This book investigates the complex relationship between human ambulation and electrocardiogram (ECG) data captured by wearable devices. It aims to provide a comprehensive analysis of how movement affects ECG readings and how these signals can be interpreted to understand physiological states during walking and other ambulatory activities. The work draws upon research in biomedical engineering, signal processing, and biomechanics to offer insights into the challenges and opportunities in this field.

The book is positioned as a technical exploration of a specialized area within biomedical engineering. Its focus on the intersection of wearable technology, ECG, and ambulation suggests a readership of researchers, engineers, and advanced students in the field. The detailed analysis of signal processing and algorithmic approaches indicates a comprehensive and potentially dense treatment of the subject matter, likely appealing to those seeking in-depth knowledge rather than a general overview.