期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

Heart Rate Extraction from Vowel Speech Signals 被引量：6

Heart Rate Extraction from Vowel Speech Signals
原文传递
导出
摘要 This paper presents a novel non-contact heart rate extraction method from vowel speech signals. The proposed method is based on modeling the relationship between speech production of vowel speech signals and heart activities for humans where it is observed that the moment of heart beat causes a short increment （evolution） of vowel speech formants. The short-time Fourier transform （STFT） is used to detect the formant maximum peaks so as to accurately estimate the heart rate. Compared with traditional contact pulse oximeter, the average accuracy of the proposed non-contact heart rate extraction method exceeds 95%. The proposed non-contact heart rate extraction method is expected to play an important role in modern medical applications. This paper presents a novel non-contact heart rate extraction method from vowel speech signals. The proposed method is based on modeling the relationship between speech production of vowel speech signals and heart activities for humans where it is observed that the moment of heart beat causes a short increment （evolution） of vowel speech formants. The short-time Fourier transform （STFT） is used to detect the formant maximum peaks so as to accurately estimate the heart rate. Compared with traditional contact pulse oximeter, the average accuracy of the proposed non-contact heart rate extraction method exceeds 95%. The proposed non-contact heart rate extraction method is expected to play an important role in modern medical applications.
作者 Abdelwadood Mesleh Dmitriy Skopin Sergey Baglikov Anas Quteishat
机构地区 Computer Engineering Department Help MediCom Group
出处 《Journal of Computer Science & Technology》 SCIE EI CSCD 2012年第6期1243-1251,共9页 计算机科学技术学报（英文版）
关键词 ELECTROCARDIOGRAM feature extraction heart rate short-tlme Fourier transform vowel speech signal electrocardiogram, feature extraction, heart rate, short-tlme Fourier transform, vowel speech signal
分类号 R540.41 [医药卫生—心血管疾病] TN912.34 [电子电信—通信与信息系统]
  • 相关文献

参考文献17

  • 1Cuesta-Frau D, Pbrez-Cortes J, Andreu-Garcia G, Novak D. Feature extraction methods applied to the clustering of elec- trocardiographic signals: A comparative study. In Proc. the 16th Int. Conf. Pattern Recognition, August 2002, Vol.3, pp.961-964.
  • 2Browman C, Goldstein L. Representation and reality: Physi- cal systems and phonological structure. Journal of Phonetics, 1990, 18: 411-424.
  • 3Skopin D, Baglikov S. Heartbeat feature extraction from vowel speech signal using 2D spectrum representation. In Proc. the 4th Int. Conf. Information Technology, June 2009.
  • 4Papaloukas C, Fotiadis D, Likas A, Michalis L. Automated methods for ischemia detection in long duration EGGs. Car- diovascular Reviews & reports, 2003, 24(6): 313-319.
  • 5Turrkbey E, Jorgensen N, Johnson Wet al. Physical activity and physiological cardiac remodelling in a community setting: The Multi-Ethnic Study of Atherosclerosis (MESA). Heart and Education in Heart, 2010, 96(1): 42-48.
  • 6Pickett J. The Acoustics of Speech Communication: Funda- mentals, Speech Perception Theory, and Technology. Allyn & Bacon, 1998.
  • 7Georgoulas G, Stylios C, Groumpos P. Predicting the risk of metabolic acidosis for newborns based on fetal heart rate sig- nal classification using support vector machines. IEEE Trans. Biomedical Engineering, 2006, 53(5): 875-884.
  • 8Maton A, llopkins J, McLaughlin C et al. Human Biology and llealth. New ,Jersey, USA: Prentice ttall, 1993.
  • 9Berntson G, Bigger J, Eckberg D et al. lfeart rate variability: Origins, methods, and interpretive caveats. Psychophysiol- ogy, 1997, 34(6): 623-648.
  • 10Li S, Ji Y, Liu G. Optimal wavelet basis selection of wa.velet shrinkage for ECG de-noising. In Proc. Int. Conf. Manage- ment and Service Science, September 2009, pp.1-4.

同被引文献78

引证文献6

二级引证文献20

Journal of Computer Science & Technology
2012年 第6期

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部