ST/AR ST AND ARRHYTHMIA SOFTWARE MODEL: RELEASE K.O
K101521 · Philips Medical Systems · MHX · Jul 29, 2010 · Cardiovascular
Device Facts
Record ID
K101521
Device Name
ST/AR ST AND ARRHYTHMIA SOFTWARE MODEL: RELEASE K.O
Applicant
Philips Medical Systems
Product Code
MHX · Cardiovascular
Decision Date
Jul 29, 2010
Decision
SESE
Submission Type
Special
Regulation
21 CFR 870.1025
Device Class
Class 2
Attributes
Pediatric
Indications for Use
Where the clinician decides to monitor cardiac arthythmia of adult, pediatric, and neonatal patients and/or ST segment of adult patients to gain information for treatment, to monitor adequacy of treatment, or to exclude causes of symptoms. The intended use of the ST/AR cardiotach is to monitor a neonatal, pediatic, or adult patient's ECG for heart rate and produce events/alarms for one or two ECG leads. The cardiotach function is capable of monitoring both paced and non-paced patients. The intended use of the ST/AR arrhythmia analysis algorithm is to monitor a neonatal, pediation of adult patient ECG's for heart rate and ventricular arthythmias, and produce events/alarms for one or two ECG leads. The arrhythmia analysis algorithm is capable of monitoring both paced and non-paced patients. The intended use of the ST/AR ST analysis algorithm is to monitor an adult patient's ECG for ST segment elevation or depression and produce events/alarms for all possible ECG leads. The ST analysis algorithm is capable of monitoring paced and non-paced adult patients. Note: The ST algorithm does not analyze ventricularly paced or ventricular ectopic beats. The intended use of the ST/AR QT/QTc analysis is for use by the physician in the risk assessment process indicated for neonatal, pediatic and adult patients with and without symptoms of arrhythmia. OT measurement is intended to be used by qualified health professionals in hospital or clinical environments. Composite QT (single or multi-lead derived) measures the interval only and is not intended to produce any interpretation or diagnosis of those measurements. EASI ECG is intended for monitoring multiple leads of ECG of adults, pediatrics and neonates. EASI ECG is indicated for use by health care professionals whenever there is a need to monitor ECG of adult, pediatric, or neonatal patients including arrhythmia monitoring or ST segment changes of adult patients, to gain information for treatment, to monitor adequacy of treatment, or to exclude causes of symptoms. RLS ECG is intended for monitoring multiple leads of ECG of adults. RLS ECG is indicated for use by health care professionals whenever there is a need to monitor ECG of adult patients including arrhythmia, ST segment changes, and QT/QTc, to gain information for treatment, to monitor adequacy of treatment, or to exclude causes of symptoms.
Device Story
Philips ST/AR ST and Arrhythmia Software (Release K.0) is a software-based enhancement for patient monitoring systems. It processes ECG signals to provide heart rate, arrhythmia detection, ST segment analysis, and QT/QTc interval measurement. Key features include derived 12-lead ECG (RLS ECG) from 6-electrode sets, enhanced AF/Irregular HR alarm detection, and improved QT/ST analysis. Operated by clinicians in hospital environments, the software provides real-time events and alarms to support clinical decision-making regarding patient treatment and symptom evaluation. It supports both paced and non-paced patients.
Clinical Evidence
Bench testing only. Verification and validation activities included system-level tests, performance tests, and hazard analysis. Pass/Fail criteria were based on specifications cleared for the predicate devices. Results demonstrated substantial equivalence.
Technological Characteristics
Software-based ECG analysis algorithm. Features derived 12-lead ECG (RLS) from 6-electrode input. Supports arrhythmia, ST segment, and QT/QTc analysis. Compatible with paced and non-paced patients. Operates as part of a patient monitoring system.
Indications for Use
Indicated for neonatal, pediatric, and adult patients requiring cardiac arrhythmia monitoring, ST segment monitoring (adults only), and QT/QTc interval monitoring. Used by healthcare professionals in clinical/hospital settings to assess treatment efficacy or exclude symptom causes. Contraindicated for ST analysis in ventricularly paced or ventricular ectopic beats.
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}------------------------------------------------
Kiołszl
## Philips Medical Systems
1 - 1 -
PHILIPS
This summary of 510(k) safety and effectiveness information is submitted in accordance with the requirements of the Safe Medical Devices Act of 1990 and 21 CFR 8807.92.
- 】. The submitter of this premarket notification is: Lois Giegerich RN Quality Specialist/Clinician Philips Medical Systems 3000 Minuteman Road. Andover, Massachusetts 01810-1099 Tel: 978-659-7809 Fax: 978-659-4481 e-mail: lois.giegerich@philips.com
JUL 2 9 2010
This summary was prepared on May 28, 2010.
- 2. The name of this device is the Philips ST/AR ST and Archythmia Software, Release K.O. Classification names are as follows:
| Classification | ProCode | Description |
|----------------|---------|----------------------------------------|
| 870.1025, II | 74 MLD | Monitor, ST Alarm |
| 870.1025, II | 74 DSI | Arrhythmia Detector and Alarm |
| None | 74 MHX | Physiological Monitor, Patient Monitor |
- 3. The new device is substantially equivalent to the previously cleared ST/AR ST and Arrhythmia Software device marketed pursuant to K080461, K964122, K991773, K001348, K003621, K014261, K021251, K033513, K040357, K070260 and the Philips ECG Algorithm K073376, the Philips EASI ECG K033515, the GE 12RL Algorithm K060307, and the Siemens Infinity MultiView Workstation K030738.
- 4. The modification is a software-based change that adds the following features:
- · Support derived 12-lead ECG (RLS ECG) from a 6-electrode lead set.
- · Provide enhanced AF and Irregular HR alarms detection
- · Provide enhanced QT and ST analysis and alarms.
- ನ್ನ The new device has the same Indications for Use and Intended Use as the legally marketed predicate devices.
- 6. The new device has the same technological characteristics as the legally marketed predicate devices.
- 7. Verification, validation, and testing activities establish the performance, functionality, and reliability characteristics of the new device with respect to the predicate. Testing involved system level tests, performance tests, and safety testing from hazard analysis. Pass/Fail criteria were based on the specifications cleared for the predicate device and
{1}------------------------------------------------
・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・・
سم
test.results showed substantial equivalence. The results demonstrate that ST/AR Release K.O meets all defined reliability requirements and performance claims.
:
·
: ·
!
『
.
:
," ነ
{2}------------------------------------------------
DEPARTMENT OF HEALTH & HUMAN SERVICES
Image /page/2/Picture/1 description: The image shows the logo for the U.S. Department of Health & Human Services. The logo features a stylized eagle or bird-like symbol with three curved lines representing its body and wings. The text "DEPARTMENT OF HEALTH & HUMAN SERVICES - USA" is arranged in a circular fashion around the bird symbol.
Food and Drug Administration 10903 New Hampshire Avenue Document Control Room -WO66-G609 Silver Spring, MD 20993-0002
JUL 2 9 2010
Philips Medical Systems c/o Ms. Lois Giegerich Quality Specialist/Clinician 3000 Minuteman Road Andover, MA 01810-1099
Re: K101521
Device Name: Philips ST/AR ST and Arrhythmia Software, Release K.0 Regulation Number: 21 CFR 870.1025 Regulation Name: Patient Physiological Monitor (With Arrhythmia Detection or Alarms) Regulatory Class: Class II (Two) Product Codes: MHX, MLD, DSI Dated: June 30, 2010 Received: July 8. 2010
Dear Ms. Giegerich:
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.
{3}------------------------------------------------
Page 2 - Ms. Lois Giegerich
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-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 go to http://www.fda.gov/AboutFDA/CentersOffices/CDRH/CDRHOffices/ucm1.1.5809.htm for the Center for Devices and Radiological Health's (CDRH's) Office of Compliance. Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21CFR 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 Small Manufacturers, International and Consumer Assistance at its toll-free number (800) 638-2041 or (301) 796-7100 or at its Internet address
http://www.fda.gov/MedicalDevices/Resourcesfor You/Industry/default.htm.
Sincerely yours,
Prem D. Zuckerman, M.D.
Bram D. Zuckerman, M.D. Director Division of Cardiovascular Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
{4}------------------------------------------------
|40| S2|
## 1.1 ODE Indications Statement
Indications for Use
510(k) Number (if known): K101521
Device Name: ST/AR ST and Arrhythmia Software
Indications for Use:
Where the clinician decides to monitor cardiac arthythmia of adult, pediatric, and neonatal patients and/or ST segment of adult patients to gain information for treatment, to monitor adequacy of treatment, or to exclude causes of symptoms.
The intended use of the ST/AR cardiotach is to monitor a neonatal, pediatic, or adult patient's ECG for heart rate and produce events/alarms for one or two ECG leads. The cardiotach function is capable of monitoring both paced and non-paced patients.
The intended use of the ST/AR arrhythmia analysis algorithm is to monitor a neonatal, pediation of adult patient ECG's for heart rate and ventricular arthythmias, and produce events/alarms for one or two ECG leads. The arrhythmia analysis algorithm is capable of monitoring both paced and non-paced patients.
The intended use of the ST/AR ST analysis algorithm is to monitor an adult patient's ECG for ST segment elevation or depression and produce events/alarms for all possible ECG leads. The ST analysis algorithm is capable of monitoring paced and non-paced adult patients.
Note: The ST algorithm does not analyze ventricularly paced or ventricular ectopic beats.
The intended use of the ST/AR QT/QTc analysis is for use by the physician in the risk assessment process indicated for neonatal, pediatic and adult patients with and without symptoms of arrhythmia. OT measurement is intended to be used by qualified health professionals in hospital or clinical environments. Composite QT (single or multi-lead derived) measures the interval only and is not intended to produce any interpretation or diagnosis of those measurements.
EASI ECG is intended for monitoring multiple leads of ECG of adults, pediatrics and neonates. EASI ECG is indicated for use by health care professionals whenever there is a need to monitor ECG of adult, pediatric, or neonatal patients including arrhythmia monitoring or ST segment changes of adult patients, to gain information for treatment, to monitor adequacy of treatment, or to exclude causes of symptoms.
RLS ECG is intended for monitoring multiple leads of ECG of adults.
RLS ECG is indicated for use by health care professionals whenever there is a need to monitor ECG of adult patients including arrhythmia, ST segment changes, and QT/QTc, to gain information for treatment, to monitor adequacy of treatment, or to exclude causes of symptoms.
| Prescription Use (Part 21 CFR 801 Subpart D) | YES | AND/OR | Over-The-Counter Use NO (21 CFR 801 Subpart C) |
|----------------------------------------------|-----|--------|------------------------------------------------|
|----------------------------------------------|-----|--------|------------------------------------------------|
(PLEASE DO NOT WRITE BELOW THIS LINE-CONTINUE ON ANOTHER PAGE OF NEEDED).
Concurrence of CDRH, Office of Device Evaluation (ODE)
(Division Sign-Off)
Division of Cardiovascular Devices
| 510(k) Number | K101521 |
|---------------|---------|
|---------------|---------|
JUL 2 5 2010
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.