Pub Date : 2018-09-01DOI: 10.23919/SPA.2018.8563311
N. Petrovsky, Eugene V. Rybenkov, A. Petrovsky
This paper presents a novel technique of factorization for 2-D non-separable quaternionic paraunitary filter banks (2-D NSQ-PUFB). Two-dimensional factorization structures called “16in-16out” and “64in-64out” respectively for 4-channel and 8-channel $boldsymbol{Q}$-PUFB based on the proposed technique are shown. The given structures can be mapped to parallel-pipeline processor architecture with a minimum latency time $2 (boldsymbol{N}+1)$ quaternion multiplication operations, where $boldsymbol{N}$ is transform order of the $Q$-PUFB. The latency of parallel-pipeline processing does not depend on the size of the original image in contrast to the conventional 2-D transform. The coding gains $boldsymbol{CG_{MD}}$ of 2-D non-separable Q-PUFBs for the isotropic auto-correlation function model with the correlation factor $boldsymbol{rho}=0.95$ are the following: $boldsymbol{C}boldsymbol{G}_{MD}=13.4 text{dB}$ for “16in-16out” structure and $boldsymbol{C}boldsymbol{G}_{MD}=15.6 text{dB}$ for “64in-64out” structure.
{"title":"Two-dimensional non-separable quaternionic paraunitary filter banks","authors":"N. Petrovsky, Eugene V. Rybenkov, A. Petrovsky","doi":"10.23919/SPA.2018.8563311","DOIUrl":"https://doi.org/10.23919/SPA.2018.8563311","url":null,"abstract":"This paper presents a novel technique of factorization for 2-D non-separable quaternionic paraunitary filter banks (2-D NSQ-PUFB). Two-dimensional factorization structures called “16in-16out” and “64in-64out” respectively for 4-channel and 8-channel <tex>$boldsymbol{Q}$</tex>-PUFB based on the proposed technique are shown. The given structures can be mapped to parallel-pipeline processor architecture with a minimum latency time <tex>$2 (boldsymbol{N}+1)$</tex> quaternion multiplication operations, where <tex>$boldsymbol{N}$</tex> is transform order of the <tex>$Q$</tex>-PUFB. The latency of parallel-pipeline processing does not depend on the size of the original image in contrast to the conventional 2-D transform. The coding gains <tex>$boldsymbol{CG_{MD}}$</tex> of 2-D non-separable Q-PUFBs for the isotropic auto-correlation function model with the correlation factor <tex>$boldsymbol{rho}=0.95$</tex> are the following: <tex>$boldsymbol{C}boldsymbol{G}_{MD}=13.4 text{dB}$</tex> for “16in-16out” structure and <tex>$boldsymbol{C}boldsymbol{G}_{MD}=15.6 text{dB}$</tex> for “64in-64out” structure.","PeriodicalId":265587,"journal":{"name":"2018 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126264255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.23919/SPA.2018.8563433
Michal Pielka, P. Janik, M. Janik, Z. Wróbel
The article presents a tested, integrated architecture of a single sensor network node with an algorithm that has allowed to reduce power consumption, without limiting the ability to process data from a multi-axis MEMS sensor. In the experiment described in the article, the energy efficiency of the sensor module has been increased by 64%. By using the SoC chip system, the printed circuits (PCB) of the sensor module have been reduced to 26 mm × 16 mm. In turn, the use of the Modem Sleep mechanism has allowed for effective feeding of the developed sensor module by means of a battery with 175 mAh capacity whose dimensions do not exceed the size of PCB.
{"title":"An adaptive transmission algorithm for an inertial motion capture system in the aspect of energy saving","authors":"Michal Pielka, P. Janik, M. Janik, Z. Wróbel","doi":"10.23919/SPA.2018.8563433","DOIUrl":"https://doi.org/10.23919/SPA.2018.8563433","url":null,"abstract":"The article presents a tested, integrated architecture of a single sensor network node with an algorithm that has allowed to reduce power consumption, without limiting the ability to process data from a multi-axis MEMS sensor. In the experiment described in the article, the energy efficiency of the sensor module has been increased by 64%. By using the SoC chip system, the printed circuits (PCB) of the sensor module have been reduced to 26 mm × 16 mm. In turn, the use of the Modem Sleep mechanism has allowed for effective feeding of the developed sensor module by means of a battery with 175 mAh capacity whose dimensions do not exceed the size of PCB.","PeriodicalId":265587,"journal":{"name":"2018 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114718900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.23919/SPA.2018.8563403
G. Szwoch
Doppler sensors are commonly used for movement detection and speed measurement. However, electromagnetic interferences and imperfections in sensor construction result in degradation of the signal to noise ratio. As a result, detection of signals reflected from moving objects becomes problematic. The paper proposes an algorithm for reduction of distortions and noise in the signal received from a simple, dual-channel type of a Doppler sensor. The proposed method is based on examining phase relationship between I/Q channels of the sensor signal. A weighting function is calculated in order to suppress the distortions while preserving energy of the desired signal. Additionally, the proposed algorithm may select signals reflected by objects moving in a specific direction (e.g. towards the sensor). The processed signal may be further analyzed in order to detect signal frequency and compute the object velocity. The results of the experiments show that the proposed approach results in significant reduction of level of noise and interferences, allowing for detection and tracking of signals reflected from moving objects.
{"title":"Suppression of distortions in signals received from Doppler sensor for vehicle speed measurement","authors":"G. Szwoch","doi":"10.23919/SPA.2018.8563403","DOIUrl":"https://doi.org/10.23919/SPA.2018.8563403","url":null,"abstract":"Doppler sensors are commonly used for movement detection and speed measurement. However, electromagnetic interferences and imperfections in sensor construction result in degradation of the signal to noise ratio. As a result, detection of signals reflected from moving objects becomes problematic. The paper proposes an algorithm for reduction of distortions and noise in the signal received from a simple, dual-channel type of a Doppler sensor. The proposed method is based on examining phase relationship between I/Q channels of the sensor signal. A weighting function is calculated in order to suppress the distortions while preserving energy of the desired signal. Additionally, the proposed algorithm may select signals reflected by objects moving in a specific direction (e.g. towards the sensor). The processed signal may be further analyzed in order to detect signal frequency and compute the object velocity. The results of the experiments show that the proposed approach results in significant reduction of level of noise and interferences, allowing for detection and tracking of signals reflected from moving objects.","PeriodicalId":265587,"journal":{"name":"2018 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123518906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.23919/SPA.2018.8563405
T. Maka, Miroslaw Lazoryszczak
The problem of sound sources estimation and its properties in acoustic scene plays important role in many voice-based interaction systems. The interference between sources can deteriorate system performance meaningfully. The paper presents a comparison results of objective and subjective methods applied to the process of identification the number of speakers in speech mixtures. The audio data set used for computational and subjective tests consists of a number of utterances spoken by from two up to seven simultaneous speakers. In order to determine the number of speakers, two approaches are applied to speech mixtures: first uses spectrogram factorization with NMF (non-negative matrix factorization) algorithm, the other is based on the perceptual evaluation by the group of listeners. Both techniques are compared in terms of classification accuracy.
{"title":"Detecting the Number of Speakers in Speech Mixtures by Human and Machine","authors":"T. Maka, Miroslaw Lazoryszczak","doi":"10.23919/SPA.2018.8563405","DOIUrl":"https://doi.org/10.23919/SPA.2018.8563405","url":null,"abstract":"The problem of sound sources estimation and its properties in acoustic scene plays important role in many voice-based interaction systems. The interference between sources can deteriorate system performance meaningfully. The paper presents a comparison results of objective and subjective methods applied to the process of identification the number of speakers in speech mixtures. The audio data set used for computational and subjective tests consists of a number of utterances spoken by from two up to seven simultaneous speakers. In order to determine the number of speakers, two approaches are applied to speech mixtures: first uses spectrogram factorization with NMF (non-negative matrix factorization) algorithm, the other is based on the perceptual evaluation by the group of listeners. Both techniques are compared in terms of classification accuracy.","PeriodicalId":265587,"journal":{"name":"2018 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115568691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.23919/SPA.2018.8563397
Marcin Kociolek, M. Strzelecki, Szvmon Szymajda
Texture can be a very rich source of information about the image. Texture analysis finds applications, among other things, in biomedical imaging. One of the widely used methods of texture analysis is the Gray Level Co-occurrence Matrix (GLCM). Texture analysis using the GLCM method is most often carried out in several stages: determination of areas of interest, normalization, calculation of the GLCM, extraction of features, and finally, the classification. Values of the GLCM based features depend on the choice of the normalization method, which was examined in this work. The normalization is necessary, since acquired images often suffer from noise and intensity artifacts. Certainly, the normalization will not eliminate these two effects, however it was demonstrated, that its application improves texture analysis accuracy. The aim of the work was to analyze the influence of different normalization methods on the discriminating ability of features estimated from the GLCM. The analysis was performed both for Brodatz textures and real magnetic resonance data. Brodatz textures were corrupted by three types of distortion: intensity nonuniformity, Gaussian noise and Rician Noise. Three types of normalizations were tested: min- max, 1–99% and $+/-3sigma$.
{"title":"On the influence of the image normalization scheme on texture classification accuracy","authors":"Marcin Kociolek, M. Strzelecki, Szvmon Szymajda","doi":"10.23919/SPA.2018.8563397","DOIUrl":"https://doi.org/10.23919/SPA.2018.8563397","url":null,"abstract":"Texture can be a very rich source of information about the image. Texture analysis finds applications, among other things, in biomedical imaging. One of the widely used methods of texture analysis is the Gray Level Co-occurrence Matrix (GLCM). Texture analysis using the GLCM method is most often carried out in several stages: determination of areas of interest, normalization, calculation of the GLCM, extraction of features, and finally, the classification. Values of the GLCM based features depend on the choice of the normalization method, which was examined in this work. The normalization is necessary, since acquired images often suffer from noise and intensity artifacts. Certainly, the normalization will not eliminate these two effects, however it was demonstrated, that its application improves texture analysis accuracy. The aim of the work was to analyze the influence of different normalization methods on the discriminating ability of features estimated from the GLCM. The analysis was performed both for Brodatz textures and real magnetic resonance data. Brodatz textures were corrupted by three types of distortion: intensity nonuniformity, Gaussian noise and Rician Noise. Three types of normalizations were tested: min- max, 1–99% and $+/-3sigma$.","PeriodicalId":265587,"journal":{"name":"2018 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134112773","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.23919/SPA.2018.8563407
J. Fiolka
The Teager energy operator (TEO) has been used in various areas, including speech analysis, image processing, machinery fault diagnostics and biomedical engineering. The operator provides a simple and efficient solution to the problem of estimating the instantaneous frequency and envelope of amplitude and frequency-modulated (AM-FM) signals. Furthermore, this method is easy to implement and has a low computational complexity. In the paper, the author proposes using TEO in an automotive application to perform preliminary investigations of the in-cylinder pressure signal. Research in this area is important because it determines fuel consumption, engine durability as well as the emission of air pollutants. Detecting abnormal combustion in spark-ignition (SI) engines is possible by measuring and analysing the engine block vibrations, the ionisation current and the in-cylinder pressure. However, the fundamental variable that provides an in-depth insight into the combustion process is the pressure signal. By analysing the signal, a detailed study of the knock phenomenon can be performed, which is necessary to develop a reliable and efficient knock detection method. By applying the proposed technique, we are able to identify the basic parameters of the pressure trace, such as the starting frequency and the rate of frequency change. By knowing the value of the parameters for various engine operating conditions, the performance of a knock detection system can be improved.
{"title":"Preliminary investigation of the in-cylinder pressure signal using Teager energy operator","authors":"J. Fiolka","doi":"10.23919/SPA.2018.8563407","DOIUrl":"https://doi.org/10.23919/SPA.2018.8563407","url":null,"abstract":"The Teager energy operator (TEO) has been used in various areas, including speech analysis, image processing, machinery fault diagnostics and biomedical engineering. The operator provides a simple and efficient solution to the problem of estimating the instantaneous frequency and envelope of amplitude and frequency-modulated (AM-FM) signals. Furthermore, this method is easy to implement and has a low computational complexity. In the paper, the author proposes using TEO in an automotive application to perform preliminary investigations of the in-cylinder pressure signal. Research in this area is important because it determines fuel consumption, engine durability as well as the emission of air pollutants. Detecting abnormal combustion in spark-ignition (SI) engines is possible by measuring and analysing the engine block vibrations, the ionisation current and the in-cylinder pressure. However, the fundamental variable that provides an in-depth insight into the combustion process is the pressure signal. By analysing the signal, a detailed study of the knock phenomenon can be performed, which is necessary to develop a reliable and efficient knock detection method. By applying the proposed technique, we are able to identify the basic parameters of the pressure trace, such as the starting frequency and the rate of frequency change. By knowing the value of the parameters for various engine operating conditions, the performance of a knock detection system can be improved.","PeriodicalId":265587,"journal":{"name":"2018 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122462863","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.23919/SPA.2018.8563293
B. Thai, Anissa Zergaïnoh-Mokraoui, Basarab Matei
This paper proposes a Tone Mapping (TM) approach converting a High Dynamic Range (HDR) image into a Low Dynamic Range (LDR) image while preserving as much information of the HDR image as possible to ensure a good LDR image visual quality. This approach is based on a separable near optimal lifting scheme using an adaptive powerful prediction step. The latter relies on a linear weighted combination depending on the neighboring coefficients extracting then the relevant finest details in the HDR image at each resolution level. Moreover the approximation and detail coefficients are modified according to the entropy of each subband. The pixel's distribution of the coarse reconstructed LDR image is then adjusted according to a perceptual quantizer with respect to the human visual system using a piecewise linear function. Simulation results provide good results, both in terms of visual quality and TMQI metric, compared to existing competitive TM approaches.
{"title":"HDR Image Tone Mapping Approach based on Near Optimal Separable Adaptive Lifting Scheme","authors":"B. Thai, Anissa Zergaïnoh-Mokraoui, Basarab Matei","doi":"10.23919/SPA.2018.8563293","DOIUrl":"https://doi.org/10.23919/SPA.2018.8563293","url":null,"abstract":"This paper proposes a Tone Mapping (TM) approach converting a High Dynamic Range (HDR) image into a Low Dynamic Range (LDR) image while preserving as much information of the HDR image as possible to ensure a good LDR image visual quality. This approach is based on a separable near optimal lifting scheme using an adaptive powerful prediction step. The latter relies on a linear weighted combination depending on the neighboring coefficients extracting then the relevant finest details in the HDR image at each resolution level. Moreover the approximation and detail coefficients are modified according to the entropy of each subband. The pixel's distribution of the coarse reconstructed LDR image is then adjusted according to a perceptual quantizer with respect to the human visual system using a piecewise linear function. Simulation results provide good results, both in terms of visual quality and TMQI metric, compared to existing competitive TM approaches.","PeriodicalId":265587,"journal":{"name":"2018 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122644800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.23919/SPA.2018.8563416
P. Pawlowski, A. Pawlikowski, R. Dlugosz, A. Dabrowski
The paper reports comprehensive laboratory tests of a mixed analog-digital, application specific integrated circuit (ASIC). The realized chip is a programmable device. It contains such components as an operational amplifier, a sample-and-hold (S&H) element, programmable array of capacitors, multiphase clock generator and a programmable switched capacitor (SC) delay line. All these blocks may be used separately or may be coupled together into a finite impulse response (FIR) filter, with reconfigurable frequency response. Since the filter coefficients may be either positive or negative, therefore both lowpass or highpass frequency responses may be obtained. The chip has been designed in the AMS CMOS $0.35 mu mathbf{m}$ technology and occupies the area of 0.5 mm2. It was designed for educational purposes. Programming and testing of the chip was made with the computer-controlled interface prepared in the National Instruments LabVIEW environment. The presented solutions allow for conducting of various laboratory exercises.
本文报道了一种模数混合专用集成电路(ASIC)的综合实验室测试。所实现的芯片是一个可编程器件。它包含运算放大器、采样保持元件、可编程电容器阵列、多相时钟发生器和可编程开关电容器(SC)延迟线等组件。所有这些模块可以单独使用，也可以耦合在一起形成一个有限脉冲响应(FIR)滤波器，具有可重构的频率响应。由于滤波器系数可以是正的，也可以是负的，因此可以得到低通或高通频率响应。该芯片采用AMS CMOS $0.35 mu mathbf{m}$工艺设计，占地面积0.5 mm2。它是为教育目的而设计的。在美国国家仪器公司LabVIEW环境下编写微机控制界面，对芯片进行编程和测试。提出的解决方案允许进行各种实验室练习。
{"title":"Programmable, switched-capacitor finite impulse response filter realized in CMOS technology for education purposes","authors":"P. Pawlowski, A. Pawlikowski, R. Dlugosz, A. Dabrowski","doi":"10.23919/SPA.2018.8563416","DOIUrl":"https://doi.org/10.23919/SPA.2018.8563416","url":null,"abstract":"The paper reports comprehensive laboratory tests of a mixed analog-digital, application specific integrated circuit (ASIC). The realized chip is a programmable device. It contains such components as an operational amplifier, a sample-and-hold (S&H) element, programmable array of capacitors, multiphase clock generator and a programmable switched capacitor (SC) delay line. All these blocks may be used separately or may be coupled together into a finite impulse response (FIR) filter, with reconfigurable frequency response. Since the filter coefficients may be either positive or negative, therefore both lowpass or highpass frequency responses may be obtained. The chip has been designed in the AMS CMOS $0.35 mu mathbf{m}$ technology and occupies the area of 0.5 mm2. It was designed for educational purposes. Programming and testing of the chip was made with the computer-controlled interface prepared in the National Instruments LabVIEW environment. The presented solutions allow for conducting of various laboratory exercises.","PeriodicalId":265587,"journal":{"name":"2018 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125055944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.23919/SPA.2018.8563273
Z. Kidoń, J. Fiolka
Posturography is a non-invasive diagnostic method that is used to assess an individual's ability to maintain balance. The main types of posturography are static, dynamic and follow-up posturography. During a follow-up posturography examination, a patient stands on a force platform that is equipped with a monitor. The individual is supposed to balance the body in such a way that the Center of Pressure (CoP) point (presented on a computer screen) coincides with the circle trajectory of a moving visual stimulus. The response to such stimulation provides valuable information about the ability of an individual to maintain their balance. The paper proposes a method, which is based on a Fourier analysis of complex-valued data, that is used to parameterise the posturographic trajectory that is obtained during a follow-up examination. The usefulness of the presented postural stability measures was confirmed by tests that were performed in a group of 30 individuals.
{"title":"Evaluation postural stability using complex-valued data Fourier analysis of the follow-up posturographic trajectories","authors":"Z. Kidoń, J. Fiolka","doi":"10.23919/SPA.2018.8563273","DOIUrl":"https://doi.org/10.23919/SPA.2018.8563273","url":null,"abstract":"Posturography is a non-invasive diagnostic method that is used to assess an individual's ability to maintain balance. The main types of posturography are static, dynamic and follow-up posturography. During a follow-up posturography examination, a patient stands on a force platform that is equipped with a monitor. The individual is supposed to balance the body in such a way that the Center of Pressure (CoP) point (presented on a computer screen) coincides with the circle trajectory of a moving visual stimulus. The response to such stimulation provides valuable information about the ability of an individual to maintain their balance. The paper proposes a method, which is based on a Fourier analysis of complex-valued data, that is used to parameterise the posturographic trajectory that is obtained during a follow-up examination. The usefulness of the presented postural stability measures was confirmed by tests that were performed in a group of 30 individuals.","PeriodicalId":265587,"journal":{"name":"2018 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127506813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.23919/SPA.2018.8563414
Maxim Vashkevich, E. Azarov, A. Petrovsky, Y. Rushkevich
The paper presents a features for detection of pathological changes in acoustic speech signal for the diagnosis of the bulbar form of Amyotrophic Lateral Sclerosis (ALS). We collected records of the running speech test from 48 people, 26 with ALS. The proposed features are based on joint analysis of different vowels. Harmonic structure of the vowels are also taken into consideration. We also presenting the rationale of vowels selection for calculation of the proposed features. Applying this features to classification task using linear discriminant analysis (LDA) lead to overall correct classification performance of 88.0%.
{"title":"Features extraction for the automatic detection of ALS disease from acoustic speech signals","authors":"Maxim Vashkevich, E. Azarov, A. Petrovsky, Y. Rushkevich","doi":"10.23919/SPA.2018.8563414","DOIUrl":"https://doi.org/10.23919/SPA.2018.8563414","url":null,"abstract":"The paper presents a features for detection of pathological changes in acoustic speech signal for the diagnosis of the bulbar form of Amyotrophic Lateral Sclerosis (ALS). We collected records of the running speech test from 48 people, 26 with ALS. The proposed features are based on joint analysis of different vowels. Harmonic structure of the vowels are also taken into consideration. We also presenting the rationale of vowels selection for calculation of the proposed features. Applying this features to classification task using linear discriminant analysis (LDA) lead to overall correct classification performance of 88.0%.","PeriodicalId":265587,"journal":{"name":"2018 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121927628","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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