Part 1 General introduction.
Chapter 1 A preamble: what is, and what telemedicine is for.
Chapter 2 How the brain works.
Chapter 3 Some examples of logic reasoning in humans.
Chapter 4 Working with data.
Chapter 5 A note on Bayesian probability.
Chapter 6 Neural networks.
Chapter 7 Machine learning and deep learning.
Chapter 8 Arti.cial intelligence.- Part 2 Telemedicine.
Chapter 9 Systems.
Chapter 10 Telemedicine, e-health, telehealth.
Chapter 11 Computer networks.
Chapter 12 Communications.
Chapter 13 Wearable sensors.
Chapter 14 Medical imaging.
Chapter 15 Some areas of telemedicine.
Chapter 16 Telesurgery.- Part 3 Math insights.
Chapter 17 Calculus in one and more variables.
Chapter 18 Integral transforms.
Chapter 19 A primer of fractional calculus.
Chapter 20 Vectors.
Chapter 21 Matrices.
Chapter 22 Matrix differentiation.
Chapter 23 Differential equations.
Chapter 24 Introduction to partial differential equations.
Chapter 25 Some mathematics for neural networks.
