K130660 · Inovise Medical, Inc. · MLO · Oct 11, 2013 · Cardiovascular
Device Facts
Record ID
K130660
Device Name
AUDICOR CPAM WITH SDB (SINGLE SENSOR)
Applicant
Inovise Medical, Inc.
Product Code
MLO · Cardiovascular
Decision Date
Oct 11, 2013
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 870.2800
Device Class
Class 2
Attributes
Real-World Evidence
Real-World Evidence
Submission
Device
Sponsor
RWD Sources
RWE Use Summary
Key Tags
K130660 · Oct 11, 2013
AUDICOR CPAM WITH SDB (SINGLE SENSOR)
Inovise Medical, Inc.
Retrospective clinical datasets (previously used for predicate device FDA clearance)
Retrospective clinical data was used to demonstrate that the modified single-sensor heart sound algorithm has statistically equivalent performance to the previously cleared two-sensor system.
The AUDICOR System when used with an AUDICOR Sensor on the chest wall and properly attached Holter unit, is intended for use on adults 18 years of age and older in acquiring, analyzing and reporting ECG, heart sound, body position, Sleep Disordered Breathing (SDB) and snoring detection and to provide interpretation of the data in an integrated report for consideration by physicians. The SDB analysis and reporting is intended for use on adult patients only as a screening device for obstructive or mixed apnea to determine the need for evaluation by polysomnography based on the patient's score. Patients screened for SDB should have periods of sleep of at least 4 hours duration during which the ECG is predominantly sinus rhythm in nature. The AUDICOR recording may be obtained at any location specified by a physician including home, hospital or clinic. The device is intended for use only under the direct supervision of a physician.
Device Story
Ambulatory monitor captures physiologic data via chest-worn sensor and Holter unit; inputs include ECG, heart sounds, body position (via tri-axial accelerometer), and snoring sounds. System records up to 48 hours of data; software analyzes signals to detect heart rate (bradycardia/tachycardia), atrial fibrillation, heart rate variability, snoring, SDB (apnea/hypopnea) events, and activity levels. Clinician reviews automatically detected events and measurements via trended reports; can modify interpretations. Used in home, hospital, or clinic under physician supervision. Output assists physicians in screening for obstructive/mixed apnea and cardiac rhythm assessment; facilitates clinical decision-making regarding further diagnostic testing like polysomnography.
Clinical Evidence
Retrospective clinical studies evaluated body position and single-sensor heart sound algorithms. Body position accuracy compared to gold-standard performance showed equivalence. Single-sensor heart sound algorithm performance compared to two-sensor predicate using re-analyzed datasets; results demonstrated statistical equivalency in performance metrics.
Technological Characteristics
Small, wearable, battery-powered ambulatory monitor. Uses single dual-purpose sensor for ECG and heart sound acquisition. Incorporates tri-axial accelerometer for body position/activity. Non-volatile memory for data storage. Software-based analysis of ECG, heart sounds, and accelerometer signals. Complies with EN 60601-1, EN 60601-1-2, ANSI/AAMI EC38, and ANSI/AAMI EC57.
Indications for Use
Indicated for adults 18+ for acquisition, analysis, and reporting of ECG, heart sounds, body position, SDB, and snoring. Used as a screening device for obstructive or mixed apnea to determine need for polysomnography. Requires minimum 4 hours sleep with predominantly sinus rhythm ECG.
Regulatory Classification
Identification
A medical magnetic tape recorder is a device used to record and play back signals from, for example, physiological amplifiers, signal conditioners, or computers.
VivoMetrics LifeShirt with VivoLogic Analysis Software (K011903)
Submission Summary (Full Text)
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## 510(k) Summarv
As required by 21 CFR, part 807.92
- Inovise Medical, Inc. Submitted By: 8770 SW Nimbus Ave, Suite D Portland, OR 97008-7196 : Phone 503-313-0149
Fax 503-431-3801
Contact: Earl Anderson Director, Quality and Regulatory
Date Prepared: May 14, 2013
> AUDICOR® CPAM with SDB (Single Sensor) Proprietary Name:
- Common/ Usual · Ambulatory Monitor / Acoustic Cardiograph Name:
- 870.2800, MLO, class II, Electrocardiograph, Ambulatory (with analysis program) Classification: 868.2375, MNR, Ventilatory Effort Recorder
AAMI EC38 and AAMI EC57 Performance
Standards:
The AUDICOR System when used with an AUDICOR Sensor on the chest wall Intended Use: and properly attached Holter unit, is intended for use on adults 18 years of age and older in acquiring, analyzing and reporting ECG, heart sound, body position, Sleep Disordered Breathing (SDB) and snoring detection and to provide interpretation of the data in an integrated report for consideration by physicians. The SDB analysis and reporting is intended for use on adult patients only as a screening device for obstructive or mixed apnea to determine the need for evaluation by polysomnography based on the patient's score. Patients screened for SDB should have periods of sleep of at least 4 hours duration during which the ECG is predominantly sinus rhythm in nature. The AUDICOR recording may be obtained at any location specified by a physician including home, hospital or clinic. The device is intended for use only under the direct supervision of a physician.
The AUDICOR System employs the Hemo ambulatory recording device to capture Device 10-second snapshots or up to 48 continuous hours of physiologic data. ECG, Description: heart sounds, body position, sleep disordered breathing, snoring sounds, and activity level are interpreted from the physiologic signals captured. The AUDICOR System includes software to analyze recorded data, then display and present a summary of patient data over time in a trended format. Notable events are detected and displayed for review by the clinician.
The AUDICOR System analyzes and reports the following parameters:
- Heart rate including bradycardia and tachycardia events .
- Atrial fibrillation .
- ECG beat classification and morphology grouping with user-editing l
- . Heart rate variability
- Snoring detection .
- Sleep disordered breathing (apnealhypopnea) events �
- . Sleep disordered breathing score
- Activity level .
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- . Body position
- Heart sound and combined ECG/heart sound measurements .
- Heart rate distributions of heart sound parameters
The clinician can review automatically detected events and measurements, and modify them as well as modify the interpretative statements generated.
Non-Clinical Performance Testing
In support of design verification, the AUDICOR System has been tested to the applicable requirements of the following standards, and shown to comply.
- . EN 60601-1 Standard for Medical Electrical Equipment: General Requirements for Safety
- . EN 60601-1-2 Standard for Medical Electrical Equipment Part 1-2: General Requirements for Safety - Collateral Standard: Electromagnetic Compatibility -Requirements and Tests
- ANSI/AAMI EC38:Ambulatory Electrocardiographs .
- ANSI/AAMI EC57: Test and Reporting Performance Results of Cardiac . Rhythm and ST-segment Measurement Algorithms
The modifications to the AUDICOR System are constrained to software elements. These modifications have no impact on the mechanical, electromagnetic compatibility, biocompatibility or electrical safety characteristics of the previously-cleared AUDICOR CPAM system. The AUDICOR System did undergo all applicable and required Verification and Validation activities and successfully passed all test protocols.
Clinical Performance Testing
Retrospective clinical tests were performed to evaluate the performance of the new body position capability and the modified heart sound capability.
Body Position: A study was designed and undertaken on a group of subjects representative of those intended to use the device and that established AUDICOR body position accuracy in comparison to idealized gold-standard performance. There were no complications or adverse events during the course of the study. The results of this study conclusively shows AUDICOR performance to be equivalent to the limits achievable using the same technology employed by the predicate device. Evaluation of performance metrics effectively demonstrates performance that is substantially equivalent to the predicate device.
Single Sensor Heart Sound: A study was designed and undertaken that compares AUDICOR heart sound algorithm performance using a single AUDICOR sensor to that of the predicate two-sensor AUDICOR system. The retrospective study reemployed datasets initially used for obtaining FDA clearance for the two-sensor system on a group of patients representative of those the device is intended for. The results of the study show that AUDICOR heart sound algorithms modified for use with a single sensor have statistically equivalent performance as that of the two-sensor system. This statistical equivalency in performance is the basis for the claim of substantial equivalency with the predicate device.
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Technological The AUDICOR System and the predicate devices are technologically equivalent in Characteristics: that the devices:
- 1) Are small, wearable, battery-powered devices
- 2) Acquire ECG data from patients using limited ECG leads
- Analyze the ECG signal to detect periods of sleep-disordered breathing 3)
- Acquire a sound signal for detection of snoring 4)
- 5) Analyze the signals from an accelerometer to derive body position and activity level
- 6) Use non-volatile memory to store patient data for download to the analysis module of the system
The AUDICOR System is different from the predicates in the following ways:
- 1) The previously-cleared AUDICOR System employed the use of two dual-purpose AUDICOR sensors attached to the chest wall. The modified AUDICOR system is now specified for use with a single dual-purpose AUDICOR sensor.
Substantial Equivalence:
The predicate devices for the added algorithm for reporting of body position and the modification to existing AUDICOR algorithms to accommodate single-sensor use are:
- AUDICOR CPAM (510(k) (K120462), and 1.
- 2. VivoMetrics LifeShirt with VivoLogic Analysis Software (510(k) K011903)
The intended uses of the predicates are similar in that they are ambulatory monitors that record and analyze ECG, heart sounds, body position and sleepdisordered breathing from ECG. The VivoMetrics device can also collect signals from external devices such as blood pressure monitors but this does not represent a critical difference to the intended use of the device when used as labeled.
The predicate for the new body position detection feature is the Vivometrics LifeShirt System with VivoLogic Analysis Software (K011903), The Vivometrics LifeShirt System contains a tri-axial accelerometer and the VivoLogic Software running on a computer processes the tri-axial accelerometer to determine body position that is then made available to the user. The AUDICOR System also incorporates a tri-axial accelerometer and an automated signal processing algorithm that runs on an AUDICOR enabled computer that processes the accelerometer signals to determine body position. In this way both devices incorporate the same basic tri-axial accelerometer technology and report the same information to the user concerning body position.
Conclusion: The combination of non-clinical tests outlined and summarized above and described in the Declaration of Conformity together with clinical performance testing, also outlined above, demonstrates the subject device is substantially equivalent to the predicate devices noted with respect to principles of operation, intended use and technological characteristics.
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Public Health Service
Food and Drug Administration 10903 New Hampshire Avenue Document Control Center - WO66-G609 Silver Spring, MD 20993-0002
October 11, 2013
Inovise Medical, Incorporated Mr. Earl Anderson Director, Quality and Regulatory 8770 SW Nimbus Avenue. Suite D BEAVERTON OR 97008-7196
Re: K130660
Trade/Device Name: AUDICOR CPAM with SDB (Single Sensor) Regulation Number: 21 CFR 870.2800 Regulation Name: Medical Magnetic Tape Recorder Regulatory Class: II Product Code: MLO, MNR Dated: September 9, 2013 Received: September 10. 2013
Dear Mr. Anderson:
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 docs 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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Page 2 Mr. Anderson
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 (OS) 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 contact the Division of Small Manufacturers, International and Consumer Assistance at its tollfree number (800) 638-2041 or (301) 796-7100 or at its Internet address
http://www.fda.gov/MedicalDevices/ResourcesforYou/Industry/default.htm. 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/ReportalProblem/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.
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Kwame Ulmer M.S. Acting Division Director Division of Anesthesiology, General Hospital, Respiratory, Infection Control and Dental Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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## Indications for Use
K130660:
## Device Name: AUDICOR® CPAM with SDB (Single Sensor)
Indications For Use:
The AUDICOR System when used with an AUDICOR Sensor on the chest wall and properly attached Holter unit, is intended for use on adults 18 years of age and older in acquiring, analyzing and reporting ECG, heart sound, body position, Sleep Disordered Breathing (SDB) and snoring detection and to provide interpretation of the data in an integrated report for consideration by physicians.
The SDB analysis and reporting is intended for use on adult patients only as a screening device for obstructive or mixed apnea to determine the need for evaluation by polysomnography based on the patient's score. Patients screened for SDB should have periods of sleep of at least 4 hours duration during which the ECG is predominantly sinus rhythm in nature.
The AUDICOR recording may be obtained at any location specified by a physician including home, hospital or clinic. The device is intended for use only under the direct supervision of a physician.
Prescription Use XXX (Part 21 CFR 801 Subpart D) AND/OR
Over-The-Counter Use (21 CFR 801 Subpart C)
(PLEASE DO NOT WRITE BELOW THIS LINE-CONTINUE ON ANOTHER PAGE IF NEEDED)
| Concurrence of CDRH, Office of Device Evaluation (ODE) | |
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| Page 1 of 1 | |
| Anya C. Harry S | Digitally signed by Anya C. Harry -S<br>DN: c=US, o=U.S. Government, ou=HHS,<br>ou=FDA, ou=People, cn=Anya C. Harry -S,<br>0.9.2342.19200300.100.1.1=0011315590<br>Date: 2013.10.10 16:52:39 -04'00' |
Two short videos show you everything — or skip straight to the written tutorial if you'd rather read. You can reopen this any time from the Tutorial button in the top bar.
Part 1 — Search, results, and everyday workflows 16 min
Part 2 — Embeddings: the galaxy map 3 min
1. Search: exact and fuzzy
Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
Use the checkboxes above the results to narrow: SaMD keeps only software-only devices, AI / ML keeps only devices with AI.
Exact vs. fuzzy search: what's the difference?
Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.