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510(k) Data Aggregation

    K Number
    K030886
    Date Cleared
    2003-10-07

    (200 days)

    Product Code
    Regulation Number
    868.1400
    Reference & Predicate Devices
    Why did this record match?
    Reference Devices :

    K000794

    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The intended use of the NICO monitor, Model 7300 is to provide:

    • cardiac output monitoring via the method of partial rebreathing in adult patients receiving mechanical ventilation during general anesthesia and in the intensive care unit (ICU).
    • spirometric, and carbon dioxide monitoring in neonatal, pediatric and adult patients during general anesthesia and in the intensive care unit (ICU) and the emergency department (ED). Separate combination CO2/flow sensors are provided for adult, pediatric and neonatal use.
    • continuous, non-invasive monitoring of functional arterial oxygen saturation and pulse rate in neonatal, pediatric and adult patients during both no motion and motion conditions and for patients who are well or poorly perfused during general anesthesia and in the intensive care unit (ICU) and the emergency department (ED).
      The use of the NICO monitor Model 7300 for cardiac output monitoring is contraindicated in patients in which a small rise (3-5 mmHg) in their arterial partial pressure of CO2 level cannot be tolerated.
    Device Description

    The NICO monitor Model 7300 is intended for non-invasive monitoring of the inspired and expired airflow and airway pressure of intensive care unit (ICU), anesthesia and emergency room (ER) patients, as well as capnography and pulse oximetry in all of these clinical settings. As is its predicate device CO2SMO Plus! with NICO, NICO with MARS is designed to use neonatal, pediatric, and adult combined CO2/flow sensors and single patient use or reusable pulse oximetry sensors. It non-invasively calculates cardiac output using established physiological principles by the application and removal of a rebreathed volume in a patient's breathing circuit and the analysis of that response. The NICO with MARS is intended to provide cardiac output monitoring in mechanically ventilated patients in the operating room and intensive care units. It is intended to serve the same purposes as the CO2SMO Plus! with NICO and MARSPO2, Model 2001.

    Oxygen saturation is measured with ratiometric technique using red and infrared absorbance of oxy- and deoxyhemoglobin and pulse rate is measured using the time between successive pulses. The O2 saturation sensors are already legally marketed as accessories to the Model 2001 monitor. As the Model 2001 monitor, the Model 7300 with MARS consists of a dual microprocessor based data acquisition system that measures oxygen saturation data. The firmware for the second microprocessor, a digital signal processor, performs the filtering, pulse rate and saturation calculations of the existing algorithms and additional calculations which analyze the incoming signals and perform noise reduction on that signal when the presence of noise is detected.

    The Model 7300 can be powered by either an internal power supply operating on AC or by a sealed rechargeable lead-acid gel battery. Audible and visual alarms for high/low saturation and pulse rate are available. There is also a serial port that provides user configurable data output capable of communicating with printers and other devices.

    AI/ML Overview

    Here's an analysis of the provided text regarding the NICO, Model 7300, focusing on acceptance criteria and supporting studies.

    Based on the provided 510(k) summary, specific acceptance criteria and detailed study results demonstrating performance against these criteria are not explicitly stated or fully detailed. The document primarily focuses on establishing substantial equivalence to predicate devices and describes the device's technological characteristics and intended use.

    However, it does mention a specific study for pulse oximetry accuracy.


    1. Table of Acceptance Criteria and Reported Device Performance

    Note: The document does not provide specific numerical acceptance criteria. The "Reported Device Performance" is inferred from the description of the study and the claim of meeting specifications.

    Parameter/FunctionAcceptance Criteria (Not explicitly stated, inferred from context)Reported Device Performance
    Pulse Oximetry AccuracyMet currently published accuracy specifications for sensors (implied, not quantified).Controlled hypoxia studies were conducted to establish accuracy and ensure sensors meet their currently published accuracy specifications with the Model 7300. (Specific values not provided)
    Cardiac Output Monitoring(Not stated)Non-invasively calculates cardiac output using established physiological principles. (Accuracy metrics not provided or referenced)
    Spirometry & CO2 Monitoring(Not stated)Functions for monitoring inspired/expired airflow, airway pressure, and capnography. (Accuracy metrics not provided or referenced)

    2. Sample Size Used for the Test Set and Data Provenance

    • Sample Size for Pulse Oximetry Accuracy: The document states "controlled hypoxia studies were conducted." It does not specify the sample size (number of subjects) for these studies.
    • Data Provenance: The studies were evidently conducted by Respironics Novametrix Inc., likely in the USA (where the company is based). The studies were conducted prospectively for the purpose of demonstrating the device's accuracy.

    3. Number of Experts Used to Establish Ground Truth for the Test Set and Qualifications

    • The document does not specify the number or qualifications of experts used to establish ground truth. For pulse oximetry, the ground truth would likely be established using a co-oximeter or arterial blood gas analysis, which are considered gold standards, overseen by clinical professionals.

    4. Adjudication Method for the Test Set

    • The document does not describe any specific adjudication method for the test set.

    5. Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study

    • No, an MRMC comparative effectiveness study was not mentioned or described. This document does not describe studies comparing human readers' performance with and without AI assistance. The device is a monitor, not an AI-assisted diagnostic tool for human interpretation in the sense of image reading.

    6. Standalone (Algorithm Only) Performance Study

    • Yes, a standalone study was performed for the pulse oximetry component. The "controlled hypoxia studies" were designed to establish the accuracy of the Model 7300's pulse oximetry function and its integrated sensors. This implies assessing the algorithm's performance in measuring oxygen saturation against a known reference in a controlled environment. The document also mentions the "firmware for the second microprocessor... performs the filtering, pulse rate and saturation calculations of the existing algorithms and additional calculations which analyze the incoming signals and perform noise reduction." This directly points to evaluating the algorithm's output.

    7. Type of Ground Truth Used

    • For pulse oximetry, the ground truth for the "controlled hypoxia studies" would typically be established using a co-oximeter to measure arterial oxygen saturation (SaO2) from arterial blood samples. This is considered the clinical gold standard for arterial oxygen saturation.

    8. Sample Size for the Training Set

    • The document does not specify a training set sample size. While the pulse oximetry algorithms use "existing algorithms" and mention "additional calculations which analyze the incoming signals and perform noise reduction," there is no mention of a distinct training phase or a specific dataset used for training machine learning models in the context of this 2003 submission. The algorithms are likely based on established physiological principles and signal processing, rather than modern data-driven machine learning with explicit training sets as understood today.

    9. How the Ground Truth for the Training Set Was Established

    • As a training set is not explicitly mentioned in the context of modern machine learning model development, the method of establishing ground truth for a training set is not applicable/not provided in this document. The underlying principles and parameters for the device's algorithms (e.g., ratiometric technique for O2 saturation) are based on fundamental scientific understanding rather than a data-driven training process.
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