The PhysioFlow System noninvasively measures cardiac output and other related cardiac parameters on adults. These parameters include: CI Cardiac Index, CO Cardiac Output, CTI Contractility Index, EDV End Diastolic Volume, EF Ejection Fraction, HR Heart Rate, LCWI Left Cardiac Work Index, PEP Pre Ejection Period, SV Stroke Volume, SVR Systemic Vascular Resistance, SVRI Systemic Vascular Resistance Index, TFI Thoracic Fluid Index, LVET Left Ventricular Ejection Time. The PhysioFlow System is intended for use under the direct supervision of a licensed healthcare practitioner or personnel trained in its proper use within a hospital or facility providing healthcare.
Device Story
PhysioFlow is a noninvasive hemodynamic monitor using thoracic electrical bioimpedance. It utilizes a patient cable and pre-gelled electrodes to inject a high-frequency, low-magnitude current into the thorax and measure impedance modulation (ΔΖ). The device also records a single-lead ECG signal for timing and heart rate. Signals are filtered, digitized, and transmitted to a Windows-based computer via serial link. Software processes these signals to compute stroke volume and other hemodynamic parameters. Used in hospitals or healthcare facilities under supervision of trained personnel. Output is displayed numerically and graphically on the computer screen, allowing clinicians to monitor cardiac trends. Benefits include noninvasive assessment of cardiac function, reducing the need for invasive monitoring like thermodilution catheters.
Clinical Evidence
Clinical study included 84 subjects at two centers. The PhysioFlow device was compared against the predicate device and the Swan-Ganz catheter using thermodilution. Results verified that the subject device records cardiac output similar to the predicate device.
Technological Characteristics
Thoracic electrical bioimpedance sensing; uses pre-gelled Ag/AgCl electrodes. Generates high-frequency, low-magnitude electrical current. System consists of an electronic signal acquisition unit connected via serial link to a Windows-based PC. Software performs signal processing and parameter computation. Manufactured per ISO 13485 and ISO 9001.
Indications for Use
Indicated for use in adults only for noninvasive measurement of cardiac output and related hemodynamic parameters (CI, CO, CTI, dZ/dTmax, EDV, EF, HR, LCWI, PEP, SV, SVR, SVRI, TFI, VET, Z0).
Regulatory Classification
Identification
An impedance plethysmograph is a device used to estimate peripheral blood flow by measuring electrical impedance changes in a region of the body such as the arms and legs.
Special Controls
*Classification.* Class II (special controls). The device, when it is a body composition analyzer which is not intended to diagnose or treat any medical condition, is exempt from the premarket notification procedures in subpart E of part 807 of this chapter subject to the limitations in § 870.9.
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# 510(k) Summary K060387
## Submitter
Vasocom Inc. UnitG 2014 Ford Rd Bristol, Pa 19007
Fax (215) 826-8102 Phone: (215) 826-9998
| Contact Name: | Jim Gunnerson |
|----------------|---------------|
| Contact Title: | President |
Date this Summary was Prepared: April 4th 2008
# Trade Name
PhysioFlow
## Common Name
Noninvasive Hemodynamic Monitor
### Classification Name
Impedance plethysmograph (per 21 CFR 870.2770)
## Predicate Device
510(k) number K041434 Philips ICG (Formerly Analogic Corp.)
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# Device Description
Image /page/1/Picture/2 description: The image shows a PhysioFlow device connected to a laptop and a printer. A patient cable connects the device to a person. The person has several sensors attached to their chest and neck. The image shows the setup for a physiological measurement.
The PhysioFlow System is a noninvasive hemodynamic monitor that uses thoracic electrical bioimpedance technology to measure cardiac output and related parameters.
It has three main components :
- 1. An electronic device that generates a low magnitude, high frequency electrical current (the "impedance current"), sends it through the body of the patient via a patient cable and pre-gelled electrodes (the sensors), and receives it after it has crossed the patient thorax. The impedance modulation (ΔΖ) is extracted from the received signal, providing a pulsatile waveform used by the software to compute stroke volume. The device also records one lead of a passive electrical signal that is similar to the ECG, in order to provide a time basis and trigger for the analysis of the impedance waveform, and to provide a measurement of heart rate. This ECG signal is not used for electrocardiography analysis. The device filters and digitizes both the impedance and the ECG signals, and transmits them to a computer via a serial communications link. The device has an analog output option, which makes the following signals available : ΔZ, ECG, Cardiac Output trend, and Stroke Volume trend.
- 2. A computer that runs a MS-Windows operating system, and performs the following tasks :
- Reception of digitized signal samples from the device via a serial port .
- Platform to operate the PhysioFlow software .
- Physical user interface (keyboard, mouse, display) �
- Patient data storage capacity (on hard disk) ●
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- (Optional) Reception of blood pressure values from an external blood pressure monitor . device via a serial port (This device does not measure blood pressure)
- Management of a printer using the appropriate driver .
- 3. The PhysioFlow software, which performs following tasks :
- Signal processing and analysis .
- Computation of measured parameters .
- User interface and control of the measurement process (entering patient data, calibration . procedure, monitoring phase, post processing of measurement results)
- Transmitting cardiac output and stroke volume values back to the device via a serial data link . for analog output purposes
- Management of event markers .
- Setup of measurement and screen configuration (averaging ratio, scales, screen appearance, . printout options)
- Display of signal, trends, and graphics .
- Management of imported data (blood pressure values from external monitor) .
- Management of patient data ◆
- Export of measurement data in text format (for import into programs such as Excel) .
- Generating hard copy output .
The PhysioFlow System was designed and developed by Manatec Biomedical, a French company with headquarters in Petit-Ebersviller, France. The PhysioFlow System has been CE marked according to the European Medical Device Directive (93/42/CEE) as a class Ila device, and has been certified by the Japanese Ministry of Health Canada. The PhysioFlow System is manufactured in France according to the ISO 13485 and ISO 9001 standards.
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# Intended Use
The PhysioFlow System noninvasively measures cardiac output and other related cardiac parameters on adults. These parameters include:
| CI | Cardiac Index |
|------|------------------------------------|
| CO | Cardiac Output |
| CTI | Contractility Index |
| EDV | End Diastolic Volume |
| EF | Ejection Fraction |
| HR | Heart Rate |
| LCWI | Left Cardiac Work Index |
| PEP | Pre Ejection Period |
| SV | Stroke Volume |
| SVR | Systemic Vascular Resistance |
| SVRI | Systemic Vascular Resistance Index |
| TFI | Thoracic Fluid Index |
| LVET | Left Ventricular Ejection Time |
The PhysioFlow System is intended for use under the direct supervision of a licensed healthcare practitioner or personnel trained in its proper use within a hospital or facility providing healthcare.
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# Technological Characteristics Compared to Predicate Device
The PhysioFlow System and the Philips ICG System both have the same general intended use. Both systems provide means for making noninvasive measurements of cardiac output and related cardiac parameters.
Both the PhysioFlow System and the Philips ICG System utilize the same basic technology, i.e., the measurement of thoracic electrical bioimpedance. The low current, high frequency electrical signals used in both systems to measure impedance are very similar.
The procedure for taking the measurements is similar for both systems. The connection from the measurement device to the patient in both systems includes a multi-lead patient cable that attaches to a number of disposable, pre-gelled, Ag/AgCl electrodes, which are applied to the patient's neck and thorax for a short period of time.
Both systems have similar features such as a keyboard or data entry interface for typing in relevant patient data (such as name, height), a display for showing the ECG and impedance signals in real time, the ability to display the computed cardiac parameters numerically and graphically, the ability to store records of a patient measurement session, and the ability to print hard copy reports.
Both systems handle noninvasive blood pressure (NIBP) readings by importing measurements from connected FDA-cleared devices. The PhysioFlow system also provides the ability for blood pressure values to be entered manually as an alternative. Both systems provide connections for analogue output of signals to other medical devices.
The differences between the PhysioFlow System and the Philips ICG System are minor. The PhysioFlow System software runs on Windows, whereas the Philips ICG software runs on its own operating system. The mechanical packaging differs in that the PhysioFlow System device connects to a suitable computer via an external serial cable connection, while the Philips ICG System device was built into a box that also enclosed the CPU.
The parameters and signals that are monitored, calculated and/or reported by the two units are compared in the tables below. They are essentially identical except for the Contractility Index which is similar to the Acceleration Index parameter reported on the PHILIPS ICG device.
| Signal | Description | PHILIPS<br>ICG | PhysioFlow |
|-----------|-----------------------------------------------------|----------------|------------|
| ECG | Electrocardiogram (for triggering<br>purposes only) | X | X |
| Z | Impedance | X | X |
| dECG / dT | First derivative of electrocardiogram | | X |
| dZ / dT | First derivative of impedance | X | X |
| d2Z / dT² | Second derivative of impedance | | X |
#### Table 1 – Signal Comparison
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| Parameter | Description | Units | PHILIPS<br>ICG | PhysioFlow |
|-----------|------------------------------------|---------------|----------------|------------|
| ABP | Arterial Blood Pressure | mmHg | X | X |
| ACI | Acceleration index | 1/sec.sq | X | |
| BSA | Body Surface Area | m² | X | X |
| CI | Cardiac Index | l / min / m² | X | X |
| CO | Cardiac Output | l / min | X | X |
| CTI | Contractility Index | no unit | | X |
| CVP | Central Venous Pressure | mmHg | | X |
| DAP | Diastolic Arterial blood Pressure | mmHg | X | X |
| EDV | End Diastolic Volume | ml | | X |
| EF | Ejection Fraction | % | | X |
| Height | Height | cm | X | X |
| HR | Heart Rate | bpm | X | X |
| LCWI | Left Cardiac Work Index | kg.m / m² | X | X |
| LVET | Left Ventricular Ejection Time | millisec | X | X |
| MAP | Mean Arterial blood Pressure | mmHg | X | X |
| PEP | Pre Ejection Period | sec | X | X |
| SAP | Systolic Arterial blood Pressure | mmHg | X | X |
| STR | Systolic Time Ratio | No unit | X | |
| SV | Stroke Volume | ml | X | X |
| SV | Stroke Volume Index | ml/ m² | X | X |
| SVR | Systemic Vascular Resistance | dyn.s.cm-5 | X | X |
| SVRI | Systemic Vascular Resistance Index | dyn.s.cm-5.m² | X | X |
| TFI/TFC | Thoracic Fluid Index/Content | no unit | X | X |
| VI | Velocity Index | 1/sec/ cm² | X | |
| Weight | Weight | kg | X | X |
#### Table 2 – Parameter Comparison
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## Conclusions
Vasocom has provided bench and clinical data to verify that the subject device can indeed record cardiac output similar to the predicate device. The clinical study data includes 84 subjects at two centers, and compared the PhysioFlow Device to the predicate device and also to the Swan-Ganz catheter using thermodilution.
Based on technological comparisons and performance testing results, in its overall intended use, functioning, safety and efficacy, the PhysioFlow System is substantially equivalent to the Philips ICG System.
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Image /page/7/Picture/1 description: The image shows the logo for the U.S. Department of Health and Human Services. The logo consists of a circular seal with the text "DEPARTMENT OF HEALTH AND HUMAN SERVICES - USA" around the perimeter. Inside the circle is a stylized graphic of four human figures, represented by simple, curved lines, arranged in a row.
Food and Drug Administration 9200 Corporate Boulevard Rockville MD 20850
APR 1 0 2008
VasoCOM, Inc. c/o Mr. John S. Samorajczyk Samorajczyk Regulatory Consultants, LLC 5414 Leilani Drive St. Pete Beach, FL 33706
Re: K060387
Trade/Device Name: PhysioFlow System, Model PF05 Regulation Number: 21 CFR 870.2770 Regulation Name: Impedance Plethysmograph Regulatory Class: Class II (Two) Product Code: DSB Dated: February 5, 2008 Received: February 5, 2008
Dear Mr. Samorajczyk:
We have reviewed your Section 510(k) premarket notification of intent to market the device referenced above and have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food, Drug, and Cosmetic Act (Act) that do not require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to such additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
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#### Page 2 - Mr. John S. Samorajczyk
Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 801); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820); and if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050. This letter will allow you to begin marketing your device as described in your Section 510(k) premarket notification. The FDA finding of substantial equivalence of your device to a legally marketed predicate device results in a classification for your device and thus, permits your device to proceed to the market.
If you desire specific advice for your device on our labeling regulation (21 CFR Part 801), please contact the Office of Compliance at (240) 276-0120. Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21CFR Part 807.97). You may obtain other general information on your responsibilities under the Act from the Division of Small Manufacturers, International and Consumer Assistance at its toll-free number (800) 638-2041 or (240) 276-3150 or at its Internet address http://www.fda.gov/cdrh/industry/support/index.html.
Sincerely yours,
B/hemmer for
Bram B. 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 K060387
PhysioFlow System Device Name:
Indications for Use:
Indicated for use in adults only
The PhysioFlow System noninvasively measures cardiac output and other related cardiac parameters. These parameters include:
| CI | Cardiac Index |
|----------|------------------------------------|
| CO | Cardiac Output |
| CTI | Contractility Index |
| dZ/dTmax | Maximum value dZ / dT |
| EDV | End Diastolic Volume |
| EF | Ejection Fraction |
| HR | Heart Rate |
| LCWI | Left Cardiac Work Index |
| PEP | Pre Ejection Period |
| SV | Stroke Volume |
| SVR | Systemic Vascular Resistance |
| SVRI | Systemic Vascular Resistance Index |
| TFI | Thoracic Fluid Index |
| VET | Ventricular Ejection Time |
| Z0 | Base Impedance |
Page 1 of 2
the country of the county of the
:
:
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K060387
The PhysioFlow System is intended for use under the direct supervision of a licensed healthcare practitioner or personnel trained in its proper use within a hospital or facility providing healthcare.
Prescription Use × (Part 21 CFR 801 Subpart D)
AND/OR
Over-The-Counter Use (21 CFR 801 Subpart C)
(PLEASE DO NOT WRITE BELOW THIS LINE-CONTINUE ON ANOTHER PAGE IF NEEDED)
Concurrence of CDRH, Office of Device Evaluation (ODE)
B.Bumham
Vision Sian-Off Division of Cardlova 510(k) Num
Page 2 of 2
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.