Evgenii Pustozerov +2 more instructors

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The Development of Mobile Health Monitoring Systems

Saint Petersburg State University

About this Course

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This join course created by SPSU and ETU  includes 5 modules dedicated to different stages of the system development. Its modules represent several widely separated fields of biomedical engineering. We interconnect them by applying the knowledge from them all to a common task – the development of a prototype of an mHealth ECG system with built-in data-driven signal processing and analysis. Working on this task throughout the course, you will acquire a knowledge on how these branches of science, including electronics, mathematics, data science and programming are applied together in a real project. Pieces of hardware and software, as well as the data sets that we utilize in this course are the same components that we use in our work developing prototypes of devices and algorithms for our tasks in science and engineering.
The course is a joint work of Saint Petersburg State University and Saint Petersburg Electrotechnical University ETU ("LETI").
Note that the goal of the course is not to provide you with fundamental knowledge on any of the topics highlighted in the modules, but to give you some useful skills on implementing them in practical tasks using MATLAB environment (the course requires a licences copy of MATLAB).

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Intermediate Level

Basic knowledge of mathematics, electronics and programming in MATLAB.

Approx. 21 hours to complete

English

Subtitles: English

Instructors

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Basic knowledge of mathematics, electronics and programming in MATLAB.

Approx. 21 hours to complete

English

Subtitles: English

Offered by

Saint Petersburg State University

Санкт-Петербургский государственный университет (СПбГУ) — старейший вуз России, основанный в 1724 году. Университет сегодня — научный, образовательный и культурный центр мирового значения, неизменно входящий во все международные рейтинги вузов. В номинации взаимодействие с работодателями QS Graduate Employability 2018 СПбГУ занимает 20 место среди 400 ведущих вузов мира и является лучшим в России.

В настоящее время СПбГУ реализует 418 образовательных программ, включающих самые современные направления подготовки и специальности. Сертификат об успешном окончании представленных онлайн-курсов дает 5 дополнительных баллов при поступлении на программы магистратуры и аспирантуры СПбГУ. St Petersburg University is the oldest university in Russia, founded in 1724. The University today is a world-class research, educational and cultural centre which is always included in all international rankings of world universities. St Petersburg University was ranked 20th in QS Graduate Employability Ranking 2018 among 400 leading universities in the world and is the best in Russia. At present, St Petersburg University offers 418 academic programmes, including the most advanced areas and fields of study. The certificate of successful completion of offered online courses gives five additional points when applying for master’s and doctoral programmes at St Petersburg University.

Syllabus - What you will learn from this course

Week

Week 1

4 hours to complete

Remote health monitoring system hardware

Welcome to Module 1! Medical systems for remote monitoring of patients have become extremely popular in recent years. Most of them have a similar structure, which will be discussed in detail in this module using the example of an electrocardiogram signal registration device. We will talk about hardware part of modern ECG recorders, and problems, connected with processing of biomedical signals.

4 hours to complete

11 videos (Total 70 min), 4 readings, 2 quizzes

11 videos

Introduction3m

The Structure of Remote Health Monitoring Systems5m

Problems Related to Hardware Development5m

Typical Scheme of an ECG Recording Channel3m

The Basics of Analog-to-Digital Conversion. Types of ADC5m

AFE Implementation for ECG Registration8m

Implementation of an AFE Evaluation Board8m

Basics of Arduino Platform Programming7m

A Simple Program for the Arduino Board8m

Arduino Peripheral Devices (UART, ADC, GPIO)6m

Programming an Arduino ADC7m

4 readings

Basics of remote monitoring systems design10m

Basics of Analog-to-digital convertion10m

Basics of Electrocardiography15m

Basics of Arduino10m

1 practice exercise

Remote health monitoring system hardware30m

Week

Week 2

4 hours to complete

Data Exchange Between Device And Personal Computer

Welcome to Module 2! The implementation of the protocol for transferring data from a patient’s wearable device to a computer is an extremely important step in the entire development of a telemedicine system. This module will consider the easiest and most affordable wired data transfer method using the RS-232 interface, virtual Com ports and the MatLab software environment.

4 hours to complete

7 videos (Total 62 min), 3 readings, 2 quizzes

7 videos

Serial Interface8m

COM-Port Setup in MATLAB5m

Package Data Transferring6m

Connecting Arduino Via Virtual COM-Port10m

Working with Arduino Hardware Support Package for MATLAB10m

Plotting Real-Time Data with Arduino Hardware Package10m

Saving Data from Arduino Virtual COM-Port9m

3 readings

Serial communication basics10m

Serial communication in MATLAB10m

New Reading20m

1 practice exercise

Data Exchange Basics30m

Week

Week 3

4 hours to complete

Preprocessing of Biomedical Signals

Welcome to Module 3! Use you may know, biomedical signals are corrupted by a significant amount of noise. So, noise removal is used in order to increase signal quality. We will talk about basics method to prepare your signal for future analysis. In the Programming part of the Module we will learn how to evaluate and analyze ECG-signal spectrum and create a digital filter using MATLAB.

4 hours to complete

9 videos (Total 86 min), 2 readings, 2 quizzes

9 videos

Measurement System Chain7m

Noise in Biomedical Signals5m

Spectral Analysis Basics. The Fourier Transform7m

Alternative Spectral Estimation5m

Spectral Analysis in MATLAB13m

Digital Filters7m

Transfer Function8m

Filter Design Using MATLAB10m

Programming assignment, additional explanation19m

2 readings

Spectral Estimation Approaches15m

Digital Filters13m

1 practice exercise

Biomedical signal preprocessing20m

Week

Week 4

4 hours to complete

Event Detection in Biomedical Signals

Welcome to Module 4! In most cases, biomedical signal analysis assumes that we have some reference or basic events in the signal. It can be QRS-complexes (for ECG), breaths (for spirogram), eyes movements (for EEG) or steps (for accelerometric signal). We will look closely to this task in the context of ECG-analysis. You will learn different QRS-detection algorithms and create QRS-detector using MATLAB.

4 hours to complete

10 videos (Total 88 min), 3 readings, 2 quizzes

10 videos

Problem Statement3m

Feature Extraction Based on Signal Spectral Characteristics5m

Statistical Signal Processing Methods3m

Feature Extraction Using MATLAB11m

Peak Detection Algorithms6m

Simple Derivative-Based Algorithm for QRS Detection12m

Peak Detector in MATLAB17m

Feature Engineering in Accordance with the Task9m

Feature Engineering Example for an ECG Signal12m

Results Visualization and Analysis4m

3 readings

Feature Extraction10m

Peak Detection Algorithms12m

Multi-Dimensional Feature Space10m

1 practice exercise

Event detection in biomedical signals20m

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The Development of Mobile Health Monitoring Systems

The Development of Mobile Health Monitoring Systems