{"id":198026,"date":"2024-10-19T12:36:27","date_gmt":"2024-10-19T12:36:27","guid":{"rendered":"https:\/\/pdfstandards.shop\/product\/uncategorized\/aami-tir21900-2018\/"},"modified":"2024-10-25T05:09:41","modified_gmt":"2024-10-25T05:09:41","slug":"aami-tir21900-2018","status":"publish","type":"product","link":"https:\/\/pdfstandards.shop\/product\/publishers\/aami\/aami-tir21900-2018\/","title":{"rendered":"AAMI TIR21900 2018"},"content":{"rendered":"
This document provides guidance for some methods that could be used to evaluate the sources of uncertainty. It is important to note that there are many legitimate methods for analyzing the overall uncertainty and that the methods in this document are illustrative only.<\/p>\n
PDF Pages<\/th>\n | PDF Title<\/th>\n<\/tr>\n | ||||||
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1<\/td>\n | AAMI\/ISO TIR21900:2018; Guidance for uncertainty analysis regarding the application of ISO\/TS 10974 <\/td>\n<\/tr>\n | ||||||
3<\/td>\n | Title page <\/td>\n<\/tr>\n | ||||||
4<\/td>\n | Copyright information <\/td>\n<\/tr>\n | ||||||
5<\/td>\n | AAMI Technical Information Report <\/td>\n<\/tr>\n | ||||||
7<\/td>\n | Glossary of equivalent standards <\/td>\n<\/tr>\n | ||||||
8<\/td>\n | Committee representation <\/td>\n<\/tr>\n | ||||||
9<\/td>\n | Background of the AAMI adoption of ISO TR 21900:2018 <\/td>\n<\/tr>\n | ||||||
10<\/td>\n | Foreword <\/td>\n<\/tr>\n | ||||||
11<\/td>\n | Introduction <\/td>\n<\/tr>\n | ||||||
13<\/td>\n | 1 Scope 2 Normative references 3 Terms and definitions 4 Uncertainty background 4.1 General <\/td>\n<\/tr>\n | ||||||
14<\/td>\n | Figure 1 \u2014 Relationship of measured, mean, and true values and association of random and systematic errors 4.2 Method 1 evaluation <\/td>\n<\/tr>\n | ||||||
15<\/td>\n | 4.3 Method 2 evaluation 5 Experiment uncertainty (uexp) 5.1 General 5.2 Measurement tool uncertainty (probe) 5.3 Probe position uncertainty 5.4 Tissue simulating phantom 5.5 RF Field source <\/td>\n<\/tr>\n | ||||||
16<\/td>\n | 5.6 Phantom position uncertainty 5.7 AIMD Influence 5.8 Overall uexp consideration 6 AIMD Model uncertainty (uPredict) 6.1 Piecewise excitation method for deriving AIMD model <\/td>\n<\/tr>\n | ||||||
17<\/td>\n | Figure 2 \u2014 A typical measurement setup used to obtain Shotspot(z) with the piecewise excitation method <\/td>\n<\/tr>\n | ||||||
18<\/td>\n | 6.2 AIMD Model uncertainty (uPredict): Method 1 <\/td>\n<\/tr>\n | ||||||
19<\/td>\n | Figure 3 \u2014 Linear regression for example set of 25 AIMD radiated exposure predictions and corresponding power measurements <\/td>\n<\/tr>\n | ||||||
20<\/td>\n | Table 1 \u2014 Exposure values for Figure 3 <\/td>\n<\/tr>\n | ||||||
21<\/td>\n | Figure 4 \u2014 Absolute value of the residual errors for the example set of 25 AIMD radiated exposure predictions <\/td>\n<\/tr>\n | ||||||
22<\/td>\n | 6.3 AIMD Model uncertainty (uPredict): Method 2 Table 2 \u2014 Dominant sources of uncertainty <\/td>\n<\/tr>\n | ||||||
23<\/td>\n | 7 Clinical uncertainty (uClinical) 8 Uncertainty in conversion to power (upower) <\/td>\n<\/tr>\n | ||||||
24<\/td>\n | 9 Final uncertainty (combination and application) Table 3 \u2014 Summary of uncertainty terms included, and application to safety prediction <\/td>\n<\/tr>\n | ||||||
25<\/td>\n | Bibliography <\/td>\n<\/tr>\n<\/table>\n","protected":false},"excerpt":{"rendered":" AAMI\/ISO TIR21900:2018 – Guidance for uncertainty analysis regarding the application of ISO\/TS 10974<\/b><\/p>\n |