K004017 · Mortara Instrument, Inc. · MLO · Jun 11, 2001 · Cardiovascular
Device Facts
Record ID
K004017
Device Name
H-SCRIBE
Applicant
Mortara Instrument, Inc.
Product Code
MLO · Cardiovascular
Decision Date
Jun 11, 2001
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 870.2800
Device Class
Class 2
Attributes
Software as a Medical Device, Pediatric
Indications for Use
The H-Scribe Holter system is intended to acquire, automatically analyze, edit, review, report and store prerecorded ECG data of patients that have been connected to the Mortara H-12 digital recorder or to other compatible tape or digital recorders. The cardiac data and analysis provided by H-Scribe Holter system is reviewed, confirmed, and used by trained medical personnel in the diagnosis of patients with various cardiac rhythm patterns.
Device Story
H-Scribe is a PC-based Holter analysis system running on Windows 98. It processes prerecorded ECG data from the Mortara H-12 recorder or compatible digital/tape recorders. The system performs three-channel full disclosure arrhythmia analysis and 12-lead ST segment analysis. It automatically detects arrhythmia and ST events, generating summary tables, trends, and reports. Used in clinical settings by trained medical personnel to assist in diagnosing cardiac rhythm patterns. Features include DVD-RAM for archival, modem for remote support, and network connectivity for integration with Hospital Information Systems. Healthcare providers review and confirm automated findings to support clinical decision-making and patient diagnosis.
Clinical Evidence
No clinical data provided; bench testing only.
Technological Characteristics
PC-based diagnostic software running on Windows 98. Inputs: prerecorded ECG data from digital/tape recorders. Outputs: arrhythmia/ST event reports, trends, summary tables. Connectivity: network card for HIS integration, modem for remote support. Storage: DVD-RAM. Analysis: automated detection of cardiac indices.
Indications for Use
Indicated for clinical use by qualified medical professionals for patients requiring 24-48 hour ambulatory (Holter) monitoring. Includes evaluation of adult patients with rhythm disturbances, arrhythmia symptoms, ST segment changes, or pacemakers; reporting of time domain heart rate variability; and infant patient evaluation limited to QRS detection.
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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004017
## 510(k) Summary
## Submitter:
Harlan Van Matre, Manager of Quality Assurance / Regulatory Affairs Mortara Instrument. Inc. 7865 N. 86" Street Milwaukee, WI 53224 Fax: (414) 354-4760 Phone: (414) 354-1600 Contact: Harlan Van Matre (see above)
Trade Name: H-Scribe Common Name: Holter Analysis System Classification Name: Programmable Diagnostic Computer (Per 21 CFR 870.1425)
Legally marketed devices to which S.E. is claimed
Cardiodata MK5 Holter Analvsis System - 510(k) K900607 Zymed Holter Scanner, Model 2010 Plus - 510(k) K 955015
#### Description:
The H-Scribe Holter Analysis system is a PC based diagnostic tool consisting of a Holter analysis software application running on a commercial PC using Windows 98 operating system. Designed in conjunction with the Mortara H-12 Holter recorder, the H-Scribe analyzes prerecorded patient's ECG data that has been stored by the H-12 recorder, or other compatible tape or digital recorders. The system provides three channels of full disclosure for arrhythmia analysis and 12-lead ST segment analysis. The software automatically detects arrhythmia and ST events, and creates summary tables, trends and a final report regarding a variety of cardiac data indices. The cardiac data provided by H-Scribe is used by trained medical personnel to assist in the diagnosis of patients with various rhythm patterns.
System features and options include a DVD RAM drive provided for long term archival of full disclosure recordings on DVD disks, an included modem for remote technical support, a network card for remote printing and data transfer, and networking capability allowing interface to Hospital Information Systems, through standard protocols.
#### Intended use:
The H-Scribe Holter system is intended to acquire, automatically analyze, edit, review, report and store prerecorded ECG data of patients that have been connected to the Mortara H-12 digital recorder or to other compatible tape or digital recorders. The cardiac data and analysis provided by H-Scribe Holter system is reviewed, confirmed, and used by trained medical personnel in the diagnosis of patients with various cardiac rhythm patterns.
#### Indications for use:
The H-Scribe Holter system is intended for use in a clinical setting, by qualified medical professionals, for patients requiring ambulatory (Holter) monitoring of 24 - 48 hours. Such monitoring is most frequently used for the purpose of prospective and retrospective cardiac data and arrhythmia analysis. The analysis software package includes, among others, detection and reporting features appropriate to the indications below:
- Evaluation of adult patients with symptoms related to rhythm disturbances or symptoms suggesting . arrhythmia.
- . Evaluation of adult patients for ST segment changes
- . Evaluation of adult patients with pacemakers
- . Reporting of time domain heart rate variability
- Infant patient evaluation is limited to QRS .
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Image /page/1/Picture/1 description: The image shows the logo for the U.S. Department of Health & Human Services. The logo consists of a circular arrangement of text that reads "DEPARTMENT OF HEALTH & HUMAN SERVICES • USA". Inside the circle is a symbol of three stylized human profiles facing to the right, with flowing lines connecting them. The profiles are silhouetted in black against a white background.
Food and Drug Administration 9200 Corporate Boulevard Rockville MD 20850
JUN 1 1 2001
Mr. Harlan Van Matre Mortara Instrument, Inc. 7865 North 86th Street Milwaukee, WI 53224
Re: K004017
Trade Name: Mortara H-Scribe Holter Analysis System Regulation Number: 870.2800 Regulatory Class: II (two) Product Code: 74 MLO Dated: March 6, 2001 Received: March 7, 2001
Dear Mr. Van Matre:
We have reviewed your Section 510(k) notification of intent to market the device referenced we have teviewed your becally be is substantially equivalent (for the indications for use above and we nave actored to legally marketed predicate devices marketed in interstate commerce stated in the encrosure) to legally interest of the Medical Device Amendments, or to devices that prior to may 20, 1978, a.accordance with the provisions of the Federal Food, Drug, and Cosmetic Act (Act). You may, therefore, market the device, subject to the general controls Cosment Act (11ct). " ou may, accessors) s provisions of the Act include requirements for annual provisions of the Fee. "The Free - Proctice, labeling, and prohibitions against misbranding and adulteration.
If your device is classified (see above) into either class II (Special Controls) or class III (Premarket Approval), it may be subject to such additional controls. Existing major regulations (1 centuries in be found in the Code of Federal Regulations, Title 21, Parts 800 to 895. A substantially equivalent determination assumes compliance with the Current Good Manufacturing Practice requirements, as set forth in the Quality System Regulation (QS) for Medical Devices: General regulation (21 CFR Part 820) and that, through periodic QS inspections, the Food and Drug Administration (FDA) will verify such assumptions. Failure to mspections, the Food and Dation may result in regulatory action. In addition, FDA may publish compy while and Concerning your device in the Federal Register. Please note: this response to your premarket notification submission does not affect any obligation you might
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Page 2 - Mr. Harlan Van Matre
have under sections 531 through 542 of the Act for devices under the Electronic Product Radiation Control provisions, or other Federal laws or regulations.
This letter will allow you to begin marketing your device as described in your 510(k) premarket notification. The 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 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 807.97). Other general information on your responsibilities under the Act may be obtained from the Division of Small Manufacturers 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,
h
James E. Dillard III Director Division of Cardiovascular and Respiratory Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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### 510(k) Number (if known):_
#### Device Name:
# Mortara H-Scribe Holter Analysis System
The H-Scribe Holter system is intended to acquire, automatically analyze, edit, review, report and store prerecorded ECG data of patients that have been connected to the 10port and other alrest or to other compatible tape or digital recorders. The cardiac Mortard PTE anglian Fooded by H-Scribe Holter system is reviewed, confirmed, and used by trained medical personnel in the diagnosis of patients with various cardiac rhythm patterns.
K004017
The H-Scribe Holter system is indicated for use in a clinical setting, by qualified medical professionals only, for patients requiring ambulatory (Holter) monitoring of 24 - 48 hours. professionals only, for pations ntq uned for the purpose of prospective and retrospective cardiac data and arrhythmia analysis. The analysis software package includes, among others, detection and reporting features appropriate to the indications below:
- Evaluation of adult patients with symptoms related to rhythm disturbances or . symptoms suggesting arrhythmia
- Evaluation of adult patients for ST segment changes .
- Evaluation of adult patients with pacemakers .
- Reporting of time domain heart rate variability .
- Evaluation of infant patients limited to QRS detection only .
## (PLEASE DO NOT WRITE BELOW THIS LINE - CONTINUE ON ANOTHER PAGE IF NEEDED)
Concurrence of CDRH, Office of Device Evaluation (ODE)
| Prescription Use (Per 21CFR801.109) | ✓ |
|-------------------------------------|---|
|-------------------------------------|---|
OR
| Over-The-Counter Use (Optional Format 1-2-96) | |
|-----------------------------------------------|--|
|-----------------------------------------------|--|
Division of Cardiovascular & Respiratory Devices
| 510(k) Number | K004017 |
|---------------|---------|
|---------------|---------|
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.