Extraction of Heart Rate Parameters Using Speech Analysis
نویسندگان
چکیده
The heart rate variation has been observed when analyzing the speech analysis of a person sitting at remote place. In the presented approach, 20 –30 years age group person’s speech is recorded using the common recording utility for testing purposes. The time duration for speech production is approximately 1 2 minutes. Further, the entropy, energy, power, mean, frequency, standard deviation and variance are computed by statistical analysis of the speech signal. The equations for the same are illustrated in algorithm section of the paper. A correlation is established between the heart rate and features of the speech signal. The validation of the algorithm for correlation between the features and heart rate is the important activity of the work. More and more no. of speech signal samples may be tried out for exact correlation of heart rate and feature vectors.
منابع مشابه
Phoneme Classification Using Temporal Tracking of Speech Clusters in Spectro-temporal Domain
This article presents a new feature extraction technique based on the temporal tracking of clusters in spectro-temporal features space. In the proposed method, auditory cortical outputs were clustered. The attributes of speech clusters were extracted as secondary features. However, the shape and position of speech clusters change during the time. The clusters temporally tracked and temporal tra...
متن کاملHuman identification using heart sound
In this paper, we investigate the possibility of using heart sound as a biometric for human identification. The most significant contribution of using heart sound as a biometric is that it cannot be easily simulated or replicated as compared to other conventional biometrics. Our approach consists of a robust feature extraction scheme which is based on cepstral analysis with a specified configur...
متن کاملAnalysis of Heart Rate Variability During Meditative and Non-Meditative State Using Analysis of Variance
In this paper the main objective is to quantify and compare the instantaneous value of heart rate for normal breathing patterns during Meditation and Non Meditation conditions. This paper involves Analysis of Variance (ANOVA) technique for the analysis of the heart rate variability patterns during the meditative and non meditative states. The analysis is divided into three stages i.e. data acqu...
متن کاملAnalysis of Heart Rate Variability During Meditative and Non-Meditative State Using Analysis of Variance
In this paper the main objective is to quantify and compare the instantaneous value of heart rate for normal breathing patterns during Meditation and Non Meditation conditions. This paper involves Analysis of Variance (ANOVA) technique for the analysis of the heart rate variability patterns during the meditative and non meditative states. The analysis is divided into three stages i.e. data acqu...
متن کاملA PCA/ICA based Fetal ECG Extraction from Mother Abdominal Recordings by Means of a Novel Data-driven Approach to Fetal ECG Quality Assessment
Background: Fetal electrocardiography is a developing field that provides valuable information on the fetal health during pregnancy. By early diagnosis and treatment of fetal heart problems, more survival chance is given to the infant.Objective: Here, we extract fetal ECG from maternal abdominal recordings and detect R-peaks in order to recognize fetal heart rate. On the next step, we find a be...
متن کامل