Abstract
Controlled cardiac rehabilitation has shown to be an
effective and cost-efficient form of treatment. However,
it could be supported by technology. We used a
scenario-based method to approach the issue and to
consider it from the technical perspective. We also tried
out signal processing methods in rejection of artifacts
and quantization of ECG features from ECG data collected
with two different portable recorders. For example
correct R-peak detection rates ranged between 98.2% and
99.9% with 5 different tested R-peak detection routines.
Conclusions: comments resulted from the scenario work was
educative and simple ECG signal processing results
promising.
Original language | English |
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Title of host publication | 2008 Second International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth). Tampere, Finland, 30 Jan. - 1 Feb. 2008 |
Publisher | IEEE Institute of Electrical and Electronic Engineers |
Pages | 281 - 284 |
ISBN (Print) | 978-963-9799-15-8 |
DOIs | |
Publication status | Published - 2008 |
MoE publication type | A4 Article in a conference publication |
Keywords
- ECG
- signal processing
- scenario evaluation
- cardiac patient