Creating Sleep-Health Awareness and Developing of a Sleep-Apnea Screening Tool for People of Developing/Under-Developed Countries
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Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-33-6915-3_2
Reference22 articles.
1. Altay YA, Kremlev AS (2018) Comparative analysis of ECG signals processing methods in the time-frequency domain. In: 2018 IEEE conference of Russian young researchers in electrical and electronic engineering (EIConRus), pp 1058–1062
2. ApneaLinkTM. https://www.resmed.com
3. Bali JS, Nandi A (2016) An experience, using software based tools for teaching and learning mathematically intensive signal processing theory concepts. In: 2016 IEEE 4th international conference on MOOCs, Innovation and Technology in Education (MITE), Madurai, pp 100–104. https://doi.org/10.1109/MITE.2016.029
4. Bali JS, Nandi A (2017a) ECG signal based power aware system for obstructive sleep apnea detection. In: 2017 international conference on recent trends in electrical, electronics and computing technologies. 978-1-5090-6266-9/17 $31.00 © 2017 IEEE. https://doi.org/10.1109/ICRTEECT.2017.43
5. Bali JS, Nandi A (2017b) Simplified process of obstructive sleep apnea detection using ECG signal based analysis with data flow programming. In: ICTIS 2017 , Ahmadabad 25th and 26th March 2017, Information and communication technology for intelligent systems (ICTIS 2017), smart innovation, systems and technologies, vol 84. Springer, Cham. https://doi.org/10.1007/978-3-319-63645-0_18
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