CALG-STR EXERCISE ECG ANALYSIS ALGORITHM

K112959 · Philips Health Care · DPS · Jan 26, 2012 · Cardiovascular

Device Facts

Record IDK112959
Device NameCALG-STR EXERCISE ECG ANALYSIS ALGORITHM
ApplicantPhilips Health Care
Product CodeDPS · Cardiovascular
Decision DateJan 26, 2012
DecisionSESE
Submission TypeTraditional
Regulation21 CFR 870.2340
Device ClassClass 2
AttributesSoftware as a Medical Device, Pediatric

Intended Use

The intended use of the CAlg-STR exercise ECG analysis algorithm is to analyze multi-channel ECG waveforms acquired from a patient and produce measurements such as heart rate, detect ventricular arrhythmias, form representative beats, and calculate ST segment deviation (elevation or depression) and ST slope for review by a trained physician or clinician in determining a diagnosis. The measurements should not be used as a sole means for determining a patient's diagnosis.

Device Story

Software module integrated into stress exercise systems; analyzes up to 16-lead ECG waveforms. Inputs: multi-channel ECG signals (1000 samples/sec). Processing: beat classification, heart rate calculation, arrhythmia detection, and averaging of similar morphology beats to form representative beats; calculates ST segment deviation and slope. Output: measurements displayed on host device for clinician review. Used in hospitals and clinics by trained medical personnel. Does not provide diagnostic interpretation; output supports physician decision-making regarding cardiac diagnosis and treatment. Benefits: provides automated, objective measurements of ST segments and rhythm during stress testing to assist clinical assessment.

Clinical Evidence

Bench testing only. Performance validated against ANSI/AAMI/ISO EC57:1988/(R)2008 requirements for cardiac rhythm and ST-segment measurement algorithms. Results demonstrated consistent performance meeting all design specifications.

Technological Characteristics

Software-based ECG analysis algorithm; 1000 samples/sec sampling rate; 0.050-150 Hz bandwidth; 5µV/LSB resolution. Uses Cubic Spline algorithm for baseline correction. Configurable notch filter. No hardware/biocompatibility requirements as it is a software module.

Indications for Use

Indicated for use in exercise ECG testing for patients 10 years or older to evaluate ECGs for diagnosis, treatment planning, treatment effectiveness, or symptom evaluation. Not for use as a physiological monitor.

Regulatory Classification

Identification

An electrocardiograph is a device used to process the electrical signal transmitted through two or more electrocardiograph electrodes and to produce a visual display of the electrical signal produced by the heart.

Predicate Devices

Related Devices

Submission Summary (Full Text)

{0}------------------------------------------------ K112959 pg 1 of 5 (PLEASE DO NOT WRITE BELOW THIS LINE - CONTINUE ON ANOTHER PAGE IF NECESSARY) Concurrence of CDRH, Office of Device Evaluation (ODE) ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ JAN 2 6 2012 ### Appendix I ## 510(k) Summary As required by 21 CFR 807.87(h), a 510(k) Summary for this Premarket Notification submission is provided below. # 510(k) SUMMARY OF SAFETY AND EFFECTIVENESS #### CAlg-STR Exercise ECG Analysis Algorithm #### Submitter's Name and Address | Submitter's Name: | Philips Healthcare | |-----------------------|-----------------------------------------------| | Division: | Diagnostic ECG | | Address: | 1525 Rancho Conejo Boulevard Suite 100 | | City, State, and Zip: | Thousand Oaks, CA 91320 | | Contact Name: | Gretel Lumley/Quality and Regulatory Engineer | | Telephone / Fax: | ( 805 ) 214-5101 / (805) 214-5129 | #### Manufacturers' Information: Establishment Registration Number Establishment name: Address: Establishment Registration No. Philips Medical Systems 3000 Minuteman Road Andover, MA 01810 1218950 #### Device Details | | New Product | Predicate | |-------------------------------|------------------------------------------------|------------------------------------------------------------| | Proprietary or<br>Trade Name: | CAlg-STR Exercise<br>ECG Analysis<br>Algorithm | Case Cardiac Testing<br>Sytem/CS Cardiac<br>Testing System | | Common<br>Name: | ECG Analysis System | ECG Analysis Computer | | Device Class: | II | II | | Device<br>ProCodes: | DPS | DQK | | Device CFR: | 870.2340 | 870.1245 | | Classification<br>Panel: | 74 Cardiovascular | 74 Cardiovascular | | Classification<br>Name: | ECG Analysis System | Programmable<br>diagnostic computer | Page 53 of 57 {1}------------------------------------------------ ## K112959 pg 20f5 #### Intended Use The intended use of the CAlg-STR Exercise ECG Analysis Algorithm is to analyze multi-channel ECG waveforms acquired from a patient and produce measurements such as heart rate, detect ventricular arrhythmias, form representative beats, and calculate ST segment deviation (elevation or depression) and ST slope for review by a trained physician or clinician in determining a diagnosis. The measurements should not be used as a sole means for determining a patient's diagnosis. #### Device Description The CAlg-STR Exercise ECG Analysis Algorithm is a software module which may be integrated into a stress exercise system. It is used to analyze ECG waveforms to find and classify heart beats to calculate heart rate, detect arrhythmias and calculate ST deviation and ST slope when an adult or pediatric patient is undergoing cardiac stress testing. The exercise ECG Analysis Algorithm takes up to 16 ECG leads as input and provides analysis and measurements. The Exercise ECG Analysis Algorithm analyzes up to 3 leads of ECG waveforms to find and classify the heart beats and calculate heart rate. The beat classifications are then used to calculate arrhythmias. The beats with similar morphology are averaged to from representative beats for up to 16 leads. The representative beats are used to measure ST deviation and slope for up to 16 leads. Those measurements are used for display and report in the host device. The algorithm does not supply an interpretation of the data. {2}------------------------------------------------ #### Product Comparison: | Specification/<br>Feature | CAlg-STR Exercise<br>ECG Analysis<br>Algorithm | CASE Cardiac Testing System/CS Cardiac<br>Testing System | Comparison | |----------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------| | Intended Use: | Intended Use:<br>The intended use of<br>the CAlg-STR<br>exercise ECG analysis<br>algorithm is to<br>analyze mult-channel<br>ECG waveforms<br>acquired from a<br>patient and produce<br>measurements such as<br>heart rate, detect<br>ventricular<br>arrhythmias, form<br>representative beats,<br>and calculate ST<br>segment deviation<br>(elevation or<br>depression) and ST<br>slope for review by a<br>trained physician or<br>clinician in<br>determining a<br>diagnosis. The<br>measurements should<br>not be used as a sole<br>means for<br>determining a<br>patient's diagnosis. | Intended Use:<br>CASE Cardiac Testing System and the CS<br>Cardiac Testing System are intended to be used by<br>trained operators under direct supervision of a<br>licensed health care practitioner on adult and<br>pediatric patients. The CASE Cardiac Testing<br>System and the CS Cardiac Testing System are<br>designed to acquire, process, record, archive,<br>analyze and output (12 and 15 lead) ECG data<br>during a period of physiologic stress or during a<br>resting ECG test, acquire data from ancillary<br>devices (such as Spirometery and Ambulatory<br>Blood Pressure), provide median morphology<br>recordings and record ECG in real-time with and<br>without arrhythmia detection. <b>The arrhythmia<br/>detection portion of CASE Care provided to the<br/>user for the convenience of automatic detection<br/>of arrhythmias but does not provide alarms.</b><br>CASE Cardiac Testing System and the CS Cardiac<br>Testing System provide the control of external<br>devices (typically treadmill or Ergometer) and<br>communicate with centralized electronic/digital<br>storage system via network. CASE Cardiac<br>Testing System and the CS Cardiac Testing<br>System provide a user selectable option for<br>printouts of prognostic scores on select reports.<br>Vector loops are also available.<br>Case Cardiac Testing System and the CS<br>Cardiac Testing System can be configured in a<br>network environment for multiple CASE or CS<br>stations allowing the user to create a central<br>database of patient demographics and collected<br>patient physiological data. <b>CASE Cardiac<br/>Testing System and the CS Cardiac Testing<br/>System are intended to be used primarily in the<br/>hospital but can be used in clinics, physician<br/>offices, outreach centers or wherever exercise,<br/>stress testing ECG, Spirometry or ambulatory<br/>blood pressure testing is performed.</b><br><b>CASE Cardiac Testing System and the CS<br/>Cardiac Testing System offer no diagnostic<br/>opinion to the user. Instead it provides<br/>interpretive statements of morphology, rhythm,<br/>and conduction for with the physician renders<br/>his/her own medical opinion.</b> CASE/CS Cardiac<br>Testing System is not intended to be used as a<br>transport device or for home use. CASE Cardiac<br>Testing System and the CS Cardiac Testing<br>System are not interceded for the use as a vital<br>signs physiological monitor or for intracardiac<br>use. | Similar for<br>algorithm and<br>use<br>environment. | | Indications for<br>Use | Indications for Use:<br>The analysis<br>algorithm is indicated<br>for use in those<br>situations where the<br>clinician decides to<br>evaluate the<br>electrocardiogram of<br>patients at 10 years or<br>older, as part of<br>decisions regarding<br>possible diagnosis,<br>potential treatment,<br>effectiveness of<br>treatment or to rule<br>out causes for<br>symptoms | | | | Target<br>Population | Adult and Pediatric | Adult and Pediatric | Same | | Specification/<br>Feature | CAlg-STR Exercise<br>ECG Analysis<br>Algorithm | CASE Cardiac Testing System/CS Cardiac<br>Testing System | Comparison | | Where Used | Used in hospital and<br>clinical settings, by<br>qualified medical<br>personnel trained in<br>stress exercise testing. | Used primarily in the hospital but can be<br>used in clinics, physician offices, outreach<br>centers or wherever exercise, stress testing<br>ECG, Spirometry or ambulatory blood<br>pressure testing is performed. | Similar | | Display | Displayed on host<br>device | Displayed on host device. | Same | | Number of ECG<br>Signal Leads | Up to 16 leads | Up to 16 leads | Same | | Sampling Rate | 1000 samples per<br>second | 500 samples per second | Different | | Bandwidth | .050 - 150 Hz | .050 - 150 Hz | Similar | | Input Signal<br>Resolution | 5µV/LSB at 1000 Hz | 4.88µV/LSB at 500 Hz | Similar, Hz<br>difference is<br>due to sampling<br>rate | | Notch Filter | Yes, configurable | Yes, Configurable | Same | | Baseline<br>Correction | Cubic Spline<br>Algorithm | Cubic Spline Algorithm | Same | | Artifact/Baseline<br>Correction | No | Finite Residual Filter (FRF) Analysis | Different, did<br>not implement<br>FRF due to<br>potential<br>distortion of ST<br>segment | | ST<br>Measurements<br>and Calculations | ST amplitude, ST<br>Slope | ST amplitude, ST Slope, integral, index,<br>ST/HR slope, ST/HR loops, ST/HR index up<br>to 15 leads | Similar, only<br>ST amplitude<br>and ST slope<br>are calculated<br>other<br>measurements<br>are provided by<br>the host device | | Heart Rate | Automatic<br>Arrhythmia detection,<br>documentation and<br>annotation | Automatic Arrhythmia detection,<br>documentation and annotation | Similar | | Post J-Point<br>selection | Configurable | Configurable | Same | | Biocompatibility | Not applicable | Not applicable | Identical | | Sterility | Not applicable | Not applicable | Identical | Philips Medical Systems K112959 CAIg-STR Exercise ECG Analysis Algorithm Response - Page 55 of 57 {3}------------------------------------------------ #### KII 2959 pg 4of 5 The CAIg-STR Exercise ECG Analysis Algorithm has same technological characteristics except for the sampling rate and Artifact/Baseline correction as shown in the table above. The difference between the predicate's sampling rate and the CAIg-STR Exercise ECG Analysis Algorithm is not significant because a higher sampling rate creates a better fidelity of the ECG signal that is analyzed. The predicate device chose to include Artifact/Baseline correction which is not included in the CAlg-STR Exercise ECG Analysis Algorithm. Philips Medical Systems chose not to include Artifact/Baseline Correction due to potential distortion of the ST segment which would have potentially {4}------------------------------------------------ K112959 pg 5 of 5 caused decreased accuracy of the algorithm and additional design changes to the algorithm would have been necessary to address distortion of the ST segment. #### Performance Data The performance data demonstrated that the CAIg-STR Exercise ECG Analysis Algorithm meet with the design specifications of the algorithm. The CAIg-STR Exercise ECG Analysis Algorithm was tested to the requirements of ANSVAAMI/ISO EC57:1988/(R)2008: Testing and reporting performance results of cardiac rhythm and ST-sgement measurement algorithms. The performance results from this testing demonstrated that CAlg-STR Exercise ECG Analysis Algorithm performed consistentlyand meets the requirements of ANSI/AAMI/ISO EC57:1988/(R)2008: Testing and reporting performance results of cardiac rhythm and ST-sgement measurement algorithms. #### Conclusions In conclusion, the performance and non-clinical testing demonstrated that the CAIg-STR Exercise ECG Analysis Algorithm is as safe and effective as the analysis software of the predicate device. This is supported by the adherence to the FDA recognized consenus standard (ANSI/AAMI/ISO EC57:1988/(R) 2008: Testing and reporting performance results of cardiac rhythm and ST-sgement measurement algorithms) and comparison testing to other algorithms already approved for market. {5}------------------------------------------------ ### DEPARTMENT OF HEALTH & HUMAN SERVICES Image /page/5/Picture/1 description: The image shows the seal of the Department of Health & Human Services - USA. The seal is circular, with the words "DEPARTMENT OF HEALTH & HUMAN SERVICES - USA" arranged around the perimeter. In the center of the seal is an abstract image of an eagle, with its wings spread. The eagle is facing to the right. #### Public Health Service Food and Drug Administration 10903 New Hampshire Avenue Document Control Room -WO66-G609 Silver Spring, MD 20993-0002 JAN 2 6 2012 Philips Healthcare c/o Ms. Gretel Lumley 1525 Rancho Conejo Blvd, Suite 100 Thousand Oaks, CA 91320 Re: K112959 Trade/Device Name: CAlg-STR Exercise ECG Analysis Algorithm Regulation Number: 21 CFR 870.2340 Regulation Name: Electrocardiograph Regulatory Class: Class II Product Code: DPS Dated: January 10, 2012 Received: January 11, 2012 Dear Ms. Lumley: 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. 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. {6}------------------------------------------------ Page 2 - Ms. Gretel Lumley 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 (reporting of medical device-related adverse events) (21 CFR 803); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820); and if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050. If you desire specific advice for your device on our labeling regulation (21 CFR Part 801), please go to http://www.fda.gov/AboutFDA/CentersOffices/CDRH/CDRHOffices/ucm115809.htm for the Center for Devices and Radiological Health's (CDRH's) Office of Compliance. Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21CFR Part 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to http://www.fda.gov/MedicalDevices/Safety/ReportaProblem/default.htm for the CDRH's Office of Surveillance and Biometrics/Division of Postmarket Surveillance. You may obtain other general information on your responsibilities under the Act from the Division of Small Manufacturers, International and Consumer Assistance at its toll-free number (800) 638-2041 or (301) 796-7100 or at its Internet address http://www.fda.gov/MedicalDevices/Resourcesfor You/Industry/default.htm. Sincerely yours, Bran D. Zuckerman, M.D. Director Division of Cardiovascular Devices Office of Device Evaluation Center for Devices and Radiological Health Enclosure {7}------------------------------------------------ K112959 pg 1 of 1 #### Appendix H #### Indications for Use Statement 510(k) Number: Device Name: Philips CAlg-STR Exercise Analysis Algorithm Indications for Use: #### Intended Use: The intended use of the CAIg-STR exercise ECG analysis algorithm is to analyze multi-channel ECG waveforms acquired from a patient and produce measurements such as heart rate, detect ventricular arrhythmias, form representative beats, and calculate ST segment deviation (elevation or depression) and ST slope for review by a trained physician or clinician in determining a diagnosis. The measurements should not be used as a sole means for determining a patient's diagnosis. #### Indications for Use: The analysis algorithm is indicated for use in exercise ECG testing where the clinician decides to evaluate the electrocardiogram of patients at 10 years or older, as part of decisions regarding possible diagnosis, potential treatment, effectiveness of treatment or to rule out causes for symptoms. The analysis algorithm is not intended to be used as a physiological monitor. | Prescription Use (21 CFR 801 Subpart D) | X | |---------------------------------------------|---| | AND/OR | | | Over-The-Counter Use (21 CFR 801 Subpart C) | | Philips Medical Systems K112959 CAlg-STR Exercise ECG Analysis Algorithm Response (Division Sign-Off) Division of Cardiovascular Devices | Page | 52 of 57 | |---------------|----------| | 510(k) Number | K112959 |
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