Uusi opinto-opas (sisältäen myös opetusohjelmat) lukuvuodelle 2018-2019 sijaitsee osoitteessa https://opas.peppi.utu.fi . Tältä sivustolta löytyvät enää vanhat opinto-oppaat ja opetusohjelmat.

The new study guide (incl. teaching schedules) for academic year 2018-2019 can be found at https://studyguide.utu.fi. This site contains only previous years' guides.

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Archived Curricula Guide 2016–2018
Curricula Guide is archieved. Please refer to current Curricula Guides
Curricula Guides » Faculty of Science and Engineering » Department of Future Technologies » Internet-of-Things
DTEK0042 Acquisition and Analysis of Biosignals 5 ECTS
Organised by
Information and Communication Technology

Learning outcomes

To understand how the sensor technology and information technology can be exploited in the healthcare sector. To learn principles of signal processing methods for biosignals and the limitations imposed by wireless hardware.

Contents

Review of different physiological signals such as heart rate, body and skin temperature, blood pressure, oxygen saturation and respiration rate etc. which can be monitored by wearables. It is discussed what kind of sensor technology is required to capture each of these physiological signals. Signal conditioning and processing for different types of biosignals. For example Electrocardiography (ECG), Electroencephalogram (EEG), Electromyography (EMG) all measure electrical signals from the body, but have different applications and different signal processing.

Modes of study

Option 1
Available for:
  • Degree Programme Students
  • Other Students
  • Doctoral Students
  • Exchange Students
Written exam
  • In English
Exercise(s)
  • In English

Lectures, Exercise(s), Written exam

Evaluation

Numeric 0-5.

Belongs to following study modules

Department of Future Technologies
Department of Biochemistry
2018–2019
Teaching
Archived Teaching Schedule. Please refer to current Teaching Shedule.
Implementation details are unavailable.
Department of Future Technologies
DP in Computer Science
DP in Computer Science
DP Bachelor of Science in Techn.(Communication St)
DP in Information and Communication Technology
MDP in Digital Health and Life Sciences (Tech.)
Finnish Study Modules