Introduction¶
This book presents an introduction to processing wearable sensor data using signal processing techniques and machine learning.

Fig. 1 A wearable device. Photo by Luke Chesser on Unsplash¶
The book includes:
Overview: The aims of the book, and details of accompanying workshops.
Background: The background to wearable devices, including the signals they measure, the physiology behind the signals, and their applications.
Resources: Details of the datasets and code used in the book.
Tutorials: Interactive tutorials on signal processing and machine learning techniques.
Case Studies: A case study on cuffless blood pressure estimation using the MIMIC Database.
About: Details of contributing to and maintaining the book.