The Prizma device is indicated to measure, record and transmit ECG one-lead data, and to measure, record, display and transmit heart rate, peripheral oxygen saturation and skin temperature data. The device utilizes a mobile platform to initiate user actions (test, display and data transfer by email) through the mobile application. The device does not perform diagnostic functions.
Device Story
Prizma is a mobile device jacket consisting of a sensor unit, silicone smartphone cover, and mobile app. Sensors include one-lead ECG, photoplethysmography (SpO2), and IR skin thermometer. Device operates via smartphone app; user initiates tests, views data, and transmits results via email. Data stored on smartphone via secured BLE. Intended for adult patients; spot measurement only. Provides physiological data to healthcare providers to assist in clinical decision-making; does not perform diagnostic functions.
Clinical Evidence
Clinical validation of SpO2 function conducted at Bickler Ye Hypoxia Research Laboratory with 12 subjects (including dark skin) under hypoxia. Compared against Radiometer OSM-3R Hemoximeter. Primary endpoint: root-mean-square (Arms) difference. Results: Arms of 2.33% in 70-100% SpO2 range, meeting ISO 80601-2-61 requirement (≤3.5%). ECG and temperature performance supported by bench testing and standards compliance.
Technological Characteristics
Polycarbonate sensor housing; silicone smartphone jacket. Sensors: 1-lead ECG, photoplethysmography (SpO2), Melexis MLX-90615 IR thermometer. Connectivity: Bluetooth Low Energy (BLE) to smartphone. Standards: IEC 60601-2-47 (ECG), ISO 80601-2-56 (thermometer), ISO 80601-2-61 (pulse oximeter), ANSI/AAMI EC57:2012 (QRS detection).
Indications for Use
Indicated for adult patients to measure, record, and transmit one-lead ECG, heart rate, peripheral oxygen saturation (SpO2), and skin temperature.
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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Food and Drug Administration 10903 New Hampshire Avenue Document Control Center - WO66-G609 Silver Spring, MD 20993-0002
September 1, 2017
G-Medical Innovations Ltd. % Jonathan Kahan Partner Hogan Lovells US LLP Columbia Square, 555 Thirteenth Street, NW Washington, District of Columbia 20004
Re: K170181
Trade/Device Name: Prizma Regulation Number: 21 CFR 870.2920 Regulation Name: Telephone Electrocardiograph Transmitter and Receiver Regulatory Class: Class II Product Code: DXH, DQA, FLL Dated: August 1, 2017 Received: August 1, 2017
Dear Jonathan Kahan:
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
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Part 807); labeling (21 CFR Part 801); medical device reporting of medical devicerelated 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 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/MedicalDevices/ResourcesforYou/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& Millelemen
for Director Division of Cardiovascular Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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### DEPARTMENT OF HEALTH AND HUMAN SERVICES Food and Drug Administration Indications for Use
Form Approved: OMB No. 0910-0120 Expiration Date: January 31, 2017 See PRA Statement on last page
510(k) Number (if known)
K170181
Device Name
Prizma
Indications for Use (Describe)
The Prizma device is indicated to measure, record and transmit ECG one-lead data, and to measure, record, display and transmit heart rate, peripheral oxygen saturation and skin temperature data. The device utilizes a mobile platform to initiate user actions (test, display and data transfer by email) through the mobile application. The device does not perform diagnostic functions.
Intended population: adult patients.
Type of Use (Select one or both, as applicable)
区 Prescription Use (Part 21 CFR 801 Subpart D) Subpart C)
□ Over-The-Counter Use (21 CFR 801
# CONTINUE ON A SEPARATE PAGE IF NEEDED.
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# K170181
## 510(k) SUMMARY
## G-Medical Innovations Ltd., Prizma Device
| Submitter | | |
|-----------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------|
| Company: | G-Medical Innovations Ltd. | |
| Address:<br>Phone:<br>Facsimile:<br>Contact Person:<br>Date Prepared: | 5 Openheimer St., Park Rabin, Rehovot, 7670105, Israel<br>972-8-9584777<br>972-8-9584783<br>N. Epstein<br>September 1, 2017 | |
| Name of Device: Prizma | | |
| Common or Usual Name: | | Transmitters and Receivers, Electrocardiograph, Telephone |
| | | Oximeter |
| Classification Name: | | 870.2920 Telephone electrocardiograph transmitter and receive |
| | | 870.2700 Oximeter |
| Requlatory Class: | | 2 |
| Product Code: | | DXH, DQA, FLL |
# PREDICATE DEVICES
Card Guard Scientific Survival, Health-ePod, K083174
SpO Medical, PulseOx 5500 Finger Device, K040178
Radiometer, OSM-3 Hemoximeter, K853990 (reference device in oximeter trial)
# DEVICE DESCRIPTION
The Prizma is designed in the form of a Mobile Device jacket. The device consists of:
- A sensor unit (Prizma device) embedded with electronics and physiological sensors, in . polycarbonate housing.
- A silicone cover to mechanically receive the sensor unit and form a "Jacket" that is attached to the ● back of the smartphone. Cover design can be modified from one smartphone to another to fit the different dimensions.
- Prizma mobile App, installed on a smartphone, for operating the Prizma device.
- A medical power adapter
The physiological sensors housed in the Medical Capsule are as follows
- One lead ECG sensor, recording + heart rate measurement, derived out of ECG data; ●
- Photo-plethysmography, Peripheral capillary Oxygen Saturation (SPO2) measurement; .
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- Skin temperature thermometer using IR; .
#### INDICATIONS FOR USE
The Prizma device is indicated to measure, record and transmit ECG one-lead data, and to measure, record, display and transmit heart rate, peripheral oxygen saturation and skin temperature data. The device utilizes a mobile platform to initiate user actions (test, display and data transfer by email) through the mobile application. The device does not perform diagnostic functions.
Intended population: adult patients.
#### SUMMARY OF TECHNOLOGICAL CHARACTERISTICS
The following technological differences exist between the subject and predicate devices:
The main difference is the addition of the mobile application that controls the device.
The user downloads the application, and pairs the Prizma BLE with smartphone. To run tests, the Prizma application is touched, whereby main screen open with large test icons. Upon touching a test icon, the test screen opens with instructions how to make contact with sensor. Upon test end, the user can add comments to tests and send results via email.
In addition, at end of the tests, the data is automatically transferred over secured BLE protocol from the Prizma to the smartphone where they are stored. Browsing test results history (last five tests) can be performed by touching the Browse icon.
The performance of the sensors against their predicate is summarized below.
### ECG
From technology perspective and parameters defined by the standards, both devices are essentially identical. There are some small differences between the devices, such as the dynamic range, which is better in the Prizma due to the fact that the Prizma was designed to comply with IEC-60601-2-47 which is a newer standard that requires better performance, compare to the EC-38 (1998) that the HealthePod was designed to comply with.
In addition, for some parameters, the Prizma performed even better than the Health-ePod (e.g. sampling rate, resolution, heart rate range), which is due to technology and chip improvements over time.
The largest difference between the Prizma and the Health-ePod is the use of the mobile application which the Prizma which is expected to simplify device use as cell phones have larger screens than that used in the Health-ePod. Another difference is that the Prizma is intended solely for adults while the Health-ePod is intended also for pediatric use.
### SpO2
The SpO2 sensor in the Prizma and the PulseOx 5500 finger device are similar. From a technology point of view, both devices use the finger to measure the oxygen saturation level. Both devices use reflective technology with similar ranges of wavelength. Both devices report 40% to 100% saturation.
The difference between the devices are minor and are primarily related to the fact that the PulseOx 5500 can be used continuously while the Prizma can be used for spot measurement. In addition, like in
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the case of the ECG, the use of mobile app is expected to simplify the test by using a larger screen, animation that explain how to do the test, and an indication when the test is over.
## Temperature
From technology point of view, the Health-ePod and the Prizma are identical. Both use the Melexis IR sensor. Both devices measure the skin temperature from the same position on the body (behind the Earlobe). The Health-ePod uses the MLX-90614 and the Prizma uses the MLX-90615 which is the newer generation of the MLX 90614 sensor. The relevant differences between the sensors are the thermal stability which is better in the MLX-90614. This is mostly due to the housing size of the 90614, which is bigger but can be easily resolved by using a metal cap on the 90615 as we did in our design to improve the stability.
The resolution, although better in the 90614, doesn't have clinical significance when measuring skin / body temperature. The measurement range is bigger in the 90614 due to its larger size, but in case of human skin and body temperature, the clinically relevant range can be measured by both devices.
Both devices can measure skin temperature accurately. The Health-ePod uses a look-up table which was developed based on a clinical trial to convert the skin temperature to body temperature.
Finally, the Prizma, like in the ECG and SpO₂, uses the Mobile App to initiate the test in a convenient manner.
## Conclusion:
The differences between the device and its predicates do not raise different types of safety and effectiveness questions. Differences between the devices are supported by testing at least equivalent performance. Therefore, the device is substantially equivalent to its predicate devices.
# PERFORMANCE DATA
The Prizma was tested according to the following standards:
- 1. IEC60601-2-47 Ed. 2.0 Medical electrical equipment - Part 2-47: Particular requirements for the safety, including essential performance, of ambulatory electrocardiographic systems.
- 2. ISO 80601-2-56 Ed. 1.0 Medical electrical equipment -- Part 2-56: Particular requirements for basic safety and essential performance of clinical thermometers for body temperature measurement.
- 3. ISO 80601-2-61 Ed. 1.0 Medical electrical equipment Part 2-61: Particular requirements for basic safety and essential performance of pulse oximeter equipment.
In addition, the following testing was conducted:
- 1. QRS detection and HR measurement test (according to ANSI/AAMI EC57:2012)
- 2. Prizma QRS Detection Validation by means of a Signal Simulator
- 3. Usability testing per IEC 62366-1:2015
### CLINICAL DATA
### Clinical Validation Prizma Finger Oximeter
The SpO2 function was validated in a clinical study at the Bickler Ye Hypoxia Research Laboratory, Shenzhen Medical University, China (report # BYL20160415).
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The study protocol was established based on the pulse oximetry guidelines of ISO 80601-2-61 and consisted of blood gas analysis to determine oxyhemoglobin saturation in 12 subjects (including dark skin) subiected to hypoxia conditions followed by measurements from the finger. The reference device was OSM-3R multi-wavelength oximeter (Hemoximeter, Radiometer, Copenhagen).
#### Conclusion of the study
ISO 80601-2-61 specifies that the SpO2 accuracy of pulse oximeter shall be the root-mean-square difference of less than or equal to 3.5 % SpO2 over the range of 70 % to 100 % SpO2. Accuracy of the tested device shall be stated in terms of the rms difference between its measured values and the reference values of the reference device.
In the range of the Prizma device SpO2 function, 70 - 100%, the a-rms was 2.33. Based on the clinical performance, the Prizma has a safety and effectiveness profile that is similar to the predicate device.
## CONCLUSIONS
The Prizma device is as safe and effective as the Health-ePod and PulseOx 5500 Finger Devices. The Prizma has the same intended uses and similar indications, technological characteristics, and principles of operation as its predicate devices. In addition, the minor technological differences between the Prizma and its predicate devices raise no new issues of safety or effectiveness. Performance data demonstrate that the Prizma is as safe and effective as the Health-ePod and PulseOx 5500 Finger Device. Thus, the Prizma is substantially equivalent.
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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
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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.
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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
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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.