A novel PSWT-DTW approach for analyzing pseudo-periodic signals
14 Feb 2013-pp 58-64
TL;DR: A novel combination of the pitch synchronous wavelet transform which when combined with dynamic time warping results in effective quantification of cycles in the pseudo-periodic signal.
Abstract: Pseudo-periodic signals are rampant in biomedical applications but are difficult to analyze. One approach is to compute time domain parameters of each individual cycle in the pseudo-periodic signal. The classic approach requires repeated computation in each cycle, which tends to be either error prone, computationally burdensome, or requires manual effort. We provide a novel combination of the pitch synchronous wavelet transform which when combined with dynamic time warping results in effective quantification of cycles in the pseudo-periodic signal. We demonstrate our application of this method in studying the arterial pulse. The results show that our approach is feasible and effective, and confirms further scope in other applications.
Citations
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TL;DR: If one is going through persistent health issues, Nadi Nidan will help in finding out the imbalance and will also give warning signals about potential health issues one may face in the near future.
Abstract: The symptoms of disease manifest in the pulse long before they do in the body. This technique helps to get to the root cause of the disease instead of just treating it based on the visible signs and symptoms. Unfortunately, Indian Ayurveda/Traditional Medical System using Pulse signals, Tridosha and Panchamahabhutas diagnosis has not been optimally exploited. The existing Tridosha based diagnosis are few in number and not easily accessible or expensive for people to use. Consequently, optimal remedies to overcome the imbalances become available only by consulting doctors. Our method is a non-invasive procedure. It helps in quantitative detection of characteristics of the pulse that may be forceful or weak which in turn helps in measuring the variation between normal and current pulse patterns. If one is going through persistent health issues, Nadi Nidan will help in finding out the imbalance and will also give warning signals about potential health issues one may face in the near future. It can further be used to suggest locations of nearby clinics for an immediate visit if required and also suggest some possible remedies inclusive of yoga, meditation, etc.
5 citations
Journal Article•
TL;DR: The main aim of this review is to provide an overview of the data acquisition techniques used for Ayurvedic wrist-pulse based diagnosis by using instrumentation for acquisition and complex statistical analysis tools for the knowledge discovery process.
Abstract: Study of pulse-based diagnostic techniques is gaining popularity because of its importance in alternative medicine (Ayurveda, Unani, Traditional Chinese Medicine, etc.), increasingly being used in several countries worldwide. In Ayurveda, it is considered that imbalance in the tridoshas gives rise to the diseased state of the individual. Pulse-based diagnosis (Nadi Pariksha in Ayurveda) is a quick and simple technique where the Ayurvedic doctor (vaidya) gathers the information of the health condition by placing three fingers (index, middle and ring) on the wrist of the individual. Efforts are now being made to standardize the protocol for research in the Ayurvedic pulse-based diagnostic approach (over the last decade) by using instrumentation for acquisition and complex statistical analysis tools for the knowledge discovery process. The main aim of this review is to provide an overview of the data acquisition techniques used for Ayurvedic wrist-pulse based diagnosis. These contents are mainly extracted from the published work from more than 50 journal and conference articles.
3 citations
Journal Article•
TL;DR: The main aim of this review is to provide a summary of the feature extraction and pattern recognition techniques used for the Ayurvedic wrist-pulse based diagnostic techniques.
Abstract: Ayurveda has been practiced for thousands of years in India and the demand in the implementation of this form of alternative medicine is increasing because of accurate diagnosis and long term effect. The Ayurvedic doctor ( vaidya ) gets the health related information of the individual by placing the three fingertips (index, middle and ring) at the wrist. The procedure of pulse acquisition is subjective anddiffers not only from vaidya to vaidya but also depends on other physiological, pathological and environmental factors. These varying factors have made it difficult to correlate the subjective information with the laboratory controlled proof-based methodology used to quantize modern medicine. There are several attempts to standardize this Ayurvedic pulse-based methodology by using advanced instrumentation. The main aim of this review is to provide a summary of the feature extraction and pattern recognition techniques used for the Ayurvedic wrist-pulse based diagnostic techniques. Modifications in the pulse due to certain physiological and pathological conditions have also been described. These contents are mainly extracted from the published work from more than 50 journal and conference articles.
2 citations
Cites background or methods from "A novel PSWT-DTW approach for analy..."
...[12, 18] These parameters obtained are used to derive new parameters linking them to other physiological parameters (Example: depth through h1)....
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...[18] (b) Pulse rate variability observed in three beats....
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References
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TL;DR: A computer system is described in which isolated words, spoken by a designated talker, are recognized through calculation of a minimum prediction residual through optimally registering the reference LPC onto the input autocorrelation coefficients using the dynamic programming algorithm.
Abstract: A computer system is described in which isolated words, spoken by a designated talker, are recognized through calculation of a minimum prediction residual. A reference pattern for each word to be recognized is stored as a time pattern of linear prediction coefficients (LPC). The total log prediction residual of an input signal is minimized by optimally registering the reference LPC onto the input autocorrelation coefficients using the dynamic programming algorithm (DP). The input signal is recognized as the reference word which produces the minimum prediction residual. A sequential decision procedure is used to reduce the amount of computation in DP. A frequency normalization with respect to the long-time spectral distribution is used to reduce effects of variations in the frequency response of telephone connections. The system has been implemented on a DDP-516 computer for the 200-word recognition experiment. The recognition rate for a designated male talker is 97.3 percent for telephone input, and the recognition time is about 22 times real time.
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Proceedings Article•
01 Jan 2001TL;DR: Dynamic time warping (DTW), is a technique for efficiently achieving this warping of sequences that have the approximately the same overall component shapes, but these shapes do not line up in X-axis.
Abstract: Time series are a ubiquitous form of data occurring in virtually every scientific discipline. A common task with time series data is comparing one sequence with another. In some domains a very simple distance measure, such as Euclidean distance will suffice. However, it is often the case that two sequences have the approximately the same overall component shapes, but these shapes do not line up in X-axis. Figure 1 shows this with a simple example. In order to find the similarity between such sequences, or as a preprocessing step before averaging them, we must "warp" the time axis of one (or both) sequences to achieve a better alignment. Dynamic time warping (DTW), is a technique for efficiently achieving this warping. In addition to data mining (Keogh & Pazzani 2000, Yi et. al. 1998, Berndt & Clifford 1994), DTW has been used in gesture recognition (Gavrila & Davis 1995), robotics (Schmill et. al 1999), speech processing (Rabiner & Juang 1993), manufacturing (Gollmer & Posten 1995) and medicine (Caiani et. al 1998).
1,131 citations
"A novel PSWT-DTW approach for analy..." refers methods in this paper
...the individual TDP for every cycle, we develop a simple and robust method that allows an elastic shifting of the time axis, based on dynamic time warping (DTW) [10], [11]....
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...We present a novel approach that combines the pitch synchronous wavelet transform (PSWT) [4] with the dynamic time warping idea (DTW) [10] used extensively in speech processing....
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01 Jan 1975
347 citations
"A novel PSWT-DTW approach for analy..." refers background in this paper
...Because of this flexibility, DTW was introduced by the speech recognition community [5] and has spread to other disciplines of application....
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TL;DR: New data may help to explain previous findings in women of an age-related increase in left ventricular mass and excess symptomatic heart failure that are not explained by differences in brachial BP.
324 citations
"A novel PSWT-DTW approach for analy..." refers background in this paper
...Recently the arterial pulse signals have had a minor renaissance and quantified; results on the shape of the arterial pulse signals show variations with age in [8] (through the shift of multifractal spectrum), with gender in [2] (through variations in augmentation index),...
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TL;DR: The CP function is applied to estimate the parameters of the multicomponent cubic phase signals, and the clear instantaneous ISAR images are obtained.
Abstract: When reconstructing the ISAR image of a maneuvering target rotating approximately with the equal changing acceleration, the received signals can be considered as the multicomponent cubic phase signals. If the model of rotating with constant acceleration is used here, the errors of the reconstructed images cannot be neglected, and a lot of pseudoscatterers are produced. Hence, the ISAR imaging of rotating target with equal changing acceleration based on the cubic phase (CP) function is presented in this paper. The CP function is applied to estimate the parameters of the multicomponent cubic phase signals, and the clear instantaneous ISAR images are obtained. The results of simulated data demonstrate the effectiveness of the method proposed.
161 citations