results showcase that through the piezoelectric force sensing glove, key parameters (e.g., peak stress at needle) during performing acupuncture are detected and extracted, potentially improving the learning efficiency of trainees and therefore advancing the progress of acupuncture.","PeriodicalId":101496,"journal":{"name":"2020 IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A Piezoelectric Force Sensing Glove For Acupuncture Quantification\",\"authors\":\"Kaize Lin, Jin Cao, Shuo Gao\",\"doi\":\"10.1109/FLEPS49123.2020.9239536\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Acupuncture is one of the most significant therapies of Chinese traditional medical science, and it is now globally utilized for treatment, e.g., pain management. Traditionally, there is no quantification means for storing masters’ skills and examining trainee’s learning effect, hence, strongly limiting the development of acupuncture. To address this issue, in this article, a piezoelectric glove based wearable stress sensing system is presented. Experimental results showcase that through the piezoelectric force sensing glove, key parameters (e.g., peak stress at needle) during performing acupuncture are detected and extracted, potentially improving the learning efficiency of trainees and therefore advancing the progress of acupuncture.\",\"PeriodicalId\":101496,\"journal\":{\"name\":\"2020 IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS)\",\"volume\":\"61 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-03-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FLEPS49123.2020.9239536\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FLEPS49123.2020.9239536","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Piezoelectric Force Sensing Glove For Acupuncture Quantification
Acupuncture is one of the most significant therapies of Chinese traditional medical science, and it is now globally utilized for treatment, e.g., pain management. Traditionally, there is no quantification means for storing masters’ skills and examining trainee’s learning effect, hence, strongly limiting the development of acupuncture. To address this issue, in this article, a piezoelectric glove based wearable stress sensing system is presented. Experimental results showcase that through the piezoelectric force sensing glove, key parameters (e.g., peak stress at needle) during performing acupuncture are detected and extracted, potentially improving the learning efficiency of trainees and therefore advancing the progress of acupuncture.