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510(k) Data Aggregation
(447 days)
The CoVa Monitoring System 2 is intended for adult patients under the direction of a licensed medical professional or by clinical personnel trained in its proper use. It is intended to record, store, and transmit the following physiological data: i) heart rate including heart rate variability; ii) respiration rate; iii) thoracic impedance; in) estimated stroke volume; v) estimated cardiac output; and vi) posture. It displays these physiological data, along with ECG and impedance waveforms, to the licensed medical professionals and/or clinical personnel. The information should be integrated into the context of all clinical data to make determinations of patient status.
The CoVa Monitoring System 2 is indicated for patients with fluid-management disorders managed by regular use of diuretics, and/or suffering from a disease or medical condition characterized by an increase in fluid, such as kidney failure, heart failure, and/or edema caused by a chronic disease (e.g. heart failure) normally treated with a diuretic.
The following are contraindications for the CoVa Monitoring System 2:
· The System is not defibrillator-proof. Thus its Sensor should be removed from a patient before using an external defibrillator.
· The System includes magnetically active materials, and thus should not be used by patients undergoing a procedure involving magnetic resonance imaging (MRI).
· The System should not be used by patients diagnosed with severe cardiac arrhythmias.
· The System should not be used by critically ill patients.
toSense's CoVa TM 2 features a body-worn Sensor, Gateway, and Web-based System. The Sensor has the same mechanical form factor and functionally equivalent electronic systems as the CoVa TM 1 Sensor. Both Sensors perform measurements by non-invasively sensing and processing single-lead electocardiogram (ECG) and thoracic bioimpedance (TBI) waveforms. The Sensor in CoVa TM 2, like that in CoVa TM 1, uses these two waveforms to measure heart rate (HR), heart rate variability (HRV), respiration rate (RR), and thoracic impedance (TI). The specifications for these measurements, calculated using the rank-regression method, are included in the 510(k) Summary for K142087. Embedded software within the CoVa TM 2 Sensor has been modified to also estimate stroke volume (SV) and cardiac output (CO) from the ECG and TBI waveforms. Additionally, both Sensors measure skin temperature (TEMP) and posture using, respectively, a temperature sensor and accelerometer. The Sensor has a form factor similar to a conventional necklace, with the electronics built into its strands and base. To make a measurement, a pair of customized disposable Electrodes-each featuring two electrode regions-snaps into a magnetic interface on the backside of the base and then attaches to the patient's chest. The Sensor is typically used for measurement periods less than 5 minutes but can also be used for longer periods (e.g. several hours).
Using a Bluetooth™ transceiver, the Sensor wirelessly transmits measurement information from the patient to a Gateway, such as a tablet computer or mobile phone running the Android operating system. These systems receive information from the Sensor, and then forward it to the Web-based System through either a local-area network (e.g., network based on 802.11), or a wide-area cellular network (e.g. AT&T). The Web-based System displays information and can forward it to a thirdparty system through a web-services interface.
The provided text describes the CoVa Monitoring System 2 (CoVa™ 2) and its clinical study to demonstrate substantial equivalence, particularly for Stroke Volume (SV) and Cardiac Output (CO) measurements.
Here's the breakdown of the acceptance criteria and the study that proves the device meets them:
1. Acceptance Criteria and Reported Device Performance
The acceptance criteria for SV and CO measurements were established as demonstrating non-inferiority to a predicate device (CardioDynamics BioZ monitor) when compared against a gold-standard reference device (GE Medical Systems Discovery MR 450 cardiac MRI). Specifically, the agreement between the test device (CoVa™ 2) and the reference device should be as good or better than the agreement between the acceptance-standard device (BioZ monitor) and the reference device.
"Agreement" was determined from the 95% limits of agreement (LOA) and also evaluated using mean squared error (MSE).
Here's a table summarizing the performance compared to the acceptance criteria for the intended-use subgroup:
| Parameter | Metric | Acceptance Criteria (BioZ vs. c-MRI) | CoVa™ 2 vs. c-MRI (Reported Performance) | Comparison (CoVa™ 2 vs. BioZ) |
|---|---|---|---|---|
| Stroke Volume (SV) | Bias | 11.6 mL | 1.6 mL | Better (closer to 0) |
| Standard Deviation | 25.6 mL | 15.1 mL | Better (smaller) | |
| 95% LOA | -38.5 mL, +61.7 mL | -28.1 mL, +31.2 mL | Better (narrower range, closer to 0) | |
| Percentage Error | 74.8% | 44.1% | Better (smaller) | |
| Average MSE | 763.6 mL | 222.4 mL | Better (smaller) | |
| p-value for superiority | N/A | 0.0021 | Superior (p < 0.05) | |
| Cardiac Output (CO) | Bias | 0.6 L/min | 0.3 L/min | Better (closer to 0) |
| Standard Deviation | 1.5 L/min | 1.0 L/min | Better (smaller) | |
| 95% LOA | -2.3 L/min, +3.6 L/min | -1.8 L/min, +2.3 L/min | Better (narrower range, closer to 0) | |
| Percentage Error | 65.0% | 43.4% | Better (smaller) | |
| Average MSE | 2.6 L/min | 1.1 L/min | Better (smaller) | |
| p-value for superiority | N/A | 0.02 | Superior (p < 0.05) |
Conclusion from Table: For both SV and CO measurements, the reported performance of CoVa™ 2 (test device) demonstrated better agreement with the reference device (c-MRI) than the acceptance-standard device (BioZ monitor), thus meeting the non-inferiority, and in fact showing superiority based on MSE analysis.
2. Sample Size Used for the Test Set and Data Provenance
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Sample Size:
- Total volunteer subjects initially recruited: 60
- Subjects excluded (due to severe arrhythmias during measurement): 6
- Final analysis sample size: 54 subjects
- Intended-use sub-group: 26 subjects (15M, 11F) with medical conditions such as fluid-management disorders managed by diuretics, recent cardiac surgery, or chronic diseases (e.g., obstructive pulmonary disease, cardiomyopathy, edema, kidney disease).
- Healthy volunteers: 28 subjects
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Data Provenance: The study was a prospective clinical study conducted on human volunteer subjects. The document does not explicitly state the country of origin, but given the FDA submission and the company location in San Diego, CA, it's highly likely to be U.S.-based data.
3. Number of Experts Used to Establish the Ground Truth for the Test Set and Qualifications of those Experts
The ground truth (reference SV and CO values from c-MRI) was established by analyzing images. The analysis was performed off-site by Precision Image Analysis ('PIA') based in Kirkland, WA. The number and specific qualifications of the experts (e.g., cardiologists, radiologists) at PIA who performed this analysis are not explicitly stated in the provided text. However, c-MRI analysis for cardiac output and stroke volume requires specialized expertise, implying that qualified professionals (e.g., radiologists or cardiologists with MRI expertise) would have performed this.
4. Adjudication Method for the Test Set
The document does not describe an adjudication method for the ground truth (c-MRI analysis). It states the analysis was performed by "Precision Image Analysis ('PIA')". This suggests a single, presumably expert, analysis was used to establish the ground truth for each subject. There is no mention of multiple readers or an adjudication process (e.g., 2+1, 3+1).
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
No, a multi-reader multi-case (MRMC) comparative effectiveness study was not performed. This study focused on the device's accuracy in measuring physiological parameters (SV and CO) itself, by comparing it against a reference and predicate device. It was not designed to measure the improvement of human readers with or without AI assistance, as it is a medical device providing direct measurements, not an AI-assisted diagnostic tool for image interpretation.
6. If a Standalone (i.e. algorithm only without human-in-the loop performance) was done
Yes, a standalone performance study was done for the device's measurements of SV and CO. The clinical study directly compared the CoVa™ 2 System (test device) measurements (which would be algorithm-derived from the sensor data) against the c-MRI reference. The BioZ monitor (acceptance-standard device) also represents standalone performance. The results tabulated in Tables 1, 2, 3, and 4 represent the direct algorithmic performance of the CoVa™ 2 device. The system is designed to record, store, and transmit data, and then display it, suggesting the algorithmic processing of measurements happens internally before human interpretation.
7. The Type of Ground Truth Used
The ground truth used for Stroke Volume (SV) and Cardiac Output (CO) was cardiac MRI (c-MRI), specifically using a GE Medical Systems Discovery MR 450. This is considered a "gold-standard reference device" in the context of cardiovascular physiological measurements.
8. The Sample Size for the Training Set
The document does not provide information on the sample size for the training set for the algorithms within the CoVa Monitoring System 2. The study described (Clinical Study 3 – CoVa™ 2) is explicitly stated as for "evaluat[ing] CoVa™ 2's new measurements of SV and CO" and demonstrating non-inferiority, thus serving as a validation or test set for regulatory submission.
The document mentions that "Embedded software within the CoVa™ 2 Sensor has been modified to also estimate stroke volume (SV) and cardiac output (CO) from the ECG and TBI waveforms" and that "its SV estimation differ slightly from that used in the BioZ monitor, the exact form of which is an unpublished trade secret." This implies that the algorithms were developed and potentially refined using other data, but that training data and its size are not disclosed in this 510(k) summary.
9. How the Ground Truth for the Training Set Was Established
Since the training set information is not provided, the method for establishing its ground truth is also not described in the document.
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