ECG is intended to disclose either normal condition or patterns of arrhythmia, myocardial ischemia, rate abnormalities, or features of prognostic value in the following cases: Patients with suspected cardiac abnormalities Populations of patients at an age or period in which a routine baseline evaluation of ECG characteristics is desired. Stress Testing Angina pectoris (chest pain) is a clinical syndrome resulting from myocardial ischemia, indicative of reduced blood supply to the cardiac muscle. The electrocardiogram may establish the diagnosis of ischemic heart disease if characteristic changes are present. Stress testing is the most widely used method to decide whether this chest pain is related to myocardial ischemia, and thus to coronary artery disease. In stress testing, the contractile capability of the heart muscle is monitored via ECG during patient exercise. Patients exercise by bicvcle, treadmill, or other means, while the ECG is monitored continuously. Exercise loads are determined by predefined protocols. The ECG signals as well as the HF-QRS signals are recorded for the resting, exercise, and recovery phase portions of the exercise protocol. The changes in both ECG waveforms are compared to the resting ECG records. In the HyperQ™ stress test, changes in the high frequency of the mid QRS complex, calculated as root-meansquare (RMS) values, are compared to the resting values. Most of the commercial stress test systems control the bicycle or treadmill automatically according to the requirements of the chosen protocol, although this is not essential. ST segment monitoring is intended as an aid in the evaluation of myocardial ischemia in patients with known or suspected coronary artery disease. The ST segment algorithm has been tested for accuracy of the ST segment data, and a database is used as a tool for performance testing. The significance of the ST segment changes must be determined by a physician. HyperQ™ The HyperQ™ Software is intended to be used as an aid to stress ECG test by means of analysis of high frequency components present within the central portion of the QRS complex. The significance of the HF-QRS changes must be determined by a physician.
Device Story
HyperQ System is a compact monitor for measuring, processing, storing, and displaying ECG data. It analyzes high-frequency components of the QRS complex during stress testing (treadmill/bicycle). Input: standard ECG signals. Processing: calculates root-mean-square (RMS) values of high-frequency components in the mid-QRS complex; compares exercise/recovery phase changes against resting baseline. Output: processed ECG and HF-QRS data displayed for physician review. Used in clinical settings by healthcare providers to aid in diagnosing myocardial ischemia and coronary artery disease. Physician determines clinical significance of findings.
Clinical Evidence
No clinical trial data provided. The document mentions that the ST segment algorithm was tested for accuracy using a database as a tool for performance testing. Bench testing only.
Technological Characteristics
Compact ECG monitor; analyzes high-frequency components of the QRS complex; calculates RMS values; includes a reformatted graphic interface unit (GIU); software-based analysis of ECG signals.
Indications for Use
Indicated for patients with suspected cardiac abnormalities or those requiring routine baseline ECG evaluation. Used as an aid in stress testing for patients with angina pectoris or suspected coronary artery disease to evaluate myocardial ischemia.
Regulatory Classification
Identification
A cardiac monitor (including cardiotachometer and rate alarm) is a device used to measure the heart rate from an analog signal produced by an electrocardiograph, vectorcardiograph, or blood pressure monitor. This device may sound an alarm when the heart rate falls outside preset upper and lower limits.
{0}------------------------------------------------
K072389
## 510(k) Summary of Safety & Effectiveness
Pursuant to CFR 807.92, the following 510(k) Summary is provided:
| 1. (a) | Submitter<br>Address: | George J. Hattub<br>MedicSense, USA<br>291 Hillside Avenue<br>Somerset, MA 02726<br>www.medicsense.com |
|--------|-------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 1. (b) | Manufacturer<br>Address: | Biological Signal Processing Ltd.<br>2a Habarzel Street<br>Tel-Aviv 69710, Israel |
| | Mfg. Phone: | Tel.: 972-3-647 4840 |
| | Contact Person: | Eran Toledo |
| | Date: | August 20, 2007 |
| 2. | Device &<br>Classification<br>Name: | Monitor, Physiological, Patient (Without Arrhythmia Detection Or Alarms)<br>device as a class II device (product code MWI).<br>HyperQ |
| 3. | Predicate Device: | HyperQ™ System K070624 |
| 4. | Description: | The HyperQ™ System is a compact monitor for measuring, processing,<br>storing, and displaying information derived from an electrocardiogram<br>(ECG). The device analyzes and records the high frequency components of<br>the QRS complex of standard ECG. |
| 5. | Intended Use: | ECG<br>ECG is intended to disclose either normal condition or patterns of<br>arrhythmia, myocardial ischemia, rate abnormalities, or features of<br>prognostic value in the following cases:<br>Patients with suspected cardiac abnormalities<br>Populations of patients at an age or period in which a routine baseline<br>evaluation of ECG characteristics is desired. |
| | | Stress Testing |
| | | Angina pectoris (chest pain) is a clinical syndrome resulting from myocardial<br>ischemia, indicative of reduced blood supply to the cardiac muscle. The<br>electrocardiogram may establish the diagnosis of ischemic heart disease if<br>characteristic changes are present.<br>Stress testing is the most widely used method to decide whether this chest |
Page 1 of 2
{1}------------------------------------------------
pain is related to myocardial ischemia, and thus to coronary artery disease. In stress testing, the contractile capability of the heart muscle is monitored via ECG during patient exercise. Patients exercise by bicvcle, treadmill, or other means, while the ECG is monitored continuously. Exercise loads are determined by predefined protocols. The ECG signals as well as the HF-QRS signals are recorded for the resting, exercise, and recovery phase portions of the exercise protocol. The changes in both ECG waveforms are compared to the resting ECG records. In the HyperQ™ stress test, changes in the high frequency of the mid QRS complex, calculated as root-meansquare (RMS) values, are compared to the resting values. Most of the commercial stress test systems control the bicycle or treadmill
automatically according to the requirements of the chosen protocol, although this is not essential.
ST segment monitoring is intended as an aid in the evaluation of myocardial ischemia in patients with known or suspected coronary artery disease. The ST segment algorithm has been tested for accuracy of the ST segment data, and a database is used as a tool for performance testing. The significance of the ST segment changes must be determined by a physician.
## HyperQ™
The HyperQ™ Software is intended to be used as an aid to stress ECG test by means of analysis of high frequency components present within the central portion of the QRS complex.
The significance of the HF-QRS changes must be determined by a physician.
- 6. Comparison of Technological Characteristics:
With respect to technology and intended use, the Modified HyperQ™ System is substantially equivalent to its predicate device which is the HyperQ™ System. The primary difference is that the modified device provides a reformatted graphic interface unit (GIU) with additional enhancements, features, and user selectable options. Based upon the validation results, BSP believes these differences do not raise additional safety of efficacy concerns.
Page 2 of 2
{2}------------------------------------------------
Image /page/2/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 wing, and the text "DEPARTMENT OF HEALTH & HUMAN SERVICES-USA" arranged in a circular fashion around the eagle. The logo is black and white and appears to be a simple, vectorized design.
Food and Drug Administration 9200 Corporate Boulevard Rockville MD 20850
SEP 1 8 2007
MedicSense, USA c/o Mr. George J. Hattub, RAC and CQE Senior Staff Consultant 291 Hillside Avenue Somerset, MA 02726
Re: K072389
HyperQTM System Regulation Number: 21 CFR 870.2300 Regulation Name: Cardiac monitor (including cardiotachometer and rate alarm) Regulatory Class: Class II (two) Product Code: MWI Dated: August 21, 2007 Received: August 24, 2007
Dear Mr. Hattub:
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.
{3}------------------------------------------------
Page 2 - Mr. George J. Hattub
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), please contact the Office of Compliance at (240) 276-0120. Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21CFR Part 807.97). 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 (240) 276-3150 or at its Internet address http://www.fda.gov/cdrh/industry/support/index.html.
Sincerely vours.
Ashley B. Boan
A Bram D. Zuckerman, M.D. Director Division of Cardiovascular Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
{4}------------------------------------------------
## Indications for Use
510(k) Number (if known):
Device Name: HyperQ™System
Indications For Use: ECG is intended to disclose either normal condition or patterns of arrhythmia, myocardial ischemia, rate abnormalities, or features of prognostic value in the following cases:
· Patients with suspected cardiac abnormalities
• Populations of patients at an age or period in which a routine baseline evaluation of ECG characteristics is desired.
Stress Testina
Angina pectoris (chest pain) is a clinical syndrome resulting from myocardial ischemia, indicative of reduced blood supply to the cardiac muscle. The electrocardiogram may establish the diagnosis of ischemic heart disease if characteristic changes are present.
Stress testing is the most widely used method to decide whether this chest pain is related to myocardial ischemia, and thus to coronary artery disease. In stress testing, the contractile capability of the heart muscle is monitored via ECG during patient exercise by bicycle, treadmill, or other means, while the ECG is monitored continuously. Exercise loads are determined by predefined protocols. The ECG signals as well as the HF-QRS signals are recorded for the resting, exercy seasing on phase portions of the exercise protocol. The changes in both ECG waveforms are compared to the resting ECG records. In the HyperQ™ stress test, changes in the high frequency of the mid QRS complex, calculated as root-mean-square (RMS) values, are compared to the resting values.
Most of the commercial stress test systems control the bicycle or treadmill automatically according to the requirements of the chosen protocol, although this is not essential.
ST segment monitoring is intended as an aid in the evaluation of myocardial ischemia in patients with known or suspected coronary artery disease. The ST segment algorithm has been tested for accuracy of the ST segment data, and a database is used as a tool for performance testing.
The significance of the ST segment changes must be determined by a physician.
## HyperQTM
The HyperQ™ Software is intended to be used as an aid to the ECG stress test by means of analysis of high frequency components present within the central portion of the QRS complex.
The significance of the HF-QRS changes must be determined by a physician.
Prescription Use X (Part 21 CFR 801 Subpart D)
AND/OR
Over-The-Counter Use (21 CFR 807 Subpart C)
(PLEASE DO NOT WRITE BELOW THIS LINE-CONTINUE ON ANOTHER PAGE IF NEEDED)
Concurrence of CDRH, Office of Device Evaluation (ODE)
Unlulu Doane for BDZ
(Division Sign Off)
rdiovascular Devices
Page 1 of 1
510(k) Number *k072389*
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Learn the FDA Browser
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.