(246 days)
AliveCor QT Service analyses 30 seconds of a previously acquired electrocardiogram (ECG) from AliveCor designed 6-Lead ambulatory ECG devices analyzed as normal sinus rhythm for QT interval measurements.
AliveCor OT Service is intended for use in a professional medical facility, such as a hospital, clinic, or doctor's office by a qualified health care professional, including trained ECG technician.
AliveCor QT Service is indicated for use on adult patients (older than 18 years). The device has not been tested for and is not intended for pediatric use. The service is not intended for use in life supporting, or sustaining systems, or continuous ECG monitors, or cardiac alarm devices, or OTC use only devices.
AliveCor QT Service is a cloud-based Software as a Medical Device (SaMD) that is used to measure the QT and heart-rate corrected QT ("QTc") interval measurements from electrocardiograms (ECG) recorded from adult patients (older than 18 years) using AliveCordesigned 6-Lead ambulatory ECG devices. AliveCor QT Service provides QT and QTc interval measurements only on ECGs analyzed as Normal Sinus Rhythm by KardiaAI (K201985).
AliveCor QT Service is a prescription (Rx) use only device intended for use by qualified healthcare professionals, including trained ECG technicians. Healthcare professionals can access AliveCor OT Service over the internet from patient management and ECG storage Medical Device Data Systems (MDDS), or from other prescription-use only medical data software devices. These devices provide a previously recorded ECG from an AliveCor-designed 6-Lead ambulatory ECG device, such as the KardiaMobile 6L (K210753), in a compatible format using the AliveCor QT Service's REST-based application program interface (API). REST or REpresentational State Transfer is a software methodology that defines rules for creating web services to access resources over Hypertext Transfer Protocol (HTTP). AliveCor QT Service responds to the analysis request with the following measurements:
- QT interval, measured from the first 30 seconds of the ECG
 - Heart-rate corrected QT (QTc) interval based on the Bazett's formula and the Fridericia's ● formula
 
AliveCor QT Service utilizes various internal algorithms including deep neural networks (DNN) to analyze an ECG to compute the QT interval. AliveCor QT Service also includes algorithms to compute the RR-interval, which is used to provide both the Bazett's and Fridericia corrected OTc intervals. These algorithms were trained and validated on datasets with ECGs from patients representative of the device's intended use. The training included more than 750K ECGs from over 250K patients. The training dataset included more than 200K ECGs with approximately 49% data from females, approximately 70% from subjects who were reported as whites, 3% nonwhites, and 27% from those who did not report their race The validation was conducted on two datasets. The first dataset included more than 34K ECGs with approximately 51% data from females, approximately 80% from subjects who were reported as whites, 3.6% non-whites, and 1 7% from those who did not report their race. The second dataset included 226 ECGs with approximately 60% data from females, approximately 87% from subjects who were reported as whites, 3.2% non-whites, and 10% from those who did not report their race.
Here's a breakdown of the acceptance criteria and the study proving the device meets them, based on the provided FDA 510(k) summary for the AliveCor QT Service:
1. Table of Acceptance Criteria and Reported Device Performance
| Acceptance Criteria (Nonclinical Testing Goal) | Reported Device Performance (Summary of Nonclinical Testing Results) | 
|---|---|
| Mean interval difference ≤ ± 20ms for estimated QT and heart-rate corrected QT intervals compared to expert annotated reference interval. | The results of the nonclinical testing demonstrate that AliveCor QT Service performs to its specifications, meets its intended use with substantially equivalent performance to that of the predicate device and does not raise different questions of safety or effectiveness. (Specific mean difference values are not explicitly given in the summary, but the general claim of meeting specifications implies this criterion was met.) | 
| Standard deviation of interval difference (σ) ≤ 25ms for estimated QT and heart-rate corrected QT intervals compared to expert annotated reference interval. | The results of the nonclinical testing demonstrate that AliveCor QT Service performs to its specifications, meets its intended use with substantially equivalent performance to that of the predicate device and does not raise different questions of safety or effectiveness. (Specific standard deviation values are not explicitly given in the summary, but the general claim of meeting specifications implies this criterion was met.) | 
Note: The FDA 510(k) summary provides a high-level summary of the performance testing. While the acceptance criteria are stated, the precise numerical results for the mean and standard deviation of the interval differences are not explicitly detailed in this public document, beyond the assertion that the device "performs to its specifications" and achieves "substantially equivalent performance."
2. Sample Sizes Used for the Test Set and Data Provenance
- Test Set (Validation Datasets):
- First Dataset: More than 34,000 ECGs
- Provenance: Not explicitly stated (e.g., country of origin). Appears to be retrospective, as it's described as a "validation was conducted on two datasets."
 - Demographics: Approximately 51% females, ~80% whites, 3.6% non-whites, and 17% did not report their race.
 
 - Second Dataset: 226 ECGs
- Provenance: Not explicitly stated (e.g., country of origin). Appears to be retrospective.
 - Demographics: Approximately 60% females, ~87% whites, 3.2% non-whites, and 10% did not report their race.
 
 
 - First Dataset: More than 34,000 ECGs
 - Data Provenance: The document does not specify the country of origin for the validation datasets, only that they contain ECGs from "patients representative of the device's intended use." The testing was "nonclinical" and involved "standards-based and AliveCor proprietary ECG databases." It implies retrospective data collection.
 
3. Number of Experts Used to Establish Ground Truth for the Test Set and Their Qualifications
The document mentions "expert annotated reference interval from a supine, diagnostic bandwidth, 12-lead ECG" as the ground truth. However, it does not specify the following:
- The exact number of experts used.
 - The specific qualifications of those experts (e.g., "radiologist with 10 years of experience" - for ECGs, this would typically involve cardiologists or electrophysiologists).
 - The process for their annotation (e.g., independent reviews, consensus).
 
4. Adjudication Method for the Test Set
The document does not specify an explicit adjudication method (e.g., 2+1, 3+1, none) for the expert annotations used to establish ground truth for the test set. It simply states "expert annotated reference interval."
5. Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study
- Was an MRMC study done? No. The document explicitly states: "No clinical testing was required to establish substantial equivalence." This indicates that the study focused on device performance against a predefined ground truth in a non-clinical setting, rather than a human-in-the-loop comparative effectiveness study for human readers.
 
6. Standalone (Algorithm Only) Performance
- Was a standalone performance study done? Yes. The entire nonclinical testing section describes the performance of the "AliveCor QT Service" (the algorithm) independently against expert-annotated ground truth. The acceptance criteria relate directly to the algorithm's output (mean and standard deviation of interval differences).
 
7. Type of Ground Truth Used
- Type of Ground Truth: The ground truth used was expert consensus / expert annotated reference interval. Specifically, it states "expert annotated reference interval from a supine, diagnostic bandwidth, 12-lead ECG."
 
8. Sample Size for the Training Set
- Training Set Sample Size: The training included more than 750,000 ECGs from over 250,000 patients.
- Demographics: More than 200,000 ECGs within this set had demographic data: ~49% females, ~70% whites, 3% non-whites, and 27% did not report their race.
 
 
9. How the Ground Truth for the Training Set Was Established
The document states that the algorithms (including deep neural networks) were "trained and validated on datasets with ECGs from patients representative of the device's intended use." However, it does not explicitly detail how the ground truth for the training set was established. It is common practice for such large datasets to be assembled from institutional databases or clinical trials where ECGs might have pre-existing annotations or be reviewed by a panel of experts, but the specific methodology for establishing ground truth for the training set is not provided in this summary.
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May 11, 2022
AliveCor, INC. % Prabhu Raghavan Principal Consultant MDQR, LLC 189 N. Bernardo Ave. Suite 100 Mountain View, California 94043
Re: K212662
Trade/Device Name: AliveCor QT Service Regulation Number: 21 CFR 870.1425 Regulation Name: Programmable diagnostic computer Regulatory Class: Class II Product Code: DQK, DPS
Dear Prabhu Raghavan:
The Food and Drug Administration (FDA) is sending this letter to notify you of an administrative change related to your previous substantial equivalence (SE) determination letter dated April 26, 2022. Specifically, FDA is updating this SE Letter (e.g., typo in correspondent address) as an administrative correction.
Please note that the 510(k) submission was not re-reviewed. For questions regarding this letter please contact Jennifer Shih Kozen, OHT2: Office of Cardiovascular Devices, 301-796-5813, Jennifer.Shih(@fda.hhs.gov.
Sincerely,
Jennifer W. Shih -S
Jennifer Shih Kozen Assistant Director Division of Cardiac Electrophysiology, Diagnostics and Monitoring Devices Office of Cardiovascular Devices Office of Product Evaluation and Quality Center for Devices and Radiological Health
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April 26, 2022
AliveCor, Inc. % Prabhu Raghavan Principal Consultant MDQR, LLC 444 Castro Street, Suite 600 Mountain View, California 94041
Re: K212662
Trade/Device Name: AliveCor QT Service Regulation Number: 21 CFR 870.1425 Regulation Name: Programmable Diagnostic Computer Regulatory Class: Class II Product Code: DQK, DPS Dated: March 25, 2022 Received: March 28, 2022
Dear Prabhu Raghavan:
We have reviewed your Section 510(k) premarket notification of intent to market the device referenced above and have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food, Drug, and Cosmetic Act (Act) that do not require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. Although this letter refers to your product as a device, please be aware that some cleared products may instead be combination products. The 510(k) Premarket Notification Database located at https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm identifies combination product submissions. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
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Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 801); medical device reporting of medical device-related adverse events) (21 CFR 803) for devices or postmarketing safety reporting (21 CFR 4, Subpart B) for combination products (see https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reportingcombination-products); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR Part 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to https://www.fda.gov/medical-device-safety/medical-device-reportingmdr-how-report-medical-device-problems.
For comprehensive regulatory information about mediation-emitting products, including information about labeling regulations, please see Device (https://www.fda.gov/medicaldevices/device-advice-comprehensive-regulatory-assistance) and CDRH Learn (https://www.fda.gov/training-and-continuing-education/cdrh-learn). Additionally, you may contact the Division of Industry and Consumer Education (DICE) to ask a question about a specific regulatory topic. See the DICE website (https://www.fda.gov/medical-device-advice-comprehensive-regulatoryassistance/contact-us-division-industry-and-consumer-education-dice) for more information or contact DICE by email (DICE(@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).
Sincerely,
Jennifer W. Shih -S
Jennifer Shih Kozen Assistant Director Division of Cardiac Electrophysiology, Diagnostics and Monitoring Devices Office of Cardiovascular Devices Office of Product Evaluation and Ouality Center for Devices and Radiological Health
Enclosure
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Indications for Use
510(k) Number (if known) K212662
Device Name AliveCor QT Service
Indications for Use (Describe)
AliveCor QT Service analyses 30 seconds of a previously acquired electrocardiogram (ECG) from AliveCor designed 6-Lead ambulatory ECG devices analyzed as normal sinus rhythm for QT interval measurements.
Alive or OT Service is intended for use in a professional medical facility, such as a hospital, clinic, or doctor's office by a qualified health care professional, including trained ECG technician.
Alive Or OT Service is indicated for use on adult patients (older than 18 years). The device has not been tested for and is not intended for pediatric use. The service is not in life supporting, or sustaining systems, or continuous ECG monitors, or cardiac alarm devices, or OTC use only devices.
Type of Use (Select one or both, as applicable)
Prescription Use (Part 21 CFR 801 Subpart D)
Over-The-Counter Use (21 CFR 801 Subpart C)
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510(k) Summary for K212662
Prepared in accordance with the requirements of 21 CFR 807.92
Submitter Information [807.92(a)(1)]
| Submitter/Applicant | AliveCor, Inc.189 N. Bernardo Ave.Mountain View, CA 94043Phone: 650-396-8553Fax: 650-282-7932 | 
|---|---|
| Primary Contact Person | Prabhu RaghavanRegulatory Consultant for AliveCorMDQR, LLC189 N. Bernardo Ave.Mountain View, CA 94043Phone: 408-316-5707Fax: 650-282-7932Email: prabhu@mdqr.solutions | 
| Submitter andSecondary Contact Person | Susan NoriegaVP of Regulatory Affairs, Clinical Affairs and Quality189 N. Bernardo Ave. Suite 100Mountain View, CA 94043Phone: 650-793-1966Fax: 650-282-7932Email: snoriega630@alivecor.com | 
| Date Prepared | April 25, 2022 | 
| Device Information [807.92(a)(2)] | |
| Trade NameCommon NameClassificationDevice ClassProduct CodeSubsequent Product Code | AliveCor QT ServiceProgrammable diagnostic computer21 CFR§870.1425IIDQK, Computer, Diagnostic, ProgrammableDPS, Electrocardiograph | 
Predicate Information [807.92(a)(3)]
| Predicate | K170155, GE EK12 Algorithm | 
|---|---|
| Reference Device | K201985, AliveCor KardiaAI | 
Device Description [807.92(a)(4)]
AliveCor QT Service is a cloud-based Software as a Medical Device (SaMD) that is used to measure the QT and heart-rate corrected QT ("QTc") interval measurements from
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electrocardiograms (ECG) recorded from adult patients (older than 18 years) using AliveCordesigned 6-Lead ambulatory ECG devices. AliveCor QT Service provides QT and QTc interval measurements only on ECGs analyzed as Normal Sinus Rhythm by KardiaAI (K201985).
AliveCor QT Service is a prescription (Rx) use only device intended for use by qualified healthcare professionals, including trained ECG technicians. Healthcare professionals can access AliveCor OT Service over the internet from patient management and ECG storage Medical Device Data Systems (MDDS), or from other prescription-use only medical data software devices. These devices provide a previously recorded ECG from an AliveCor-designed 6-Lead ambulatory ECG device, such as the KardiaMobile 6L (K210753), in a compatible format using the AliveCor QT Service's REST-based application program interface (API). REST or REpresentational State Transfer is a software methodology that defines rules for creating web services to access resources over Hypertext Transfer Protocol (HTTP). AliveCor QT Service responds to the analysis request with the following measurements:
- QT interval, measured from the first 30 seconds of the ECG
 - Heart-rate corrected QT (QTc) interval based on the Bazett's formula and the Fridericia's ● formula
 
AliveCor QT Service utilizes various internal algorithms including deep neural networks (DNN) to analyze an ECG to compute the QT interval. AliveCor QT Service also includes algorithms to compute the RR-interval, which is used to provide both the Bazett's and Fridericia corrected OTc intervals. These algorithms were trained and validated on datasets with ECGs from patients representative of the device's intended use. The training included more than 750K ECGs from over 250K patients. The training dataset included more than 200K ECGs with approximately 49% data from females, approximately 70% from subjects who were reported as whites, 3% nonwhites, and 27% from those who did not report their race The validation was conducted on two datasets. The first dataset included more than 34K ECGs with approximately 51% data from females, approximately 80% from subjects who were reported as whites, 3.6% non-whites, and 1 7% from those who did not report their race. The second dataset included 226 ECGs with approximately 60% data from females, approximately 87% from subjects who were reported as whites, 3.2% non-whites, and 10% from those who did not report their race.
Indications for use [807.92(a)(5)]
AliveCor QT Service analyses 30 seconds of a previously acquired electrocardiogram (ECG) from AliveCor designed 6-Lead ambulatory ECG devices analyzed as normal sinus rhythm for QT interval measurements.
AliveCor OT Service is intended for use in a professional medical facility, such as a hospital, clinic, or doctor's office by a qualified health care professional, including trained ECG technician.
AliveCor QT Service is indicated for use on adult patients (older than 18 years). The device has not been tested for and is not intended for pediatric use. The service is not intended for use in life supporting, or sustaining systems, or continuous ECG monitors, or cardiac alarm devices, or OTC use only devices.
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510(k) Summary for K212662, AliveCor QT Service AliveCor, Inc.
Substantial Equivalence
The Substantial Equivalence utilizes one predicate device and one reference device, namely:
- 
- Predicate: K170155, EK12 Algorithm, that analyzes ECGs to provide rhythm and measurements including QT interval measurements.
 
 - 
- Reference Device: K201985, KardiaAI, which is an API library that analyzes ECGs from AliveCor-designed ECG devices and provides rhythm analysis. The reference device, like the subject device is used to analyze ECGs recorded from AliveCordesigned ambulatory ECGs including the K210753, KardiaMobile 6L, an AliveCordesigned 6-Lead ambulatory ECG device that the subject device is compatible with. The subject device also incorporates this reference device internally to perform rhythm analysis to determine if the provided ECG is Normal Sinus Rhythm.
 
 
AliveCor QT Service has the same intended use as the predicate device, K170155, GE EK12 Algorithm. Both devices analyze prerecorded multi-lead ECG signals and measure the QT and heart-rate corrected OT intervals. Both devices are intended to be used by qualified health care professional, including trained ECG technicians. The subject device additionally shares key safety and technological characteristics with the predicate device: both devices are SaMDs that may not be used for active patient monitoring and do not provide any time sensitive information, continuous display of information, alarms, or alerts intended to alert a caregiver to take an immediate clinical action. Both devices do not directly interface with the patient, and both are provided digital ECG samples and output digital information containing the requested analysis. Both devices are provided in the form of a service. The predicate is additionally provided as a compiler linked library and as a command-line interface application.
The subject device utilizes a mix of algorithms that utilize adaptive filters, and features extracted using signal processing to compute a representative ECG beat, which is then used by a deep neural network to compute the QT interval measurement1. The predicate computes a representative beat and uses ECG signal processing, pattern recognition, regression methods, as well as modeling of cardiac action potentials to establish the key time points in the overall ECG and thus compute the QT interval2. Both devices account for poor T-waves in the ECG. Any differences between the technological characteristics of the interval measurement algorithms have been evaluated through performance testing and do not raise different questions of safety or effectiveness. Differences between the subject device and the predicate have been tested to ensure that the device meets its intended use. Therefore, AliveCor QT Service is substantially equivalent to the predicate device.
1 Giudicessi, Schram, et al. Artificial Intelligence-Enabled Assessment of the Heart Rate Corrected QT Interval Using a Mobile Electrocardiogram Device. Circulation. 2021 Mar 30;143(13):1274-1286. doi: 10.1161/CIRCULATIONAHA.120.050231. Epub 2021 Feb 1.
2 Xue J. Q. (2009). Robust QT interval estimation--from algorithm to validation. Annals of nominvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc, 14 Suppl 1(Suppl 1), S35-S41. https://doi.org/10.1111/j.1542-474X.2008.00264.x
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| Feature | AliveCor QT Service(Subject Device) | K170155 EK12Algorithm(Predicate Device) | K201985 KardiaAI(Reference Device) | 
|---|---|---|---|
| Product Code | DQK, Computer,Diagnostic, ProgrammableDPS, Electrocardiograph | MHX, Monitor,Physiological, Patient(With ArrhythmiaDetection orAlarms) | DQK, Computer,Diagnostic, ProgrammableDPS, Electrocardiograph | 
| Regulation | 21 CFR§870.1425,Programmable diagnosticcomputer | 21 CFR 870.1025,Arrhythmia detector andalarm | 21 CFR§870.1425,Programmable diagnosticcomputer | 
| Classifi-cation | II | II | II | 
| Indications forUse | AliveCor QT Serviceanalyses 30 seconds of apreviously acquiredelectrocardiogram (ECG)from AliveCor designed 6-Lead ambulatory ECGdevices analyzed as normalsinus rhythm for QTinterval measurements.AliveCor QT Service isintended for use in aprofessional medicalfacility, such as a hospital,clinic, or doctor's office bya qualified health careprofessional, includingtrained ECG technician.AliveCor QT Service isindicated for use on adultpatients (older than 18years). The device has notbeen tested for and is notintended for pediatric use.The service is not intendedfor use in life supporting,or sustaining systems, or | EK12 Algorithm analyzesten or more seconds of apreviously acquiredelectrocardiogram (ECG)from physiological ECGsignal recording devicesfor rhythm andmeasurements. EK12Algorithm is used to createreports intended for use bya Qualified MedicalProfessional, including atrained ECG Technicianoperating withinIndependent DiagnosticTesting Facility (IDTF)requirements andperformance standards forthe review and assessmentof an ECG.EK12 Algorithm isindicated for use on adultsand pediatric patients olderthan 2 years.The device is intended foruse in an IDTF or a | KardiaAI is a softwareanalysis library intended toassess ambulatoryelectrocardiogram (ECG)rhythms from adultsubjects (when prescribedor used under the care of aphysician). The devicesupports analyzing datarecorded in compatibleformats from anyambulatory ECG devicessuch as event recorders, orother similar devices. Thelibrary is intended to beintegrated into other devicesoftware. The library isnot intended for use in lifesupporting, or sustainingsystems, or ECG monitors,or cardiac alarm devices,or OTC use only devices.The KardiaAI libraryprovides the followingcapabilities:●Filtering ECG noise, | 
| Feature | AliveCor QT Service(Subject Device) | K170155 EK12Algorithm(Predicate Device) | K201985 KardiaAI(Reference Device) | 
| continuous ECG monitors,or cardiac alarm devices,or OTC use only devices. | professional medicalfacility, such as a hospital,clinic, or doctor's office. | Reporting heart rate measurement from ECGs,Detecting noisy ECGs,Reporting ECG rhythm analysis for the presence of sinus rhythm, atrial fibrillation, bradycardia, and tachycardia; for ECGs detected as sinus rhythm, detecting normal sinus rhythm, sinus rhythm with wide QRS, sinus rhythm with premature ventricular contractions (PVC), and sinus rhythm with supraventricular ectopy,Detecting QRS complexes in an ECG,For ECGs detected as sinus rhythm, classifying individual beats as a PVC or non-PVC beat, andGenerating an average beat from an ECGThe device is not intended for use in patients who have pacemakers, ICDs, or other implanted electronic devices | |
| Targetpopulation | Adults (over 18) | Adults and pediatricpatients older than 2 years | Adults (over 18) | 
| Feature | AliveCor QT Service(Subject Device) | K170155 EK12Algorithm(Predicate Device) | K201985 KardiaAI(Reference Device) | 
| Indicated UseMethod | Prescription Use | Prescription Use | Prescription Use | 
| Form Factor | Software only | Software only | Software only | 
| CompatibleECG Leads | Lead-I and Lead-II fromAliveCor-designed six-leadambulatory ECG | 12-lead or any subset of12-leads | Lead-I from AliveCor-designed ambulatory ECG | 
| Technology | Software algorithm | Software algorithm | Software algorithm | 
| ECG Analysis | QT and heart-ratecorrected QT intervals | Rhythm and measurementanalysis including QT andheart-rate corrected QTcintervals | Rhythm analysis | 
| Technologicalcharacteristics | Adaptive filtering, signalprocessing, deep neuralnetworks | Adaptive filtering, signalprocessing, regressionmodels | Adaptive filtering, signalprocessing, deep neuralnetworks | 
Comparison of Technological Characteristics with the Predicate Device [807.92(a)(6)]
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Comparison of Technological Characteristics with the Predicate Device [807.92(a)(6)]
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Comparison of Technological Characteristics with the Predicate Device [807.92(a)(6)]
Performance Data [807.92(b)]
All necessary testing was conducted on AliveCor QT Service to support a determination of substantial equivalence to the predicate device.
Nonclinical Testing Summary [807.92(b)(1)]
AliveCor conducted bench performance testing of the subject device to validate that the device meets its performance specifications and to demonstrate that, in light of the technological differences between AliveCor OT Service and its predicate, the subject device is at least as safe and as effective as the predicate device for the same intended use.
Nonclinical testing was conducted to assess algorithm performance and to verify that the AliveCor QT Service estimated QT and heart-rate corrected QT intervals have a mean interval difference ≤ ± 20ms and a standard deviation of interval difference ≤ 25ms when compared to an expert annotated reference interval from a supine. diagnostic bandwidth, 12-lead ECG. Algorithm performance was evaluated using standards-based and AliveCor proprietary ECG databases. The databases were selected or developed to demonstrate that the QT interval measurement is accurate and can be used to measure the interval on ECGs recorded from AliveCor designed six-lead ECG devices by adults. Additionally, the subject device and the predicate were comparatively evaluated against appropriate databases to demonstrate substantially equivalent performance.
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510(k) Summary for K212662, AliveCor QT Service AliveCor, Inc.
In summary, the results of the nonclinical testing demonstrate that AliveCor QT Service performs to its specifications, meets its intended use with substantially equivalent performance to that of the predicate device and does not raise different questions of safety or effectiveness.
Clinical Testing Summary [807.92(b)(2)]
No clinical testing was required to establish substantial equivalence.
Conclusions [807.92(b)(3)]
AliveCor QT Service has the same intended use as the predicate device, and the labeling differences do not raise different questions of safety or effectiveness. Therefore, AliveCor QT Service is substantially equivalent to the predicate device.
§ 870.1425 Programmable diagnostic computer.
(a)
Identification. A programmable diagnostic computer is a device that can be programmed to compute various physiologic or blood flow parameters based on the output from one or more electrodes, transducers, or measuring devices; this device includes any associated commercially supplied programs.(b)
Classification. Class II (performance standards).