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Acquisition and Analysis of Biosignals (2017 Autumn)

Organisation: UTU / Dept. of Future Technologies

Credit Points: 5

Responsible Person: Mikko Pänkäälä

Course code: DTEK0042

Objectives:
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.

Content:
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.

6.9.–15.12.2017

Lectures:

  1. Tue 31.10.–12.12. weekly at 12–14, K127, Agora
  2. Thu 2.11.–14.12. weekly at 12–14, K127, Agora