Over the past few years, the importance of telemedicine has grown significantly. What was once considered forbidden is now commonplace. We can talk to a doctor remotely, send vital statistics from home, and even have a full checkup all remotely. Our phones have become an integral part of our health regiment, and with Quantiq, it's going to become an even more valuable tool for patients and doctors alike.
Quantiq turns any camera or phone into a medical scanner. This software solution extends any camera, webcam, or smartphone to make it a medical device for remote patient monitoring, telemetry, and remote diagnoses. The system combines medical expertise, physics, advanced image processing, and artificial intelligence to decode your health markers with just your camera. A single shot of a few seconds is enough to get pulse, respiratory rate, and more.
This impressive breakthrough means that a patient doesn't need to purchase a whole collection of devices to monitor their health. Rather than requiring a pulse oximeter, blood pressure cuff, thermometer, and more, it can all be done with the camera you already carry in your pocket. You simply take a short video of a few seconds and
Quantiq is perfect for any doctor who needs to monitor a patient remotely. Rather than lending or leasing expensive, complicated, and damageable equipment to a patient, you can simply ask them to use their own phone or computer. This makes it easier for them and less expensive for the doctor. Plus, it means they don't have to learn a new piece of equipment.
It would also be great to offer to patients of in-home health services. For example, after a heart attack, a family member will likely have a home health aide visit regularly. They'll take vital signs and log them into a system. If you're lucky, they might even give you equipment to take measurements on your own when they are away. If they, instead, used the Quantiq platform, they could eliminate the extra equipment costs by just using the phone camera or webcam the patient already has. Plus, it's something they are already familiar with using.
You can install the system locally on-premises for just your clients, or you can use it in the cloud in a software as a service model. Either way, you get access to the full suite of capabilities, all accessible through a robust Cobox API. This gives you the ability to build the Quantiq technology into your own application suite to enhance its capabilities. Perhaps you are a consumer electronics company that offers things like scales and smart mirrors. You could add Quantiq into your system to provide additional health benefits without having to enhance your technology. The camera that is built into the mirror would likely be enough to be able to get a clear video for analysis. This would make the value proposition of your product significantly better.
Quantiq is the perfect tool for telemedicine, remote patient monitoring, and health care products. To learn more about Quantiq and how you might use it, check out their website.
Interview by Marlo Anderson of The Tech Ranch.
Scott is a developer who has worked on projects of varying sizes, including all of the PLUGHITZ Corporation properties. He is also known in the gaming world for his time supporting the rhythm game community, through DDRLover and hosting tournaments throughout the Tampa Bay Area. Currently, when he is not working on software projects or hosting F5 Live: Refreshing Technology, Scott can often be found returning to his high school days working with the Foundation for Inspiration and Recognition of Science and Technology (FIRST), mentoring teams and helping with ROBOTICON Tampa Bay. He has also helped found a student software learning group, the ASCII Warriors, currently housed at AMRoC Fab Lab.
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And we have Fabien Niel, with Quantiq. Am I saying that right, Fabien?
All right. All right. So tell me a little bit about Quantiq.
Yes. With pleasure. So, at Quantiq, we built software, which is able to tell your vital signs just with a 20 seconds video selfie. So just using the smartphone, take a video selfie, and we tell you your heart rate, your respiratory rate, and in the near future, we can tell you the oxygen saturation and blood pressure.
Interesting. So, do you see this kind of melding into the medical space where our physicians are going to be able to use this information?
Yeah, So the main target is telehealth and telemonitoring in general. So imagine being at home, and you need to do a teleconsultation, your physician is not going to have access to your matrix. And with Quantiq, you just take your smartphone, and your metrics are going to be sent to the physician who is going to be able to use them for his diagnostic. So we target mainly, we are a B2B startup. So we target the telemonitoring platform, remote patient monitoring, and insurance.
So how many markers are you able to? I'm sorry, I have to take these off because they're fogging up here. How many markers are you able to send to your doctor.
So today, we do the heart rate and the respiratory rate. And these two are going to be validated in a clinical study in France in four hospitals in order to assess the clinical accuracy. And we are going to add this here, the oxygen saturation and the blood pressure. And in the near future, we've got a lot more in stock. So we are going to do the hemoglobin level, detection of cardiovascular disease, etc.
So is this going to require any type of blood testing at all in the future? Is this all stuff that you're going to be doing? You know,
That's pure software. So it works on any device can be a laptop, can be a smartphone.
And can be your web browser. So we browser we are integrating it in everything. And it works with any camera. So it's pure software.
That's amazing, actually. So basically, from a camera image, you can tell all of this?
Exactly. Just looking at your face for 20 seconds.
So are you basically using some type of AI that compares people who have these issues? And there are markers like in a person's face that says that, alright, this person has high blood pressure, or respiratory issues or whatever. And that's what tells you this.
So not exactly, so-
We do use AI. But what we do actually is that we analyze the skin color variation. So when your heart beats, it sends the blood in the capillaries that are underneath your skin on your face.
And these are going to change the local constellation in hemoglobin, which in turn is going to change the local absorption of light. And this set more simply is that it means that it's a color variation of your skin. And this color variation is, of course, tiny, it's an invisible to the naked eye. And our software is able to extract this tiny variation from the video stream. And to transform it into all the metrics we discussed. The heart rate, respiratory rate, etc etc.
That's very interesting. So I'm going to give you a what-if scenario here then. So where I live, it's relatively cold and a lot of people are like me, you know, who've maybe experienced a little frostbite or whatever. And as I've aged a little bit now, it's starting to show a little bit more, you know, on my face, and on my ears and that type thing? Are you able to tell the difference between something like frostbite to maybe a high blood pressure that's causing the same effect on your skin?
Yeah, exactly. So for the blood pressure, we're looking at what's called the PPG signal. So let me step back a bit. So when I was saying we extract the color variation, this, in turn, creates a signal which is going to PPG signal, which stands for photoplethysmography. So this is a signal of the color variations, and we analyze the waveform of this signal. And so what, it doesn't matter what your skin color or what's your, as you said if it's cold or whatever, we are able to extract the waveform and the blood pressure.
This is incredible. So what, it's trying to rephrase or phrase my next question here. I just find it, well I guess we'll just go here. How often do you think that a person would have to do this? I mean, they would this be something that like once a month you would do to catch variations then or how does that work.
Yeah. Very Interesting question. So actually we are focused on the measure. So we are, we don't do a diagnostic so we just send the measure up to the doctor. So it's the physician who is going to tell, Okay, depending on your condition, you are I don't know, you have hypertension. So you're going to have to do these once a month, or once a week, once a day. And so that's the physician who tells what the patient is going to do. And we are here just to give a means to the patient to do the measure, without having the patient buy a medical device. So like, you know, the curve to the blood pressure.
So we replace this hardware, this medical device, and that's the physician is going to ask the patient, to do that. And just let me add a few words about that. So we are once again, we are a B2B startup. So we don't sell a B2C app, we are an API. So imagine we have a client, which is a company that does remote patient monitoring. So they are going to bring this device to the patient home.
We're going to be able to replace these devices, which are costly, they can break, you need to have maintenance, logistics, etc, etc.
And they're inconvenient?
Exactly. And so the client is just going to have to replace, just read a few lines of codes into their app, and they are gonna integrate our API and they are going to be able to replace these devices. It is going to be a lot cheaper for them, it's gonna be a lot easier, etc.
So is it so precise, that it can actually tell from day to day, let's say my blood pressure is normal one day, and the next day it's a little hierarchy? Can it actually tell that difference?
So for the blood pressure, it's still in the research. So the two metrics we currently do it the same accuracy as a medical device is the heart rate and respiratory rate, which are currently under certification, so we are validating them in the hospital in a clinical study, in a lot of patients with types, different diseases, to assure the accuracy. And blood pressure so far, we have, it is still in research. It's a very hard problem. But yeah, at the end, of the year, we are going to be able to have an accuracy, which is considered as medical grade. So which is going to be considered interesting for physicians.
This is very, very interesting.
So I look forward to watching how your company grows and this platform grows. How do we find out more information?
So you can go on the website. So quantiq.io or just come to CES. We are at booth 660611. So it's in Eureka Park. Just go into French Tech Eureka Park.
We are there and we are going to be happy to do you a demo. So you can just check the accuracy and, we can show you the app.
Absolutely amazing. So Fabien, thank you for being on the show today.
Thank you the invitation.
And good luck to you and I hope you have a great CES.
Thank you very much. It was a pleasure.
TPN CES 2022 coverage is executive produced by Michele Mendez. Technical Directors are Kurt Corless and Adam Barker. Associate producers are Nancy Ertz and Maurice McCoy. Interviews are edited by Jo Mini. Hosts are Marlo Anderson, Todd Cochrane, Scott Ertz, Christopher Jordan, Daniele Mendez, and Allante Sparks. Las Vegas studio provided by HC Productions. Remote studio provided by PLUGHITZ Productions. This has been Tech Podcasts Network Production, copyright 2022.