Frequently Asked Questions
Is it already available?
It’s available for pre-order on crowdfunding platform Indiegogo: we are currently working on laboratory testing and running clinical trials on the device. The initial batch will be made in fall 2017 and serial production will begin at the end of the year.
How is it different from the fitness trackers already on the market?
The MAP Health Watch will be an FDA-approved and CE-certified medical device as the medical-grade sensors provide much more precise measurements than regular fitness trackers. The data recorded is first analyzed with patented medical algorithms and then reviewed by specialist doctors to identify personal risk factors and the first signs of potential health problems. This supports both prevention and for any problems to be treated in the early phases, when there is a greater chance of success.
Does it tell the time?
Yes, it can also be used as a normal wristwatch.
Is it waterproof?
To a certain extent: you can wash your hands while wearing it, but it’s not suitable for swimming or scuba diving.
Does it come with a charger and is it compatible with standard chargers?
Naturally, the device comes with a charger, which can be connected to a computer or mains outlet via a USB cable (the cable comes boxed with the device).
How long is the battery life? Is it replaceable?
The battery inside the watch is designed to last for at least 1,000 charges, and can be replaced by a specialist repair center. A watch strap containing an additional battery for longer life is also available as an optional accessory.
How long does it take to charge? Is one charge enough for 24 hours’ use?
The total charge time is just over an hour, and the watch can be used continuously for at least 24 hours on a full charge.
How do I connect the device?
The device sends the data to our servers via a secure Bluetooth connection through either a smartphone or external 3G GSM module, which can be purchased separately.
When should I wear it?
For more precise predictions and alerts, it is advisable to wear the device as regularly and as consistently as possible.
Are there different user modes? For sport or sleeping, for example?
As well as the normal mode, the watch can also be switched to “Training” mode when you are enaged in sporting activity, enabling the data collected to be evaluated in the correct context.
How can I interpret the results? Is there a set range for each parameter?
When we evaluate the results, we don’t simply compare them with a pre-defined range, we evaluate the changes in the measurements recorded relative to the individual. Our algorithms are formed from a combination of rule-based diagnostic models using the results of medical studies and clinical experience, and machine learning algorithms based on neural networks developed from large data samples.
What happens if I press the panic button?
The contents of the MAP Health Service can vary depending on the country or region you are located in, but the following is always included:
- With our 24-hour customer service, one of our healthcare professionals can check the latest data provided by the watch immediately, and if necessary also refer to the results of earlier data (as long as the user has given us permission to access previously recorded data).
- An alert is sent via email and/or text message to any people designated by the user, providing:
- Notification of the alert
- The values recorded at the moment the alarm was raised, as well as any events preceding it (e.g. presumed fall) and any irregularities identified by the health care professional
In countries where the supporting infrastructure permits it, and if indicated by the data, an ambulance can be sent immediately to the location identified using the smartphone’s GPS sensor.
What is the automatic fall detector?
An algorithm based on the data from the accelerometer provides an alert if the user appears to have fallen. The accuracy of the detection is not 100% fail-safe, but it can be a useful indicator in correlation with dramatic changes in the user’s vital signs.
What does the device measure at night?
Essentially, there is no difference between daytime and nighttime measurement. Some of the sensors may collect data less frequently, but this will not be apparent to the user.
Does it have a pedometer (step counter)?
Yes, the device can also be used as a conventional fitness tracker for sporting activities.
Does it have a guarantee?
Of course: two years from the date of purchase.
Is it free? Are there any paid features?
The MAP Health Watcher app is free to download and all of its features are free to use.
What does the app do exactly, apart from forwarding the data to the central server?
It displays up-to-the-minute results, notifications sent by the system and historical data, as well as supporting sharing of data with loved ones and medical professionals.
Can I turn off the forwarding function if I don’t want to pass on any of the values recorded in any form?
You can stop forwarding the data. However, this means that only the current values and results previously recorded in the database will be visible. The system will not be able to send real-time notifications or analyze the results of new data.
Will I get ads on my phone?
No. This app doesn’t contain any ads.
What is the basic service?
The basic service is a monthly subscription that allows the data from the MAP Health Watch to be synchronized with our servers and analyzed in real-time to identify the first signs that something could be wrong. We also ask you to provide medical information on yourself to create a personal profile free of charge, which is then correlated continuously with the data from the watch. Every six months, you will also receive a detailed report on how your vital statistics have changed and what you might need to look out for. Should any potential problem arise, you will be contacted by a member of our specialist team of doctors, who will provide you with a tailored cause of action and recommend you see a physician or go for further tests if necessary.
What will my personal profile contain?
Each user’s personal profile combines key information such as age, weight and gender with medical history and historical data collected by other doctors or the MAP Health Watch itself. It is constantly updated to reflect the changing circumstances of the user and can be accessed at any time through the MAP Health Watcher web interface.
Can I access and share the rich MAP Health Watch data with my physician or a loved one?
In addition to receiving health reports via email and accessing them via the MAP Health Watch web interface, you can also grant access to the data to up to three members of your family and your physician via the MAP Health Watcher app and our web interface. Access can also be granted to emergency services if this is supported in your country or region.
Can the MAP Health Watch work independently of the service?
The MAP Health Watch can collect data and send it to your phone independently, but without access to the advanced analytics functionality of our servers, this can only ever be of limited value. Working in tandem with the clinical-grade sensors in the device, it is the connection to our AI engine and the medical support offered by MAP Health Watcher as a paid subscription service that is the truly unique feature of the device.
Can you save the data to your PC?
We do not offer this feature for the simple reason that this data is highly sensitive and we would not want it to get into the wrong hands. We strongly believe that your personal health data should not be accessible to anyone who might get access to your device.
What additional extras are available and how much will they cost?
While six-monthly email reports are included in the basic service, you can also request more frequent reports (quarterly or monthly) for an additional fee. Pricing is yet to be determined. We are also planning to offer a 24/7 Medical Call Center service depending on your country or region.
Can I speak to a doctor from the MAP Health Watcher team?
Yes, if our system indicates there might be a serious issue with your health, you will be personally called by a MAP Health Watcher medical specialist. This will be a standard cell phone call and is included in the basic service. We may also introduce an optional paid helpline in certain countries and regions to help users evaluate their data and offer personalized medical advice.
What exactly does the MAP Health Watcher report contain?
The reports are written by trained medical professionals and will contain a general overview of your health, including changes over the given period of your vital signs, analysis of correlated data, evaluation of risk factors and personalized health care advice.
Who are the MAP Health Watcher medical professionals and what is their area of specialization?
Our doctors are trained in evaluating the data provided by the MAP Health Watch and all have extensive experience in dealing with emergencies. Generally speaking, they hold specializations in cardiology and internal medicine.
As a doctor myself, can I join the MAP team?
We are planning to offer the MAP Health Watcher service in various countries and will be looking to expand our team as user numbers grow. If you would like to join MAP, please submit your email address or connect with us via LinkedIn and we will be in touch in due course.
What do the sensors measure exactly, and what data is collected by the system?
With the help of five sensors, MAP measures six vital parameters. The ECG (Einthoven I lead) and blood pressure data is collected daily whenever necessary, while your pulse, skin temperature, electrodermal activity and movement are measured continuously.
How reliable are the measurements recorded by the sensors?
For medical use, one of the biggest problems of the data collected by fitness trackers and smartwatches is the accuracy of the measurements and possible interference. In other words, their recorded data is not particularly reliable. This is why the MAP signal-processing solution focuses on deriving reliable results from signals affected by significant levels of interference.
To achieve this, it was necessary to create custom signal-processing algorithms capable of producing results with the necessary degree of accuracy and reliability, without creating processing demands that exceed realistic capacity.
We have developed sophisticated, patented processes that adapt to the shape of the signals received, classifying the reliability of the results taken from the individual sensors with the help of fuzzy logic by using the information taken from the other sensors to ensure that these measurements are reliable enough for medical purposes.
What are the stages of the data processing?
With the aid of the unique medical analytic system we have developed, we are able to analyze the recorded and shared data, using both rule-based diagnostic models and machine learning algorithms.
- The device continually measures vital parameters.
- The data is sent to our servers via a secure Bluetooth connection to your smartphone or a separate 3G GSM module.
- The data on the server is processed using rule-based and neural algorithms.
- The aim of the processing is to diagnose dangerous situations and identify potential risks to your health.
- In addition to AI processing, specialist doctors regularly analyze the collected data.
- The system makes the recorded data and associated risk factors available to both the user and to health care professionals.
- If any danger to your health should arise at any time, MAP can provide immediate assistance, 24 hours a day, as well as offering medical consultation (depending on your country or region).
How safe is my data?
Your personal information is yours, and we would never share it with anyone else. We go to extreme lengths to make sure your data is completely secure. We process and store all personal and medical data in strict accordance with US and EU regulations and directives such as HIPAA and EU 2016/679.
What about the data correlated with that of other users by the AI engine?
All data used by the AI to study trends across the entire user-base is treated completely anonymously, so there’s no chance anyone could see your personal details without your explicit permission. We will always do everything we can to make sure your data is completely safe – it’s best for you, and it’s best for us.
Is there anything different about the MAP Health Watch sensors?
Our integrated PPG and ECG sensor is a cutting-edge component designed specifically for medical use, while the other sensors were selected following an extremely thorough and extensive testing process.
Are there other products with similar sensors already on the market?
There are some other products that have may share one or two sensors with the MAP Health Watch, but we are not aware of any device on the market today offering a similarly complex and convergent combination of sensors.
How accurate are these sensors without the MAP Health Watcher algorithms?
When it comes to medical applications, one of the biggest problems with the information provided by normal wearables such as smartwatches and fitness trackers is the level of interference in the data. This makes the resulting readings unreliable and inaccurate. MAP Health Watcher’s diagnostic and predictive solutions are based on machine learning tools that process the information received from the watch in order to ensure the accuracy of the final results. Without this process, the sensors would not be able to produce anywhere near the same level of accuracy.
How do you compensate for interference produced from environmental factors?
Our signal processing solution focuses on how to derive accurate and reliable estimates of variable frequency and significant bursts of noise. To do so, new specialized signal processing algorithms were needed that are able to provide the required accuracy and reliability of the results measured, but with computing requirements that do not exceed realistic capacity constraints.
Wearable devices often use a moving average or a moving Gaussian function to eliminate interference. However, these methods are not adaptive and signal response is often poor, resulting in some unusual but accurate values often being altered along with the interference.
A much less commonly used technique in signal processing is the Savitzky-Golay filter, which allows more sophisticated filtering using pre-defined weightings. The advantage of using the Savitzky-Golay algorithm is that it can be quickly and easily calculated, but certain parts of the signal can still suffer from disturbances, depending on the configuration of the weighting parameters or the filters. To exploit the benefits of Savitzky-Golay but overcome this downside, we have developed a special version that, depending on the frequencies that appear in the dataset, changes the parameters of the process by dynamically adapting to the given sequence.
Who carried out the testing?
Laboratory tests are performed by our engineering and research teams, while clinical trials are going being conducted by the Hungary’s largest cardiology clinic.
How long is the testing process and is it complete?
We have conducted several rounds of laboratory tests on the basis of which the device was found to be suitable for clinical trials. These clinical trials will be performed in September. During laboratory testing, several improvements were made to the prototype before the current version was completed.
What complications and challenges did you encounter?
From the hardware side, one of the most difficult tasks is to ‘cram’ all of the sensors into the available space so that they are sufficiently protected but so that the other sensors and electronics do not cause any interference. It was also a difficult task to achieve optimal energy consumption.
From the software side, finding the best method of filtering interference was the biggest challenge. It was important to establish a reliable definition of certain points on the ECG curve.
Do you plan to get the device or individual sensors medically certified? Which sensors?
The device’s FDA approval and CE MED certification are underway, we are currently undergoing the necessary tests and clinical trials.
What further research are you planning to carry out with this data?
For machine learning devices used for predictions and diagnosis, the accuracy of the results is greatly enhanced by the fact that we are re-teaching neural networks on the basis of an ever-increasing volume of measurement data and recorded events. Meanwhile, we are also expanding our research into newer areas.
Have you made any interesting discoveries already that it might be worth sharing with the medical community in the future?
Very promising results have been achieved in predicting and diagnosing certain cardiovascular diseases, as well as diagnosing dehydration, something that often affects older age groups.