Using Synchronously Registered Biosignals Dataset for Teaching Basics of Medical Data Analysis – Case Study

Tomasz Kocejko

doi:10.34808/x55q-sz53_dyr_roz7

Using Synchronously Registered Biosignals Dataset for Teaching Basics of Medical Data Analysis – Case Study

Abstract

Medical data analysis and processing strongly relies on the data quality itself. The correct data registration allows many unnecessary steps in data processing to be avoided. Moreover, it takes a certain amount of experience to acquire data that can produce replicable results. Because consistency is crucial in the teaching process, students have access to pre-recorded real data without the necessity of using additional equipment for data acquisition. The analyzed sample dataset consists of raw signals of ECG, Body Impedance and Body temperature recorded synchronously in laboratory conditions. The data are sampled with 250Hz sampling frequency and are framed in blocks. Students gain a chance to acquire, exchange and process the medical data in simulated conditions. Pre-recording data provides the opportunity to teach certain techniques that can be used in real life scenarios but in a control replicable environment.

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Tomasz Kocejko dr inż.

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DOI:: Digital Object Identifier (open in new tab) 10.34808/x55q-sz53_dyr_roz7_OK
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Category:

Monographic publication

Type:

rozdział, artykuł w książce - dziele zbiorowym /podręczniku w języku o zasięgu międzynarodowym

Language:

English

Publication year:

2022

Bibliographic description:

Kocejko T.: Using Synchronously Registered Biosignals Dataset for Teaching Basics of Medical Data Analysis – Case Study// Sharing research data across disciplines/ : , 2022, s.100-105

DOI: