K171816 · AliveCor, Inc. · DXH · Nov 16, 2017 · Cardiovascular
Device Facts
Record ID
K171816
Device Name
Kardia Band System
Applicant
AliveCor, Inc.
Product Code
DXH · Cardiovascular
Decision Date
Nov 16, 2017
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 870.2920
Device Class
Class 2
Attributes
Software as a Medical Device
AI Performance
Output
Algorithm
Acceptance
Observed
Dev DS
Dev Readers
Test DS
Test Readers
Atrial fibrillation detection
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Normal sinus rhythm detection
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Indications for Use
The Kardia Band System is intended to record, store and transfer single-channel electrocardiogram (ECG) rhythms. The Kardia Band System also displays ECG rhythms and detects the presence of atrial fibrillation and normal sinus rhythm (when prescribed or used under the care of a physician). The Kardia Band System is intended for use by healthcare professionals, adult patients with known or suspected heart conditions and health conscious individuals.
Device Story
Kardia Band System is a trans-telephonic ECG event recorder integrated into an Apple Watch band. User completes electrical circuit by touching electrode on watchband with opposite hand; device captures single-channel ECG signal. Signal transmitted via ultrasonic acoustics to Apple Watch and iPhone apps for analysis, display, and storage. Used by patients or healthcare professionals in ambulatory settings. Output provides ECG waveform and automated detection of atrial fibrillation or normal sinus rhythm. Data synced to user account for review by healthcare providers to assist in cardiac rhythm diagnosis and clinical decision-making.
Clinical Evidence
Clinical performance testing demonstrated that the Kardia Band System generates rhythm strip data meeting clinical quality requirements for cardiac rhythm diagnosis. Study results showed strong mathematical correlation and qualitative clinical equivalence to the predicate device, meeting all qualitative and quantitative acceptance criteria.
Technological Characteristics
Single-lead ECG system; 2 electrodes; 16-bit resolution; 300 samples/second; 0.5-40 Hz frequency response. Powered by Lithium Manganese Dioxide coin cell (100-hour life). Connectivity via ultrasonic acoustics to Apple Watch/iPhone. Form factor: 24.5 x 24.5 x 6.5 mm, 9g. Standards: IEC 60601-1:2012, IEC 60601-1-2:2014, IEC 60601-2-47:2012.
Indications for Use
Indicated for adult patients with known or suspected heart conditions, health-conscious individuals, and healthcare professionals to record, store, and transfer single-channel ECG rhythms and detect atrial fibrillation or normal sinus rhythm.
Regulatory Classification
Identification
A telephone electrocardiograph transmitter and receiver is a device used to condition an electrocardiograph signal so that it can be transmitted via a telephone line to another location. This device also includes a receiver that reconditions the received signal into its original format so that it can be displayed. The device includes devices used to transmit and receive pacemaker signals.
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November 16, 2017
Alivecor, Inc % Anna Libman Senior Manager, Regulatory Affairs Experien Group, LLC 224 Airport Parkway, Suite 250 San Jose, California 95110
Re: K171816
Trade/Device Name: Kardia Band System Regulation Number: 21 CFR 870.2920 Regulation Name: Telephone Electrocardiograph Transmitter and Receiver Regulatory Class: Class II Product Code: DXH, DPS Dated: October 11, 2017 Received: October12, 2017
Dear Anna Libman:
We have reviewed your Section 510(k) premarket notification of intent to market the device referenced above and have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food, Drug, and Cosmetic Act (Act) that do not require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 801); medical device reporting 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.
U.S. Food & Drug Administration 10903 New Hampshire Avenue Silver Spring, MD 20993 www.fda.gov
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If you desire specific advice for your device on our labeling regulation (21 CFR Part 801), please contact the Division of Industry and Consumer Education (DICE) at its toll-free number (800) 638-2041 or (301) 796-7100 or at its Internet address http://www.fda.gov/MedicalDevicesforYou/Industry/default.htm. Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR Part 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to http://www.fda.gov/MedicalDevices/Safety/ReportaProblem/default.htm for the CDRH's Office of Surveillance and Biometrics/Division of Postmarket Surveillance.
You may obtain other general information on your responsibilities under the Act from the Division of Industry and Consumer Education (DICE) at its toll-free number (800) 638-2041 or (301) 796-7100 or at its Internet address http://www.fda.gov/MedicalDevices/ResourcesforYou/Industry/default.htm.
Sincerely,
M.A. Hillebrand
for
Bram D. Zuckerman, M.D. Director Division of Cardiovascular Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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# Indications for Use
510(k) Number (if known)
K171816
Device Name Kardia Band System
Indications for Use (Describe)
The Kardia Band System is intended to record, store and transfer single-channel electrocardiogram (ECG) rhythms. The Kardia Band System also displays ECG rhythms and detects the presence of atrial fibrillation and normal sinus rhythm (when prescribed or used under the care of a physician). The Kardia Band System is intended for use by healthcare professionals, adult patients with known or suspected heart conditions and health conscious individuals.
Type of Use (Select one or both, as applicable)
> Prescription Use (Part 21 CFR 801 Subpart D)
X Over-The-Counter Use (21 CFR 801 Subpart C)
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#### 510(k) Notification K_________________________________________________________________________________________________________________________________________________________
## GENERAL INFORMATION
#### Applicant:
AliveCor, Inc. 444 Castro Street, Suite 600 Mountain View, CA 94041 Phone: 650-396-8553 Fax: 650-282-7932
Applicant Contact Person:
Anna Libman Regulatory Consultant to AliveCor, Inc. Senior Manager, Regulatory Affairs Experien Group, LLC 224 Airport Parkway, Suite 250 San Jose, CA 95110 USA Phone: 408-400-0856 Fax: 408-400-0865 Email: anna@experiengroup.com
Date Prepared:
June 16, 2017
#### DEVICE INFORMATION
Trade Name: Kardia Band System Generic/Common Name: Telephone electrocardiograph transmitter and receiver Classification: 21 CFR \$870.2920, Transmitters and Receivers, Electrocardiograph, Telephone, Class II Product Code: DXH, DPS
### PREDICATE DEVICE(S)
- K142743 AliveCor Heart Monitor (also known as Kardia Mobile) .
K171816 p.1/4
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## 510(k) SUMMARY
#### INDICATIONS FOR USE
The Kardia Band System is intended to record, store and transfer single-channel electrocardiogram (ECG) rhythms. The Kardia Band System also displays ECG rhythms and detects the presence of atrial fibrillation and normal sinus rhythm (when prescribed or used under the care of a physician). The Kardia Band System is intended for use by healthcare professionals, adult patients with known or suspected heart conditions and health conscious individuals.
## DEVICE DESCRIPTION
The Kardia Band System is a trans-telephonic (transmission by telephone) ECG (electrocardiogram) event recorder that records, stores and transfers single-channel electrocardiogram rhythms. The device utilizes the computing power of the Apple, Inc. Apple Watch to obtain and analyze single-channel ECG. The Kardia Band System consists of the Kardia Band Hardware (watchband), the Kardia watch app software (installed on the Apple Watch), and the Kardia phone app software (installed on the Apple iPhone). The Kardia Band System transmits the ECG signal from its electrode to the Kardia watch app on the Apple Watch to be analyzed and presented to the user. All ECGs are synced with the user's account.
| Feature | Kardia Band System | Kardia Mobile<br>K142743 |
|------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------|
| Product Code | DXH, DPS | Same |
| Mechanism of<br>Action | User completes circuit with skin contact<br>and hardware transmits audio signal to<br>MCP to convert and display ECG<br>waveform | Same |
| Where used<br>(intended use) | Mobile/active users at rest (ambulatory) | Same |
| Anatomical sites | Left hand fingers to right wrist or vice<br>versa | Left hand fingers to right hand fingers |
| Data Acquisition: | | Same |
| Frequency<br>Response | 0.5 Hz - 40 Hz | |
| ECG channels | Single Channel | |
| Resolution | 16 bit | |
| Sample Rate | 300 Samples/Second | |
| Memory<br>Capacity: | Essentially unlimited due to real-time<br>transmission to MCP memory (size of<br>ECG file is miniscule – kilobytes<br>compared to device memory capacity -<br>gigabytes) | Same |
Physical and Technological Characteristics of the Kardia Band System
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## 510(k) SUMMARY
| Feature | Kardia Band System | Kardia Mobile<br>K142743 |
|--------------------------------------|--------------------------------------------------------------------|----------------------------------------|
| Number of ECG<br>Leads | Single lead, 2 electrodes | Same |
| Power Supply: | Same | Same |
| Battery<br>Battery Life<br>(typical) | 1 Lithium Manganese Dioxide Coin<br>Cells<br>100 hours operational | Same |
| User Interface: | | |
| Primary Lead | Lead I, Left to Right | Same |
| Data acquisition | Ultrasonic acoustics | Same |
| Hardware | Apple Watch Band and Sensor | iPhone Case and Universal Module |
| Software<br>interface | Apple iOS based software and Apple<br>WatchOS based software | Apple iOS based software |
| Physical Specs: | | |
| Dimensions | 24.5 x 24.5 x 6.5 mm | 118 x 62 x 16.5 mm |
| Weight | 9 grams | 40 grams |
| Prescribed: | Prescription and OTC | Same |
| Environmental: | | Same |
| Operating Temp | 10 to 40 degrees C | |
| Storage Temp | -20 to 60 degrees C | |
| Communications | Ultrasonic Acoustics acquired by watch | Ultrasonic Acoustics acquired by phone |
# SUBSTANTIAL EQUIVALENCE
The Kardia Band System is substantially equivalent to the previously cleared Kardia Mobile product (AliveCor Heart Monitor hardware and software (K142743), also known as Kardia Mobile). The new Kardia Band System has been redesigned to fit on an Apple Watch band and has the same intended use and similar technological characteristics as those of the predicate device. Differences in technological characteristics have been evaluated through performance testing, and therefore the proposed device is substantially equivalent to the predicate device.
## NONCLINICAL TESTING IN SUPPORT OF SUBSTANTIAL EQUIVALENCE DETERMINATION
All necessary performance testing was conducted on the Kardia Band System to support a determination of substantial equivalence to the predicate device. This testing included testing to the following standards: IEC 60601-1:2012 Medical Electrical Equipment -Part 1: General Requirements For Basic Safety And Essential Performance, IEC 60601-1-2:2014 Medical Electrical Equipment - Part 1-2: General Requirements For Basic Safety And Essential Performance - Collateral Standard: Electromagnetic Compatibility - Requirements And Tests, and IEC 60601-2-47:2012 Medical Electrical Equipment --
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## 510(k) SUMMARY
Part 2-47: Particular Requirements For The Basic Safety And Essential Performance Of Ambulatory Electrocardiographic Systems. The collective results of the non-clinical testing demonstrate that the Kardia Band System meets the established specifications and complies with the aforementioned standards.
## CLINICAL TESTING IN SUPPORT OF SUBSTANTIAL EQUIVALENCE DETERMINATION
Clinical performance testing was conducted to demonstrate that the AliveCor Kardia Band System generates rhythm strip data that meets the clinical quality requirements for accurate cardiac rhythm diagnosis.
The presented data shows very strong mathematical correlation and qualitative clinical equivalence. The study is sufficient to draw a conclusion of substantial equivalence based on meeting qualitative and quantitative acceptance criteria.
## CONCLUSION
The results of both clinical and nonclinical testing demonstrate that the Kardia Band System is substantially equivalent to the predicate device.
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.