@inproceedings{scholars1598,
         journal = {2011 National Postgraduate Conference - Energy and Sustainability: Exploring the Innovative Minds, NPC 2011},
         address = {Perak},
           title = {DWPT based sleep apnea detection},
            note = {cited By 0; Conference of 3rd National Postgraduate Conference - Energy and Sustainability: Exploring the Innovative Minds, NPC 2011 ; Conference Date: 19 September 2011 Through 20 September 2011; Conference Code:88531},
            year = {2011},
             doi = {10.1109/NatPC.2011.6136432},
          author = {Ali, S. Q.-U.-A. and Jeoti, V.},
            isbn = {9781457718847},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84857094685&doi=10.1109\%2fNatPC.2011.6136432&partnerID=40&md5=46b9aed587772ebae9018163ba9080ba},
        keywords = {Apnea; Clinical conditions; Discrete wavelet packet transforms; DSP; ECG data; Heart rates; Respiration; Respiratory cycle; RR intervals; Sleep apnea; Sleep apnea detection, Sustainable development, Electrocardiography},
        abstract = {Sleep Apnea is a clinical condition related to problematic breathing during the course of sleep. Patient faces epochs of less or completely vanished respiratory cycles for more then 15-20 seconds. Traditional methods to detect the ailments are troublesome both in terms of finance and physical routine. This study focuses the effects of sleep apnea on heart rate. MIT-BIH sleep apnea database has been deployed. RR intervals have been derived from ECG data and Discrete Wavelet Packet Transform (DWPT) has been employed to highlight the differences in normal and abnormal cases. An overall accuracy of 85 was achieved by this method. {\^A}{\copyright} 2011 IEEE.}
}