The SleepImage System is medical software that establishes sleep quality, intended for use by or on the order of a Healthcare Professional to aid in the evaluation of sleep disorders based on Electrocardiogram (ECG) recordings, typically collected during sleep. The results of these analyses are graphical and numerical presentations and reports of sleep latency, sleep duration, sleep quality and sleep pathology. These presentations and reports are intended to inform or drive clinical management. The SleepImage System is intended for use on a general-purpose computing platform, it does not monitor or diagnose the patient and does not issue any alarms.
Device Story
SleepImage System is medical software for sleep quality assessment; processes ECG data collected during sleep; optionally incorporates accelerometer and oximeter data. Operates on general-purpose computing platforms; used by physicians, technicians, or healthcare professionals in clinical settings. Transforms raw ECG inputs into graphical/numerical reports detailing sleep latency, duration, quality, and pathology. Output assists clinicians in evaluating sleep disorders and driving clinical management. Device does not perform real-time monitoring, diagnosis, or alarm generation. System is updated from predicate to operate independently of dedicated hardware.
Clinical Evidence
Bench testing only. Comparative study performed between SleepImage System and predicate M1 Sleep Data Recorder using simultaneous recordings from alternate ECG sources (hospital PSG and home sensors). Results demonstrated that output from alternate ECG signals is statistically equivalent to output from the predicate device.
Technological Characteristics
Standalone medical software for general-purpose computing platforms. Analyzes ECG waveforms; optionally processes accelerometer and oximeter data. No physical materials, sterilization, or energy source requirements. Software-based analysis.
Indications for Use
Indicated for use by or on the order of a healthcare professional to aid in the evaluation of sleep disorders in patients by analyzing, displaying, and summarizing ECG data collected during sleep.
Regulatory Classification
Identification
A breathing (ventilatory) frequency monitor is a device intended to measure or monitor a patient's respiratory rate. The device may provide an audible or visible alarm when the respiratory rate, averaged over time, is outside operator settable alarm limits. This device does not include the apnea monitor classified in § 868.2377.
Predicate Devices
CPC Application Software from M1 Sleep Data Recorder and CPC Application Software (K092003)
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Food and Drug Administration 10903 New Hampshire Avenue Document Control Center - WO66-G609 Silver Spring, MD 20993-0002
October 13, 2017
Mycardio, LLC Dba Sleepimage. Mr. Robert Schueppert Manager, Regulatory Affairs 370 Interlocken Blvd. Suite 650 Broomfield, Colorado 80021
Re: K163696
Trade/Device Name: SleepImage System Regulation Number: 21 CFR 868.2375 Regulation Name: Breathing Frequency Monitor Regulatory Class: Class II Product Code: MNR Dated: September 11, 2017 Received: September 12, 2017
Dear Mr. Schueppert:
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 (reporting of medical device
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related 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 contact the Division of Industry and Consumer Education at its toll-free number (800) 638-2041 or (301) 796-7100 or at its Internet address
http://www.fda.gov/MedicalDevices/ResourcesforYou/Industry/default.htm. Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR 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 Industry and Consumer Education at its toll-free number (800) 638-2041 or (301) 796-7100 or at its Internet address
http://www.fda.gov/MedicalDevices/ResourcesforYou/Industry/default.htm.
Sincerely,
### Tara A. Ryan -S
for Tina Kiang, Ph.D. Acting Director Division of Anesthesiology, General Hospital. Respiratory. Infection Control, and Dental Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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### Indications for Use
510(k) Number (if known) K163696
Device Name SleepImage System
#### Indications for Use (Describe)
The SleepImage System is medical software that establishes sleep quality. The SleepImage system analyzes, displays and summarizes ECG data, typically collected during sleep that is intended for use by or on the order of a Health Care Professional to aid in the evaluation of sleep disorders, where it may inform or drive clinical management.
Type of Use (Select one or both, as applicable)
| <span style="font-family: Arial, sans-serif;">☑</span> Prescription Use (Part 21 CFR 801 Subpart D) |
|-----------------------------------------------------------------------------------------------------|
| <span style="font-family: Arial, sans-serif;">☐</span> Over-The-Counter Use (21 CFR 801 Subpart C) |
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370 Interlocken Blvd. Suite 650 Broomfield, CO 80021 USA Tel: 888.975.7464
Date: September 11, 2016
#### 510(K) SUMMARY
#### SUBMITTER INFORMATION
| A. Company Name: | MyCardio LLC dba SleepImage |
|----------------------|--------------------------------------------------------------|
| B. Company Address: | 370 Interlocken Blvd. Suite 650<br>Broomfield, CO 80021, USA |
| C. Company Phone: | 720-708-4209 |
| D. Company Email: | regulatory@sleepimage.com |
| E. Company Contact: | Robert Schueppert, Manager of Regulatory and Quality |
PREPARATION DATE September 11, 2017
#### DEVICE IDENTIFICATION
| A. Device Trade Name: | SleepImage System |
|------------------------|-------------------|
|------------------------|-------------------|
- B. Device Common Name: SleepImage
- C. Classification Name: Breathing frequency monitor
- D. Regulation Number: 21 CFR 868.2375
- E. Product Code: MNR
- F. Device Classification: Class II
- G. Classification Panel: Unknown
#### PREDICATE DEVICE
- A. Trade Name: CPC Application Software from M1 Sleep Data Recorder and CPC Application Software (K092003)
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Regulation Number: 21 CFR 868.2375 Product Code: MNR
#### REFERENCE DEVICE
A. Trade Name: Sleep Quality (K070855) Regulation Number: 21 CFR 868.2375 Product Code: MNR
Rationale: This device has been cleared to analyze ECG data for the purposes of sleep quality measurements and sleep disorder detection without referencing a particular, or a list of particular ECG signal sources or recording devices. The description states the following: "Sleep Quality system takes text format ECG recording into ASCII data format. Most commercially available Holter Monitors devices have this capability. ECG recording data is first collected by a standard Holter device during subject's sleep, is converted into ASCII data format, and is then analyzed by the Sleep Quality system."
### INDICATIONS FOR USE
The Sleeplmage System is medical software that establishes sleep quality. The SleepImage system analyzes, displays and summarizes ECG data, typically collected during sleep that is intended for use by or on the order of a Health Care Professional to aid in the evaluation of sleep disorders, where it may inform or drive clinical management.
### DEVICE DESCRIPTION
The SleepImage System consists of an operator-independent process that automatically analyzes Electrocardiography data using a general purpose computing platform. When provided in addition to the ECG data, the SleepImage System can optionally display accelerometer and oximeter data.
The results of the processed data are graphical and numerical presentations and reports of sleep latency, sleep duration, sleep quality and sleep pathology for the use by or on the order of physicians, trained technicians, or other healthcare professionals.
The data output establishes sleep quality and allows the healthcare professional to evaluate sleep disorders, where it may inform or drive clinical management taking into consideration other factors that normally are considered for clinical management of sleep disorders.
<sup>1</sup> Electrocardiography (ECG or EKG) is defined as the process of recording the electrical activity of the heart over a period of time.
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The clinician can create unique patient reports for the patient being evaluated, and configure parameters in the software.
The SleepImage System is a standalone, sleep health evaluation application that provides automated analysis of cardiovascular and respiratory waveforms. Like the predicate device, it processes information recorded during sleep. The SleepImage System is considered to be medical software.
The SleepImage System is being updated from the predicate device, the M1 Sleep Data Recorder and CPC Application Software to operate independent of the dedicated M1 Sleep Data Recorder cleared under K092003.
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#### INTENDED USE
The SleepImage System is medical software that establishes sleep quality, intended for use by or on the order of a Healthcare Professional to aid in the evaluation of sleep disorders based on Electrocardiogram (ECG) recordings, typically collected during sleep.
The results of these analyses are graphical and numerical presentations and reports of sleep latency, sleep duration, sleep quality and sleep pathology. These presentations and reports are intended to inform or drive clinical management.
The SleepImage System is intended for use on a general-purpose computing platform, it does not monitor or diagnose the patient and does not issue any alarms.
#### COMPARISON TO PREDICATE DEVICES
The SleepImage System is substantially equivalent in the following technological ways to the intended use and application to the identified predicate device;
- Indications for Use O
- Basic design O
- Materials used O
- O Where used
- Standards met O
#### TESTING AND PERFORMANCE DATA
Product Safety Testing - not applicable (software). Electromagnetic Compatibility and Immunity Testing - not applicable (software). No other specific guidance document on performance is required for this type of device.
#### BIOCOMPATIBILITY, STERILIZATION, PACKAGING, AND BENCH TESTING
Biocompatibility - not applicable (software). Sterilization - not applicable (software). Packaging - not applicable (software). Bench testing -
- . The SleepImage System software is identical in specifications and performance to the original cleared CPC Application Software (predicate - K092003). Repeat bench testing conducted on the SleepImage System was not considered necessary.
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- . A study was conducted to compare electrocardiography (ECG) analysis and results of the SleepImage System based on simultaneous recordings with alternate ECG collection sources (ECG signal extracted from a typical hospital PSG study and ECG sensors for home use) and the predicate M1 Sleep Data Recorder. The result of this comparison is that the output from the ECG signals from the alternate recordings are in every respect statistically equivalent to the output from ECG signals recorded by the predicate M1 Sleep Data Recorder predicate device.
#### CONCLUSION
It is the the conclusion of MyCardio LLC that the SleepImage System is substantially equivalent to the predicate device [cleared by the 510(k) process] and presents no new concerns about safety and effectiveness.
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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.