Digital Electrocardiographs are intended to acquire ECG signals from adult and pediatric patients through body surface ECG electrodes. The obtained ECG records can help users to analyze and diagnose heart disease. Digital Electrocardiographs shall be used in healthcare facilities by doctors and/or trained healthcare professionals.
Device Story
Digital Electrocardiograph (models E30, E35, E40, E65, E70, E80) acquires electrical ECG signals from patient body surface via electrodes; signals amplified, filtered, and transferred; waveforms displayed on LCD and printed via thermal printer. Used in healthcare facilities by physicians or trained healthcare professionals to assist in heart disease diagnosis. Device components include chest/limb electrodes, cables, and batteries. Output provides visual ECG records for clinical review.
Clinical Evidence
Bench testing only. Compliance with IEC 60601-1 (safety), IEC 60601-1-2 (EMC), AAMI/ANSI EC11 (diagnostic ECG performance), and ISO 10993 (biocompatibility: cytotoxicity, irritation, sensitization) verified design specifications and substantial equivalence.
Technological Characteristics
Materials: ABS, Copper Alloy. Sensing: Body surface ECG electrodes. Energy: AC/DC power. Output: LCD display, thermal printer. Standards: IEC 60601-1, IEC 60601-1-2, AAMI/ANSI EC11, ISO 10993-5, ISO 10993-10. Non-sterile, reusable.
Indications for Use
Indicated for adult and pediatric patients requiring ECG signal acquisition for heart disease analysis and diagnosis. For use in healthcare facilities by doctors or trained healthcare professionals.
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.
{0}------------------------------------------------
Section 3 510 Summary
Project #: M0202013 A
# 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:
- 1. Date of Submission: 6/11/2013
- 2. Sponsor Identification
Guangdong Biolight Meditech Co., Ltd Innovation First Road, Technology Innovation Coast Zhuhai, Guangdong, 519085, China
Establishment Registration Number: 3007305624
Contact Person: Ms. Liang, Jing Position: R&D Director Tel: +86-756-3399967 Fax: +86-756-3399989 Email: liang_j@blt.com.cn
- 3. Submission Correspondent
Ms. Diana Hong & Mr. Lee Fu 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
{1}------------------------------------------------
### Premarket Notification 510(k) Submission
Project #: M0202013A
# 4. Proposed Device Identification
Proposed Device Name: Digital Electrocardiograph Models: E30, E35, E40, E65, E70 and E80 Proposed Device Common Name: Electrocardiograph
Regulatory Information: Classification Name: Electrocardiograph Classification: II; Product Code: DPS; Regulation Number: 21 CFR part 870.2340; Review Panel: Cardiovascular;
### Intended Use Statement:
Digital Electrocardiographs are intended to acquire ECG signals from adult and pediatric patients through body surface ECG electrodes. The obtained ECG records can help users to analyze and diagnose heart disease. Digital Electrocardiographs shall be used in healthcare facilities by doctors and/or trained healthcare professionals.
- 5. Predicate Device Identification
510(k) Number: K101876 Predicate Device Name: Digital Electrocardiographs Manufacturer: Shenzhen Biocare Electronics Co., Ltd
#### Device Description 6.
Digital Electrocardiographs, E30, E65, E70 and E80, are intended to acquire ECG signals from adult and pediatric patients through body surface ECG electrodes. The obtained ECG records can help users to analyze and diagnose heart disease. There is no specific contraindication identified for the proposed devices.
The proposed devices acquire ECG electrical signals from patient body surface by ECG electrodes. After been amplified, filtered and transferred, the ECG signal waveforms are displayed on the LCD and recorded on the paper through thermal printer.
The components of the proposed devices, Digital Electrocardiograph, include: (1) chest electrodes (2) limb electrodes, (3) cable and (4) Batteries;
3-2
{2}------------------------------------------------
# 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:
- ア IEC 60601-1, Medical Electrical Equipment - Part 1: General Requirements for Safety, 1988; Amendment 1, 1991-11, Amendment 2, 1995;
- > IEC 60601-1-2 Edition 3:2007-03, Medical electrical equipment - Part 1-2: General requirements for basic safety and essential performance - Collateral standard: Electromagnetic compatibility -Requirements and tests.
- > AAMI / ANSI EC11:1991/(R)2007, Diagnostic electrocardiographic devices.
- A ISO 10993-5:2009, Biological Evaluation of Medical Devices - Part 5: Test for in vitro cytotoxicity;
- > ISO 10993-10:2002/A2006, Biological Evaluation of Medical Devices - Part 10: Tests for irritation and delayed-type hypersensitivity;
- Substantially Equivalent (SE) Conclusion 8.
The following table compares the DEVICE to the predicate device with respect to intended use, technological characteristics and principles of operation, etc.
| Item | Proposed Device(s) | Predicate Device(s) |
|--------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Product Code | DPS | DPS |
| Regulation Number | 870.2340 | 870.2340 |
| Intended Use | Digital Electrocardiographs are<br>intended to acquire ECG signals<br>from adult and pediatric patients<br>through body surface ECG<br>electrodes. The obtained ECG<br>records can help users to analyze<br>and diagnose heart disease. Digital<br>Electrocardiographs shall be used<br>in healthcare facilities by doctors<br>and/or trained healthcare<br>professionals. | Digital Electrocardiographs,<br>ECG-1210 / ECG-1230 / ECG-3010<br>/ECG-6010, are intended to acquire<br>ECG signals from adult and<br>pediatric patients through body<br>surface ECG electrodes. The<br>obtained ECG records can help<br>users to analyze and diagnose heart<br>disease. Digital Electrocardiographs<br>shall be used in healthcare facilities<br>by doctors and/or trained healthcare<br>professionals. |
| Patient Contact Material | ABS / Cooper Alloy | ABS / Tin Alloy |
| Table 3-1 Comparison of Technology Characteristics | | |
|----------------------------------------------------|--|--|
| | | |
3-3
{3}------------------------------------------------
:
Section 3 510 Summary
Project #: M0202013 A
| Sterile | No | No |
|------------------|-----------------------------|-----------------------------|
| Single Use | No | No |
| Energy Source | AC Power / DC Power | AC Power / DC Power |
| Safety | IEC 60601-1 / IEC 60601-1-2 | IEC 60601-1 / IEC 60601-1-2 |
| Biocompatibility | Non-Cytotoxicity | Non-Cytotoxicity |
| | Non-Irritation | Non-Irritation |
| | Non-Sensitization | Non-Sensitization |
| Performance | AAMI EC11 | AAMI EC11 |
| Accessories | Limb Electrode | Limb Electrode |
| | Chest Electrode | Chest Electrode |
| | Battery | Battery |
The proposed devices, Digital Electrocardiographs, E30, E35, E70 and E80, are determined to be Substantially Equivalent (SE) to the predicate devices, Digital Electrocardiographs, ECG-120 / ECG-1230 / ECG-3010 /ECG-6010. .
.
.
.
{4}------------------------------------------------
# DEPARTMENT OF HEALTH & HUMAN SERVICES
Image /page/4/Picture/1 description: The image shows the seal for 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 symbol that resembles a stylized caduceus or a representation of human figures. The image is black and white.
Public Health Service
Food and Drug Administration 10903 New Hampshire Avenue Document Control Center - WO66-G609 Silver Spring, MD 20993-0002
June 11, 2014
Guangdong Biolight Meditech Co., Ltd. % Diana Hong Mid-Link Consulting Co., Ltd P.o. Box 120-119 Shanghai, 200120 CH
Re: K131858
> Trade/Device Name: Digital Electrocardiograph (E30, E35, E40, E65, E70, E80) Regulation Number: 21 CFR 870.2340 Regulation Name: Electrocardiograph Regulatory Class: Class II Product Code: DPS Dated: April 30, 2014 Received: May 5, 2014
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.
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
{5}------------------------------------------------
Page 2 - Diana Hong
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/ResourcesforYowIndustry/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/ResourcesforYou/Industry/default.htm.
Sincerely yours,
Image /page/5/Picture/8 description: The image shows a logo with the letters FDA. The letters are stylized and have a bold, geometric design. There are lines drawn through the logo, possibly indicating that it is not valid or has been rejected. The logo is in black and white.
for Bram D. Zuckerman, M.D. Director Division of Cardiovascular Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
{6}------------------------------------------------
K131858 Page 1 of 1
# Section 2 Indications for Use
510(k) Number: Device Name: Digital Electrocardiograph Models: E30, E35, E40, E65, E70 and E80
Indications for Use:
Digital Electrocardiographs are intended to acquire ECG signals from adult and pediatric through body surface ECG electrodes. The obtained ECG records can help users to analyze and disease. Digital Electrocardiographs shall be used in healthcare facilities by doctors and/or trained healthcare professionals.
| ☑PRESCRIPTION USE<br>(Part 21 CFR 801 Subpart D) | OR | ☐OVER-THE-COUNTER USE<br>(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)
Date
20.04.05.11
09.44.03 -04'00'
Page 1 of 1
2-1
Predicate graph will load when search results are available.
Embedding visualization will load when search results are available.
PDF viewer will load when search results are available.
Loading panels...
Select an item from Submissions
Click any panel, subpart, regulation, product code, or device to see details here.
Section Matches
Results will appear here.
Product Code Matches
Results will appear here.
Special Control Matches
Results will appear here.
Loading collections...
Loading
My Alerts
You will receive email notifications based on the filters and frequency you set for each alert.
Sort by:
Create Alert
Search Filters
Agent Token
Create a read-only bearer token for Claude, ChatGPT, or other agents that can call HTTP APIs.
Copy this now. It will not be shown again.
Connected apps
Apps you authorized through browser sign-in. Disconnecting revokes their access immediately.
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.