Anxiety disorders such as depression affects nearly 40 million adults in the United States, causing nearly $42 billion in damages annually.  $23 billion alone come from recurring health care services, such as psychological therapy, hospitalization, etc. While these solutions have been critical in solving many cases of depression; however, there are still many cases of anxiety disorder that are either not diagnosed or untreated to this day. There are several obstructions that cause this. For uninsured individuals, psychological therapy can be unaffordable, out of reach, and remain untreated.

Within this 40 million adults, there are estimated 10 million of whom are also musicians, who once played music at some time in their lives. Recent studies have suggested the benefits of playing music in order to resolve psychological issues such as stress, depression, and anxiety. We are creating a solution that not only identifies latent or untreated cases of anxiety disorder, but also creates a music therapy that uses real-time data.

This is where MUSIPY comes.

MUSIPY is an online platform that takes health wearable data to identify indicators for anxiety disorder and prescribes music therapy solutions to help them overcome their disorders. MUSIPY is a new age solution that provides music therapy for individuals suffering from anxiety disorder. MUSIPY is a new innovative solution that relies on sensors of two main vehicles. First, it relies on traditional physical monitors that track neurological stimulation in the brain that can find indicators of anxiety disorder. For example, consistent irregularities in sleeping patterns can be a leading indicator of anxiety disorders such as depression. Moreover, many devices in the market today such as the Apple Watch, Fitbit Flex, and other health wearables. On the MUSIPY platform, this data will be used to identify what neurological symptoms are available. This is only the first step.

We then pair this data with MUSIPY sensors that can easily be embedded into any live instrument. These sensors can not only track in real-time how patients are playing music and gauge what their physiological responses are to playing specific notes, but can also recommend songs for individuals to play that are optimized to evoke certain feelings. This is the latest and greatest in data analytics through a patented four step process.

Step 1: Takes real-time data from health wearables and categorizes physiological responses into various conditions.

Step 2: The MUSIPY platform actively takes this data to prescribe certain illnesses in order to treat them.

Step 3: Deploys musical instruments with sensors, in which musical therapists, can recommend specific songs for patients to play along with.

Step 4: As the patient plays, this data is transmitted to the platform and therapists can create playlists to provide music therapy.

Step 5: Over time, the patient continues to play different songs and melodies that enables them to confront their physiological challenges with real-time musical expression.

In conclusion, MUSIPY is the real-time platform that uses data to identify untreated anxiety disorders and prescribes real-time music therapy in order to help patients overcome their anxiety. We believe this will not only improve outcomes for certain individuals, but also widen access to critical treatment that are currently either unattainable or ineffective.