BRENTWOOD REAL TIME ST AND ARRHYTHMIA ANALYSIS SOFTWARE LIBRARY
K013717 · Brentwood Medical Technology Corp. · DPS · Feb 6, 2002 · Cardiovascular
Device Facts
Record ID
K013717
Device Name
BRENTWOOD REAL TIME ST AND ARRHYTHMIA ANALYSIS SOFTWARE LIBRARY
Applicant
Brentwood Medical Technology Corp.
Product Code
DPS · Cardiovascular
Decision Date
Feb 6, 2002
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 870.2340
Device Class
Class 2
Attributes
Software as a Medical Device, Pediatric
Indications for Use
The intended user of the Brentwood Real Time ST and Arrhythmia Analysis Software Library user is a medical device manufacturer who will integrate it into a computerized device that analyzes ECG signals captured from the human body surface. The library will provide the device with real time ECG signal processing, QRS detection, QRS complex feature extraction, ventricular ectopic beat detection, ST level measurement, rhythm calls, and ventricular fibrillation detection capabilities. The intended user is expected to label the device for use only by or under the supervision of a trained physician. The intended user is further assumed to have a quality system for developing and implementing software. The quality system should call for validating software, including the use of purchased software.
Device Story
Software object library; integrated by manufacturers into computerized cardiac monitoring devices. Inputs: up to 12 leads of captured body surface ECG signals. Processing: real-time signal processing; QRS detection; QRS complex feature extraction; ventricular ectopic beat detection; ST level measurement; rhythm analysis; ventricular fibrillation detection. Outputs: processed cardiac data/alarms for display on host device. Used in clinical settings where host device is deployed; operated by healthcare professionals. Output assists clinicians in cardiac monitoring and decision-making; enables patient monitoring for arrhythmias and ST segment changes.
Clinical Evidence
Bench testing only. Performance evaluated per ANSI/AAMI EC57:1998 using standard databases: AHA, MIT-BIH, NST, and ESC. Endpoints included accuracy of QRS detection, heart rate measurement, VEB detection, ventricular fibrillation detection, and ST segment analysis.
Technological Characteristics
ANSI Standard C (ISO/IEC 9899) callable functions; compiled object library. Designed for integration into host ECG analysis devices. Supports up to 12-lead ECG input. Software-based signal processing and analysis algorithms.
Indications for Use
Indicated for monitoring and detecting QRS complexes, non-paced ventricular ectopic beats, rhythm calls (asystole, bigeminy, couplets, irregular heart rate, pause/missed beat, VEB/minute, run, trigeminy, triplets, ventricular tachycardia), ST segment levels (adults only), and ventricular fibrillation from up to 12-lead body surface ECG in adult, pediatric, and neonatal patients.
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
ST/AR ST and Arrhythmia Software, Release D.0 (K003621)
Submission Summary (Full Text)
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# FEB 0 6 2002
This 510(k) Summary is prepared in accordance with 21 CFR 807.92.
## 1. BASIC INFORMATION
#### 1.1 SUBMITTER
| Name: | Brentwood Medical Technology Corp |
|-----------------|------------------------------------------|
| Address: | 3300 Fujita Street<br>Torrance, CA 90505 |
| Contact Person: | Ruomei Zhang, PhD |
| Phone Number: | (310) 530-5955 x7210 |
November 6, 2001 Preparation Date:
#### 1.2 DEVICE NAME
The name of the device is the Brentwood Real Time ST and Arrhythmia Analysis Software Library.
The classification name is "Arrhythmia detector and alarm".
The common/usual name is "Patient Monitor".
### 1.3 IDENTIFICATION OF LEGALLY MARKETED DEVICE
Substantial equivalence is claimed to a legally marketed device cleared under the name, "ST/AR ST and Arrhythmia Software, Release D.0". The registered manufacturer of the cleared device is Agilent Technologies, Inc. of Andover, MA, and the 510(k) number is K003621.
### 1.4 DEVICE DESCRIPTION
The Brentwood Real Time ST and Arrhythmia Analysis Software Library is an "object library'. An object library is a collection of callable functions that have been compiled (or assembled) into the native machine code of the computer on which they will execute. An application software program can be written to invoke some or all of the functions in an object library. The compiled (or assembled) application code can be "linked" to the called functions from an object library at the time the executable code image is built. An executable code image created in this manner will contain the application software code and all of the functions it invoked from the object library.
The Brentwood Real Time ST and Arrhythmia Analysis Software Library consists of a collection of ANSI Standard C (ISO/IEC 9899) callable functions. It provides real time ECG signal processing, QRS detection, QRS complex feature extraction, ventricular ectopic beat detection, ST level measurement, rhythm calls, and ventricular fibrillation detection capabilities for up to 12 leads of captured ECG lead data.
Brentwood will compile the Brentwood Real Time ST and Arrhythmia Analysis Software Library using the compiler specified by an ECG analysis device manufacturer. An object library will be created and delivered to the manufacturer, who can then integrate it into application software for their ECG analysis device(s).
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## 1.5 INTENDED USE
The intended user of the Brentwood Real Time ST and Arrhythmia Analysis Software Library user is a medical device manufacturer who will integrate it into a computerized device that analyzes ECG signals captured from the human body surface. The library will provide the device with real time ECG signal processing, QRS detection, QRS complex feature extraction, ventricular ectopic beat detection, ST level measurement, rhythm calls, and ventricular fibrillation detection capabilities. The intended user is expected to label the device for use only by or under the supervision of a trained physician. The intended user is further assumed to have a quality system for developing and implementing software. The quality system should call for validating software, including the use of purchased software.
## 1.6 COMPARISON TO CLEARED DEVICE
Both the Brentwood Real Time ST and Arrhythmia Analysis Software Library and the predicate are software only devices that monitor cardiac function. Table 1 compares the features of the Brentwood device to the predicate.
| Feature | Agilent | Brentwood |
|-----------------------------------------------------------------------------------------------|---------|-----------|
| heart rate determination for (paced and non-paced) adult,<br>pediatric, and neonatal patients | yes | yes |
| (non-paced) ventricular arrhythmia calls for adult, pediatric, and<br>neonatal patients | yes | yes |
| (non-paced) ST segment level measurement for adult patients | yes | yes |
| (non-paced) ventricular ectopic beat detection | yes | yes |
## Table 1: Comparison of Brentwood's ST/AR Library to Predicate Device
## 2. PERFORMANCE TESTING
The following testing was performed in accordance with ANSI/AAMI EC57:1998 to evaluate the performance of the Brentwood Real Time ST and Arrhythmia Analysis Software Library. Unless otherwise noted, all testing used the AHA, MIT-BIH, and NST standard databases:
- . accuracy of ORS detection.
- accuracy of heart rate measurement, ●
- accuracy of VEB detection,
- ventricular fibrillation (also CU database), .
- . ST segment analysis (ESC database only)
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Image /page/2/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" around the perimeter. Inside the circle is a stylized image of a human figure with three lines extending from the head, resembling a bird in flight.
Food and Drug Administration 9200 Corporate Boulevard Rockville MD 20850
# FEB 0 6 2002
Ruomei Zhang, Ph.D. Chief Technical Officer Brentwood Medical Technology Corp. 3300 Fujita Street Torrance, CA 90505
Re: K013717
Trade Name: Brentwood Real Time ST and Arrhythmia Analysis Software Library (ST/AR Library) Regulation Number: 21 CFR 870.2340 Regulation Name: Electrocardiograph Regulatory Class: Class II (two) Product Code: DPS Dated: November 6, 2001 Received: November 8, 2001
Dear Dr. Zhang:
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.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to such 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 - Ruomei Zhang, Ph.D.
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 or any I with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 801); good manufacturing practice requirements as set Of A rat 007); accems (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.
This letter will allow you to begin marketing your device as described in your Section 510(k) I mis lotter will and in yourse FDA finding of substantial equivalence of your device to a legally marketed predicate device results in a classification for your device and thus, permits your device to proceed to the market.
If you desire specific advice for your device on our labeling regulation (21 CFR Part 801 and additionally 21 CFR Part 809.10 for in vitro diagnostic devices), please contact the Office of Compliance at (301) 594-4646. Additionally, for questions on the promotion and advertising of your device, please contact the Office of Compliance at (301) 594-4639. Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21CFR Part 807.97). Other general information on your responsibilities under the Act may be obtained from the O intor goneral into.itamos turers, International and Consumer Assistance at its toll-free number (800) 638-2041 or (301) 443-6597 or at its Internet address http://www.fda.gov/cdrh/dsma/dsmamain.html
Sincerely yours,
Deatull
am D. Zuci л В kerman. M.D Acting Director Division of Cardiovascular and Respiratory Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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# Indications for Use Statement
510 (k) Number (if known)
K013717
Brentwood Real-Time ST and Arrhythmia Analysis Software Library Device Name (referred to as the ST/AR Library).
Indications for Use
The intended user is a medical device manufacturer who will integrate the ST/AR Library into a computerized cardiac monitoring device. The BT71X Blorary integrator will ultimately identify the indications for use, depending on the nature of their device.
The analysis capabilities of the ST/AR Library are indicated for monitoring and detecting the following from up to 12 body surface ECG leads for adult, pediatric, or neonatal patients:
- QRS detection .
- ventricular ectopic beat detection (non-paced only) .
- rhythm call analysis, including asystole, bigeminy, couplets, . irregular heart rate, pause or missed beat, VEB/minute, run, trigeminy, triplets, ventricular tachycardia
- ST segment level measurement (adult patients only) .
- ventricular fibrillation detection .
PLEASE DO NOT WRITE BELOW THIS LINE - CONTINUE TO ANOTHER PAGE IF NEEDED
Concurrence of CDRH, Office of Device Evaluation (ODE)
Division of Cardiovascular & Respiratory Devices
510(k) Number K013717
Prescription Use
(Per 21 CFR 801.109)
Over-The-Counter Use
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.