PHILIPS PAGEWRITER TOUCH CARDIOGRAPH, MODEL M5000A SERIES
K020708 · Philips Medical Systems, Inc. · DPS · Apr 25, 2002 · Cardiovascular
Device Facts
Record ID
K020708
Device Name
PHILIPS PAGEWRITER TOUCH CARDIOGRAPH, MODEL M5000A SERIES
Applicant
Philips Medical Systems, Inc.
Product Code
DPS · Cardiovascular
Decision Date
Apr 25, 2002
Decision
SESE
Submission Type
Abbreviated
Regulation
21 CFR 870.2340
Device Class
Class 2
Attributes
Pediatric, 3rd-Party Reviewed
Indications for Use
To acquire multi-channel ECG signals from adult and pediatric patients from body surface ECG electrodes and to record, display, analyze and store these ECG signals for review by the user. To be used in healthcare facilities by trained healthcare professionals. Analysis of the ECG signals is accomplished with algorithms that provide measurements, data presentations, graphical presentations and interpretations for review by the user. The interpreted ECG with measurements and interpretive statements is offered to the clinician on an advisory basis only. It is to be used in conjunction with the clinician's knowledge of the patient, the results of the physical examination, the ECG tracings, and other clinical findings. A qualified physician is asked to overread and validate (or change) the computer generated ECG interpretation.
Device Story
M5000A Series Cardiograph acquires multi-channel ECG signals via body surface electrodes; processes signals using 12-LDx interpretive algorithm to provide measurements, graphical presentations, and interpretations. Used in healthcare facilities by trained professionals; device includes digital acquisition module, LCD display, rechargeable battery, thermal printer, and optional barcode/magnetic card readers. Output provided on standard page or display for clinician review; serves as advisory tool for clinical decision-making. Requires qualified physician to overread and validate computer-generated interpretations. Benefits include rapid data entry and clear ECG visualization to support diagnostic workflows.
Clinical Evidence
Bench testing only. Performance, functionality, and reliability verified through testing to AAMI EC11, IEC 60601-1, UL 2601.1, IEC 60601-2-25, and IEC 60601-1-2 standards.
Technological Characteristics
Electrocardiograph featuring digital patient acquisition module, thermal printer, LCD display, and rechargeable battery. Connectivity includes optional barcode scanner or magnetic card strip reader. Software includes 12-LDx interpretive algorithm for ECG analysis. Complies with AAMI EC11, IEC 60601-1, UL 2601.1, IEC 60601-2-25, and IEC 60601-1-2.
Indications for Use
Indicated for adult and pediatric patients when a clinician evaluates an electrocardiogram to assist in diagnosis, potential treatment, treatment effectiveness, or to rule-out causes for symptoms.
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.
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# APR 2 5 2002
# 510(k) Summary of Safety and Effectiveness
for
# Philips Medical Systems M5000A Series Cardiograph
| | 1. DATE SUMMARY PREPARED | January 23rd, 2002 |
|--|--------------------------|--------------------|
|--|--------------------------|--------------------|
## 2. SUBMITTER'S NAME AND ADDRESS
Philips Medical Systems Cardiac and Monitoring Systems 3000 Minuteman Road Andover, MA 01810-1099
- 3. CONTACT PERSON
Mr. Songhua Zhang Regulatory Affairs Engineer Telephone: (978) 659-7319 Facsimile: (978) 659-7360
- 4. DEVICE NAME
Proprietary (trade) Name: M5000A Series Cardiograph Common Name: Electrocardiograph Electrocardiograph, CFR 870.2340 Classification Name: 74DPS Product Code: Class: II Panel: Cardiovascular / Circulatory System Devices Panel (74)
- The legally marketed devices to which equivalence is being 5. PREDICATE DEVICE claimed is the M1700A Cardiograph manufactured by Philips Medical Systems (formerly Healthcare Solutions Group of Hewlett-Packard Co.) - K895520
## 6. DEVICE DESCRIPTION
The M5000A Series Cardiograph is Philips Medical Systems' cardiograph offering a full complement of features, for both adult and pediatric patients.
The Cardiograph offers increased speed and ease-of-use for patient data entry. The device also consists of a digital patient acquisition module, LCD display and rechargeable battery, thermal printer, optional barcode scanner or magnetic card strip reader.
The Cardiograph provides crisp, easy-to-read ECGs on a standard page. Records are clearly labeled with ECG data and patient information.
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## 7. INTENDED USE
### M5000 Series Cardiograph:
### Intended Use
To acquire multi-channel ECG signals from adult and pediatric patients from body surface ECG electrodes and to record, display, analyze and store these ECG signals for review by the user. To be used in healthcare facilities by trained healthcare professionals. Analysis of the ECG signals is accomplished with algorithms that provide measurements, data presentations, graphical presentations and interpretations for review by the user.
The interpreted ECG with measurements and interpretive statements is offered to the clinician on an advisory basis only. It is to be used in conjunction with the clinician's knowledge of the patient, the results of the physical examination, the ECG tracings, and other clinical findings. A qualified physician is asked to overread and validate (or change) the computer generated ECG interpretation.
### Indications for Use
Where the clinician decides to evaluate the electrocardiogram of adult and pediatric patients as part of decisions regarding possible diagnosis, potential treatment, effectiveness of treatment or to rule-out causes for symptoms.
### 12-LDx Interpretive Algorithm:
### Intended Use
To analyze multi-channel ECG signals from adult and pediatric patients with algorithms that provide measurements, data presentations, graphical presentations and interpretations for review by the user.
The interpreted ECG with measurements and interpretive statements is offered to the clinician on an advisory basis only. It is to be used in conjunction with the clinician's knowledge of the patient, the results of the physical examination, the ECG tracings, and other clinical findings. A qualified physician is asked to overread and validate (or change) the computer generated ECG interpretation.
### Indications for Use
Where the clinician decides to evaluate the electrocardiogram of adult and pediatric patients as part of decisions regarding possible diagnosis, potential treatment, effectiveness of treatment or to rule-out causes for symptoms.
## 8. COMPARISON OF TECHNOLOGICAL CHARACTERISTICS
The M5000A Series Cardiograph has the similar cardiograph characteristics as the
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predicate M1700A PageWriter Xli Cardiograph. For example, they both contain the same ECG measurements, adult and pediatric analysis programs, software filtering algorithm, ECG basic controls and both have the similar standardization, DC offset sensitivity, time base and accuracy stability, bandwidth, input dynamic range, storage of recorded signals. The M5000A Series Cardiograph has similar hardware design as the predicate M1700A Cardiograph, they both have thermal ECG printer, digital patient acquisition module, rechargeable battery, and LCD display.
The technological differences do not affect the safety or effectiveness of the device. Any safety issues that may be raised by the new device are addressed in the device's risk analysis and the device verification and validation activities.
# 9. NON-CLINICAL TESTS USED IN DETERMINATION OF SUBSTANTIAL EQUIVALENCE
The substantial equivalence of the M5000A Series Cardiograph is demonstrated by the following non-clinical testing:
- Testing to applicable standards: AAMI EC11, IEC 60601-1, UL 2601.1, IEC i 60601-2-25, IEC 60601-1-2
- The performance, functionality, and reliability characteristics of the device and ■ algorithm software testing follow established test procedures and quality system.
### 10. CONCLUSIONS FROM NON-CLINICAL TESTING
Prior to marketing in the US, M5000A will have completed the testing listed above with acceptable results, demonstrating substantial equivalence.
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## DEPARTMENT OF HEALTH & HUMAN SERVICES
Image /page/3/Picture/1 description: The image shows the logo for the U.S. Department of Health & Human Services. The logo consists of a stylized eagle with three stripes forming its body and wing. The eagle is facing left. The text "DEPARTMENT OF HEALTH & HUMAN SERVICES - USA" is arranged in a circular fashion around the eagle.
Public Health Service
Food and Drug Administration 9200 Corporate Boulevard Rockville MD 20850
APR 2 5 2002
Philips Medical Systems, Inc. c/o Mr. Ned E. Devine Program Manager III Entela, Inc. 3033 Madison Avenue SE Grand Rapids, MI 49548
Re: K020708
Trade Name: M5000A Series Cardiograph Regulation Number: 21 CFR 870.2340 Regulation Name: Electrocardiograph Regulatory Class: Class II (two) Product Code: DPS Dated: April 8, 2002 Received: April 10, 2002
## Dear Mr. Devine:
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 - Mr. Ned E. Devine
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); 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.
This letter will allow you to begin marketing your device as described in your Section 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 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 Division of Small Manufacturers, 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,
V
Donna-Bea Tillman, Ph.D. Acting 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: M5000A Series Cardiograph
# M5000A Series Cardiograph
### Intended Use
To acquire multi-channel ECG signals from adult and pediatric patients from body surface ECG electrodes and to record, display, analyze and store these ECG signals for review by the user. To be used in healthcare facilities by trained healthcare professionals. Analysis of the ECG signals is accomplished with algorithms that provide measurements, data presentations, graphical presentations and interpretations for review by the user.
The interpreted ECG with measurements and interpretive statements is offered to the clinician on It is to be used in conjunction with the clinician's knowledge of the an advisory basis only. patient, the results of the physical examination, the ECG tracings, and other clinical findings. A qualified physician is asked to overread and validate (or change) the computer generated ECG interpretation.
### Indications for Use
Where the clinician decides to evaluate the electrocardiogram of adult and pediatric patients as part of decisions regarding possible diagnosis, potential treatment, effectiveness of treatment or to rule-out causes for symptoms.
## 12-LDx Interpretive Algorithm
### Intended Use
To analyze multi-channel ECG signals from adult and pediatric patients with algorithms that provide measurements, data presentations, graphical presentations and interpretations for review by the user.
The interpreted ECG with measurements and interpretive statements is offered to the clinician on an advisory basis only. It is to be used in conjunction with the clinician's knowledge of the patient, the results of the physical examination, the ECG tracings, and other clinical findings. A qualified physician is asked to overread and validate (or change) the computer generated ECG interpretation.
### Indications for Use
Where the clinician decides to evaluate the electrocardiogram of adult and pediatric patients as part of decisions regarding possible diagnosis, potential treatment, effectiveness of treatment or to rule-out causes for symptoms.
(PLEASE DO NOT WRITE BELOW THIS LINE - CONTINUE ON ANOTHER PAGE IF NECESSARY)
Concurrence of CDRH, Office of Device Evaluation (ODE)
| Prescription Use<br>(Per 21 CFR 801.109) | <div style="text-align:left;"><img alt="checked" src="checkbox.png"/></div> |
|------------------------------------------|-----------------------------------------------------------------------------|
| OR Over-The-Counter Use | |
Division of Cardiovascular & Respiratory Devices
| Indications for Use Statement 510(k) Number | K200708 |
|---------------------------------------------|---------|
|---------------------------------------------|---------|
APPENDIX H-1
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.