In search of the cause in motor control

We search for a cause in everything, it is hard for us to accept that nature doesn't have a plan. Lagrangians/Hamiltonians seem to work very well in mechanics. I have used a similar approach to model arm movements for 'normals' and 'not-normals'. The methodology in nutshell is as simple as this, when we move our… Continue reading In search of the cause in motor control

Compressive sensing – the most magical of signal processing.

We learn in undergraduate studies about the Nyquist rate, sampling theorem.  At least some of us might have felt that it is a bit of an overkill. Why do we always use twice the frequency of the signal for sampling? Cant, we make use of some of the innate patterns of the signal and reduce… Continue reading Compressive sensing – the most magical of signal processing.

Machine Learning using python in 5 lines

Machine learning simplified

Can we measure blood pressure from radial artery pulse?

Radial artery pulse is caused by the blood pressure wave originating from the heart. There have been attempts to make use of radial artery pulse for different things, in Indian cinema doctors detect if someone is pregnant using the pulse (Joke).  Jokes aside,  one of my endeavors was to develop a method to estimate blood… Continue reading Can we measure blood pressure from radial artery pulse?

An important note for ergodic theory

Algebra, sigma algebra, and topological space The following definitions helped me getting started with ergodic theory. Hahn Kolmogorov Extension theorem and everything else starts with a proper understanding of the Algebra, sigma algebra and topological space and techniques to transport from one to the other. 'An algebra is a collection of subsets closed under finite… Continue reading An important note for ergodic theory