The CSF-4 is intended to record, store, transfer, and display single-channel electrocardiogram (ECG) rhythms. The ECG signal is for quality checks of the data and for manual interpretation of heart rate. The CSF-4 also measures, records and displays pulse rate. The CSF-4 is also indicated for use in measuring and displaying functional oxygen saturation of arterial hemoglobin (SpO2). The CSF-4 is for adult patients and health-conscious individuals in hospitals, clinics, long-term care facilities, and homes. The CSF-4 is a prescription device and should be used under the care of a physician. CSF-4 does not provide any alarms. It is not intended for pediatric use or use in critical care settings. The device is not intended to provide outputs during periods of motion.
Device Story
CSF-4 is a wearable, single-patient use wrist-worn monitor (CS Watch 3) that collects intermittent physiological data. It utilizes non-invasive sensors to capture single-channel ECG and PPG signals. The device processes data via internal firmware, stores it in nonvolatile memory, and transmits it via BLE to a mobile application (Android/iOS). The mobile app acts as a gateway, caching data and forwarding it to a cloud application for secure storage and report generation. Physicians and patients access results through the mobile app or periodic reports generated by the cloud system. The device provides no alarms and is intended for use when the patient is at rest (no motion). It assists clinicians in monitoring heart rate and SpO2, supporting clinical decision-making through manual interpretation of ECG rhythms and pulse data.
Clinical Evidence
Clinical validation included pulse oximetry testing (n=234 samples) per ISO 80601-2-61:2017, demonstrating SpO2 accuracy of 2.96% across a 70-100% range. ECG and PPG performance were validated in a study at the University of Minnesota (previously accepted for CSF-3), showing ECG sensitivity of 99.59% with a 0.54% false detection rate, and PPG sensitivity of 99.78% with a 0.03% false detection rate.
Technological Characteristics
Wearable wrist-worn device; non-invasive sensors; 1-lead ECG (3 electrodes); PPG for pulse rate/SpO2; BLE connectivity; cloud-based data storage; firmware-based processing; biocompatible materials (cytotoxicity, irritation, sensitization tested per ISO 10993-1); compliant with IEC 60601-1, 60601-2-47, 60601-1-11, and 62133-2.
Indications for Use
Indicated for adult patients and health-conscious individuals in hospitals, clinics, long-term care facilities, and homes for recording/displaying single-channel ECG, pulse rate, and SpO2. Prescription use only. Contraindicated for pediatric use, critical care settings, and during periods of motion.
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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May 2, 2024
CardiacSense % Oxana Pantchenko Sr. Consultant ROM+ 2251 San Diego Ave. Ste B-257 San Diego, California 92110
Re: K232445
Trade/Device Name: CSF-4 Regulation Number: 21 CFR 870.2340 Regulation Name: Electrocardiograph Regulatory Class: Class II Product Code: DPS, DQA, DXH Dated: April 1, 2024 Received: April 2, 2024
Dear Oxana Pantchenko:
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 (the 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. Although this letter refers to your product as a device, please be aware that some cleared products may instead be combination products. The 510(k) Premarket Notification Database available at https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm identifies combination product submissions. 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.
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Additional information about changes that may require a new premarket notification are provided in the FDA guidance documents entitled "Deciding When to Submit a 510(k) for a Change to an Existing Device" (https://www.fda.gov/media/99812/download) and "Deciding When to Submit a 510(k) for a Software Change to an Existing Device" (https://www.fda.gov/media/99785/download).
Your device is also subject to, among other requirements, the Quality System (QS) regulation (21 CFR Part 820), which includes, but is not limited to, 21 CFR 820.30. Design controls; 21 CFR 820.90. Nonconforming product; and 21 CFR 820.100, Corrective and preventive action. Please note that regardless of whether a change requires premarket review, the QS regulation requires device manufacturers to review and approve changes to device design and production (21 CFR 820.30 and 21 CFR 820.70) and document changes and approvals in the device master record (21 CFR 820.181).
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 adverse events) (21 CFR Part 803) for devices or postmarketing safety reporting (21 CFR Part 4, Subpart B) for combination products (see https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reportingcombination-products); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR Part 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR Parts 1000-1050.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to https://www.fda.gov/medical-device-safety/medical-device-reportingmdr-how-report-medical-device-problems.
For comprehensive regulatory information about mediation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/medicaldevices/device-advice-comprehensive-regulatory-assistance) and CDRH Learn (https://www.fda.gov/training-and-continuing-education/cdrh-learn). Additionally, you may contact the Division of Industry and Consumer Education (DICE) to ask a question about a specific regulatory topic. See the DICE website (https://www.fda.gov/medical-device-advice-comprehensive-regulatoryassistance/contact-us-division-industry-and-consumer-education-dice) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).
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Sincerely,
# Jennifer W. Shih -S
Jennifer Shih Kozen Assistant Director Division of Cardiac Electrophysiology, Diagnostics and Monitoring Devices Office of Cardiovascular Devices Office of Product Evaluation and Quality Center for Devices and Radiological Health
Enclosure
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# Indications for Use
510(k) Number (if known) K232445
Device Name CSF-4
#### Indications for Use (Describe)
The CSF-4 is intended to record, store, transfer, and display single-channel electrocardiogram (ECG) rhythms. The ECG signal is for quality checks of the data and for manual interpretation of heart rate. The CSF-4 also measures, records and displays pulse rate.
The CSF-4 is also indicated for use in measuring and displaying functional oxygen saturation of arterial hemoglobin (SpO2). The CSF-4 is for adult patients and health-conscious individuals in hospitals, clinics, long-term care facilities, and homes. The CSF-4 is a prescription device and should be used under the care of a physician. CSF-4 does not provide any alarms. It is not intended for pediatric use or use in critical care settings. The device is not intended to provide outputs during periods of motion.
| Type of Use (Select one or both, as applicable) | |
|-------------------------------------------------|--|
|-------------------------------------------------|--|
X Prescription Use (Part 21 CFR 801 Subpart D)
Over-The-Counter Use (21 CFR 801 Subpart C)
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Image /page/4/Picture/1 description: The image is a logo for CardiacSense. The logo features a green and blue design with the words "CardiacSense" in a combination of green and blue colors. The word "Cardiac" is in green, while "Sense" is in blue. Below the company name, there is a tagline that reads "Watching Over You." To the left of the text, there is a circular graphic composed of green circles with a blue heart in the center.
## 510(k) Summary
#### DATE PREPARED
May 1st, 2024
#### MANUFACTURER AND 510(k) OWNER
CardiacSense Leshem 6-8 North Industrial Park Caesarea, Israel Telephone: 330-285-7222 Official Contact: Benita Lanzer, Head of Clinical Affairs
#### REPRESENTATIVE/CONSULTANT
Oxana S. Pantchenko, Ph.D. Allison C. Komiyama, Ph.D., R.A.C. ROM+ 2790 Mosside Blvd Suite 800, Monroeville, PA 15146 Telephone: (412) 816-8253 Email: opantchenko@rgmplus.com, akomiyama@rgmplus.com
#### DEVICE INFORMATION
Name: CSF-4 Regulation Number: 870.2340 - Electrocardiograph Class: 2 Product Code: DPS, DOA, DXH Premarket Review: Cardiac Electrophysiology, Diagnostics, and Monitoring Devices (DHT2A) Review Panel: Cardiovascular
#### PREDICATE/REFERENCE DEVICE IDENTIFICATION
The CSF-4 is substantially equivalent to the following predicate and reference devices:
| 510(k) Number | Predicate Device Name / Manufacturer | Primary Predicate |
|---------------|--------------------------------------|-------------------|
| K221260 | CSF-3 / CardiacSense | ✓ |
| K181352 | Loop System / Spry Health, Inc. | |
The predicate devices have not been subject to a design related recall.
## DEVICE DESCRIPTION
The CSF-4 is a non-invasive system comprised of software, hardware and mechanical components that enables the user to measure electrocardiography (ECG) and oxygen saturation of arterial hemoglobin (SpO2), as well as measuring pulse rate using photoplethysmography (PPG).
CSF-4 is a single-patient use, wearable monitoring device that collects intermittent data of physiological parameters, when little to no motion is detected.
The CSF-4 is comprised of 3 main components;
- 1) CS Watch 3 with CSF-4 Watch firmware ("Watch"): The CS Watch 3 is a wrist worn device embedded with non-invasive sensors. The watch includes firmware that activates the sensors, synchronizes the data sampled by the sensors, processes the data, stores the processed data in nonvolatile memory, and provides the data to the user. The processed data is transferred to the Mobile
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App via a secured BLE communication channel. In addition, the watch sends real-time raw data signals to the Mobile App.
- 2) CSF-4 Mobile Application ("Mobile App"): The Mobile App works on both Android OS and iOS. The mobile app communicates with the watch via BLE and to the Cloud App via HTTPS, thus acting as the watch gateway to the cloud application. The Mobile App caches the processed data from the watch and transfers it to the cloud application. It allows the user to conveniently view the measurement results and real time raw data. The Mobile App provides the user with the capability of creating an on-demand report and sharing it using 3rd party sharing applications.
- 3) CSF-4 Cloud Application ("Cloud App"): The Cloud App securely stores the user and processed data over designated databases. It provides the mechanism of creating and sending periodical reports which are sent to the user's email both automatically and on-demand.
#### INDICATIONS FOR USE
The CSF-4 is intended to record, store, transfer, and display single-channel electrocardiogram (ECG) rhythms. The ECG signal is for quality checks of the data and for manual interpretation of heart rate. The CSF-4 also measures, records and displays pulse rate.
The CSF-4 is also indicated for use in measuring and displaying functional oxygen saturation of arterial hemoglobin (SpO2). The CSF-4 is for adult patients and health-conscious individuals in hospitals, clinics, long-term care facilities, and homes. The CSF-4 is a prescription device and should be used under the care of a physician. CSF-4 does not provide any alarms. It is not intended for pediatic use or use in critical care settings. The device is not intended to provide outputs during periods of motion.
#### COMPARISON OF TECHNOLOGICAL CHARACTERISTICS
The CSF-3 and the CSF-4 devices have the same indications for use in terms of measuring and displaying a number of physiological parameters. The CSF-4 proposed indications for use encompass those of the CSF-3 indications for use and add on an additional method for measuring heart rate/pulse rate using PPG. Currently, the CSF-3 device measures heart rate by ECG only. The CSF-4 is proposing to also measure heart rate by PPG. Additionally, CardiacSense proposes to use the Loop System by Spry Health, Inc. as a reference device to demonstrate substantial equivalence regarding additional method for measuring heart rate/pulse rate using PPG.
The CSF-3 and the CSF-4 use the same technology in recording, storing, and displaying ECG waveforms. Both devices are 1-lead ECGs and include three electrodes (2 contacting the skin and one reference electrode) and transmit the data wirelessly (via Bluetooth) to a dedicated mobile app. The CSF-3 and the CSF-4 use the same technology to measure, record, and display SpO2. Both devices measure SpO2 through a patient's finger. Lastly, the CSF-4 and the Loop System, both measure heart rate/pulse rate by using skin contacting sensors, utilizing PPG technology, worn around patient's wrist.
Based on the testing performed, including non-clinical data collected, it can be concluded that the CSF-4 device does not raise new issues of safety or effectiveness compared to the CSF-3 predicate device. The similar indications for use, technological characteristics, and performance characteristics for the proposed CSF-4 are assessed to be substantially equivalent to the CSF-3 predicate device. CardiacSense believes that the CSF-4 is substantially equivalent to the CSF-3 predicate device.
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Image /page/6/Picture/1 description: The image is a logo for CardiacSense. The logo features a green and blue design with the word "CardiacSense" in a stylized font. The word "Cardiac" is in green, and the word "Sense" is in blue. Below the word "CardiacSense" is the phrase "Watching Over You" in a smaller font. To the left of the word "CardiacSense" is a green circular design with a blue heart in the center.
## SUMMARY OF NON-CLINICAL TESTING
Biocompatibility Testing
Based on the device type and contact duration and FDA's Guidance for Industry and Food and Drug Administration Staff - Use of International ISO 10993-1, "Biological evaluation of medical devices -Part 1: Evaluation and testing within a risk management process", the following biocompatibility tests were performed: in vitro cytotoxicity, irritation, and skin sensitization.
#### EMC, Wireless, Electrical, Mechanical and Thermal Testing
The CSF-3 System was evaluated for safety against the following standards;
1) ANSVAAMI IEC/EN 60601- 1:2005/(R)2012 + A1:2012 Medical electrical equipment - Part 1: General requirements for basic safety and essential performance
2) IEC 60601-2-47:2012 Medical electrical equipment - Part 2-47: Particular requirements for the basic safety and essential performance of ambulatory electrocardiographic Systems
3) IEC 62133-2:2017 - Secondary cells and batteries containing alkaline or other non-acid electrolytes - Safety requirements for portable sealed secondary lithium cells, and for batteries made from them, for use in portable applications - Part 2: Lithium Systems
4) IEC 60601-1-2:2014 Ed. 4 - Medical electrical equipment - Part 1-2: General requirements for basic safety and essential performance - Collateral Standard: Electromagnetic disturbances -Requirements and tests
5) IEC 60601-1-11:2015 Medical electrical equipment -- Part 1-11: General requirements for basic safety and essential performance - Collateral standard: Requirements for medical electrical equipment and medical electrical Systems used in the home healthcare environment
6) IEC 62472:2006 Safety analysis performed based on IEC 62471 or other lamp optical safety standards applicable requirements have been met.
#### Bench Testing
The performance of the QRS algorithm was evaluated against three databases following the requirements stated in the IEC 60601-2-47 standard. The ORS statistic was calculated per recording and per database. The per-database statistic was calculated as both gross and average, as discussed above in detail.
The QRS detection performance is above 98% for both sensitivity and PPV parameters for the MIT-BIH Arrhythmia and AHA databases. In the more challenging MIT-BIH Noise Stress database, the sensitivity and PPV were above 93%.
The HR RMS accuracy varies between 1-2% for the MIT-BIH Arrhythmia and AHA databases but dropped to slightly above 3% for the more challenging MIT-BIH Noise Stress database.
The results of these tests indicate that the CSF-3 is substantially equivalent to the predicate device.
## SUMMARY OF CLINICAL TESTING
The Pulse Oximeter Testing was conducted in the Hypoxia Research Laboratory, Department of Anesthesia Perioperative Care, University of California at San Francisco (UCSF) in compliance with the ISO 80601-2-61:2017 standard. The clinical study with n=234 samples, the SpO2 range was validated to be from 70% to 100% with accuracy of 2.96%.
The ECG and the PPG were tested in Fairview Research Center of the University of Minnesota. The study was reviewed and accepted by the Agency as part of the submission of CSF-3. The ECG was
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validated with the following performance, sensitivity of 99.59% and false detection rate of 0.54%. The PPG was validated with the following performance, sensitivity of 99.78% and false detection rate of 0.03% .
#### CONCLUSION
Based on the testing performed, it can be concluded that the CSF-4 does not raise new issues of safety or effectiveness compared to the predicate devices. The similar indications for use, technological characteristics, and performance characteristics for the proposed CSF-4 are assessed to be substantially equivalent to the predicate device.
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.