{"title":"数字滤波方法在矫形器和假肢CAD/CAM中的性能。","authors":"J A Hastings, W M Vannah, D M Drvaric","doi":"10.1109/86.867884","DOIUrl":null,"url":null,"abstract":"<p><p>This report characterizes the performance of three digital filters, when applied to residual limb shape maps. The three filters were an averaging filter, a uniform window Fourier filter, and a Hamming window Fourier filter. The frequency responses of the three filters were calculated from theory, and experimentally observed. Experimental observations consisted of responses on single-frequency lobed shapes, and on residual limb shapes. Seven trans-tibial limb molds were digitized, three times each. Each resulting shape was then passed through each of the three filters. The before and after shapes were then compared. A Hamming window filter (low-pass frequency of 10 cycles per revolution, 24 coefficients, Hamming number of 0.25) achieved the best performance based on maintained amount of residual limb frequencies, and on visual observation.</p>","PeriodicalId":79442,"journal":{"name":"IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society","volume":"8 3","pages":"418-24"},"PeriodicalIF":0.0000,"publicationDate":"2000-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/86.867884","citationCount":"2","resultStr":"{\"title\":\"Performance of digital filtering methods in orthotic and prosthetic CAD/CAM.\",\"authors\":\"J A Hastings, W M Vannah, D M Drvaric\",\"doi\":\"10.1109/86.867884\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>This report characterizes the performance of three digital filters, when applied to residual limb shape maps. The three filters were an averaging filter, a uniform window Fourier filter, and a Hamming window Fourier filter. The frequency responses of the three filters were calculated from theory, and experimentally observed. Experimental observations consisted of responses on single-frequency lobed shapes, and on residual limb shapes. Seven trans-tibial limb molds were digitized, three times each. Each resulting shape was then passed through each of the three filters. The before and after shapes were then compared. A Hamming window filter (low-pass frequency of 10 cycles per revolution, 24 coefficients, Hamming number of 0.25) achieved the best performance based on maintained amount of residual limb frequencies, and on visual observation.</p>\",\"PeriodicalId\":79442,\"journal\":{\"name\":\"IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society\",\"volume\":\"8 3\",\"pages\":\"418-24\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1109/86.867884\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/86.867884\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/86.867884","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Performance of digital filtering methods in orthotic and prosthetic CAD/CAM.
This report characterizes the performance of three digital filters, when applied to residual limb shape maps. The three filters were an averaging filter, a uniform window Fourier filter, and a Hamming window Fourier filter. The frequency responses of the three filters were calculated from theory, and experimentally observed. Experimental observations consisted of responses on single-frequency lobed shapes, and on residual limb shapes. Seven trans-tibial limb molds were digitized, three times each. Each resulting shape was then passed through each of the three filters. The before and after shapes were then compared. A Hamming window filter (low-pass frequency of 10 cycles per revolution, 24 coefficients, Hamming number of 0.25) achieved the best performance based on maintained amount of residual limb frequencies, and on visual observation.