Wavy

Inspiration

People with chest pain have many complaints when stress is growing, and some subgroups like INOCA have average two times a week chestpain. The problem is that in order to better understand the effects of stress, they simulated this at the clinic which does not reflect real life conditions. Another problem is that it gives an overview only at one moment. During the cardiac rehabilitation programs, they use meditation programs, which takes time and gives not a good overview about the symptoms.

Ischemic heart disease (IHD) is the leading cause of death globally, taking an estimated 17.9 million lives (31% of all deaths) each year. For Europe, IHD causes 877,000 deaths (20%) among women and 862,000 (19%) among men. Angina pectoris is the most common symptom of IHD, which is a medical condition where physical and mental stress have an important factor. The market size is huge, only Germany more than 3 million patients have Angina pectoris and if we look in the United States, Angina affects more than 9 million people.

What it does

Wavy is an app that allows Angina Pectoris (chest pain) patients to monitor, manage, lower their stress and relieve symptoms. Wavy uses implicit learning. This means that stress is lowered by retraining subconscious behavioral patterns, rather than explicit learning. The app combines the quantitative data from smart wearables with qualitative data from smart voice assistants to form a personalized health profile for every heart patient. Wavy is able to monitor the patient’s behavior throughout the day, giving patients deeper insights into their health which they can share with their cardiologist when they want.

How we built it

A CVD patient wears a Garmin smart wearable device. Using API connections we stream that data to the cloud in real-time. The data is stored in a scalable big data environment and also put through our AI neural network detecting and monitoring the patient's heart data for any deviations.

Challenges we ran into

The biggest challenge was retrieving and cleaning the data so it can be processed by a predictive algorithm. Another one was getting access to the APIs of smart wearables.

Accomplishments that we're proud of

We found an effective way to apply our technical skillset to create a high-impact solution to a huge social problem.

What's next for Wavy

We are scheduling to test our product with hospitals in Germany. From here we will apply for the DiGA Fast-Track. This makes it possible that insurance companies will reimburse the app if doctors prescribe it to people diagnosed with angina pectoris.

Built With

• ai
• android
• dialogflow
• ovh
• wearables