Medical electrical equipment — Part 2-85: Particular requirements for the basic safety and essential...
This document applies to basic safety and essential performance of cerebral tissue oximeter equipment, that employs light at multiple wavelengths to derive a quantitative measure of oxygen saturation of haemoglobin within the volume of tissue sampled under the probe attached to the head. The cerebral tissue oximeter equipment can be based on continuous light, frequency domain or time domain…
Ferronickels — Determination of phosphorus, manganese, chromium, copper and cobalt contents — Induct...
This document specifies a method for the determination of phosphorus, manganese, chromium, copper and cobalt contents in ferronickels, by inductively coupled plasma (ICP) optical emission spectrometry, within the ranges specified in Table 1.
This method is applicable to all grades of ferronickels specified in ISO 6501.
Mesurage de la radioactivité dans l'environnement — Air: radon 222 — Partie 4: Méthode de mesur...
Le présent document décrit les méthodes de mesure intégrée du radon-222 avec prélèvement passif. Elle fournit des indications pour déterminer l'activité volumique moyenne du radon-222 dans l'air à partir de mesurages effectués par prélèvement passif, de mise en œuvre facile peu coûteuse, ainsi que sur les conditions d'utilisation des capteurs.
Le présent document traite des…
Measurement of radioactivity in the environment — Air: radon-222 — Part 4: Integrated measurement me...
This document describes radon-222 integrated measurement techniques with passive sampling. It gives indications for determining the average activity concentration of the radon-222 in the air from measurements based on easy-to-use and low-cost passive sampling, and the conditions of use for the sensors.
This document covers samples taken without interruption over periods varying from a few days to…
Health informatics — Applications of machine learning technologies in imaging and other medical appl...
This document lists examples of and defines categories of use cases for machine learning in medicine for clinical practice.
The developments and applications of machine learning technologies for artificial intelligence consist of 1) data collection and curation, 2) pre-processing, 3) model training and validation, and 4) medicine depending on various kinds of specialty including radiology,…
