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510(k) Data Aggregation

    K Number
    K202228
    Date Cleared
    2021-04-01

    (237 days)

    Product Code
    Regulation Number
    870.1130
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    Omron Model BP7900 Blood Pressure Monitor + EKG

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

    The device is intended to measure blood pressure only, electrocardiogram (ECG) only or blood pressure and ECG simultaneously.

    The device is a digital monitor intended for use in measuring blood pressure and pulse rate in adult population.

    The device is intended to record, store, and transfer single-channel electrocardiogram (ECG) rhythms. The device also displays ECG rhythms and the output of ECG analysis including detecting the presence of atrial fibrillation, bradycardia, tachycardia and normal sinus rhythm, and others. The device is intended for use by healthcare professionals, patients with known or suspected heart conditions, and health-conscious individuals. The device has not been tested and it is not intended for pediatric use.

    Device Description

    The Omron Model BP7900 Blood Pressure Monitor + EKG ("BP7900") is a battery-powered automatic, non-invasive blood pressure (BP) and electrocardiography (ECG) measurement system intended for home use.

    The BP7900 is intended for use in adult patients with arm circumferences between 17cm and 42cm. The device can be used with two different arm cuffs, the HEM-CS24-B and HEM-RML31-B which are adjustable to ranges of 17-22cm and 22-42cm, respectively. Other than the difference in circumference, the two cuffs function in the same manner.

    The device inflates the arm cuff with an integral pump, then deflates the cuff via an electric valve. During inflation, the arm cuff pressure is monitored, and pulse waveform data is extracted. The extracted pulse waveform data is then analyzed by software which determines pulse rate, as well as systolic and diastolic blood pressure. The systolic and diastolic blood pressures are measured using the oscillometric method. The cuff pressure range is 0 to 299mmHg and the pulse rate range is 40 to 180 beats/minute. The results of the BP and pulse rate analysis are displayed on the front of the BP7900 for the user. In order to utilize the device, the user must also pair the BP7900 to a smartphone which employs the "Omron Connect" app. This app is intended to display trend graphs of measured systolic and diastolic blood pressure, and pulse rate. This app makes use of the cleared software of the AliveCor, Inc. KardiaMobile System (K191406) to analyze recorded ECGs and identify abnormal heart rhythms based upon the cleared algorithm parameters. Readings can be stored in the app for archiving and review by the user.

    In addition to the BP measurement capabilities, the BP7900 also incorporates electrodes capable of gathering ECG data from the user. This can be done either concurrently with BP measurement, or as a separate function. To initiate the ECG, the user places a thumb on each of the right and left electrodes on the top face of the BP7900 and places two or more fingers in contact with the electrodes on the right and left side of the BP7900. The thumb electrodes measure at a rate of 300 samples/second as a single-lead ECG between left and right thumbs. The two remaining finger electrodes on the sides of the BP7900 are used for noise reduction purposes. The single-lead ECG data is transmitted via ultrasonic acoustics to the nearby smartphone with the cleared Kardia App (part of the KardiaMobile System, K191406) or Omron Connect App (Omron functional equivalent). The cleared app, which is incorporated from the KardiaMobile (K191406), allows the user to view their ECG and the results of analysis using the AliveCor's KardiaAI platform (K181823) which detects the presence of normal sinus rhythm, atrial fibrillation, bradycardia, tachycardia, and others.

    The operation of the device is intended for home use. Functions and other features that are controlled by the end user include: applying the arm cuff to the arm, powering on/off the system, starting or stopping the blood pressure (BP) and pulse measurement cycle, and replacing the batteries as needed. Unlimited readings can be stored in the app for archive and review by the user.

    AI/ML Overview

    The Omron Model BP7900 Blood Pressure Monitor + EKG received 510(k) clearance based on its substantial equivalence to two predicate devices: the Omron Model BP7900 Blood Pressure Monitor + EKG (K182579) and the AliveCor, Inc. KardiaMobile System (K191406). The primary change in the proposed device is a software update to the onboarding procedure for accessing ECG functionalities, aligning it with the secondary predicate.

    Here's an analysis of the acceptance criteria and supporting studies based on the provided document:

    1. Table of Acceptance Criteria and Reported Device Performance

    The device is considered substantially equivalent, meaning its performance for key functionalities (blood pressure measurement, ECG recording, and ECG analysis) is expected to be as safe and effective as the predicate devices. The document explicitly states: "With respect to technological characteristics, there are no differences between the proposed and primary predicate devices with respect to the key functionalities blood pressure measurement, ECG recording, or ECG analysis."

    The acceptance criteria are implicitly tied to the performance specifications of the predicate devices, particularly the primary predicate (K182579) which the proposed device largely mirrors in hardware and core functionality.

    FeatureAcceptance Criteria (based on predicate K182579)Reported Device Performance (proposed BP7900)
    Blood Pressure Monitoring
    BP measurement methodCuff oscillometric methodCuff oscillometric method
    Pressure measuring range0 to 299mmHg0 to 299mmHg
    Pulse Rate measuring range40 to 180 beats/min40 to 180 beats/min
    Pressure sensorSemiconductor pressure sensorSemiconductor pressure sensor
    Applicable cuff (Arm Circumference)17-22cm (HEM-CS24-B), 22-42cm (HEM-RML31-B)17-22cm (HEM-CS24-B), 22-42cm (HEM-RML31-B)
    Accuracy of pressure indicatorWithin ±3mmHg or 2% of readingWithin ±3mmHg or 2% of reading
    Accuracy of pulse rateWithin 5% of readingWithin 5% of reading
    Inflation MethodAutomatic inflation by electric pumpAutomatic inflation by electric pump
    Deflation MethodAutomatic pressure release valveAutomatic pressure release valve
    DisplayLCD digital display on device and SmartphoneLCD digital display on device and Smartphone display
    Body Movement DetectionYes, for BP measurementYes, for BP measurement
    Communications (BP)BluetoothBluetooth
    Memory Capacity (BP)90 BP readings in internal memory90 BP readings in internal memory
    Microprocessor (BP)Determines BP/pulse rate, controls pump/valve/display, detects switch operations, stores results, manages date/timeDetermines BP/pulse rate, controls pump/valve/display, detects switch operations, stores results, manages date/time
    Rapid Exhaust/Deflation ValveActive electronic control valveActive electronic control valve
    Inflation SourceDC rolling diaphragm pumpDC rolling diaphragm pump
    ControlsSTART/STOP Button, Connection ButtonSTART/STOP Button, Connection Button
    Anatomical site (BP)Upper armUpper arm
    ECG Monitoring
    ECG analysisProvided by KardiaAI platform (K181823)Provided by KardiaAI platform (K181823)
    ECG Detectors (outputs)Normal Sinus Rhythm, Atrial Fibrillation, Bradycardia, Tachycardia, Unclassified, UnreadableNormal Sinus Rhythm, Atrial Fibrillation, Bradycardia, Tachycardia, Unclassified, Unreadable
    ECG recording pulse rate range30 to 300 beats/min30 to 300 beats/min
    Communications (ECG)Ultrasonic Acoustics acquired by phoneUltrasonic Acoustics acquired by phone
    Data Acquisition for ECG: Frequency Response0.67 - 40Hz0.67 - 40Hz
    Data Acquisition for ECG: ECG channelsSingle ChannelSingle Channel
    Data Acquisition for ECG: Resolution16-bit16-bit
    Data Acquisition for ECG: Sample Rate300 samples/second300 samples/second
    Memory Capacity (ECG)Essentially unlimited (due to app transmission)Essentially unlimited (due to real-time transmission to MCP memory)
    User Interface for ECGApple iOS-based or Google Android-based softwareApple iOS-based or Google Android-based software
    Number of ECG LeadsSingle lead, 4 electrodes (2 neutral)Single lead, 4 electrodes (2 neutral)
    Anatomical site (ECG)Left hand fingers to right hand fingersLeft hand fingers to right hand fingers

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

    The document explicitly states: "No clinical testing was conducted in support of this 510(k) Premarket Notification."

    Therefore, there is no information regarding a test set sample size or data provenance (country of origin, retrospective/prospective). The clearance relies on substantial equivalence to predicate devices, supported by nonclinical testing.

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

    Since no clinical testing was conducted for this specific 510(k) submission, there were no experts used to establish ground truth for a new test set. The ECG analysis relies on the cleared AliveCor KardiaAI platform (K181823), which would have had its own validation studies involving experts. However, details of those studies are not part of this document.

    4. Adjudication Method for the Test Set

    Not applicable, as no new clinical test set was created or evaluated for this submission.

    5. If a Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study Was Done

    No MRMC study was conducted or reported in this 510(k) submission for the proposed device. The device's clearance is based on its substantial equivalence to existing devices and the fact that the changes made (primarily software for onboarding) do not raise new questions of safety or effectiveness. The ECG analysis is performed by the previously cleared KardiaAI platform, which likely had its own validation studies, but those are not detailed here for the proposed device itself.

    6. If a Standalone (Algorithm Only Without Human-in-the-Loop Performance) Study Was Done

    The document does not detail any new standalone studies for the algorithms within the proposed device. The ECG analysis functionalities are provided by the "KardiaAI platform (K181823)," which was previously cleared. The blood pressure measurement is hardware-based (oscillometric method) with software analysis, and its performance is considered unchanged from the primary predicate. The nonclinical testing performed focused on verifying the software update related to onboarding procedures.

    7. The Type of Ground Truth Used

    For the current submission, no new ground truth was established as no new clinical studies were conducted. The device's performance is assumed to be equivalent to the predicate devices, which would have been validated against their respective ground truths (e.g., reference blood pressure measurements for the BP monitor, and expert-adjudicated ECGs for the KardiaMobile component).

    8. The Sample Size for the Training Set

    No information is provided regarding a training set for the proposed device, as no new clinical studies were conducted for this submission. The ECG analysis algorithms ("KardiaAI platform") had their own training sets, but details are not included here.

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

    Not applicable to this submission, as no new training set or ground truth establishment relevant to the device's clearance were detailed. The KardiaAI platform's previous clearance (K181823) would contain this information.

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    K Number
    K182579
    Date Cleared
    2019-03-14

    (176 days)

    Product Code
    Regulation Number
    870.1130
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    Omron Model BP7900 Blood Pressure Monitor + EKG

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

    The device is intended to measure blood pressure only, electrocardiogram (ECG) only or blood pressure and ECG simultaneously.

    The device is a digital monitor intended for use in measuring blood pressure and pulse rate in adult population. The device is intended to record, store, and transfer single-channel electrocardiogram (ECG) rhythms. The device also displays ECG rhythms and detects the presence of atrial fibrillation, bradycardia, tachycardia and normal sinus rhythm (when prescribed or used under the care of a physician). The device is intended for use by healthcare professionals, patients with known or suspected heart conditions, and health-conscious individuals. The device has not been tested and it is not intended for pediatric use.

    Device Description

    The Omron Model BP7900 Blood Pressure Monitor + EKG ("BP7900") is a battery-powered automatic, non-invasive blood pressure (BP) and electrocardiography (ECG) measurement system intended for home use.

    The BP7900 is intended for use in adult patients with arm circumferences between 17cm and 42cm. The device can be used with two different arm cuffs, the HEM-CS24-B and HEM-RML31-B which are adjustable to ranges of 17-22cm and 22-42cm. respectively. Other than the difference in circumference, the two cuffs function in the same manner.

    The device inflates the arm cuff with an integral pump, then deflates the cuff via an electric valve. During inflation, the arm cuff pressure is monitored, and pulse waveform data is extracted. The extracted pulse waveform data is then analyzed by software which determines pulse rate, as well as systolic and diastolic blood pressure. The systolic and diastolic blood pressures are measured using the oscillometric method. The cuff pressure range is 0 to 299mmHg and the pulse rate range is 40 to 180 beats/minute. The results of the BP and pulse rate analysis are displayed on the front of the BP7900 for the user. In order to utilize the device, the user must also pair the BP7900 to a smartphone which employs the "Omron connect" app. This app is intended to display trend graphs of measured systolic and diastolic blood pressure, and pulse rate. This app makes use of the cleared AliveCor Heart Monitor algorithm (K142743) to analyze recorded ECGs and identify abnormal heart rhythms based upon the cleared algorithm parameters. Readings can be stored in the app for archiving and review by the user.

    In addition to the BP measurement capabilities, the BP7900 also incorporates electrodes capable of gathering ECG data from the user. This can be done either concurrently with BP measurement, or as a separate function. To initiate the ECG, the user places a thumb on each of the right and left electrodes on the top face of the BP7900 and places two or more fingers in contact with the electrodes on the right and left side of the BP7900. The thumb electrodes measure at a rate of 300 samples/second as a single-lead ECG between left and right thumbs. The two remaining finger electrodes on the sides of the BP7900 are used for noise reduction purposes. The single-lead ECG data is transmitted via ultrasonic acoustics to the nearby smartphone with the cleared AliveCor Heart Monitor or OMRON Connect App. These two applications are effectively the same, with the only difference being branding. The cleared app allows the user to view their ECG and the results of analysis using the AliveCor algorithm (cleared under K142743) which detects the presence of atrial fibrillation, and normal sinus rhythm.

    The proposed BP7900 device utilizes the same ECG analysis algorithm including capabilities to detect the presence of bradycardia and tachycardia as that used in the AliveCor KardiaAI device cleared under K181823. All software V&V testing performed and submitted in this 510(k) utilized this algorithm.

    The operation of the device is intended for home use. Functions and other features that are controlled by the end user include: applying the arm cuff to the arm, powering on/off the system, starting or stopping the blood pressure (BP) and pulse measurement cycle, and replacing the batteries as needed. Unlimited readings can be stored in the app for archiving and review by the user.

    AI/ML Overview

    Here's a breakdown of the acceptance criteria and study information based on the provided text, focusing on the ECG analysis for atrial fibrillation, bradycardia, and tachycardia detection.

    Part 1: Acceptance Criteria and Reported Device Performance

    The acceptance criteria for the Omron Model BP7900 Blood Pressure Monitor + EKG primarily relate to its substantial equivalence to predicate devices for blood pressure measurement and ECG recording and analysis. For the ECG analysis specifically distinguishing atrial fibrillation, bradycardia, tachycardia, and normal sinus rhythm, the device leverages the algorithm from the AliveCor KardiaAI (K181823) and AliveCor Heart Monitor (K142743). Therefore, the device's performance for these ECG detections is implicitly expected to meet the established performance of these cleared devices.

    Since specific numerical acceptance criteria or reported device performance for the ECG detection capabilities (sensitivity, specificity, accuracy) of the BP7900 itself are not explicitly provided in this document, we must infer that the substantial equivalence claim relies on the prior clearance of the AliveCor algorithms. The document states:

    • "The proposed BP7900 device utilizes the same ECG analysis algorithm including capabilities to detect the presence of bradycardia and tachycardia as that used in the AliveCor KardiaAI device cleared under K181823." (Page 5)
    • "The BP7900 employs the algorithm used for the AliveCor Heart Monitor. The BP7900 does not have an "Irregular Heartbeat Detection" feature which Omron BPMs normally have (estimated from measured BP pulse). Instead, it has an irregular pulse detection feature to identify possible AF, tachycardia which are estimated from ECG waveforms, not from blood pressure pulse." (Page 6)
    • "Yes, includes ECG rhythm analysis for detecting the presence of normal sinus rhythm, atrial fibrillation, bradycardia, and tachycardia (when prescribed or used under the care of a physician). Same as Heart Monitor. Bradycardia and Tachycardia detection same as reference device." (Page 10, "Irregular Heart Beat Detection" row)

    Given this, the table below reflects an interpretation based on the provided text, implying that the acceptance for device performance is met by using a previously cleared and validated algorithm.

    Acceptance Criteria (Inferred from Predicate/Reference)Reported Device Performance (Implied by Substantial Equivalence and Algorithm Use)
    ECG rhythm analysis for detecting the presence of atrial fibrillation (consistent with AliveCor Heart Monitor - K142743)Performed by the same cleared AliveCor Heart Monitor algorithm, therefore expected to meet its established performance for AF detection.
    ECG rhythm analysis for detecting the presence of bradycardia (consistent with AliveCor KardiaAI - K181823)Performed by the same cleared AliveCor KardiaAI algorithm, therefore expected to meet its established performance for bradycardia detection.
    ECG rhythm analysis for detecting the presence of tachycardia (consistent with AliveCor KardiaAI - K181823)Performed by the same cleared AliveCor KardiaAI algorithm, therefore expected to meet its established performance for tachycardia detection.
    ECG rhythm analysis for detecting the presence of normal sinus rhythm (consistent with AliveCor Heart Monitor - K142743 and AliveCor KardiaAI - K181823)Performed by the same cleared AliveCor Heart Monitor/KardiaAI algorithms, therefore expected to meet its established performance for normal sinus rhythm detection.
    Software Verification and Validation performed (Page 17)All software V&V testing performed and submitted to demonstrate safety and effectiveness.
    Nonclinical performance testing against predicate devices (Page 17)Conducted to support a determination of substantial equivalence (general statement, specific performance metrics not provided here for ECG).
    Electrical safety, electromagnetic compatibility, and electrostatic discharge requirements met per IEC60601 and 80601 (Page 17)Successfully passed these requirements.
    Biocompatibility of patient-contacting materials met per ISO 10993-1 (Page 17)Successfully passed these requirements.

    Part 2: Sample Size Used for the Test Set and Data Provenance

    The provided document does not specify a sample size for an independent test set for the ECG detection performance of the BP7900 itself. The justification for the ECG detection capabilities (AF, bradycardia, tachycardia, normal sinus rhythm) relies entirely on the fact that the BP7900 utilizes the same algorithm as the previously cleared AliveCor Heart Monitor (K142743) and AliveCor KardiaAI (K181823) devices.

    Therefore, any test set and data provenance information would refer to the studies originally conducted for the AliveCor devices, not a new, independent study for the BP7900's ECG detection performance. This document does not provide details of those original AliveCor studies.

    Part 3: Number of Experts and Qualifications for Ground Truth

    Similar to Part 2, the document does not provide details about the number and qualifications of experts specifically for the BP7900's ECG detection capabilities. This information would have been part of the original AliveCor submissions (K142743 and K181823). The BP7900's clearance for ECG detection is predicated on the re-use of these already cleared algorithms.

    Part 4: Adjudication Method for the Test Set

    As no specific new test set for the BP7900's ECG detection performance is detailed in this document, no adjudication method is described. This information would refer to the original AliveCor studies.

    Part 5: Multi Reader Multi Case (MRMC) Comparative Effectiveness Study

    The document does not mention an MRMC comparative effectiveness study comparing human readers with AI assistance versus without AI assistance specifically for the Omron BP7900. The device's ECG capabilities are based on a standalone AI algorithm (from AliveCor) that performs the detection. Whether the original AliveCor clearances involved such MRMC studies is not detailed here.

    Part 6: Standalone Performance (Algorithm Only without Human-in-the-Loop Performance)

    Yes, a standalone (algorithm only) performance was done, not for the BP7900 as a new, independent study, but through the pre-existing clearance of the AliveCor Heart Monitor (K142743) and AliveCor KardiaAI (K181823) algorithms. The BP7900 integrates these already validated algorithms. The document explicitly states: "The proposed BP7900 device utilizes the same ECG analysis algorithm including capabilities to detect the presence of bradycardia and tachycardia as that used in the AliveCor KardiaAI device cleared under K181823." (Page 5, and Page 18 under "Summary" and "Substantial Equivalence"). This phrasing indicates reliance on the standalone performance of those previously cleared algorithms.

    Part 7: Type of Ground Truth Used

    The document does not explicitly state the type of ground truth used for the original AliveCor algorithms. However, for ECG rhythm analysis, ground truth is typically established by:

    • Expert Consensus: Multiple board-certified cardiologists or electrophysiologists independently reviewing ECG tracings and reaching a consensus diagnosis.
    • Adjudicated Clinical Data: ECGs from patients with confirmed diagnoses based on a combination of clinical information, reference standard tests, and expert review.

    Given the nature of ECG interpretation, expert consensus and/or adjudicated clinical data would be the most probable ground truth methods for the AliveCor algorithms.

    Part 8: Sample Size for the Training Set

    The document does not provide the sample size for the training set used to develop the AliveCor algorithms. This information would be specific to the original AliveCor submissions (K142743 and K181823).

    Part 9: How the Ground Truth for the Training Set Was Established

    The document does not provide details on how the ground truth for the training set of the AliveCor algorithms was established. As mentioned in Part 7, it would typically involve expert review and/or adjudicated clinical data from cardiologists or electrophysiologists.

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