Clinical patient cohort undergoing right heart catheterization
Retrospective clinical validation of stroke volume and cardiac output measurements compared against standard clinical methods (Fick method and thermodilution).
Ambulatory congestive heart failure patients; Sample Size: 90 recruited (80-82 included in final analyses)
Indirect Fick method and thermodilution (TD)
Cardiac output (CO) and stroke volume (SV) accuracy
Indications for Use
The Biobeat Platform-2 is a wireless non-invasive remote monitoring system intended for use by healthcare professionals for spot check collection of physiological data in home and healthcare settings. This can include, functional oxygen saturation of arterial hemoglobin (%SpO2), pulse rate, blood pressure, respiration rate (RRp), hemodynamic parameters (stroke volume, cardiac output), and body temperature. The Biobeat Platform-2 tracks changes in blood pressure based on Pulse Wave Transit Time (PWTT) which is obtained utilizing pulse measurements from the integrated SpO2 sensor, following a calibration process using an FDA-cleared oscillometric blood pressure monitor. The Biobeat Platform-2 is intended for spot-checking and tracking changes of adult patients in hospitals, clinics, long-term care, and at home. The data from the Biobeat Platform-2 are intended for use by healthcare professionals as an aid to diagnosis and treatment. The device is not intended for use on critical care patients.
Device Story
Wireless chest-worn patch; collects physiological data via LEDs (red/IR) and photodiode (pulse reflectance) and thermistors (temperature). Inputs: light reflectance signals, thermistor data. Processing: calculates SpO2, pulse rate, respiration rate (via photoplethysmogram cyclic variations), and blood pressure (via Pulse Wave Transit Time/PWTT calibrated against oscillometric monitor). New algorithm added for stroke volume and cardiac output. Data transmitted via Bluetooth to gateway, then cloud; presented via web application for clinician review. Used by healthcare professionals for spot-checking adult patients in hospitals, clinics, long-term care, or home. Output aids diagnosis and treatment decisions. Benefits: non-invasive, remote monitoring of hemodynamic parameters without invasive catheterization.
Clinical Evidence
Retrospective clinical validation study in 90 ambulatory congestive heart failure patients (19-89 years). Compared non-invasive Biobeat PPG-based cardiac output (CO) measurements against indirect Fick method and thermodilution (TD). Bland-Altman analysis showed limits of agreement (LOA) within 30% for PPG vs. Fick and PPG vs. TD.
Technological Characteristics
Adhesive chest patch; polycarbonate, silicone, photodiode window. Sensing: pulse reflectance (4 LEDs: red/IR) and thermistors. Energy: battery-powered, wireless BLE. Connectivity: gateway to cloud, web app display. Software: cloud-based algorithms for hemodynamic parameters. Non-sterile. Operation time: 120 hours.
Indications for Use
Indicated for adult patients in hospitals, clinics, long-term care, and home settings for spot-check collection of physiological data (SpO2, pulse rate, blood pressure, respiration rate, stroke volume, cardiac output, body temperature). Not indicated for critical care patients.
Regulatory Classification
Identification
An oximeter is a device used to transmit radiation at a known wavelength(s) through blood and to measure the blood oxygen saturation based on the amount of reflected or scattered radiation. It may be used alone or in conjunction with a fiberoptic oximeter catheter.
EV1000 Clinical Platform™ NI with the ClearSight™ Finger Cuffs or ClearSight™ System (K182245)
Submission Summary (Full Text)
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December 30, 2022
BioBeat Technologies Ltd. % John Smith Partner Hogan Lovells U.S. LLP 555 Thirteenth Street NW Washington, District of Columbia 20004
Re: K222010
Trade/Device Name: Biobeat Platform-2 Regulation Number: 21 CFR 870.2700 Regulation Name: Oximeter Regulatory Class: Class II Product Code: DQA, DXN, DRG, BZQ, FLL, DXG Dated: July 7, 2022 Received: July 7, 2022
Dear John Smith:
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. Although this letter refers to your product as a device, please be aware that some cleared products may instead be combination products. The 510(k) Premarket Notification Database located at https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm identifies.combination product submissions. 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.
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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) for devices or postmarketing safety reporting (21 CFR 4, Subpart B) for combination products (see https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reportingcombination-products); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
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 https://www.fda.gov/medical-device-safety/medical-device-reportingmdr-how-report-medical-device-problems.
For comprehensive regulatory information about medical devices and radiation -emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/medicaldevices/device-advice-comprehensive-regulatory-assistance) and CDRH Learn (https://www.fda.gov/training-and-continuing-education/cdrh-learn). Additionally, you may contact the Division of Industry and Consumer Education (DICE) to ask a question about a specific regulatory topic. See the DICE website (https://www.fda.gov/medical-device-advice-comprehensive-regulatoryassistance/contact-us-division-industry-and-consumer-education-dice) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).
Sincerely.
# Robert T. Kazmierski -S
for LCDR Stephen Browning Assistant Director Division of Cardiac Electrophysiology, Diagnostics, and Monitoring Devices Office of Cardiovascular Devices Office of Product Evaluation and Ouality 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: 06/30/2023 See PRA Statement below.
510(k) Number (if known)
K222010
Device Name
# Biobeat Platform-2
Indications for Use (Describe)
The Biobeat Platform-2 is a wireless nonitoring system intended for use by healthcare professionals for spot check collection of physiological data in home and healthcare settings. This can include, functional oxygen saturation of arterial hemoglobin (%SpO2), pulse rate, blood pressure, respiration rate (RRp), hemodynamic parameters (stroke voltput), and body temperature.
The Biobeat Platform-2 tracks changes in blood pressure based on Pulse Wave Transit Time (PWTT) which is obtained utilizing pulse measurements from the integrated SpO2 sensor, following a calibration process using an FDA-cleared oscillometric blood pressure monitor.
The Biobeat Platform-2 is intended for spot-checking changes of adult patients in hospitals, clinics, long-term care, and at home. The data from the Biobeat Platform-2 are intended for use by healthcare professionals as an aid to diagnosis and treatment. The device is not intended for use on critical care patients.
Type of Use (Select one or both, as applicable) 区 Prescription Use (Part 21 CFR 801 Subpart D)
□ Over-The-Counter Use (21 CFR 801 Subpart C)
# CONTINUE ON A SEPARATE PAGE IF NEEDED.
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# K222010
# 510(k) SUMMARY
# Biobeat Technologies Ltd.'s Biobeat Platform-2
# Submitter:
Biobeat Technologies Ltd. 26 Maqshimim Street Petah Tikva Israel 4934835
Phone: +972 3 933 3022 Facsimile: +972 77 460 1636
Contact Person: Johanan May
Date Prepared: December 29, 2022
Name of Device: Biobeat Platform-2
Common or Usual Name: Cardiopulmonary monitor
#### Classification Name/Product Code:
- 868.2375 Breathing frequency monitor, BZQ ●
- 870.1130 Noninvasive blood pressure measurement system, DXN ●
- 870.1435 Computer, Diagnostic, Pre-Programmed, Single-Function, DXG ●
- 870.2700 Oximeter, DQA ●
- 870.2910 Radiofrequency physiological signal transmitter and receiver, DRG
- 880.2910 Clinical electronic thermometer, FLL ●
# Regulatory Class: Class II
#### Predicate Devices
Biobeat Platform, BB-613WP Patch (K212153) (Primary Predicate) EV1000 Clinical Platform™ NI with the ClearSight™ Finger Cuffs or ClearSight™ System (K182245) (Additional Predicate)
# System Description
The Biobeat Platform-2 includes a sensor device that is attached to the patient's chest to collect physiological data for later review by their healthcare provider. The device consists of a light source (LEDs), thermistors and sensor array on the backside of the device. The LEDs transmit light into the subject's skin and part of this light is reflected from the tissue and detected by a photo-diode. This allows measurement of arterial oxygenation, pulse rate, change in blood pressure, stroke volume, cardiac output, and respiration rate. Body temperature is measured by the thermistors. Data is transmitted to a gateway via Bluetooth and then uploaded to the cloud. From the cloud, data is transmitted and presented in a web application for review by a healthcare professional. The device does not contain any alarms.
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# Intended Use / Indications for Use
The Biobeat Platform-2 is a wireless non-invasive remote monitoring system intended for use by healthcare professionals for spot check collection of physiological data in home and healthcare settings. This can include, functional oxygen saturation of arterial hemoglobin (%SpO2), pulse rate, blood pressure, respiration rate (RRp), hemodynamic parameters (stroke volume, cardiac output), and body temperature.
The Biobeat Platform-2 tracks changes in blood pressure based on Pulse Wave Transit Time (PWTT) which is obtained utilizing pulse measurements from the integrated SpO2 sensor, following a calibration process using an FDA-cleared oscillometric blood pressure monitor.
The Biobeat Platform-2 is intended for spot-checking and tracking changes of adult patients in hospitals, clinics, long-term care, and at home. The data from the Biobeat Platform-2 are intended for use by healthcare professionals as an aid to diagnosis and treatment. The device is not intended for use on critical care patients.
# Summary of Technological Characteristics
The subject and predicate devices are all intended to measure and display physiological signals. The subject device combines the parameters measured by the predicate devices into one device. Specifically, the subject device uses identical technology (i.e., the same sensor units and algorithms) for measuring SpO2, pulse rate, blood pressure, respiratory rate (RRp), and temperature compared to the primary predicate (Biobeat Platform: K212153), which is an earlier iteration of the subject device also manufactured by Biobeat. Both devices are adhesive unit-based devices intended to be attached to the chest to collect the data. In addition to the primary predicate device, a new algorithm, derived from the existing photoplethysmogram, was added for measuring stroke volume and cardiac output. This measurement capability is equivalent to the methodology used by the additional predicate, ClearSight™ System (K182245), to measure the same parameters.
There have been no physical modifications to the BB-613WP Patch itself or to the Biobeat Platform-2 as compared to the version cleared in K212153.
The subject device is supplied and used non-sterile, just like the predicate devices. The subject device uses software to control the device and analyze and display the results. The new software elements have been documented and validated per FDA guidance. The subject device contains electronics that present an electrical hazard and EMC risks. As the electronic components are identical to the primary predicate, repeated safety testing was not needed.
In sum, although there are minor differences in the technological characteristics, these differences do not raise different questions of safety or effectiveness, and the provided testing establishes equivalent performance as compared to the predicate devices.
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| Device (K<br>number) | Subject Device | Primary Predicate Device | Predicate Device |
|------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| | Biobeat Platform-2 / BB-<br>613WP Patch | Biobeat Platform / BB-<br>613WP Patch<br>(K212153) | ClearSight System<br>(K182245) |
| Indications for<br>use | The Biobeat Platform-2 is a<br>wireless noninvasive remote<br>monitoring system intended for use<br>by healthcare professionals for spot<br>check collection of physiological<br>data in home and healthcare<br>settings. This can include,<br>functional oxygen saturation of<br>arterial hemoglobin (%SpO2), pulse<br>rate, blood pressure, respiration<br>rate (RRp), hemodynamic<br>parameters (stroke volume, cardiac<br>output), and body temperature.<br><br>The Biobeat Platform-2 tracks<br>changes in blood pressure based<br>on Pulse Wave Transit Time<br>(PWTT) which is obtained utilizing<br>pulse measurements from the<br>integrated SpO2 sensor, following a<br>calibration process using an FDA-<br>cleared oscillometric blood pressure<br>monitor.<br><br>The Biobeat Platform-2 is intended<br>for spot-checking and tracking<br>changes of adult patients in<br>hospitals, clinics, long-term care,<br>and at home. The data from the<br>Biobeat Platform-2 are intended for<br>use by healthcare professionals as<br>an aid to diagnosis and treatment.<br>The device is not intended for use<br>on critical care patients. | The Biobeat Platform / BB-613WP<br>Patch is a wireless noninvasive<br>remote monitoring system<br>intended for use by healthcare<br>professionals for collection of<br>physiological data in home and<br>healthcare settings. This can<br>include, functional oxygen<br>saturation of arterial hemoglobin<br>(%SpO2), pulse rate, blood<br>pressure, respiration rate, and<br>body temperature.<br><br>The Biobeat Platform tracks<br>changes in blood pressure<br>based on Pulse Wave Transit<br>Time (PWTT) which is obtained<br>utilizing pulse measurements<br>from the integrated SpO2<br>sensor, following a calibration<br>process using an FDA-cleared<br>oscillometric blood pressure<br>monitor.<br><br>The Biobeat Platform is<br>intended for spot- checking<br>and tracking changes of adult<br>patients in hospitals, clinics,<br>long-term care, and home use.<br>The data from the Biobeat<br>Platform are intended for use<br>by healthcare professionals as<br>an aid to diagnosis and<br>treatment. The device is not<br>intended for use on critical<br>care patients. | The EV1000 Clinical Platform<br>NI and the ClearSight™ Finger<br>Cuffs are indicated for patients<br>over 18 years of age in which<br>the balance between cardiac<br>function, fluid status, and<br>vascular resistance needs<br>continuous or intermittent<br>assessment. The EV1000<br>Clinical Platform may be used<br>for the monitoring of<br>hemodynamic parameters in<br>conjunction with a<br>perioperative goal directed<br>therapy protocol. In addition,<br>the non-invasive system is<br>indicated or use in patients<br>with co- morbidities for which<br>hemodynamic optimization is<br>desired and invasive<br>measurements are difficult.<br>The EV1000 Clinical Platform<br>and the ClearSight™ Finger<br>Cuffs noninvasively measures<br>blood pressure and associated<br>hemodynamic parameters. |
| Use Population | Adults | Adults | Adults |
| Use<br>Environment | Hospitals, clinics, long-term care,<br>and home use | Hospitals, clinics, long-term care,<br>and home use | Hospitals and other<br>appropriate clinical<br>environments. |
| Monitoring | Spot-checking | Spot-checking | Intermittent and continuous |
| K<br>number) | Subject Device<br>Biobeat Platform-2 / BB-<br>613WP Patch | Primary PredicateDevice<br>Biobeat Platform / BB-613WP<br>Patch<br>(K212153) | Predicate Device<br>ClearSight System<br>(K182245) |
| Principle of<br>Operation | Pulse reflectance technology, four<br>LED (red + IR) and photo diode<br>absorbs reflectedlight.<br>Tracking changes of blood pressure is<br>done by pulse wave transit time<br>(PWTT) which is obtained utilizing<br>pulse measurements from the<br>integrated skin attachedSpO2 sensor.<br>RRp measured by analyzing cyclic<br>variations in the<br>photoplethysmogramdue to<br>respiration.<br>Body temperaturemeasured<br>with thermistors. | Pulse reflectance technology, four<br>LED (red + IR) and photo diode<br>absorbs reflectedlight.<br>Tracking changes of blood pressure is<br>done by pulse wave transit time<br>(PWTT) which is obtained utilizing<br>pulse measurements from the<br>integrated skin attachedSpO2 sensor.<br>RRp measured by analyzing cyclic<br>variations in the<br>photoplethysmogramdue to<br>respiration.<br>Body temperaturemeasured with<br>thermistors. | Finger SpO2 sensor<br>measurement of<br>functional oxygen<br>saturation of arterial<br>hemoglobin (SpO2),<br>pulse rate (PR),<br>calculation of Perfusion<br>Index (Pi) and optional<br>Pleth Variability Index<br>(PVi) in adults and<br>pediatrics.<br>RRp measured by<br>analyzing cyclic<br>variations in the<br>photoplethysmogramdue<br>to respiration |
| Outputs | Oxygen Saturation(SpO2)<br>Pulse Rate (PR)<br>Blood Pressure (BP),<br>Respiration Rate (RRp),<br>Body Temperature<br>Hemodynamic parameters<br>including:<br>Cardiac Output (CO),<br>Stroke Volume (SV) | Oxygen Saturation(SpO2)<br>Pulse Rate (PR)<br>Blood Pressure (BP),<br>Respiration Rate (RRp),<br>Body Temperature | Pulse Rate (PR)<br>Blood Pressure<br>(Systolic, Diastolic, and<br>Mean Arterial Pressure)<br>Hemodynamic<br>parameters including:<br>Cardiac Output (CO),<br>Stroke Volume (SV)<br>Cardiac Index (CI)<br>Stroke Volume Index,<br>Systemic Vascular<br>Resistance (SVR),<br>Systemic Vascular<br>Resistance Index,<br>Stroke Volume<br>Variation. |
| Measurement<br>site | Chest-patch attached to the skin | Chest-patch attached to the skin | Finger |
| Body<br>attachment<br>method | Adhesive patch | Adhesive patch | Clamp pressure from<br>finger cuff |
| Measurement<br>type | Spot | Spot | Continuous or intermittent |
# Table 7.1: Comparison of Intended Use
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| | | able 7.2: Comparison of Technological Characteristics: | |
|-------------------------------------|------------------------------------------------------------------------------------|------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------|
| | | | |
| K<br>number) | Subject Device<br>Biobeat Platform-2 / BB-<br>613WP Patch | Primary PredicateDevice<br>Biobeat Platform / BB-613WP<br>Patch<br>(K212153) | Predicate Device<br>ClearSight System<br>(K182245) |
| Emitted light<br>peak<br>wavelength | 880nm (IR), 650nm<br>(Red) | 880nm (IR), 650nm<br>(Red) | N/A |
| Measurement<br>Range SpO2 | 40% to 100% | 40% to 100% | N/A |
| Arms, SpO2 | ±2% | ±2% | N/A |
| Measurement<br>Range,<br>PR/HR | 40 to 250 bpm | 40 to 250 bpm | 0 to 220 bpm |
| Arms, PR/HR | ±3% | ±3% | Not specified |
| Measurement<br>Range, BP | 0 mmHg - 299 mmHg | 0 mmHg - 299 mmHg | 0 mmHg - 300 mmHg |
| Accuracy<br>blood<br>pressure | ±5 mmHg | ±5 mmHg | 1% of full scale<br>(max 3 mmHg) |
| Measurement<br>Range, CO | 1.5-13 L/min | N/A | 1.0 to 20.0 L/min |
| Accuracy, CO | ±30% | N/A | Bias ≤ ± 0.6 L/min or ≤<br>10%<br>(Whichever is greater).<br>Precision (1σ) ≤ ± 20%<br>over the range of<br>Cardiac Output from 2 to<br>20 L/min |
| Single use | Yes | Yes | No |
| Wireless BLE | Yes | Yes | Yes |
| Operation<br>time | 120 hours | 120 hours | N/A |
| Contact<br>material | Polycarbonate, photodiode window,<br>silicone, adhesive unit | Polycarbonate, photodiode window,<br>silicone, adhesive unit | Unknown |
| Application<br>Method | The device is attached to the chest<br>skin using a biocompatible adhesive<br>unit | The device is attached to the chest<br>skin using a biocompatible adhesive<br>unit | User attaches the device<br>to the finger |
| Sterility | Supplied and used non- sterile | Supplied and used non- sterile | Supplied and used non-<br>sterile |
| Data display | Handheld display unit(e.g. tablet) | Handheld display unit(e.g. tablet) | Display unit |
| K<br>number) | Subject Device<br>Biobeat Platform-2 / BB-<br>613WP Patch | Primary Predicate Device<br>Biobeat Platform / BB-613WP<br>Patch<br>(K212153) | Predicate Device<br>ClearSight System<br>(K182245) |
| Data storage | Yes, but can transmit the data to a<br>handheld device for storage and<br>analysis | Yes, but can transmit the data to a<br>handheld device for storage and<br>analysis | Yes |
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# Performance Data
The Biobeat Platform-2 uses the same hardware as the cleared BB-613WP Patch but features some software changes, including measurements of stroke volume and cardiac output. The device contains the same sensor unit and uses the same algorithm to compute SpO2 and pulse rate and to compute and track changes in blood pressure. Therefore, these signals' evaluation testing, which was submitted in K212153, remains applicable to the subject device. Additional testing was conducted on the updated product features, including:
- . Clinical validation of stroke volume and cardiac output
- Software validation per FDA guidance, General Principles of SoftwareValidation; Final Guidance for Industry and FDA Staff (January 11, 2002)
# Clinical Validation Data
Ambulatory congestive heart failure patients arriving for right heart catheterization as part of their clinical assessment were recruited. The non-invasive Biobeat devices were simultaneously attached to their chests and frequent monitoring started in parallel to a SGC inserted through the Internal Jugular vein. Comparison was performed retrospectively, after completion of the measurement phase.
#### Results
90 patients (19-89yo, 53 males) were recruited, 80 were included in the final analysis comparing the PPG device and Fick, 77 were included in the final analysis comparing TD with Fick, and 82 were included in the final analysis comparing PPG with TD. The mean values of the CO measured using the indirect Fick method, the PPG device, and using the thermodilution (TD) were compared. Bland-Altman analysis showed that the PPG had LOA to the Fick method and TD within 30%.
# Conclusions
The Biobeat Platform-2 is as safe and effective as its predicate devices. Specifically, the subject device has the same intended use as the predicate devices and combines the indications for use and technological characteristics of the predicates into one device. The minor technological differences between the Biobeat Platform-2 and its predicate devices, namely adding algorithms to the cloud to provide stroke volume and cardiac output measurements, raise no new issues of safety or effectiveness. Performance data demonstrate that the Biobeat Platform-2 is as safe and effective as the predicates. Thus, the Biobeat Platform-2 is substantially equivalent.
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.