{"id":18425,"date":"2026-10-13T12:30:33","date_gmt":"2026-10-13T15:30:33","guid":{"rendered":"https:\/\/arkmeds.com\/?p=18425"},"modified":"2026-10-13T12:30:34","modified_gmt":"2026-10-13T15:30:34","slug":"pulse-oximeter-simulator-clinical-accuracy","status":"publish","type":"post","link":"https:\/\/arkmeds.com\/en\/blog\/pulse-oximeter-simulator-clinical-accuracy\/","title":{"rendered":"Does a simulator test prove pulse oximeter accuracy? Evidence from 11,018 measurements"},"content":{"rendered":"\n<style>.ark-research{--ark-teal:#0097A9;--ark-slate:#244C5A;--ark-yellow:#FFC72C;font-family:Montserrat,Arial,sans-serif;color:#244C5A;max-width:900px;margin:0 auto;font-size:18px;line-height:1.85;text-align:left}\n.ark-research *{box-sizing:border-box}.ark-research p{margin:0 0 1.4em}.ark-research h2{font-size:clamp(24px,3.2vw,34px);line-height:1.3;font-weight:700;color:#244C5A;text-transform:none!important;margin:2.6em 0 .8em;scroll-margin-top:100px}.ark-research a{color:#007A89;text-decoration:underline;text-underline-offset:4px;transition:color .15s ease}.ark-research a:hover,.ark-research a:focus{color:#244C5A}.ark-research .ark-byline{font-size:15px;line-height:1.65;margin:0 0 24px;padding-bottom:20px;border-bottom:2px solid #0097A9}.ark-research .ark-lead{font-size:clamp(20px,2.3vw,24px);line-height:1.65;font-weight:500}.ark-research .ark-photo-note{font-size:13px;line-height:1.6;color:#536D76;margin:0 0 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.ark-answer{padding-left:18px}.ark-research th,.ark-research td{padding:14px 11px}.ark-research table{font-size:14px}.ark-research tbody th{min-width:105px}.ark-research .ark-product figure{margin-bottom:12px}}\n\n.ark-research .ark-takeaways{padding-left:25px;margin:24px 0}.ark-research .ark-takeaways li{padding:8px 0 16px;line-height:1.75}\n.ark-research .ark-product-steps{padding-left:28px;margin:24px 0}.ark-research .ark-product-steps li{padding:7px 0 12px}.ark-research .ark-product-cta{display:inline-block;max-width:100%;padding:14px 20px;min-height:44px;background:#244C5A;color:#fff;font-size:16px;font-weight:650;line-height:1.6;text-decoration:none}.ark-research .ark-product-cta:hover,.ark-research .ark-product-cta:focus{background:#244C5A;color:#FFC72C}.ark-research .ark-product-cta:focus-visible{outline:3px solid #FFC72C;outline-offset:4px}.ark-research .ark-product img{height:auto;object-fit:contain}\n\n.ark-research h3{font-size:21px;line-height:1.4;margin:30px 0 16px}.ark-research .ark-bar-value{font-size:20px}.ark-research .ark-bar-row{grid-template-columns:minmax(145px,1fr) 1.5fr minmax(90px,auto)}@media(max-width:600px){.ark-research .ark-bar-row{grid-template-columns:1fr 95px}}\n.ark-research div.ark-product-cta{display:block;padding:26px 28px;margin:30px 0;font-weight:400;color:#fff}.ark-research div.ark-product-cta h3{margin:0 0 12px;color:#fff}.ark-research div.ark-product-cta p{margin:0 0 20px;color:#fff}.ark-research div.ark-product-cta a{display:inline-block;padding:12px 18px;background:#FFC72C;color:#244C5A;text-decoration:none;font-weight:700;min-height:44px}.ark-research div.ark-product-cta a:focus-visible{outline:3px solid #fff;outline-offset:5px}.ark-research .ark-product-photo img{margin:0 auto}.ark-research .ark-product-photo figcaption{text-align:left}.ark-research .ark-chart-scale{font-size:12px;color:#536D76;margin-top:16px}.ark-research .ark-fill{max-width:100%}\n\nbody.single-post h1.elementor-heading-title{text-transform:none!important}\n.ark-research .ark-toc a{display:block}\n@media(max-width:600px){.ark-research .ark-toc a{min-height:44px}}\n\n.ark-research .ark-toc a{display:block;min-height:44px} body.single-post h1.elementor-heading-title{text-transform:none!important}<\/style>\n<article class=\"ark-research\" lang=\"en\"><p class=\"ark-byline\">By <strong>Thiago Bajur<\/strong> \u00b7 CEO, Arkmeds<\/p><p class=\"ark-photo-note\">Cover: conceptual AI-generated illustration. It does not depict an actual test or measurement.<\/p><p><strong>No. Passing a simulator test demonstrates the assessed behaviour in that configuration; it does not, by itself, establish clinical SpO\u2082 accuracy in patients.<\/strong> Monitor, sensor, cable, algorithm and conditions of use all contribute to measurement. Understanding these boundaries produces better technical conclusions.<\/p><nav class=\"ark-toc\" aria-label=\"In this article\"><strong>In this article<\/strong><ol><li><a href=\"#what-does-a-simulator-test-and-what-remains-outside-its-scope\">What does a simulator test, and what remains outside its scope?<\/a><\/li><li><a href=\"#what-did-11-018-paired-measurements-reveal\">What did 11,018 paired measurements reveal?<\/a><\/li><li><a href=\"#why-can-one-percentage-point-matter-near-a-threshold\">Why can one percentage point matter near a threshold?<\/a><\/li><li><a href=\"#bias-precision-and-a-rms-answer-different-questions\">Bias, precision and A_RMS answer different questions<\/a><\/li><li><a href=\"#translating-a-rate-into-a-workload-without-changing-the-denominator\">Translating a rate into a workload without changing the denominator<\/a><\/li><li><a href=\"#what-does-an-earlier-study-add\">What does an earlier study add?<\/a><\/li><li><a href=\"#how-do-regulatory-references-separate-these-evaluations\">How do regulatory references separate these evaluations?<\/a><\/li><li><a href=\"#before-condemning-the-oximeter-check-the-complete-configuration\">Before condemning the oximeter, check the complete configuration<\/a><\/li><li><a href=\"#how-does-yagi-support-test-documentation\">How does Yagi support test documentation?<\/a><\/li><li><a href=\"#a-report-conclusion-that-respects-the-evidence\">A report conclusion that respects the evidence<\/a><\/li><li><a href=\"#additional-questions\">Additional questions<\/a><\/li><\/ol><\/nav>\n<p>Consider this illustrative scenario: a pulse oximeter returns from service with a report showing several simulated points passed. The team asks: \u201cDoes that mean every patient reading will be correct?\u201d The report is useful, but that conclusion exceeds its evidence. The challenge is to understand which question each form of evidence answers.<\/p>\n<h2 id=\"what-does-a-simulator-test-and-what-remains-outside-its-scope\">What does a simulator test, and what remains outside its scope?<\/h2>\n<p>A pulse oximeter estimates peripheral saturation, SpO\u2082, through optical signals and processing. A simulator provides controlled signals to investigate system responses according to its compatibility and procedure. A patient introduces biological and usage variables that a bench signal does not fully reproduce.<\/p>\n<div class=\"ark-table-scroll\" tabindex=\"0\"><table><thead><tr><th scope=\"col\">Evidence<\/th><th scope=\"col\">Question it helps answer<\/th><th scope=\"col\">Conclusion that does not follow automatically<\/th><\/tr><\/thead><tbody><tr><th scope=\"row\">Functional simulator test<\/th><td>Does the system respond to the specified signals and parameters?<\/td><td>Clinical accuracy in every patient<\/td><\/tr><tr><th scope=\"row\">Clinical accuracy evaluation<\/th><td>How does the system compare with a reference in studied participants?<\/td><td>Identical performance in every context<\/td><\/tr><tr><th scope=\"row\">Inspection and service history<\/th><td>Is there damage, incompatibility or change after intervention?<\/td><td>Absence of every algorithm limitation<\/td><\/tr><tr><th scope=\"row\">Clinical assessment during use<\/th><td>Is the reading consistent with context and other information?<\/td><td>That an isolated number is enough for a decision<\/td><\/tr><\/tbody><\/table><\/div>\n<p><strong>A well-documented functional test remains valuable.<\/strong> It can identify reproducible problems and compare conditions before and after service. The mistake is turning that scope into a guarantee it did not investigate.<\/p>\n<h2 id=\"what-did-11-018-paired-measurements-reveal\">What did 11,018 paired measurements reveal?<\/h2>\n<p>The <a href=\"https:\/\/doi.org\/10.1136\/bmj-2025-085535\">EXAKT study (Martin and colleagues, BMJ, 2026)<\/a> recruited <strong>903 critically ill adults in 24 English ICUs<\/strong> from June 2022 to August 2024. It evaluated five fingertip models supplied for NHS home monitoring. The ICU monitors used for patient care were not the devices being evaluated.<\/p>\n<p>Researchers collected <strong>5,656 arterial saturation measurements<\/strong>, yielding <strong>11,018 paired observations<\/strong> with up to two oximeters. Skin tone was measured objectively by spectrophotometry. Repeated observations were accounted for in the models; 11,018 observations do not mean 11,018 independent patients.<\/p>\n<div class=\"ark-table-scroll\" tabindex=\"0\"><table><thead><tr><th scope=\"col\">Reported comparison<\/th><th scope=\"col\">Result across the five models<\/th><th scope=\"col\">How to read it<\/th><\/tr><\/thead><tbody><tr><th scope=\"row\">SpO\u2082 difference, median dark versus median light skin tone, at a given SaO\u2082<\/th><td>+0.6 to +1.5 percentage points<\/td><td>A difference in readings, not a universal correction<\/td><\/tr><tr><th scope=\"row\">Estimated false-negative rate: SpO\u2082 >94% despite SaO\u2082 \u226492%, median dark skin tone<\/th><td>7.6\u201362.2%<\/td><td>Model-specific estimates; not prevalence among all patients<\/td><\/tr><tr><th scope=\"row\">Same false-negative definition, median light skin tone<\/th><td>1.2\u201326.9%<\/td><td>Same comparison framework<\/td><\/tr><tr><th scope=\"row\">Within-model absolute difference, dark minus light<\/th><td>+5.3 to +35.3 percentage points<\/td><td>Do not subtract the opposite endpoints of the two ranges<\/td><\/tr><tr><th scope=\"row\">Within-model ratio of false-negative rates, dark divided by light<\/th><td>2.3\u20137.1<\/td><td>Rate ratios, not a single pooled risk estimate<\/td><\/tr><\/tbody><\/table><\/div>\n<p>These are <strong>ranges across models<\/strong>, not confidence intervals. The study models included saturation, skin tone and other factors. All five devices tended to overestimate lower saturations and underestimate higher ones. Poor perfusion in critically ill patients may also affect readings, and findings should not be generalized to every model or setting.<\/p>\n<h2 id=\"why-can-one-percentage-point-matter-near-a-threshold\">Why can one percentage point matter near a threshold?<\/h2>\n<p>Consider an <strong>illustrative arithmetic example<\/strong>, not a study result or treatment rule. Keep arterial saturation fixed at 92% and change only a hypothetical displayed value:<\/p>\n<div class=\"ark-table-scroll\" tabindex=\"0\"><table><thead><tr><th scope=\"col\">Scenario<\/th><th scope=\"col\">Arterial reference<\/th><th scope=\"col\">Displayed SpO\u2082<\/th><th scope=\"col\">Above the study&#8217;s 94% threshold?<\/th><\/tr><\/thead><tbody><tr><th scope=\"row\">A<\/th><td>92%<\/td><td>93.5%<\/td><td>No<\/td><\/tr><tr><th scope=\"row\">B<\/th><td>92%<\/td><td>94.5%<\/td><td>Yes<\/td><\/tr><\/tbody><\/table><\/div>\n<p>The display changed by <strong>1 percentage point<\/strong>, but its classification changed. This explains why an average error and a threshold-based outcome answer different questions. It does not estimate the probability of that event or justify correcting a patient&#8217;s reading by one point.<\/p>\n<h2 id=\"bias-precision-and-a-rms-answer-different-questions\">Bias, precision and A_RMS answer different questions<\/h2>\n<p>Bias describes systematic error; precision describes scatter; root mean square error combines error magnitude. An aggregate score does not tell us how errors fall around a decision threshold. EXAKT found that its overall A_RMS metric did not adequately reflect the diagnostic differences across skin tones.<\/p>\n<p>Here is a <strong>synthetic two-reading calculation<\/strong> to make the distinction concrete. Errors are displayed saturation minus reference saturation, in percentage points. These numbers are invented for arithmetic; they are not devices, patients or acceptance limits.<\/p>\n<div class=\"ark-table-scroll\" tabindex=\"0\"><table><thead><tr><th scope=\"col\">Illustrative error set<\/th><th scope=\"col\">Mean error (bias)<\/th><th scope=\"col\">RMS error<\/th><\/tr><\/thead><tbody><tr><th scope=\"row\">\u22122 and +2 percentage points<\/th><td>(\u22122 + 2) \/ 2 = 0<\/td><td>\u221a[(4 + 4) \/ 2] = 2<\/td><\/tr><tr><th scope=\"row\">0 and +2.828427\u2026 percentage points<\/th><td>Approximately +1.414<\/td><td>\u221a[(0 + 8) \/ 2] = 2<\/td><\/tr><\/tbody><\/table><\/div>\n<p><strong>The same RMS error can coexist with different bias.<\/strong> Conversely, a zero mean error does not mean every reading is correct. For a technical reader, the practical question is which metric and reference support the claim being made.<\/p>\n<h2 id=\"translating-a-rate-into-a-workload-without-changing-the-denominator\">Translating a rate into a workload without changing the denominator<\/h2>\n<p>A false-negative rate concerns observations that meet the reference definition of the condition. In EXAKT&#8217;s comparison above, the relevant condition is SaO\u2082 \u226492%; the missed classification is SpO\u2082 >94%.<\/p>\n<p>For an <strong>invented example<\/strong>, a 10% false-negative rate means 10 missed classifications per 100 reference-positive observations. A 30% rate means 30 per 100. The absolute difference is <strong>20 percentage points<\/strong>, the ratio is <strong>3<\/strong>, and the relative increase is <strong>200%<\/strong>. None is the same as saying 30% of all patients were missed.<\/p>\n<p>This conversion is useful when explaining a report to a purchasing or clinical team. Keep the eligibility condition, unit and period beside the number. Do not count repeated measurements as new people, average unmatched device ranges or turn this example into an estimate for your hospital.<\/p>\n<h2 id=\"what-does-an-earlier-study-add\">What does an earlier study add?<\/h2>\n<p>In <a href=\"https:\/\/doi.org\/10.1056\/NEJMc2029240\">Sjoding and colleagues, 2020<\/a>, the Michigan subgroup with SpO\u2082 of 92\u201396% had arterial saturation below 88% in <strong>88\/749 measurement pairs (11.7%)<\/strong> from Black patients and <strong>99\/2,778 (3.6%)<\/strong> from White patients. Participants were hospitalized adults; paired measurements were taken within ten minutes.<\/p>\n<figure class=\"ark-chart\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/arkmeds.com\/wp-content\/uploads\/2026\/10\/arkmeds-oximetria-ic95-en.png\" alt=\"Michigan subgroup graph: 11.7% (95% CI: 8.5\u201316.0%) and 3.6% (2.7\u20134.7%) of selected pairs had arterial saturation below 88%, in self-identified Black and White patient groups, respectively.\" width=\"960\" height=\"1200\" loading=\"lazy\" style=\"width:100%;height:auto\"><figcaption>Sjoding et al., Michigan subgroup. Denominators: 749 and 2,778 measurement pairs; self-identified groups. Scale: 0\u201320%; Lines: published 95% CIs, also in the table.<\/figcaption><\/figure>\n<p><strong>How to read the lines:<\/strong> they show the published 95% confidence intervals for these proportions. They are not an SpO\u2082 reading error range or an oximeter acceptance criterion. The table preserves the numerical values for reference.<\/p>\n<div class=\"ark-table-scroll\" tabindex=\"0\"><table><thead><tr><th scope=\"col\">Self-identified group in the study<\/th><th scope=\"col\">Pairs with arterial saturation below 88%<\/th><th scope=\"col\">Proportion&#8217;s 95% CI<\/th><\/tr><\/thead><tbody><tr><th scope=\"row\">Black patients<\/th><td>88\/749 \u2014 11.7%<\/td><td>8.5\u201316.0%<\/td><\/tr><tr><th scope=\"row\">White patients<\/th><td>99\/2,778 \u2014 3.6%<\/td><td>2.7\u20134.7%<\/td><\/tr><\/tbody><\/table><\/div>\n<p>Using the published rounded proportions, <strong>11.7 \u2212 3.6 = 8.1 percentage points<\/strong>, while <strong>11.7 \/ 3.6 \u2248 3.25<\/strong>. These are descriptive calculations, not adjusted estimates or new confidence intervals. The groups and definitions differ from EXAKT, so the two studies should not be pooled.<\/p>\n<p>The denominator is <strong>selected measurement pairs, not all patients or all pulse oximeters<\/strong>. The research was retrospective, included repeated observations and used self-identified race without directly measuring skin pigmentation. It did not test simulators or Yagi and supplies no individual correction formula.<\/p>\n<p>The useful lesson is the difference between confirming a bench response and establishing clinical agreement. A monitor can respond appropriately to a simulated signal without that test explaining every difference observed in humans. The technical consequence is <strong>preserving the conclusion&#8217;s scope<\/strong>, rather than broadly certifying \u201caccuracy in patients\u201d.<\/p>\n<h2 id=\"how-do-regulatory-references-separate-these-evaluations\">How do regulatory references separate these evaluations?<\/h2>\n<p>The <a href=\"https:\/\/www.fda.gov\/regulatory-information\/search-fda-guidance-documents\/pulse-oximeters-premarket-notification-submissions-510ks-guidance-industry-and-food-and-drug\">FDA&#8217;s final 2013 guidance for 510(k) submissions<\/a> treats the system as monitor, sensor and cable. It describes functional testing in particular circumstances and accuracy assessment against an arterial co-oximetry reference; system changes require appropriate justification.<\/p>\n<p>This supports the distinction between evidence types. <strong>The guidance addresses US premarket evaluation<\/strong>, not a universal maintenance procedure. Its historical recommendations should not be copied as though all were current requirements in every country.<\/p>\n<div class=\"ark-table-scroll\" tabindex=\"0\"><table><thead><tr><th scope=\"col\">Reference<\/th><th scope=\"col\">What to check<\/th><th scope=\"col\">How to avoid overinterpretation<\/th><\/tr><\/thead><tbody><tr><th scope=\"row\"><a href=\"https:\/\/www.iso.org\/standard\/84595.html\">ISO 80601-2-61:2026<\/a>, third edition<\/th><td>Basic safety and essential performance of pulse oximeter equipment, including monitor, probe and extension<\/td><td>Consult full requirements and the edition applicable to the device and jurisdiction<\/td><\/tr><tr><th scope=\"row\">FDA final 2013 guidance<\/th><td>Evidence types and system configurations<\/td><td>Distinguish premarket evaluation from service routines<\/td><\/tr><tr><th scope=\"row\"><a href=\"https:\/\/www.fda.gov\/medical-devices\/products-and-medical-procedures\/pulse-oximeters\">Current FDA pulse oximeter page<\/a><\/th><td>Accuracy and pigmentation concerns; January 2025 proposal<\/td><td>At the October 2026 check, the proposal remained labelled draft<\/td><\/tr><tr><th scope=\"row\">Monitor, sensor and simulator manuals<\/th><td>Curves, accessories, conditions, features and limitations<\/td><td>Confirm compatibility before interpreting a difference<\/td><\/tr><\/tbody><\/table><\/div>\n<p>The ISO catalogue confirms scope and edition; it does not provide every criterion from the full standard. None of these references turns a maintenance test into clinical validation conducted by a service provider.<\/p>\n<h2 id=\"before-condemning-the-oximeter-check-the-complete-configuration\">Before condemning the oximeter, check the complete configuration<\/h2>\n<p>A bench discrepancy may relate to the monitor, sensor, cable or selected curve. Changing several items simultaneously and repeating until it \u201cpasses\u201d destroys the ability to investigate. A useful sequence identifies the configuration, records the result and documents each controlled change permitted by the procedure.<\/p>\n<div class=\"ark-table-scroll\" tabindex=\"0\"><table><thead><tr><th scope=\"col\">Item to preserve<\/th><th scope=\"col\">Example information<\/th><th scope=\"col\">Decision it makes reviewable<\/th><\/tr><\/thead><tbody><tr><th scope=\"row\">Monitor<\/th><td>Model, serial number and version<\/td><td>Which system was assessed<\/td><\/tr><tr><th scope=\"row\">Sensor and cable<\/th><td>Model, identification and condition<\/td><td>Whether the assessed accessory returned to use<\/td><\/tr><tr><th scope=\"row\">Simulator<\/th><td>Model, reference and selected curve<\/td><td>Whether the configuration was compatible<\/td><\/tr><tr><th scope=\"row\">Points and signals<\/th><td>Applied parameters and observed responses<\/td><td>Which conditions support the conclusion<\/td><\/tr><tr><th scope=\"row\">Criterion and method<\/th><td>Procedure, version and limits<\/td><td>Why a result was accepted or investigated<\/td><\/tr><tr><th scope=\"row\">Intervention and retest<\/th><td>What changed and the subsequent result<\/td><td>Whether the observed effect follows the intervention<\/td><\/tr><\/tbody><\/table><\/div>\n<p>This prevents a familiar situation: a report describes the monitor, while a different sensor returns to the department. <strong>Evidence belongs to the configuration actually tested.<\/strong> Accessory traceability is part of a useful service.<\/p>\n<h2 id=\"how-does-yagi-support-test-documentation\">How does Yagi support test documentation?<\/h2>\n<p>Once the system and criteria are defined, <a href=\"https:\/\/arkmeds.com\/pt-br\/yagi-precisao-que-potencializa-seus-testes-de-oximetria\/\">Yagi, Arkmeds&#8217; pulse oximetry simulator<\/a>, provides SpO\u2082 and pulse-rate parameters and manufacturer-described curves. Compatibility must be confirmed for the monitor and sensor being used.<\/p>\n<figure class=\"ark-product-photo\"><div style=\"max-width:420px;width:100%;aspect-ratio:819\/380;overflow:hidden\"><img decoding=\"async\" src=\"https:\/\/arkmeds.com\/wp-content\/uploads\/2026\/05\/Fotos-produtos-1-819x1024.png\" alt=\"Official photograph of Arkmeds Yagi pulse oximetry simulator\" loading=\"lazy\" style=\"width:100%;height:100%;object-fit:cover;object-position:center\"><\/div><figcaption>Official Yagi photograph. It identifies the product; it does not depict clinical validation or the equipment used in the cited study.<\/figcaption><\/figure>\n<p>Bluetooth\/Wi-Fi connectivity and Mark\/Mark II app integration support the path from testing to digital reporting, with signature features described by Arkmeds. The benefit is organizing <strong>configuration, results and delivery to the customer<\/strong>. This does not correct measurement bias in patients or automatically grant laboratory accreditation.<\/p>\n<div class=\"ark-product-cta\"><h3>Document pulse oximetry tests with Yagi<\/h3><p>Review parameters, curves, connectivity and reporting features. Confirm the compatible configuration for your system.<\/p><a href=\"https:\/\/arkmeds.com\/pt-br\/yagi-precisao-que-potencializa-seus-testes-de-oximetria\/\">Explore Yagi \u2014 page in Portuguese<\/a><\/div>\n<h2 id=\"a-report-conclusion-that-respects-the-evidence\">A report conclusion that respects the evidence<\/h2>\n<p>In an <strong>editorial example<\/strong>, compare these formulations:<\/p>\n<div class=\"ark-table-scroll\" tabindex=\"0\"><table><thead><tr><th scope=\"col\">Formulation<\/th><th scope=\"col\">Problem or contribution<\/th><\/tr><\/thead><tbody><tr><th scope=\"row\">\u201cPulse oximeter accuracy guaranteed in every patient\u201d<\/th><td>Makes a clinical promise the test did not demonstrate<\/td><\/tr><tr><th scope=\"row\">\u201cMonitor X, sensor Y and cable Z assessed at the described points and curve; responses compared with the identified procedure&#8217;s criteria\u201d<\/th><td>Defines configuration, parameters and basis of assessment<\/td><\/tr><\/tbody><\/table><\/div>\n<p>Add the actual service results and judgment. Do not use the example to approve a device without measurement. The structure helps the customer understand precisely what was verified and maintain the connection between accessories and report.<\/p>\n<h2 id=\"additional-questions\">Additional questions<\/h2>\n<h3>Does changing the sensor automatically invalidate the entire history?<\/h3>\n<p>The previous history still describes the old configuration. The need for new tests depends on the change, manufacturer and applicable procedure. The essential point is not presenting evidence from the previous system as though it were produced with the new one.<\/p>\n<h3>Should clinical engineering reproduce a human desaturation study?<\/h3>\n<p>That is not a routine extension of maintenance. Human studies require their own scientific design, ethics and controls. Technical service should consult relevant clinical evidence and perform the tests authorized for the equipment.<\/p>\n<h3>Does an unexpected patient reading confirm a defect?<\/h3>\n<p>Not by itself. The FDA advises considering limitations and context alongside the reading. Clinical assessment belongs to the care team; technical investigation can examine integrity, accessories, functionality and history. No table in this article should be used as a SpO\u2082 correction or an individual clinical decision rule.<\/p><h2 id=\"references\">Sources and further reading<\/h2><ol class=\"ark-sources\"><li><a href=\"https:\/\/doi.org\/10.1136\/bmj-2025-085535\">Martin et al. (2026), BMJ \u2014 EXAKT: skin tone and fingertip pulse oximeter accuracy<\/a><\/li><li><a href=\"https:\/\/doi.org\/10.1056\/NEJMc2029240\">Sjoding et al. (2020) \u2014 Racial Bias in Pulse Oximetry Measurement<\/a><\/li><li><a href=\"https:\/\/www.fda.gov\/medical-devices\/products-and-medical-procedures\/pulse-oximeters\">FDA \u2014 Pulse Oximeters<\/a><\/li><li><a href=\"https:\/\/www.fda.gov\/regulatory-information\/search-fda-guidance-documents\/pulse-oximeters-premarket-notification-submissions-510ks-guidance-industry-and-food-and-drug\">FDA (2013) \u2014 Pulse Oximeters, Premarket Notification Submissions [510(k)s]<\/a><\/li><li><a href=\"https:\/\/www.iso.org\/standard\/84595.html\">ISO 80601-2-61:2026 \u2014 Pulse oximeter equipment<\/a><\/li><li><a href=\"https:\/\/arkmeds.com\/pt-br\/yagi-precisao-que-potencializa-seus-testes-de-oximetria\/\">Arkmeds \u2014 Yagi pulse oximetry simulator<\/a><\/li><\/ol><p class=\"ark-credit\">Source review: 13 October 2026. Published results, descriptive calculations and synthetic examples are identified separately. Graph: published Sjoding proportions and 95% confidence intervals; no recalculated intervals. These are not Arkmeds customer results.<\/p><\/article>\n","protected":false},"excerpt":{"rendered":"<p>EXAKT study data from 24 English ICUs: measurement bias, false negatives and what a simulator test can establish about pulse oximeter performance.<\/p>\n","protected":false},"author":1,"featured_media":18400,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":true,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_post_was_ever_published":false},"categories":[63],"tags":[],"class_list":["post-18425","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-clinical-engineering"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Does a simulator test prove pulse oximeter accuracy? | Arkmeds<\/title>\n<meta name=\"description\" content=\"EXAKT study data from 24 English ICUs: measurement bias, false negatives and what a simulator test can establish about pulse oximeter performance.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/arkmeds.com\/en\/blog\/pulse-oximeter-simulator-clinical-accuracy\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Does a simulator test prove pulse oximeter accuracy? | Arkmeds\" \/>\n<meta property=\"og:description\" content=\"EXAKT study data from 24 English ICUs: measurement bias, false negatives and what a simulator test can establish about pulse oximeter performance.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/arkmeds.com\/en\/blog\/pulse-oximeter-simulator-clinical-accuracy\/\" \/>\n<meta property=\"og:site_name\" content=\"Arkmeds\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/somosarkmeds\" \/>\n<meta property=\"article:published_time\" content=\"2026-10-13T15:30:33+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-10-13T15:30:34+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/arkmeds.com\/wp-content\/uploads\/2026\/10\/pulse-oximeter-testing-cover.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1672\" \/>\n\t<meta property=\"og:image:height\" content=\"941\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Arkmeds Solu\u00e7\u00f5es\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Arkmeds Solu\u00e7\u00f5es\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"13 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/arkmeds.com\\\/en\\\/blog\\\/pulse-oximeter-simulator-clinical-accuracy\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/arkmeds.com\\\/en\\\/blog\\\/pulse-oximeter-simulator-clinical-accuracy\\\/\"},\"author\":{\"name\":\"Arkmeds Solu\u00e7\u00f5es\",\"@id\":\"https:\\\/\\\/arkmeds.com\\\/pt-br\\\/#\\\/schema\\\/person\\\/421c00502dbc1f16afc5b5690209d50e\"},\"headline\":\"Does a simulator test prove pulse oximeter accuracy? 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