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David Pollreisz

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Journal Articles

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2022
[j1]
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  - journals/monet/PollreiszT22
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  - https://dblp.org/rec/journals/monet/PollreiszT22
David Pollreisz, Nima TaheriNejad:
Detection and Removal of Motion Artifacts in PPG Signals. Mob. Networks Appl. 27(2): 728-738 (2022)

Conference and Workshop Papers

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2024
[c6]
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  - conf/ehealth2/LangWKGPKKB24
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Clemens Lang, Silvia Winkler, Johannes Koren, Gerhard Gritsch, David Pollreisz, Stefan Köpl, Tilmann Kluge, Christoph Baumgartner:
Feasibility of an Integrated Telemonitoring System for Home-Recorded EEG with Automated AI-Based EEG Analysis. dHealth 2024: 158-159
2020
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  - conf/embc/PollreiszT20
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David Pollreisz, Nima Taherinejad:
Efficient Respiratory Rate Extraction on a Smartwatch. EMBC 2020: 5988-5991
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  - conf/lascas/PollreiszT20
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David Pollreisz, Nima Taherinejad:
Reliable Respiratory Rate Extraction using PPG. LASCAS 2020: 1-4
2017
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David Pollreisz, Nima Taherinejad:
A simple algorithm for emotion recognition, using physiological signals of a smart watch. EMBC 2017: 2353-2356
2016
[c2]
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  - conf/fedcsis/TaherinejadJP16
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Nima Taherinejad, Axel Jantsch, David Pollreisz:
Comprehensive Observation and its Role in Self-Awareness; An Emotion Recognition System Example. FedCSIS (Position Papers) 2016: 117-124
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Nima Taherinejad, David Pollreisz:
Assessment of Physiological Signals During Happiness, Sadness, Pain or Anger. MobiHealth 2016: 107-114

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