The device is intended to acquire and transmit electrocardiograph (ECG) data by means of a radio-frequency transmitter worn by individual patients in a hospital or clinical setting to a central monitor where it is received, displayed, stored, and analyzed, with alarms for heart rate, arrhythmia, and ST change. The device is to be used on ambulatory adult populations where monitoring is prescribed while undergoing exercise rehabilitation. Multiple central receivers may be used and connected to a local area network. Specified wireless data entry devices may be connected to the system via a wireless access point and be used as a station for entry of patient session data. Optional workstation(s) may be connected to the system via a network for entering and viewing patient demographic and rehab session data. The workstation may also be used for tracking patient progress in cardiac rehab and displaying non-real-time waveforms and alarms. ECG analysis may include 12-lead ECG interpretation. Patient demographics, exercise prescription, scheduling information, and collected data can be ported to an outcomes management program.
Device Story
Q-Tel RMS is a telemetry system for cardiac rehabilitation. It acquires patient ECG data via a body-worn RF transmitter (Mortara Ambulatory X-12 Telemetry Module) and transmits signals to a central monitoring station. The system displays real-time ECG waveforms, provides programmable alarms for arrhythmia/signal loss, and manages rehabilitation programs (scheduling, enrollment). Clinicians use the central station to view, edit, and record ECG strips. Optional networked workstations allow for non-real-time waveform viewing, alarm monitoring, and patient data entry. Wireless devices (e.g., PDAs) may also be used for session data entry. The system aids clinicians in monitoring patient progress during exercise, enabling informed clinical decisions based on real-time and stored cardiac data.
Clinical Evidence
Bench testing only. Compliance with IEC 60601-1 (General Safety), IEC 60601-1-2 (EMC), CISPR 11 (Radio-frequency disturbance), and EN 60601-2-25 (ECG safety). No clinical data provided.
Technological Characteristics
PC-based telemetry system; Pentium IV or greater processor; Windows 2000 OS; SQL 2000 (MDSE) database. RF transmission via Mortara X-12 module (904.7-925.16 MHz, 608.48-631.52 MHz, 2400.96-2482.56 MHz). Patient leads use biocompatible Santoprene. Supports 4 and 5 lead combinations. Networked connectivity for workstations and wireless data entry. Software-based ECG analysis using Mortara algorithms.
Indications for Use
Indicated for ambulatory adult patients undergoing exercise rehabilitation who require ECG monitoring.
Regulatory Classification
Identification
The arrhythmia detector and alarm device monitors an electrocardiogram and is designed to produce a visible or audible signal or alarm when atrial or ventricular arrhythmia, such as premature contraction or ventricular fibrillation, occurs.
Special Controls
*Classification.* Class II (special controls). The guidance document entitled “Class II Special Controls Guidance Document: Arrhythmia Detector and Alarm” will serve as the special control. See § 870.1 for the availability of this guidance document.
{0}------------------------------------------------
K041607
page 1 of 3
## 510(k) Summary
| | 1. Name: | Quinton Cardiology, Inc. |
|--|-------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| | 2. Address: | 3303 Monte Villa Parkway<br>Bothell, WA 98021-8969 |
| | 3. Phone number: | (425) 402-2255 |
| | 4. Fax number: | (425) 402-2017 |
| | 5. Contact person: | Karen Browne |
| | 6. Summary prepared: | June 14, 2004 |
| | 7. Proprietary name: | Q-Tel RMS (Rehabilitation Management System) |
| | 8. Common name: | Telemetry system |
| | 9. Classification name: | § 870.1025 Arrhythmia detector and alarm<br>§ 870.1425 Programmable diagnostic computer<br>§ 870.2050 Biopotential amplifier and signal<br>conditioner<br>§ 870.2300 Cardiac monitor<br>§ 870.2340 Electrocardiograph<br>§ 870.2810 Paper chart recorder<br>§ 870.2900 Patient transducer and electrode cable<br>§ 870.2910 Radiofrequency physiological signal<br>transmitter and receiver |
- 10. The Q-Tel RMS is substantially equivalent to the Q-Tel RMS (K003576).
- l 1. Description: The Q-Tel RMS telemetry system measures the electrical activity of a patient's heart during an exercise class and transmits it via radio frequency to a central monitoring station. The core features of the O-Tel RMS system include telemetry monitoring, ECG displays, full disclosure of vital signs, printing and reporting, and rehabilitation program management, such as scheduling classes and seminars and patient enrollment.
The monitoring station displays the patient's real-time ECG waveforms and uses programmable alarms to indicate the presence of pre-selected medical or technical conditions, such as arrhythmia or loss of signal. When alerted by the alarm, the clinician determines whether the event causing the alarm is clinically significant or benign. The Q-Tel RMS system enables the clinician to view, edit, record ECG strips, and use a printer to print reports.
Optional workstation(s) may be connected to the Q-Tel RMS via a network for the purpose of entering and viewing patient demographic and session data, which is stored on
{1}------------------------------------------------
the Q-Tel RMS system. A workstation may also be used for tracking patient progress in cardiac rehab and displaying non-real-time waveforms and alarms. Workstation(s) may be supplied as a turnkey device or as software only to be installed on specified hardware platform supplied by the customer. The software only workstation provides the same functions as the turnkey workstation except viewing of session data in "read-only" mode.
An optional wireless data entry device, such as a PDA, may act as a station for entry of patient session data which is saved on the Q-Tel RMS system. The wireless entry device has access only to patient session data.
- 12. Intended use:
- . The device is intended to acquire and transmit electrocardiograph (ECG) data by means of a radio-frequency transmitter worn by individual patients in a hospital or clinical setting to a central monitor where it is received, displayed, stored, and analyzed, with alarms for heart rate, arrhythmia, and ST change.
- . The device is to be used on ambulatory adult populations where monitoring is prescribed while undergoing exercise rehabilitation.
- Multiple central receivers may be used and connected to a local area network. .
- . Specified wireless data entry devices may be connected to the system via a wireless access point and be used as a station for entry of patient session data.
- Optional workstation(s) may be connected to the system via a network for entering . and viewing patient demographic and rehab session data. The workstation may also be used for tracking patient progress in cardiac rehab and displaying non-real-time waveforms and alarms.
- ECG analysis may include 12-lead ECG interpretation. .
- Patient demographics, exercise prescription, scheduling information, and collected . data can be ported to an outcomes management program.
- 13. Technological characteristic comparison: The Q-Tel RMS (K003576) and the proposed device have nearly identical indications for use. The proposed device allows the clinician alternate methods of data entry, and track patient progress in a non-real-time display of waveforms and alarms. This is merely a management tool and has no impact on the safety and efficacy of the device. Both devices are to be to be used on ambulatory adult populations where monitoring is prescribed while undergoing exercise rehabilitation. Both devices are based on personal computer (PC) platforms. The predicate device utilized a Pentium III processor while the proposed device utilizes a Pentium IV processor or greater, a proven performance improvement. Both devices use Windows 2000 operating system coupled with SQL 2000 (MDSE). Both devices utilize the frequency bands of ISM 904.7 to 925.16 MHz, WMTS 608.48 to631.52 and ISM 2400.96 to 2482.56. Both devices use the identical Mortara Instrument, Inc. Ambulatory X-12 Telemetry Module (K974149) incorporated as a component to accomplish the aforementioned frequencies. The predicate and proposed devices utilize identical Mortara analysis algorithms previously incorporated in the Datex-Ohmeda CS/3 Telemetry System (K000882). Material differences between the two devices are consistent with design. Both devices perform identically, aside from the capability of the proposed device to allow remote methods of data entry and viewing of non-real-time display of waveforms and alarms. This represents a clinical process improvement and
{2}------------------------------------------------
K041607
page 3 of 3
has no impact on the safety and/or efficacy of the device. Sterilization is not required for either device. Both devices utilize a biocompatible medical grade Santoprene that come into contact with the patient (patient leads). Mechanical safety, aside from stability, is not applicable for either device. Stability testing of the predicate and proposed devices was performed in accordance with IEC 60601-1 Medical Electrical Equipment - Part 1 : General Requirements for Safety, respectively. Chemical safety is not applicable for either device. Both devices are used in identical anatomical sites. Both devices include optional 4 and 5 lead combinations. Human factors for both devices are similar. Generated data is identical. Both devices are passive and floating. The existing and proposed devices 2 AA batteries. The batteries represent safety extra low voltage (SELV) levels and are used for radio-frequency (RF) transmission only. The proposed device complies with IEC 60601-1-2 Medical Electrical Equipment - Part 1 : General Requirements for Safety: Electromagnetic Compatibility. The proposed and predicate device comply to IEC 60601-1-2 Electromagnetic compatibility and CISPR 11 Industrial, scientific, and medical (ISM and WMTS) radio-frequency equipment -Electromagnetic disturbance characteristics. Both devices are used in a clinical or hospital environment. Electrical safety testing of the predicate and proposed devices was performed in accordance with IEC 60601-1 Medical Electrical Equipment - Part 1: General Requirements for Safety. Additionally, the predicate and proposed device complies with EN 60601-2-25, Medical electrical equipment. Part 2: Particular requirements for the safety of electrocardiographs. IEC 60601-2-25: 1993, 1995. Thermal safety of the predicate and proposed devices is assured by compliance with IEC 60601-1 Medical Electrical Equipment - Part 1: General Requirements for Safety. Ionizing energy is not emitted by neither device.
{3}------------------------------------------------
Image /page/3/Picture/1 description: The image is a black and white circular seal. The seal contains the words "DEPARTMENT OF HEALTH & HUMAN SERVICES - USA" around the perimeter of the circle. In the center of the seal is a stylized image of an eagle.
Food and Drug Administration 9200 Corporate Boulevard Rockville MD 20850
JUL 1 6 2004
Quinton Cardiology, Inc. c/o Ms. Karen Browne Director, Quality Assurance and Regulatory Affairs 3303 Monte Villa Parkway Bothell, WA 98021-8969
Re: K041607
Trade Name: Q-Tel RMS Regulation Number: 21 CFR 870.1025 Regulation Name: Arrhythmia Detector and Alarm Regulatory Class: II (two) Product Code: MHX Dated: June 14, 2004 Received: June 15, 2004
Dear Ms. Browne:
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.
{4}------------------------------------------------
Page 2 - Ms. Karen Browne
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 (301) 594-4648. 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 (301) 443-6597 or at its Internet address http://www.fda.gov/cdrh/dsma/dsmamain.html
Sincerely yours,
Nid R.K. Ogden
Bram D. Zuckerman, M.D. Director Division of Cardiovascular Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
{5}------------------------------------------------
041607
Page 1
510(k) Number (if known):__
Device Name:________Q-Tel RMS
Indications For Use:
- The device is intended to acquire and transmit electrocardiograph (ECG) . data by means of a radio-frequency transmitter worn by individual patients in a hospital or clinical setting to a central monitor where it is received, in a nooph stored, and analyzed, with alarms for heart rate, arrhythmia, and ST change.
- The device is to be used on ambulatory adult populations where . monitoring is prescribed while undergoing exercise rehabilitation.
- Multiple central receivers may be used and connected to a local area . network.
- Specified wireless data entry devices may be connected to the system via . a wireless access point and be used as a station for entry of patient session data.
- Optional workstation(s) may be connected to the system via a network for . entering and viewing patient demographic and rehab session data. The workstation may also be used for tracking patient progress in cardiac rehab and displaying non-real-time waveforms and alarms.
- ECG analysis may include 12-lead ECG interpretation. .
- Patient demographics, exercise prescription, scheduling information, and . collected data can be ported to an outcomes management program.
Prescription Use (Per 21 CFR 801.109) OR
Over-The-Counter Use__________________________________________________________________________________________________________________________________________________________
(PLEASE DO NOT WRITE BELOW THIS LINE - CONTINUE ON ANOTHER PAGE IF NEEDED)
Concurrence of CDRH, Office of Device Evaluation (ODE)
| (Division Sign-Off) | <div></div> <div>for BD2</div> |
|------------------------------------|--------------------------------|
| Division of Cardiovascular Devices | |
| 510(k) Number | K041607 |
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.