CARDIONET AMBULATORY ECG MONITOR WITH ARRHYTHMIA DETECTION, MODEL 1002
K052240 · Cardionet, Inc. · QYX · Oct 19, 2005 · Cardiovascular
Device Facts
Record ID
K052240
Device Name
CARDIONET AMBULATORY ECG MONITOR WITH ARRHYTHMIA DETECTION, MODEL 1002
Applicant
Cardionet, Inc.
Product Code
QYX · Cardiovascular
Decision Date
Oct 19, 2005
Decision
SESE
Submission Type
Abbreviated
Regulation
21 CFR 870.1025
Device Class
Class 2
Indications for Use
The CardioNet ECG Monitor with Arrhythmia Detection, Model 1002 is intended to be used for ambulatory diagnostic monitoring for cardiac arrhythmias.
Device Story
Ambulatory ECG monitor system; consists of patient-worn sensor, PDA-sized monitor, and charging base. Sensor acquires ECG signals; monitor stores and analyzes data via automated arrhythmia analysis algorithm. Detects arrhythmic events; transmits ECG data to staffed monitoring center via cellular modem or telephone line. Patient can manually trigger recording/transmission during symptomatic episodes. Monitoring center technicians review data using Monitoring Services Application. Facilitates remote cardiac rhythm monitoring; assists clinicians in diagnosing arrhythmias and correlating symptoms with cardiac events; enables outpatient management of patients with suspected or known arrhythmias.
Clinical Evidence
Bench testing only. Performance testing conducted per FDA Class II Special Controls Guidance Document for Arrhythmia Detector and Alarm. Compliance verified against ANSI/AAMI EC 38:1998 (Ambulatory Electrocardiographs), ANSI/AAMI EC 57:1998 (Testing and Reporting Performance Results of Cardiac Rhythm and ST Segment Measurement Algorithms), and IEC 60601-1 (General Safety).
Technological Characteristics
System includes patient-worn sensor, PDA-sized monitor, and charging base. Connectivity via cellular modem or telephone data line for remote transmission. Arrhythmia analysis algorithm is proprietary. Complies with ANSI/AAMI EC 38, ANSI/AAMI EC 57, and IEC 60601-1 standards.
Indications for Use
Indicated for patients requiring cardiac monitoring, including: non-life threatening arrhythmias (e.g., AFib, flutter, PACs, PSVT, ventricular ectopy); evaluation of bradyarrhythmias and bundle branch block (post-surgery/MI); arrhythmias with co-morbidities (hyperthyroidism, lung disease); symptoms of dizziness, lightheadedness, syncope, or dyspnea; palpitations; monitoring drug effects on ventricular rate; post-cardiac surgery outpatient monitoring; sleep disordered breathing (apnea) to evaluate nocturnal arrhythmias; and evaluation of stroke/TIA etiology. Data may be used to analyze/report QT interval. Contraindicated for patients requiring inpatient monitoring for life-threatening arrhythmias or those requiring hospitalization.
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.
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November 15, 2023
Cardionet, Inc Jack Gaikwad Director, RA/qa 1010 2nd Ave., Suite 700 San Diego, California 92101
Re: K052240
Trade/Device Name: Cardionet Ambulatory Ecg Monitor With Arrhythmia Detection, Model 1002 Regulation Number: 21 CFR 870.1025 Regulation Name: Arrhythmia detector and alarm (including ST-segment measurement and alarm) Regulatory Class: Class II Product Code: QYX, DSI
Dear Jack Gaikwad:
The Food and Drug Administration (FDA) is sending this letter to notify you of an administrative change related to your previous substantial equivalence (SE) determination letter dated October 19, 2005. Specifically, FDA is updating this SE Letter because FDA has created a new product code to better categorize your device technology.
Please note that the 510(k) submission was not re-reviewed. For questions regarding this letter please contact Jennifer Kozen, OHT2: Office of Cardiovascular Devices, 301-796-5813, Jennifer.Kozen@fda.hhs.gov.
Sincerely,
# Jennifer W. Shih -S
Jennifer 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
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Image /page/1/Picture/2 description: The image shows the logo for the Department of Health and Human Services (HHS). The logo features a circular seal with the words "DEPARTMENT OF HEALTH AND HUMAN SERVICES - USA" arranged around the perimeter. Inside the circle is a stylized image of three human profiles facing to the right, with flowing lines representing movement or progress.
Food and Drug Administration 9200 Corporate Boulevard Rockville MD 20850
OCT 1 9 2005
Cardionet, Inc. c/o Mr. Jack Gaikwad Director, Quality and Regulatory 1010 2nd Avenue, Suite 700 San Diego, CA 92101
Re: K052240
Trade Name: Cardionet Ambulatory ECG Monitor with Arrhythmia Detection Regulation Number: 21 CFR 870.1025 Regulation Name: Arrhythmia Detector and Alarm Regulatory Class: II (two) Product Code: DSI Dated: August 11, 2005 Received: August 17, 2005
Dear Mr. Gaikwad:
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.
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#### Page 2 - Mr. Jack Gaikwad
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 (301) 443-6597 or at its Internet address http://www.fda.gov/cdrh/industry/support/index.html.
Sincerely vours.
Bhimmerfor
Bram D. Zuckerman, M.D. Director Division of Cardiovascular Devices Office of Device Evaluation Center for Devices and Radiological Health
2
Enclosure
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# Indications for Use
510(k) Number (if known):__K052240
Device Name: CardioNet Ambulatory ECG Monitor with Arrhythmia Detection
### Indications for Use:
The CardioNet Ambulatory ECG Monitor with Arrhythmia Detection intended use is for:
- Patients who have a demonstrated need for cardiac monitoring. These may include 1. but are not limited to patients who require monitoring for: a) non-life threatening arrhythmias such as supraventricular tachycardias (e.g. atrial fibrillation, atrial flutter, PACs, PSVT) and ventricular ectopy; b) evaluation of bradyarrhythmias and intermittent bundle branch block, including after cardiovascular surgery and myocardial infarction; and c) arrhythmias associated with co-morbid conditions such as hyperthyroidism or chronic lung disease
- Patients with symptoms that may be due to cardiac arrhythmias. These may include 2. but are not limited to symptoms such as: a) dizziness or lightheadedness; b) syncope of unknown etiology in which arrhythmias are suspected or need to be excluded; and c) dyspnea (shortness of breath).
- Patients with palpitations with or without known arrhythmias to obtain correlation of 3. rhythm with symptoms.
Prescription Use (Part 21 CFR 801 Subpart D)
AND/OR
Over-The-Counter Use (21 CFR 801 Subpart C)
(PLEASE DO NOT WRITE BELOW THIS LINE-CONTINUE ON ANOTHER PAGE IF NEEDED)
Concurrence of CDRH, Office of Device Evaluation (ODE)
Blamema
scular Devices
Page 1 of 2
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- Patients who require monitoring of effect of drugs to control ventricular rate in 4. various atrial arrhythmias (e.g. atrial fibrillation).
- Patients recovering from cardiac surgery who are indicated for outpatient arrhythmia 5. monitoring.
- Patients with diagnosed sleep disordered breathing including sleep apnea 6. (obstructive, central) to evaluate possible nocturnal arrhythmias
- Patients requiring arrhythmia evaluation of etiology of stroke or transient cerebral 7. ischemia, possibly secondary to atrial fibrillation or atrial flutter
- Data from the device may be used by another device to analyze, measure or report 8. QT interval. The device is not intended to sound any alarms for QT interval changes
#### Contraindications:
- Patients with potentially life-threatening arrhythmias who require inpatient 1. monitoring.
- Patients who the attending physician thinks should be hospitalized. 2.
elwise
Jivision Sign-Off vision of Cardiovascular Devices
510(k) Number
Page 2 of 2
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### 510(k) Summary
# 510(k) Summary
## Date: 08/11/2005
2007 1 8 200
#### Submitter Name and Address CardioNet, Inc. 1010 2nd Avenue, Suite 700
Contact Person: Jack Gaikwad 619-243-7527
San Diego, CA 92101
| Name of Device<br>Trade/Proprietary Name: | Model 1002 - CardioNet ECG Monitor with<br>Arrhythmia Detection |
|-------------------------------------------|-----------------------------------------------------------------|
| Common/Usual Name: | Arrhythmia detector and alarm |
| Classification Name: | CFR §870.1025 Procode DSI 'Arrhythmia Detector<br>and Alarm' |
| Class: | Class II, Special Controls |
#### Predicate Device
CardioNet Ambulatory ECG Monitor, (K012241)
#### Substantial Equivalence
The features and functions of the CardioNet ECG Monitor with Arrhythmia Detection, Model 1002 are substantially equivalent to the previously cleared CardioNet Ambulatory ECG Monitor with Arrhythmia Detection, (K012241).
#### Intended Use
The CardioNet ECG Monitor with Arrhythmia Detection, Model 1002 is intended to be used for ambulatory diagnostic monitoring for cardiac arrhythmias. The specific indication statements differ slightly from those of the predicate device. These changes are intended to update terminology and provide examples of clinical usage scenarios. These changes do not affect the intended use or affect the safety and effectiveness of the device.
#### Device Description
The CardioNet ECG Monitor with Arrhythmia Detection is an ambulatory ECG monitor with capability to detect cardiac arrhythmias and transmit ECG data to a CardioNet staffed monitoring center.
The subject device is comprised of three (3) main components: 1) a patient-worn Sensor, 2) a Monitor and 3) a charqing Base.
> CardioNet, Inc 1010 2nd Avenue, Suite 700 San Diego, CA 92101 (619) 243-7500
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2 " . 1 - 4 -
A Sensor acquires the ECG signal from the patient's body and transmits the signal to PDA sized monitor where the data is stored and analyzed by an automated arrhythmia analysis algorithm. When an arrhythmic event is defected the monitor can transmit the ECG data to the monitoring center utilizing a cellular modem or telephone data line. The patient can also initiate the recording and transmission of ECG data if symptoms are felt. The data is received and reviewed by trained technicians using the Monitoring Services Application.
#### Technological comparison to predicate device
The CardioNet ECG Monitor with Arrhythmia Detection differs from the predicate device only with respect to the arrhythmia analysis algorithm. The predicate device included an arrhythmia analysis algorithm licensed from Mortara Instrument. The new algorithm was developed by CardioNet and includes the same functions supplied by the previous algorithm.
### Summary of Performance Testing
Performance testing was performed in accordance with FDA Class II Special Controls Guidance Document: Arrhythmia Detector and Alarm. The CardioNet Ambulatory ECG Monitor meets or intends to conform to the applicable standards suggested in the guidance document including:
- ANSI/AAMI EC 38: 1998 Ambulatory Electrocardiographs .
- ANSI/AAMI EC 57: 1998 Testing and Reporting Performance Results of . Cardiac Rhythm and ST Segment Measurement Algorithms
- International Electrotechnical Commission (IEC) 60601-1 Medical Electrical . Equipment - Part 1: General Requirements for Safety
#### Conclusions
As stated above, CardioNet's conclusion is that the CardioNet ECG Monitor with Arrhythmia Detection, Model 1002 is safe, effective, is substantially equivalent to the predicate device and will comply with appropriate medical device standards and FDA special controls guidance prior to market release.
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.