M1730B TRACEMASTER ECG SYSTEM, M1766B LOCAL EDIT STATION, M1798B REMOTE EDIT STATION
Applicant
Hewlett-Packard Co.
Product Code
DSH · Cardiovascular
Decision Date
Feb 19, 1998
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 870.2800
Device Class
Class 2
Attributes
Software as a Medical Device
Indications for Use
The M1730B TraceMaster ECG System is a computer system which allows viewing, manual editing, printing and archiving of digitized electrocardiograph records from Hewlett-Packard Company electrocardiograph machines.
Device Story
M1730B TraceMaster is a PC-based ECG data management system; automates processing, storage, and retrieval of ECGs from HP PageWriter cardiographs. Inputs include digitized ECG data transferred via LAN or floppy diskette. System features multitasking OS; supports client/server network architecture with Local and Remote Edit Stations. Users (clinicians) view ECGs, compare current waveforms to previous records, and manually overread/edit interpretations originally performed by the cardiograph. Output includes permanent hard-copy traces via HP LaserJet printers and archived digital records. System facilitates clinical decision-making by providing organized access to patient ECG history and enabling manual verification of automated interpretations. Benefits include streamlined ECG workflow, centralized storage, and efficient data management across clinical environments.
Clinical Evidence
Bench testing only. Electromagnetic compatibility testing performed per IEC 801-2, IEC 801-3, and IEC 801-4. Emissions testing conducted per CISPR22:1993, class A. System validation confirmed device meets all requirement specifications.
Technological Characteristics
PC-based system; Pentium processor; high-speed online storage. Connectivity via LAN, modem, or floppy diskette. Supports HP LaserJet printers. Operates on commercial OS and networking software. Electromagnetic compatibility per IEC 801-2/3/4 and CISPR22:1993.
Indications for Use
Indicated for use by clinicians to view, manually edit, print, and archive digitized ECG records obtained from Hewlett-Packard electrocardiograph machines. Prescription use only.
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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H474420
510(k) Summary for
M1730B TraceMaster ECG System
FEB 19 1998
1. Date this summary was prepared: November 20, 1997
2. Submitter's Name and Address
Hewlett-Packard Company
3000 Minuteman Road
Andover, MA 01810-1099
3. Contact Person
Mr. George Diller
Telephone (978)659-4971
Telefax (978)659-3168
4. Device Name
Proprietary Name: M1730B TraceMaster ECG System
M1766B Local Edit Station
M1798B Remote Edit Station
Common Name: ECG Management System
Classification Name: unknown
5. Predicate Devices
The legally marketed device to which equivalence is being claimed is the Muse 5000 System manufactured by Marquette Electronics, Inc. (K840932). The design of TraceMaster is substantially equivalent in safety and performance to a subset of the Muse 5000 features, with the important exception that TraceMaster does not perform any computerized interpretation of the ECG waveform.
M1730B TraceMaster ECG System 510(k)
11/20/97
Page D-1
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# 6. Device Description
The HP M1730B TraceMaster is an advanced data management system that automates the processing and storage of ECGs from HP PageWriter cardiographs. Its high-performance Pentium™ computer stores up to 750,000 ECGs on high-speed, online disks and produces clean, permanent traces on a HP LaserJet printer. The multitasking operating system smoothly handles the rigorous demands of simultaneous editing, printing, reception, and storage of ECGs. A powerful client/server network can spread the workload of editing, transmitting, and printing to M1776B Local Edit Stations, LAN-connected HP LaserJet printers, and M1798B Remote Edit Stations.
Electrocardiograms can be transferred from HP electrocardiographs to the TraceMaster via the Local Area Network or floppy diskettes. On the Edit Stations users can then view the ECG and the interpretation performed by the electrocardiograph, compare to previous waveforms and interpretations, and overread and edit the interpretation. Remote Edit Stations can be connected via the Local Area Network or modem.
# 7. Intended Use
The M1730B TraceMaster ECG System is a computer system which allows viewing, manual editing, printing and archiving of digitized electrocardiograph records from Hewlett-Packard Company electrocardiograph machines.
# 8. Comparison of Technological Characteristics
The M1730B TraceMaster ECG System and the Muse 5000 both are PC bases systems utilizing commercial operating systems and networking software. They have similar geometry and construction.
The TraceMaster can handle a throughput of up to 56,000 ECGs per year, while the Muse 5000 can handle at least 30,000. The TraceMaster can store 750,000 ECGs on-line, while the Muse 5000 can store up to 1.1 million. Both offer viewing and editing on a video screen, hard copy printouts, and connection to the electrocardiograph via direct connect, removable diskette, or modem. Both systems feature a serial comparison function which shows waveform differences between successive ECGs.
An important difference is that TraceMaster does not perform any computerized interpretation of the ECG waveform.
M1730B TraceMaster ECG System 510(k)
11/20/97
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9. Nonclinical Tests Used in Determination of Substantial Equivalence
The M1730B TraceMaster ECG System was tested for Electromagnetic Compatibility. Immunity tests included IEC 801-2, IEC 801-3, and IEC801-4.
Emissions were tested to measure the emission of radio-frequency electromagnetic fields and conducted RFI on the mains in accordance with CISPR22:1993, class A.
The essential functions of the M1730B TraceMaster ECG System have been validated in extensive system testing and was found to meet all requirements specifications.
10. Conclusions From Nonclinical Testing
The testing of the M1730B TraceMaster ECG System demonstrates that the performance is substantially equivalent to a subset of the features in the predicate device.
M1730B TraceMaster ECG System 510(k)
11/20/97
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DEPARTMENT OF HEALTH & HUMAN SERVICES
Public Health Service
Food and Drug Administration
9200 Corporate Boulevard
Rockville MD 20856
Mr. Steven A. Clarke
Staff Consultant
Medical Device Consultants, Inc.
49 Plain Street
North Attleboro, MA 02760
Re: K974420
Trade Name: M1730 TraceMaster ECG System
Regulatory Class: II (two)
Product Code: 74 DSH
Dated: November 20, 1997
Received: November 24, 1997
Dear Mr. Clarke:
We have reviewed your Section 510(k) notification of intent to market the device referenced above and we have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to 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). 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 (Premarket Approval), 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 895. A substantially equivalent determination assumes compliance with the Good Manufacturing Practice for Medical Devices: General (GMP) regulation (21 CFR Part 820) and that, through periodic GMP inspections, the Food and Drug Administration (FDA) will verify such assumptions. Failure to comply with the GMP regulation may result in regulatory action. In addition, FDA may publish further announcements concerning your device in the Federal Register. Please note: this response to your premarket notification submission does not affect any obligation you might have under sections 531 through 542 of the Act for devices under the Electronic Product Radiation Control provisions, or other Federal laws or regulations.
FEB 19 1998
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Page 2 - Mr. Steven A. Clarke
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) 594-4648. 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" (21 CFR 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/dsmamain.html".
Sincerely yours,
Thomas J. Callahan, Ph.D.
Director
Division of Cardiovascular, Respiratory, and Neurological Devices
Office of Device Evaluation
Center for Devices and Radiological Health
Enclosure
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Page 1 of 1
510(k) Number: K974420
Device Name: Mi730 TraceMaster ECG Systeml
Indications For Use:
The M1730B TraceMaster ECG System is a computer system which allows viewing, manual editing, printing, and archiving of digitized electrocardiograph records from Hewlett-Packard company electrocardiograph machines.
(PLEASE DO NOT WRITE BELOW THIS LINE-CONTINUE ON ANOTHER PAGE IF NEEDED)
Concurrence of CDRH, Office of Device Evaluation (ODE)

Prescription Use ☑ (Per 21 CFR 801.109)
OR
Over-The-Counter Use ☐ (Optional Format 1-2-96)
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.