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Heart for Heart

Monitor your heart in 90 seconds. For a good cause. 💓

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Yosef Safi Harb
Maker
@ysharb · Founder @ Happitech
Hi All, Heart for Heart is a joint initiative of UK/US based Arrhythmia Alliance, NL based Happitech, and US based Bug Labs with the support of the Dutch Heart Association. The goal of Heart for Heart is to speed up the development and accuracy of our technology to help detect heart rhythm disorders. In the same way, you donate your money for a good cause, we are asking you to donate 90 seconds of your heart rhythm data We are currently developing a technology that enables screening the most common heart rhythm disorder (Atrial Fibrillation AF) using only your smartphone. To speed up the development of the technology, we have setup this crowdsourcing and awareness initiative alongside our clinical trials. The data generated by Heart for Heart will be used to better differentiate between AF and a regular heartbeat rhythm and create insights into new health correlations. This technology will help patients to diagnose a heart rhythm disorder, 24/7, without extra hardware and allow them to share the data with their physicians from the comfort of their living rooms. In order for it to be adopted, the smartphone method should be extremely accurate, robust and reliable to minimise false positive and -negative results. When the technology is introduced, it will alter the way Cardiologists work. We look forward to your questions! Heart for Heart team. p.s our Dutch PH hero Bram had promised another startup the hunt first. Ryan and Niv assured me it's not taboo hunting your own initiatives!
Bram Kanstein (@bramk)@bramk · Creator of @startupstash
@ysharb love it, glad you're on!!
Yosef Safi Harb
Maker
@ysharb · Founder @ Happitech
@bramk Thanks Bram for the support! Appreciate it
JP Raes@jp_raes · Entrepreneur, positive impact company
@ysharb Awesome Yosef!
Yosef Safi Harb
Maker
@ysharb · Founder @ Happitech
@jp_raes Thank you JP
Jacob Rouser@j_rouser · Digital Content Strategist, Shelton Grp
I would be happy to contribute if there was an Android version of the app. Any plans to release? Ultimately this is great work @ysharb - I hope this helps make the world a better place.
Yosef Safi Harb
Maker
@ysharb · Founder @ Happitech
@j_rouser Thank you, we appreciate it! Due to the large amount of Android devices (about 4000 and 400 manufacturers), the technology is more challenging to implement. The Android version is on the planning and will be released on the most popular devices. The different camera lenses and processing power of the devices require extra attention. We have the core of the heart rate technology already implemented on Android but would need extra work on the Rhythm disorder part.
Jacob Rouser@j_rouser · Digital Content Strategist, Shelton Grp
@ysharb I completely understand and appreciate the response! I'll see if I can grab my wife's iPhone this evening and give you two data-points instead of one :).
Yosef Safi Harb
Maker
@ysharb · Founder @ Happitech
@j_rouser Wonderful! Thank you, if you have any other questions let me know.
Tom Bielecki@tombielecki · Cofounder, PrintToPeer
This seems very similar to what Cardiogram is doing. Is there a way to send you my Apple Watxh data instead of these camera readings?
Yosef Safi Harb
Maker
@ysharb · Founder @ Happitech
@tombielecki Hi Tom, Good question. Not at this moment. It would be interesting for the next step, now we are trying to keep the crowdsourced data (semi) structured. Using the Apple Watch to detect Rhythm disorders has a slightly different mathematical approach. At the moment, the Apple watch is semi-open. The information you can receive as a developer is the Heart rate and not the Heart rhythm (or the interbeat internal). The beat by beat intervals is an important element in determining the heart rhythm. Heart rate = average of beats over a period of 6-10 seconds For example a Heart rate of 60 bpm is compromised of 1 beat every second more or less. Let’s say the time between 6 heartbeats is as follows: 0.8-1.2-1.1-0.9-1.0-1.0 seconds. The average is 1 second per heartbeat => 60 heartbeats per minute. Let’s have an irregular scenario as follows 0.2-1.8 - 0.5 - 1.5- 1.0 - 1.0 seconds. The average is also 1 second per heart beat => 60 heartbeats per minute. The rhythm however between the two examples is very different. Your analysis via a smartwatch will be via a derivate of the original signal but with a lot more data due to the fact you are wearing your watch continuosly. Ideally if the Apple Watch creates an API to the raw data, we would be apple to apply our algorithms there. Every method has it's pros. The Apple watch allows for continuous monitoring, the smartphone requires no additional hardware. So it is definitely something we are considering. Let me know if this answers your question.