(159 days)
QardioArm, model A100 is a fully automatic, non-invasive, wireless blood pressure monitor. QardioArm, model A100 is a blood pressure measurement system intended to measure the diastolic and systolic blood pressures and pulse rate of an adult individual. QardioArm, model A100 utilizes an inflatable cuff that is wrapped around the upper arm.
This device is not intended to be a diagnostic device. Contact your physician if hypertensive values are indicated. The cuff circumference is limited to 22cm-37cm (8.7in -14.6in)
QardioArm, model A100 measures both systolic and diastolic blood pressure and heart pulse rate via a standard oscillometric method. The oscillometric method senses the vibrating signal via the closed air pipe system and utilizes a microcomputer to automatically sense the characteristics of the pulse signal. Unlike with the traditional measuring method, based on the Korotkov sound, with the oscillometric method the use of a stethoscope is not required. Through simple calculations, this method provides accurate blood pressure readings: the systolic pressure is defined as the blood pressure when the cuff pressure oscillating amplitude begins to increase, while the diastolic blood pressure is defined as the pressure when the cuff pressure oscillating amplitude stops decreasing.
The device includes a plastic enclosure and an integrated wraparound cuff, and it requires an external device (e.g. a smartphone) to display results and perform user interaction.
This document describes the QardioArm, model A100, a non-invasive blood pressure monitoring system. It references regulatory standards, predicate devices, and performance claims but does not contain a detailed study proving the device meets specific acceptance criteria in the format requested. The document is a 510(k) summary, which focuses on demonstrating substantial equivalence to already cleared devices rather than providing a standalone clinical study report.
Thus, the following information is not present in the provided text:
- A table of acceptance criteria and the reported device performance with specific metrics like sensitivity, specificity, accuracy for a given disease or condition. The document primarily reports pressure and pulse accuracy as engineering specifications.
- Sample size used for a test set, data provenance, number of experts for ground truth, adjudication method, or details of a multi-reader multi-case study.
- Details of a standalone performance study as would be conducted if the device were completely novel.
- The type of ground truth used (expert consensus, pathology, outcomes data, etc.) for any clinical testing beyond the general statement of applying clinical test standards.
- Sample size for the training set or how ground truth was established for a training set (as this device is not an AI/ML device in the context of the question).
However, based on the provided text, here is an extraction of relevant information, focusing on the available performance specifications and the clinical testing mentioned:
1. A table of acceptance criteria and the reported device performance
The document mentions meeting specific accuracy criteria for blood pressure and pulse measurements. While not explicitly stated as "acceptance criteria" for a study, these are performance specifications that the device is stated to achieve and would likely be part of the product's design and validation requirements.
Performance Metric | Acceptance Criteria (as reported specification) | Reported Device Performance |
---|---|---|
Pressure Accuracy | ±3mmHg or ±2% of readout value | ±3mmHg or ±2% of readout value |
Pulse Accuracy | ±5% of reading value | ±5% of reading value |
2. Sample size used for the test set and the data provenance (e.g. country of origin of the data, retrospective or prospective)
The document states under "3. PERFORMANCE & CLINICAL TEST" that the device was tested against "ANSI/AAMI ISO 81060-2:2009" and "EN 1060-4:2004". These are international standards for non-invasive sphygmomanometers. ISO 81060-2:2009 specifies requirements for the clinical investigation of non-invasive blood pressure measuring equipment. These standards typically define the population (e.g., age, sex, blood pressure ranges) and the number of subjects required for clinical validation (e.g., at least 85 subjects with specific distributions). However, the specific sample size, data provenance, or whether the study was retrospective or prospective are not detailed in this summary.
3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts (e.g. radiologist with 10 years of experience)
This information is not provided in the summary. For blood pressure monitors, "ground truth" (or reference measurements) would typically be established using a auscultatory method by trained observers following a specific protocol, often with double or triple readings. However, details of observers' qualifications or number are not present.
4. Adjudication method (e.g. 2+1, 3+1, none) for the test set
This information is not provided in the summary. For clinical validation of blood pressure devices against a reference method, specific protocols for averaging or adjudicating reference readings are standard (e.g., two observers taking simultaneous readings, with a third if there is a significant discrepancy). However, the summary does not detail the methods used.
5. If a multi reader multi case (MRMC) comparative effectiveness study was done, If so, what was the effect size of how much human readers improve with AI vs without AI assistance
This is not applicable to the QardioArm device as described. The QardioArm is a blood pressure monitor, not an AI-assisted diagnostic imaging or health analytics device that would typically undergo an MRMC study comparing human reader performance with and without AI assistance. The document does not suggest any AI components for interpretation or assistance.
6. If a standalone (i.e. algorithm only without human-in-the loop performance) was done
This is not applicable in the context of "algorithm only" as typically applied to AI/ML devices. The device's performance is inherently "standalone" in the sense that it measures blood pressure and pulse rate automatically using an oscillometric method without human intervention in the measurement process itself, though it requires an external device for display and user interaction. The "Performance & Clinical Test" section implies validation of this automated measurement process.
7. The type of ground truth used (expert consensus, pathology, outcomes data, etc)
For a blood pressure monitor, the "ground truth" would almost certainly be simultaneous or sequential auscultatory blood pressure measurements taken by trained observers using a calibrated sphygmomanometer, following a standard protocol (e.g., as defined by ISO 81060-2). The document implicitly references this by stating conformity to ISO 81060-2.
8. The sample size for the training set
This information is not provided. The concept of a separate "training set" for an algorithm is typically associated with AI/Machine Learning models. The QardioArm uses a fundamental oscillometric method, which is a well-established algorithm, not typically "trained" in the modern AI sense. Its development would involve engineering design and calibration, followed by validation.
9. How the ground truth for the training set was established
As there is no mention of a training set in the AI/ML context, this information is not applicable to the provided summary.
§ 870.1130 Noninvasive blood pressure measurement system.
(a)
Identification. A noninvasive blood pressure measurement system is a device that provides a signal from which systolic, diastolic, mean, or any combination of the three pressures can be derived through the use of tranducers placed on the surface of the body.(b)
Classification. Class II (performance standards).