The limited information provided was reviewed by a philips clinical specialist and a philips medical safety manager noted below: the strips provided show some beats labeled ¿a.¿ if the signal quality is not good, the algorithm will assign the beat label ¿a¿ for artifact.Good skin preparation is crucial to successful monitoring.A clean signal is integral to accurate arrhythmia monitoring.A noisy signal makes it difficult to detect and classify beats accurately, thus affecting event detection and alarm generation.(star app note page 2).The following are some possible causes of noisy ecg signals: poor skin preparation; dried electrode gel; detached electrodes; broken lead wires; muscle artifact caused by shivering, movement, or tremors; baseline wander caused by excessive chest movement or the offset differences between two brands of electrodes; respiration artifact caused by thoracic or abdominal movement of both spontaneous and ventilated breathing patterns; and interference from equipment.If 20 of the last 30 seconds are classified as either noisy or questionable (displayed by delayed beat annotations as predominantly ¿a¿ or ¿?¿), a cannot analyze ecg inop/technical alarm is generated.When the algorithm cannot reliably analyze the ecg data, per the ifu, the system is designed to provide/display a "cannot analyze ecg inop".The intellivue mx400-800 ifu says to check the ecg signal quality of the selected primary and secondary leads.If necessary, improve lead position or reduce patient motion.Based on the review of the audit log, the system did not generate an asystole alarm.The information provided states the patient was having muscular convulsions with the arrest.This is most likely resulted in the star algorithm classifying some beats as artifact (identified as beats labeled ¿a¿).Based on the available information, we cannot confirm the system displayed the ¿cannot analyze ecg inop¿, but when the algorithm cannot reliably analyze the ecg data, per the ifu, a "cannot analyze ecg inop¿ is displayed.The information provided states the patient was having muscular convulsions with the arrest.This is most likely resulted in the star algorithm classifying some beats as artifact (identified as beats labeled ¿a¿).
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