The proposed device is intended to continuously acquire ambulatory ECG data for up to twelve leads or five leads. It can record the ECG data for twenty four hours. The ECG data obtained will be stored in the recorder first and then download to PC for analysis, reviewing and printing by a trained physician in health facilities.
Device Story
CV3000 Holter Analysis System consists of ambulatory ECG recorder and PC-based analysis software. Recorder captures 5 or 12-lead ECG data over 24-hour period; stores data on internal memory. Data transferred to PC for review, analysis, and printing by trained physician in clinical setting. System facilitates cardiac rhythm and ST-segment measurement. Physician uses output to assess cardiac health and inform clinical decision-making. Benefits include continuous monitoring of ambulatory patients to detect cardiac abnormalities.
Clinical Evidence
Bench testing only. Compliance verified against IEC 60601-1, IEC 60601-1-2, ANSI/AAMI EC38, and ANSI/AAMI EC57 standards for safety, electromagnetic compatibility, and cardiac rhythm/ST-segment measurement algorithm performance.
Technological Characteristics
Ambulatory ECG system; 5 or 12-lead configuration; 24-hour recording capacity. PC-based analysis software. Connectivity via SD card reader. Standards: IEC 60601-1, IEC 60601-1-2, ANSI/AAMI EC38, ANSI/AAMI EC57. Time constant ≥3.2s; patient leak current <10μA; frequency response 0.05~40 Hz; CMRR >80dB.
Indications for Use
Indicated for patients requiring continuous ambulatory ECG monitoring for up to 24 hours using 5 or 12 leads. Intended for use in health facilities by trained physicians.
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.
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# Section 3 510(k) Summary
This 510(k) Summary of 510(k) safety and effectiveness information is being submitted in accordance with requirements of SMDA 1990 and Title 21, CFR Section 807.92.
The assigned 510(k) Number: K131897
- 1. Date of Submission: Jun 19, 2013
- in Sponsor Identification
Vales & Hills Biomedical Tech. Ltd Bldg 46-1 BDA International Business Park, 100176, Beijing, P.R. China
Establishment Registration Number: Not yet registered
Contact Person: Jianfang Liu Position: Quality Manager Tel: +86-10-51665548 Fax: +86-10-67856343 Email: liu@vhmedical.com
3. Submission Correspondent
> Ms. Diana Hong& Mr. Tarzan Wang Mid-Link Consulting Co., Ltd P.O. Box 120-119 Shanghai, 200120, China · Tel: +86-21-22815850 Fax: 240-238-7587 Email: info@mid-link.net
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#### 4. Proposed Device Identification
Proposed Device Name: CV3000 Holter Analysis System Proposed Device Common Name: Dynamic ECG System
Regulatory Information: Classification Name: Electrocardiograph, Ambulatory, With Analysis Algorithm Classification: II; Product Code: MLO Regulation Number: 21CFR 870.2800 Review Panel: Cardiovascular;
#### Intended Use Statement:
The proposed device is intended to continuously acquire ambulatory ECG data for up to twelve leads or five leads. It can record the ECG data for twenty four hours. The ECG data obtained will be stored in the recorder first and then download to PC for analysis, reviewing and printing by a trained physician in health facilities.
- 5. Predicate Device Identification
510(k) Number: K101273 Product Name: Dynamic ECG Systems, TLC5000 Manufacturer: CONTEC Medical System Co., Ltd
- Device Description 6.
The CV3000 Holter Analysis System is intended to continuously acquire ambulatory ECG data for up to twelve leads or five leads. It can record the ECG data for twenty four hours. The ECG data obtained will be stored in the recorder first and then download to PC for analysis, reviewing and printing by a trained physician in health facilities.
The CV3000 Holter Analysis System is consisting of Holter recorder and the PC-based CV3000 Analysis Software.
The Holter recorder is an ambulatory electrocardiograph designed to be used with the PC-based CV3000 Analysis Software. It is intended to acquire, record and store up to 24 hours of ECG data from the patient. It performs no cardiac analysis by itself and is intended to be used with the CV3000 analysis software. ECG data prerecorded by the Holter recorder is analyzed by the CV3000 analysis software.
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The main accessories contain disposable electrodes, cables, SD card reader and battery. The disposable electrodes and battery is not provided during marketing, the users need purchase disposable electrode/battery by themselves.
The collateral devices contain personal computer (PC) and printer.
7. Non-Clinical Test Conclusion
Non clinical tests were conducted to verify that the proposed device met all design specifications as was Substantially Equivalent (SE) to the predicate device. The test results demonstrated that the proposed device complies with the following standards:
IEC 60601-1:1988+A1:1993+A2:1995, Medical electrical equipment, Part 1: General requirements for safety.
IEC 60601-1-2:2007, Medical electrical equipment, Part 1-2: General requirements for basic safety and essential performance- Collateral standard: Electromagnetic compatibility- Requirements and teats.
ANSI/AAMI EC38:2007, Ambulatory electrocardiographs
ANSI/AAMI EC 57:1998(R) 2003, Testing and reporting performance results of cardiac rhythm and ST-segment measurement algorithms
- 8. Substantially Equivalent (SE) Conclusion
The following table compares the DEVICE to the predicate device with respect to intended use, technological characteristics and principles of operation, etc.
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| ITEM | Proposed Device | Predicate Device |
|----------------------|----------------------------------------|---------------------------|
| Product Code | MLO | Same |
| Regulation Number | 21 CFR 870.2800 | Same |
| Operation mode | Automatic | Same |
| Time constant | ≥3.2s | Same |
| Patient leak current | <10μA | Same |
| Frequency response | 0.05~40 Hz | Similar |
| Noise level | <50μV | Similar |
| CMRR | >80dB | Similar |
| Scan speed | 5 mm/mV,10 mm/mV, 20 mm/mV, error ±10% | Unknown |
| Measurement Function | Have measurement function | Have measurement function |
Table 3-1 Comparison of Technology Characteristics
The proposed device, CV3000 Holter Analysis System, is determined to be Substantially Equivalent (SE) to the predicate device, Dynamic ECG Systems, TLC5000 (K101273), in respect of safety and effectiveness.
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### DEPARTMENT OF HEALTH & HUMAN SERVICES
Image /page/4/Picture/1 description: The image shows the logo for the U.S. Department of Health & Human Services. The logo consists of a circular seal with the text "DEPARTMENT OF HEALTH & HUMAN SERVICES - USA" arranged around the perimeter. Inside the circle is a stylized symbol that resembles a human figure embracing or supporting another, represented by flowing, abstract lines.
#### Public Health Service
Food and Drug Administration 10903 New Hampshire Avenue Document Control Center - WO66-G609 Silver Spring, MD 20993-0002
November 26, 2013
Vales & Hills Biomedical Tech. Ltd. % Diana Hong General Manager Mid-Link Consulting Co., Ltd. P.O. Box 120-119 Shanghai, CH 200120
Re: K131897
> Trade/Device Name: Cv3000 Holter Analysis System Regulation Number: 21 CFR 870.2800 Regulation Name: Dynamic Ecg System Regulatory Class: Class II Product Code: MLO Dated: October 15, 2013 Received: October 24, 2013
Dear Diana Hong:
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.
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## Page 2 - Diana Hong
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 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" (21 CFR 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,
Owen=P.Earis -S
for
Bram D. Zuckerman, Ph.D. Director · Division of Cardiovascular Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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l
## Section 2 Indications for Use
510(k) Number: K131897 Device Name: CV3000 Holter Analysis System
Indications for Use:
The proposed device is intended to continuously acquire ambulatory ECG data for up to twelve leads or five leads. It can record the ECG data for twenty four hours. The ECG data obtained will be stored in the recorder first and then download to PC for analysis, reviewing and printing by a trained physician in health facilities.
�PRESCRIPTION USE (Part 21 CFR 801 Subpart D)
OR
OVER-THE-COUNTER USE (21 CFR 801 Subpart C)
(PLEASE DO NOT WRITE BELOW THIS LINE-CONTINUE ON ANOTHER PAGE OF NEEDED)
Concurrence of CDRH. Office of Device Evaluation (ODE)
Digitally signed by
Owen P. Faris -S
Date: 2013.11.26
15:51:01-05'00'
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Learn the FDA Browser
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.