It takes the average reader 1 hour and 15 minutes to read Self-powered SoC Platform for Analysis and Prediction of Cardiac Arrhythmias by Hani Saleh
Assuming a reading speed of 250 words per minute. Learn more
This book presents techniques necessary to predict cardiac arrhythmias, long before they occur, based on minimal ECG data. The authors describe the key information needed for automated ECG signal processing, including ECG signal pre-processing, feature extraction and classification. The adaptive and novel ECG processing techniques introduced in this book are highly effective and suitable for real-time implementation on ASICs.
Self-powered SoC Platform for Analysis and Prediction of Cardiac Arrhythmias by Hani Saleh is 74 pages long, and a total of 18,796 words.
This makes it 25% the length of the average book. It also has 23% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 1 hour and 42 minutes to read Self-powered SoC Platform for Analysis and Prediction of Cardiac Arrhythmias aloud.
Self-powered SoC Platform for Analysis and Prediction of Cardiac Arrhythmias is suitable for students ages 8 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
Self-powered SoC Platform for Analysis and Prediction of Cardiac Arrhythmias by Hani Saleh is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.
To buy Self-powered SoC Platform for Analysis and Prediction of Cardiac Arrhythmias by Hani Saleh on Amazon click the button below.
Buy Self-powered SoC Platform for Analysis and Prediction of Cardiac Arrhythmias on Amazon