K Number
K110809
Date Cleared
2011-07-05

(104 days)

Product Code
Regulation Number
870.2910
Panel
CV
Reference & Predicate Devices
AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
Intended Use

The Wireless Monitoring System is intended for use by health care professionals for routine surveillance of patient physiological parameters to include, pulse rate, respiratory rate and axillary temperature, in a hospital setting. Data is transmitted wirelessly to a central location. Notifications can be prospectively set to notify healthcare professionals to excursions outside of selected parameters.

The device is not intended to be used on critical care patients and is intended to supplement vital signs monitoring by healthcare professionals, not to replace current standards of care. The device is intended for use on general care patients and on patients who are 18 years of age or older.

Device Description

The proposed device consists of a patient patch with integrated temperature sensor, an electronic bridge and server software. The patch is attached to the patient and connected to existing monitoring leads to capture heart rate, respiration and body temperature. This data is wirelessly transmitted to a bridge. Multiple bridges can be installed in a hospital setting to capture signals in case the patient is moved or becomes ambulatory. Data from the patch is transmitted through a hard-wire connection to the nurses' station for surveillance. The healthcare practitioner can set limits on the patient data which in turn may trigger an alert.

AI/ML Overview

Here's a breakdown of the requested information based on the provided 510(k) summary:

1. Table of Acceptance Criteria and Reported Device Performance

The 510(k) summary primarily focuses on non-clinical performance and equivalence to predicate devices, rather than explicit acceptance criteria with specific thresholds for accuracy or sensitivity/specificity typical of clinical performance studies for diagnostic devices. However, the comparative information table provides implicit acceptance criteria by stating "Same or similar" to the predicate devices for key physiological parameters.

CharacteristicAcceptance Criteria (based on predicate equivalence)Reported Device Performance (New Device)
FCC ApprovalLetter of approvalYes
Frequency Range911.38-918.59 (Mhz). FCC Part 15Same or similar
Type of DeviceNear-patient data collectionDisposable
Heart Rate30 to 200 bpmSame or similar
Axillary Temp89.6° F – 111.2°FSame or similar
Respiratory Rate5 - 60 resp/minSame or similar
HL7 ProtocolCommunicate with HIS using HL7Yes
Interval reportingRange: 2-30 minute increments in 2 minute incrementsRange: 2-30 minute increments in 2 minute increments
Battery powerLow power battery for near patient device3.0 volts
Power for bridgesBridges use AC Main for powerYes
NotificationsSystem has programmable notificationsYes
TelemetryTransmissions between bridge and patch shall use ISM bandsYes
Vital signs dataProvides: (1) heart rate, (2) Respiration rate, (3) Axillary temperatureYes
Operating ParadigmUses: (1) Patient data collection device, (2) bridges, (3) Hospital serversYes
BiocompatibilityPass ASTM 2475-05Passes applicable tests and standards
Basic safetyPass IEC 60601-1Passes applicable tests and standards
EMC CompatibilityPass IEC60601-1-2Passes applicable tests and standards
Collateral SafetyPass IEC 60601-1-1Passes applicable tests and standards
Electrocardiographic equipmentPass IEC 60601-2-27Passes applicable tests and standards
Patient MonitoringPass IEC 60601-2-49Passes applicable tests and standards
Degrees of ProtectionPass IEC 60529 IP 64Passes applicable tests and standards
Human exposure to electromagnetic fieldsPass IEC 62311Passes applicable tests and standards
IT EquipmentPass IEC 60950-1Passes applicable tests and standards
Animal welfarePass ISO 10993-2Passes applicable tests and standards
Interactions with BloodPass ISO 10993-4Passes applicable tests and standards
In Vitro CytotoxicityPass ISO 10993-5Passes applicable tests and standards
Irritation and Skin SensitizationPass ISO 10993-10Passes applicable tests and standards
Systemic ToxicityPass ISO 10993-11Passes applicable tests and standards
Sample PreparationPass ISO 10993-12Passes applicable tests and standards
Leachable SubstancesPass ISO 10993-17Passes applicable tests and standards
Chemical Characterization of MaterialsPass ISO 10993-18Passes applicable tests and standards
Risk ManagementPass ISO 14971Passes applicable tests and standards
UsabilityGood usability (subjective user feedback)"Good usability"; user interest
Wireless FunctionalityOperate as designed and intended (no interference)"Operated as designed and as intended"; no interference with hospital equipment

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

  • Test Set Sample Size:
    • Usability Testing: The summary does not specify the exact number of participants for the usability testing. It mentions "participants" in the context of user opinions.
    • Wireless Testing: The summary does not provide a specific sample size (e.g., number of patients, devices, or test points) for the wireless testing.
  • Data Provenance:
    • Usability Testing: Conducted at "The University of Texas at Arlington."
    • Wireless Testing: Conducted at "Palomar Pomerado Hospital."
    • The studies appear to be prospective as they are described as "testing" of the new device's operation and usability.

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

  • Usability Testing: "Staff opinions were positive with participants showing an interest in using the proposed device." No specific number of experts or their qualifications for establishing a "ground truth" on usability are provided, as usability is often assessed through user feedback rather than expert ground truth.
  • Wireless Testing: "Testing for EMI and other parameters were monitored and recorded." No specific number of experts or their qualifications for interpreting these technical results are provided. The "ground truth" here is the measurement data itself against predefined technical standards.

4. Adjudication Method for the Test Set

  • No formal adjudication method (e.g., 2+1, 3+1) is mentioned for either the usability or wireless performance testing. The reported results are summaries of observations and measurements.

5. If a Multi Reader Multi Case (MRMC) Comparative Effectiveness Study Was Done, and the Effect Size of How Much Human Readers Improve with AI vs without AI Assistance

  • No MRMC study was done. This device is a physiological monitoring system, not an AI-assisted diagnostic imaging device that typically uses human readers. The clinical studies focused on usability and wireless functionality, not on improving human reader performance.

6. If a Standalone (i.e., algorithm only without human-in-the-loop performance) Was Done

  • This device is not an algorithm-only device. It is a hardware system that collects and transmits physiological data for healthcare professionals to monitor. The "standalone" performance in this context would refer to its technical accuracy and reliable data transmission, which were broadly addressed by technical testing and wireless performance checks, not an AI algorithm.

7. The Type of Ground Truth Used

  • Non-Clinical (Technical/Performance) Tests: The ground truth for these tests would be the established performance standards (e.g., IEC, ISO, FCC) against which the device's technical specifications and measurements were compared.
  • Usability Testing: The "ground truth" was subjective user feedback and observation of the system's operation as intended.
  • Wireless Testing: The "ground truth" was direct measurement of wireless transmission parameters and observation of interference, compared against expected operational norms.
  • No pathology or outcomes data was used as ground truth because this device is for surveillance of physiological parameters, not for diagnosis based on pathology or for evaluating clinical outcomes directly tied to a specific diagnostic accuracy.

8. The Sample Size for the Training Set

  • Not applicable. The device described is a hardware and software system for physiological monitoring, not a machine learning or AI model that requires a "training set" in the conventional sense. The development likely involved engineering design, testing, and refinement, but not machine learning training on a dataset.

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

  • Not applicable. As stated above, there is no mention of a "training set" for machine learning algorithms in this 510(k) summary.

§ 870.2910 Radiofrequency physiological signal transmitter and receiver.

(a)
Identification. A radiofrequency physiological signal transmitter and receiver is a device used to condition a physiological signal so that it can be transmitted via radiofrequency from one location to another, e.g., a central monitoring station. The received signal is reconditioned by the device into its original format so that it can be displayed.(b)
Classification. Class II (performance standards).