Athletic Injury Avoidance

The measurement of subtle conditional degradations that occurs in periodic human conditions such as running or walking is sometimes difficult in the time domain.


These conditions are present at times during an event and may vanish for a period as we compensate for them.


IHFE employs our own novel approaches and conversions of accelerometer data, which allows us to pick up failures and injuries before they become debilitating in an athlete. These include: Fast Fourier Transformation (FFT), Short Term Fourier Transformation (STFT), and Artificial Neural Networks (ANN).

© 2021 Equalis LLC

Columbus, OH, United States


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