Description
Pulseme photoplethysmography uses light to measure, to measure flowing blood from the artery to the brain and body.
Pulse me uses XGboost algorithm to deliver accuracy.}
XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable. It implements machine learning algorithms under the Gradient Boosting framework. XGBoost provides a parallel tree boosting (also known as GBDT, GBM) that solve many data science problems in a fast and accurate way. The same code runs on major distributed environment (Hadoop, SGE, MPI) and can solve problems beyond billions of examples.
Pulse Me is ideal for
- Low cost home ecg monitoring for stroke, heart attack survivors (see video clip about elasticity of aorta, small artery, vagal stiffness).
- Yoga, meditation, sports
- Monitor blood flow to the brain during neurofeedback sessions.
- Monitor blood flow for longevity
- Monitor blood flow for patients
- Monitor blood flow for love ones
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