The Monica IF24 CTG Interface Device is an accessory to the Monica AN24 which provides a means of interfacing the wireless output of the Monica AN24 to the transducer inputs of a CTG Fetal monitor. The Monica IF24 CTG Interface Device enables signals collected by the Monica AN24 to be printed and displayed on a CTG Fetal Monitor and sent on to a central network, if connected. The device is intended for use by healthcare professionals in a clinical setting.
Device Story
The Monica IF24 CTG Interface Device acts as a bridge between the Monica AN24 fetal monitor and standard clinical CTG fetal monitors. It receives wireless digital signals (fetal heart rate and uterine activity) from the AN24 and converts them into analog signals compatible with standard CTG monitor transducer inputs. The device features a touchscreen for selecting monitors, calibration, and monitoring battery/Bluetooth status. It is used by healthcare professionals in clinical settings to allow data collected by the AN24 to be printed, displayed on existing hospital monitors, and transmitted to central networks. This integration facilitates continuous surveillance of fetal well-being during labor, enabling clinicians to view data on familiar hospital equipment and incorporate it into standard clinical workflows.
Clinical Evidence
Bench testing only. No clinical data presented. Testing included electrical safety (EN60601-1), EMC (EN60601-1-2, FCC CFR47), software validation (EN 62304), usability (IEC 62366), and biocompatibility (ISO10993). Performance bench testing demonstrated accurate receipt and transmission of data.
Technological Characteristics
Low-voltage interface device. Components: CPU, LCD, EEPROM, Flash memory, clock generator, Bluetooth RF transmitter. Connectivity: Wireless digital input from AN24, analog output to CTG monitors. Standards: EN60601-1 (electrical), EN60601-1-2/FCC CFR47 (EMC), EN 62304 (software), IEC 62366 (usability), ISO10993 (biocompatibility).
Indications for Use
Indicated for use by healthcare professionals in a clinical setting as an interface accessory for the Monica AN24 fetal monitor to enable printing, display, and network transmission of fetal heart rate and uterine activity data collected from laboring patients.
Regulatory Classification
Identification
An external uterine contraction monitor (i.e., the tokodynamometer) is a device used to monitor the progress of labor. It measures the duration, frequency, and relative pressure of uterine contractions with a transducer strapped to the maternal abdomen. This generic type of device may include an external pressure transducer, support straps, and other patient and equipment supports.
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AUG 3 0 2011
## 510(k) Summary
#### Monica IF24 CTG Interface Device
#### Submitters Name:
lan How Monica Healthcare Ltd Biocity Pennyfoot Street Nottingham NG1 1GF UK
Tel: +44 (0)115 912 4541 Email: ianhow@monicahealthcare.com
Name of Device: Monica IF24 CTG Interface Device
Manufactured by:
Monica Healthcare Ltd Biocity Pennyfoot Street Nottingham NG1 1GF UK
Date of Summary: 12 August 2011
Classification Name: 21. CFR 884.2740 System Monitoring Perinatal
Product Code: OSP
Secondary Product Code: HGM
Predicate Device: Monica AN24 (K101801) Philips Avalon CTS (K023931)
#### Reason for 510(K):
This 510(K) is to add the Monica IF24 Interface device as an accessory to the Monica AN24 Fetal Monitor previously granted market clearance under K101801
#### Device Description:
The Monica IF24 CTG Interface Device is an interface device that allows an AN24 to send data to a standard Fetal Monitor. The Monica AN24™ is a small, battery-powered device for L&D surveillance of fetal well-being. The AN24™ is designed to passively monitor Fetal Heart Rate (FHR) from the fetal electrocardiogram (fECG) and Uterine Activity (UA) from the Electrohysterogram (EHG) during pregnancy and can be used at any time from > 36 completed
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Image /page/1/Picture/0 description: The image shows the logo for "Monica Healthcare". The logo features the word "monica" in a bold, sans-serif font, with a stylized figure of a pregnant woman positioned between the 'n' and 'i' of the name. Below the name, the word "Healthcare" is written in a smaller, lighter font.
K112163
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weeks gestation in laboring patients. The AN24™ is suitable for singleton pregnancies only.
## Indications for Use:
The Monica IF24 CTG Interface Device is an accessory to the Monica AN24) which provides a means of interfacing the wireless output of the Monica AN24 to the transducer inputs of a CTG Fetal monitor. The Monica IF24 CTG Interface Device enables signals collected by the Monica AN24 to be printed and displayed on a CTG Fetal Monitor and sent on to a central network, if connected. The device is intended for use by healthcare professionals in a clinical setting.
## Technology Characteristics:
The Monica IF24 CTG Interface Device is a small, low-voltage device that receives the monitored parameters from the Monica AN24 Fetal Monitor and converts the wireless digital signal to analogue for inputting into a CTG Monitor. It has a touch screen for:
- · Selection of the appropriate CTG monitor
- · Calibration with the CTG Monitor
- · Display AN24 battery power
- · Display Bluetooth connectivity between the AN24 & IF24
The technological characteristics of the Monica IF24 CTG Interface Device are the same in design, material, principle of operation and energy source as the predicates.
Monica IF24 CTG Interface Device has the same technological The characteristics as the base station for the wireless transducers in the Philips Avalon (K023931) predicate device. Both technologies have the same principle of operation and energy source, including
- CPU (Microprocessor .
- . LCD
- Base station communication ●
- EEPROM .
- Flash memory .
- Clock generator .
- RF Transmitter (Bluetooth) ●
#### Non Clinical Test Summary
The Monica IF24 CTG Interface Device and Accessories comply with voluntary standards. The standards were employed in the following areas:
- Electrical Safety .
- . EMC
- Material Safety .
- Software Validation ●
- Usability
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Image /page/2/Picture/0 description: The image shows the logo for Monca Healthcare. The logo features the word "monca" in bold, black letters, with the "o" in "monca" replaced by a stylized image of a person. Below the word "monca" is the word "Healthcare" in a smaller, lighter font. The logo is simple and modern, and it conveys a sense of health and well-being.
K112163
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## Conclusion
The non clinical tests used voluntary standards to demonstrate that the Monica IF24 CTG Interface Device is as safe and effective in performance to the predicate device, the main standards employed were
- EN60601-1 electrical safety .
- EN60601-1-2 EMC ●
- FCC CFR47 EMC .
- EN 62304 Software ●
- IEC 62366 Usability .
- ISO10993 Biocompatibility .
- ISO13485 QMS .
The Monica IF24 CTG Interface Device has been subjected to the above non clinical tests combined with software validation and performance bench testing to demonstrate that the Monica IF24 CTG Interface Device accurately receives and transmits the correct data.
The conclusions drawn from the nonclinical tests, performance tests and the validation demonstrate that the Monica IF24 CTG Interface Device is substantially equivalent to the legally marketed predicate device.
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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 lines forming its body and wings. The eagle is positioned to the right of a circular emblem that contains the text "DEPARTMENT OF HEALTH & HUMAN SERVICES USA" arranged around the circumference.
Food and Drug Administration 10903 New Hampshire Avenue Document Mail Center - WO66-G609 Silver Spring, MD 20993-0002
Monica Healthcare % Mr. William Sammons Senior Project Engineer - Medical Devices Intertek Testing Services NA, Inc. 2307 East Aurora Road Unit B7 TWINSBURG OH 44087
AUG 3 0 2011
Re: K112163
> Trade/Device Name: Monica IF24 CTG Interface Device Regulation Number: 21 CFR§ 884.2720 Regulation Name: External uterine contraction monitor and accessories Regulatory Class: II Product Code: OSP, HGM Dated: August 17, 2011 Received: August 18, 2011
· Dear Mr. Sammons:
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 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 of medical device-related
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## Page 2
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 go to http://www.fda.gov/AboutFDA/CentersOffices/CDRH/CDRHOffices/ucm115809.htm for the Center for Devices and Radiological Health's (CDRH's) Office of Compliance. Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21CFR 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/Resourcesfor You/Industry/default.htm.
Sincerely yours.
Hubert Lemmer MD
Herbert P. Lerner, M.D., Director (Acting) Division of Reproductive, Gastro-Renal and Urological 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): K112163
Device Name: Monica IF24 CTG Interface Device
# Indications For Use:
The Monica IF24 CTG Interface Device is an accessory to the Monica AN24 which provides a means of interfacing the wireless output of the Monica AN24 to the transducer inputs of a CTG Fetal monitor. The Monica IF24 CTG Interface Device enables signals collected by the Monica AN24 to be printed and displayed on a CTG Fetal Monitor and sent on to a central network, if connected. The device is intended for use by healthcare professionals in a clinical setting.
Prescription Use ِ ( (Part 21 CFR 801 Subpart D) AND/OR
Over-The-Counter Use (21 CFR 801 Subpart C)
(PLEASE DO NOT WRITE BELOW THIS LINE-CONTINUE ON ANOTHER PAGE IF NEEDED)
| Concurrence of CDRH, Office of Device Evaluation (ODE) | |
|--------------------------------------------------------|--|
|--------------------------------------------------------|--|
Page 1 of 1
| (Division Sign-Off) | |
|----------------------------------------------------------------|---------|
| Division of Reproductive, Gastro-Renal, and Urological Devices | |
| 510(k) Number | K112163 |
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.