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510(k) Data Aggregation
(97 days)
POWERHEART AECD
The Powerheart AECD is intended to acquire the electrocardiograph rhythm for the detection of, and to provide treatment for, ventricular tachyarrhythmias of in-hospital patients who are at risk of Sudden Cardiac Arrest.
The Powerheart monitors a patient's cardiac electrical activity and detects and treats ventricular tachyarrhythmias. The patient is connected to the device by a patient cable which is attached to both a set of ECG electrodes and a set of defibrillation electrodes. The defibrillation electrodes can be positioned on the patient sternum- apex or anterior-posteriorly. The operator can program the device during set up to use either the ECG electrodes or the defibrillator electrodes to sense ECG. The Powerheart uses a combination of rate and, if programmed by the physician, morphology to determine the presence of shockable arrhythmias. When a shockable arrhythmia is detected, the system delivers cardioversion and/or defibrillation energy through defibrillator electrodes to restore normal cardiac rhythm. Should the arrhythmia continue, the Powerheart will deliver additional electrical countershocks after each subsequent evaluation and programmed delay. Depending upon the programmed parameters as prescribed by the physician, the Powerheart may deliver a maximum of nine pulse sequences. In the event that nine pulse sequences have been delivered, the Powerheart will not automatically deliver any further therapy until: 1) a new shockable rhythm is detected after 60 consecutive seconds of non-shockable rhythm is presented, or 2) the device is reset manually. The energy levels for each individual countershock are also programmed into the device per the physician's prescription.
Here's a breakdown of the acceptance criteria and study information based on the provided text:
1. Table of Acceptance Criteria and Reported Device Performance
The provided document does not explicitly state specific pass/fail acceptance criteria values (e.g., "sensitivity must be > X%", "specificity must be > Y%"). Instead, it confirms that the device was deemed "as safe based on the non-chilical performance tosting, and the predicate device." This suggests a comparative approach where the performance of the new device was evaluated against the established performance of the predicate device (Powerheart® AECD® cleared under K970741).
The study lists a series of non-clinical tests performed, implying that successful completion of these tests serves as the "acceptance criteria" for demonstrating safety and effectiveness comparable to the predicate.
Acceptance Criteria Category (Implied) | Reported Device Performance |
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System Validation | Concluded as safe and as effective as the predicate device. |
Observation of Requirements Implementation | Concluded as safe and as effective as the predicate device. |
Analysis Tests | Concluded as safe and as effective as the predicate device. |
Battery System Tests | Concluded as safe and as effective as the predicate device. |
Defibrillation Related Performance | Concluded as safe and as effective as the predicate device. |
Alarm System Tests | Concluded as safe and as effective as the predicate device. |
Environmental Testing | Concluded as safe and as effective as the predicate device. |
Electrical Safety Testing | Concluded as safe and as effective as the predicate device. |
Functional Safety Testing | Concluded as safe and as effective as the predicate device. |
Electromagnetic Compatibility (EMC) Testing | Concluded as safe and as effective as the predicate device. |
ECG Channel/Defibrillator Pad ID | Concluded as safe and as effective as the predicate device. |
Quality and Reliability | Concluded as safe and as effective as the predicate device. |
Human Factors | Concluded as safe and as effective as the predicate device. |
System Software Validation and Verification | Concluded as safe and as effective as the predicate device. |
Arrhythmia Detection Software Verification and Validation | Concluded as safe and as effective as the predicate device. |
2. Sample Size Used for the Test Set and Data Provenance
The document does not explicitly state the sample size for any test set or the data provenance (e.g., country of origin, retrospective/prospective). It only lists categories of non-clinical tests.
3. Number of Experts Used to Establish Ground Truth for the Test Set and Their Qualifications
The document does not provide information on the number of experts used or their qualifications for establishing ground truth for any test set. Given the non-clinical nature of the listed tests, it's possible that internal engineering and validation teams were involved rather than external clinical experts for the direct evaluation of the device's
arrhythmia detection software.
4. Adjudication Method for the Test Set
The document does not specify any adjudication method (e.g., 2+1, 3+1).
5. Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study
The document does not mention a multi-reader multi-case (MRMC) comparative effectiveness study. The focus is on the device itself and its comparison to a predicate device, not on human reader performance with or without AI assistance.
6. Standalone (Algorithm Only Without Human-in-the-Loop) Performance
Yes, a standalone performance evaluation of the "Arrhythmia Detection Software" was performed, as indicated by "Arrhythmia Detection Software Verification and Validation" under non-clinical tests. The document implies that the software's performance (specifically its detection capabilities) was deemed equivalent to the predicate device's software.
7. Type of Ground Truth Used
The document does not explicitly state the type of ground truth used. For arrhythmia detection software validation, it would typically involve a reference standard derived from expert-annotated ECG recordings, often from established arrhythmia databases.
8. Sample Size for the Training Set
The document does not provide information on the sample size for the training set.
9. How the Ground Truth for the Training Set Was Established
The document does not provide information on how the ground truth for the training set was established.
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(230 days)
POWERHEART AECD
The Powerheart® Automatic External Cardioverter Defibrillator (AECD)® system is intended to acquire the electrocardiograph rhythm for the detection of, and to provide treatment for, ventricular tacharrhythmias of in-hospital patients who are at risk of Sudden Cardiac Arrest.
The Powerheart Automatic External Cardioverter Defibrillator monitors a patient's cardiac electrical activity and treats ventricular tacharrhythmias. The Powerheart senses the ECG signal using one set of electrodes, and delivers cardioversion and/or defibrillation energy through another set of electrodes. The cardioversion/defibrillation electrodes are positioned on the patient either transchest or anterior-posteriorly . The Powerheart uses a combination of rate and (if programmed by the physician) morphology to determine the presence of shockable arrhythmias.
When a shockable arrhythmia is detected, the system selects the appropriate (i.e., as pre-set by the patient's physician) electrical countershock for delivery attempt restoring normal cardiac rhythm. Should the arrhythmia continue, the Powerheart will proceed with subsequent delivery of energy (as pre-set by the patient's physician) after each additional evaluation and charging period. Depending upon the physician programmed parameters, the Powerheart may deliver a maximum of eight pulse sequences. Then, the Powerheart will deliver no further therapy automatically until 60 seconds of consecutive non-shockable rhythm is presented or the device is reset manually.
Here's an analysis of the provided text regarding the acceptance criteria and study for the Cardiac Science Powerheart® Automatic External Cardioverter Defibrillator (AECD®):
Acceptance Criteria and Device Performance:
The provided 510(k) summary does not explicitly state quantitative acceptance criteria or a detailed table of reported device performance in terms of specific metrics like sensitivity, specificity, or positive/negative predictive values for arrhythmia detection or treatment success rates. Instead, it refers to conformance with applicable voluntary standards and that the device "performs according to its specifications."
The closest the document comes to defining "acceptance criteria" for performance is:
- "The Powerheart AECD was mechanically and functionally tested to demonstrate conformance with applicable section of the ANSI/AAMI voluntary standard DF39-1993 for Automatic External Defibrillators and Remote Control Defibrillators, the ANSI/AAMI Standard ES1-1993, Safe Current Limits for Electromedical Apparatus, and UL544."
- "The testing demonstrated that the device performs according to its specifications."
- "Data from a clinical investigation of the Powerheart AECD demonstrated that the device is able to safely and effectively treat ventricular tacharrhythmias according to the device specifications."
Since specific numerical acceptance criteria (e.g., "sensitivity must be >XX%") are not provided, I cannot create a table with reported device performance against such criteria. The "reported performance" is broad conformance and ability to safely and effectively treat.
Study Details:
Given the lack of specific detail in the provided text, many fields below will be marked as "Not Provided."
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1. A table of acceptance criteria and the reported device performance
Acceptance Criteria (Stated or Implied) Reported Device Performance Conformance with ANSI/AAMI DF39-1993 (AEDs) Device performs according to its specifications. Conformance with ANSI/AAMI ES1-1993 (Safe Current Limits) Device performs according to its specifications. Conformance with UL544 Device performs according to its specifications. Software performs according to specifications (per FDA Reviewer Guidance for CCD) Software performs according to its specifications. Able to safely and effectively treat ventricular tachyarrhythmias (clinical investigation) Device is able to safely and effectively treat ventricular tachyarrhythmias according to device specifications. -
2. Sample size used for the test set and the data provenance (e.g., country of origin of the data, retrospective or prospective)
- Sample Size (Test Set): Not Provided. The document mentions "Data from a clinical investigation" but gives no details on the number of patients or cases.
- Data Provenance:
- Country of Origin: Not Provided.
- Retrospective/Prospective: Not Provided. It's described as a "clinical investigation," which typically implies prospective data collection, but this is not explicitly stated.
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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)
- Not Provided. The document mentions "clinical investigation" but offers no details on ground truth establishment methods or expert involvement.
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4. Adjudication method (e.g., 2+1, 3+1, none) for the test set
- Not Provided.
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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
- Not Applicable/Not Provided. This device is an Automatic External Cardioverter Defibrillator (AECD), meaning it's primarily an automated device for arrhythmia detection and treatment, not an AI-assisted diagnostic tool for human readers in the typical MRMC study context. The "clinical investigation" would be assessing the device's direct performance, not how it improves human interpretation.
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6. If a standalone (i.e., algorithm only without human-in-the loop performance) was done
- Yes, implicitly. The device is described as "Automatic External Cardioverter Defibrillator," which functions in a standalone manner to detect and treat arrhythmias. The "clinical investigation" assessed the device's ability to "safely and effectively treat ventricular tacharrhythmias," implying standalone performance evaluation.
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7. The type of ground truth used (expert consensus, pathology, outcomes data, etc.)
- Not Explicitly Provided. For a defibrillator, the "ground truth" for successful treatment of ventricular tachyarrhythmias would likely be rhythm conversion to a non-shockable rhythm, as assessed by ECG monitoring and patient status. However, the exact methods or criteria are not detailed in the summary. It would fall under "outcomes data" related to rhythm status.
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8. The sample size for the training set
- Not Applicable/Not Provided. The term "training set" is typically used for machine learning models. While the device uses "a combination of rate and (if programmed by the physician) morphology to determine the presence of shockable arrhythmias," it's not described as a deep learning or AI model that would require a distinct "training set" in the modern sense. It likely uses rule-based algorithms or traditional signal processing. The "software" was developed and tested to its specifications, but no mention of a traditional machine learning training set.
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9. How the ground truth for the training set was established
- Not Applicable/Not Provided (see answer to #8).
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