Dan Zhang, Yijun Wang, A. Maye, A. Engel, Xiaorong Gao, Bo Hong, Shangkai Gao
The amplitude of steady-state evoked potentials (SSEP) can be modulated by switching spatial attention within one modality. In this article, we show that switching attention between different sensory modalities also modulates SSEP amplitude. This could be used to combine classifications in each modality into a multi-modal brain-computer interface (BCI) system. We present the result of combining visual and tactile stimulation. Our investigation also revealed an attention-related power change of the mu-rhythm. Taking this as an additional feature into account results in a three-class BCI system with the same accuracy like an SSSEP-based system with only two classes
{"title":"A Brain-Computer Interface Based on Multi-Modal Attention","authors":"Dan Zhang, Yijun Wang, A. Maye, A. Engel, Xiaorong Gao, Bo Hong, Shangkai Gao","doi":"10.1109/CNE.2007.369697","DOIUrl":"https://doi.org/10.1109/CNE.2007.369697","url":null,"abstract":"The amplitude of steady-state evoked potentials (SSEP) can be modulated by switching spatial attention within one modality. In this article, we show that switching attention between different sensory modalities also modulates SSEP amplitude. This could be used to combine classifications in each modality into a multi-modal brain-computer interface (BCI) system. We present the result of combining visual and tactile stimulation. Our investigation also revealed an attention-related power change of the mu-rhythm. Taking this as an additional feature into account results in a three-class BCI system with the same accuracy like an SSSEP-based system with only two classes","PeriodicalId":427054,"journal":{"name":"2007 3rd International IEEE/EMBS Conference on Neural Engineering","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124165607","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}
In this article a new recognition system for hand gestures developed for the purpose of controlling active hand prosthesis is presented. The recognition system allows for the measurement and classification of muscle contractions around the lower arm. The system associates muscle contractions to corresponding finger grips of an electrically controlled prosthesis. Thus, a user can control a hand prosthesis by contracting the muscles of his arm through making hand gestures. This contribution describes the setup of the system and a first analysis of the stability and precision for recognizing and differentiating discrete hand gestures.
{"title":"Intelligent recognition system for hand gestures","authors":"Y. Honda, S. Weber, T. Lueth","doi":"10.1109/CNE.2007.369746","DOIUrl":"https://doi.org/10.1109/CNE.2007.369746","url":null,"abstract":"In this article a new recognition system for hand gestures developed for the purpose of controlling active hand prosthesis is presented. The recognition system allows for the measurement and classification of muscle contractions around the lower arm. The system associates muscle contractions to corresponding finger grips of an electrically controlled prosthesis. Thus, a user can control a hand prosthesis by contracting the muscles of his arm through making hand gestures. This contribution describes the setup of the system and a first analysis of the stability and precision for recognizing and differentiating discrete hand gestures.","PeriodicalId":427054,"journal":{"name":"2007 3rd International IEEE/EMBS Conference on Neural Engineering","volume":"160 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116266092","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}
S. Marceglia, A. Bianchi, S. Mrakic-Sposta, G. Foffani, A. Priori, S. Cerutti
The human brain substantially differs between males and females. A recent study demonstrated the existence of significant gender-related differences in the electrical activity (local field potentials, LFPs) recorded from the human subthalamic area in Parkinson's disease. However, these results do not clarify whether these differences are reflected also in the neural network architecture and in the information processing at the basal ganglia level. In this work, we sought for possible gender-related differences in non-linear phase synchronizations between LFP rhythms by means of bispectral analysis. Bispectral analysis of LFP disclosed significant gender-related differences in the non-linear phase synchronizations between rhythms. Our results showed that, besides the already known differences in spectral power of rhythms expressed in the STN area in PD, also the non-linear phase synchronizations between those rhythms differ across genders. In particular, in the absence of levodopa stimulation, males had higher synchronization within the low-frequency band, whereas the pattern of synchronizations between and within the other rhythms was similar. After dopaminergic therapy had restored more physiological dopamine levels, the non-linear phase coupling phenomena were similar between the two genders. Gender-related differences in the phenomenology of PD as well as in LFPs cannot be explained only in terms of modulation of rhythm amplitude. In conclusion, sexual-dimorphism in the central nervous system involves the human STN, not only in terms of amplitude of the oscillatory, but also in terms of nonlinear phase synchronizations among rhythms
{"title":"Gender-related differences in non-linear phase synchronizations between subthalamic rhythms in Parkinson's disease","authors":"S. Marceglia, A. Bianchi, S. Mrakic-Sposta, G. Foffani, A. Priori, S. Cerutti","doi":"10.1109/CNE.2007.369724","DOIUrl":"https://doi.org/10.1109/CNE.2007.369724","url":null,"abstract":"The human brain substantially differs between males and females. A recent study demonstrated the existence of significant gender-related differences in the electrical activity (local field potentials, LFPs) recorded from the human subthalamic area in Parkinson's disease. However, these results do not clarify whether these differences are reflected also in the neural network architecture and in the information processing at the basal ganglia level. In this work, we sought for possible gender-related differences in non-linear phase synchronizations between LFP rhythms by means of bispectral analysis. Bispectral analysis of LFP disclosed significant gender-related differences in the non-linear phase synchronizations between rhythms. Our results showed that, besides the already known differences in spectral power of rhythms expressed in the STN area in PD, also the non-linear phase synchronizations between those rhythms differ across genders. In particular, in the absence of levodopa stimulation, males had higher synchronization within the low-frequency band, whereas the pattern of synchronizations between and within the other rhythms was similar. After dopaminergic therapy had restored more physiological dopamine levels, the non-linear phase coupling phenomena were similar between the two genders. Gender-related differences in the phenomenology of PD as well as in LFPs cannot be explained only in terms of modulation of rhythm amplitude. In conclusion, sexual-dimorphism in the central nervous system involves the human STN, not only in terms of amplitude of the oscillatory, but also in terms of nonlinear phase synchronizations among rhythms","PeriodicalId":427054,"journal":{"name":"2007 3rd International IEEE/EMBS Conference on Neural Engineering","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115982945","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}
Z. Hu, P. Troyk, T. P. Brawn, D. Margoliash, S. Cogan
Activated iridium oxide film (AIROF) microelectrodes have high charge delivery capacity within polarization limits that don't initiate water electrolysis at the electrode/electrolyte interface. These limits, the so-called "water window," are used to ensure that the AIROF electrodes can deliver charge reversibly in various electrolyte environments. However, strictly observing these limits may uncomfortably reduce the charge delivery capacity of AIROF microelectrodes in vivo. This paper compares the constituents of electrode polarization during in vitro and in vivo current pulsing. It shows that capacitive-like polarization is the main component of the measured electrode polarization in vitro within buffered physiological saline. In vivo, in addition to a larger ohmic polarization, a secondary electrode polarization is observed. Presently we are examining the difference between in vivo and in vitro polarization responses in an effort to optimize the iridium activation process, in order to achieve the most charge delivery with the least electrode polarization for AIROF microelectrodes.
{"title":"Polarization of AIROF Microelectrodes in Charge Delivery","authors":"Z. Hu, P. Troyk, T. P. Brawn, D. Margoliash, S. Cogan","doi":"10.1109/CNE.2007.369630","DOIUrl":"https://doi.org/10.1109/CNE.2007.369630","url":null,"abstract":"Activated iridium oxide film (AIROF) microelectrodes have high charge delivery capacity within polarization limits that don't initiate water electrolysis at the electrode/electrolyte interface. These limits, the so-called \"water window,\" are used to ensure that the AIROF electrodes can deliver charge reversibly in various electrolyte environments. However, strictly observing these limits may uncomfortably reduce the charge delivery capacity of AIROF microelectrodes in vivo. This paper compares the constituents of electrode polarization during in vitro and in vivo current pulsing. It shows that capacitive-like polarization is the main component of the measured electrode polarization in vitro within buffered physiological saline. In vivo, in addition to a larger ohmic polarization, a secondary electrode polarization is observed. Presently we are examining the difference between in vivo and in vitro polarization responses in an effort to optimize the iridium activation process, in order to achieve the most charge delivery with the least electrode polarization for AIROF microelectrodes.","PeriodicalId":427054,"journal":{"name":"2007 3rd International IEEE/EMBS Conference on Neural Engineering","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132045242","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}
T. Constandinou, J. Georgiou, C. Doumanidis, C. Toumazou
Restoring the sensation of inertia in individuals with balance-related impairments is achievable through development of an artificial vestibular prosthesis, based on the cochlear implant paradigm. The vestibular system, however, involves added complexity in surgical methods required for reliable implantation, thus limiting widespread feasibility. This work aims to support research in developing surgical technology for precisely accessing inside the vestibular organ. Issues relating to surgical procedure, microrobotics and medical imaging are discussed, with the goal being the precise and safe implantation of microelectrode arrays. This paper presents the challenges modern surgical technology would encounter in adopting such a procedure and proposes possible solutions, aiming to promote and motivate research in this direction.
{"title":"Towards an Implantable Vestibular Prosthesis: The Surgical Challenges","authors":"T. Constandinou, J. Georgiou, C. Doumanidis, C. Toumazou","doi":"10.1109/CNE.2007.369606","DOIUrl":"https://doi.org/10.1109/CNE.2007.369606","url":null,"abstract":"Restoring the sensation of inertia in individuals with balance-related impairments is achievable through development of an artificial vestibular prosthesis, based on the cochlear implant paradigm. The vestibular system, however, involves added complexity in surgical methods required for reliable implantation, thus limiting widespread feasibility. This work aims to support research in developing surgical technology for precisely accessing inside the vestibular organ. Issues relating to surgical procedure, microrobotics and medical imaging are discussed, with the goal being the precise and safe implantation of microelectrode arrays. This paper presents the challenges modern surgical technology would encounter in adopting such a procedure and proposes possible solutions, aiming to promote and motivate research in this direction.","PeriodicalId":427054,"journal":{"name":"2007 3rd International IEEE/EMBS Conference on Neural Engineering","volume":"1063 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132226009","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}
J. Nadeau, C. Hollmann, R. M. Khatchadourian, S. Clarke
Visual monitoring of membrane potential would be extremely useful for monitoring cell health and activity in any cultured neuron system. On long time scales, cell health in response to depolarization and/or hyperpolarization would be able to be quantified. If the reporter has sufficient time resolution, action potentials may be resolved, thus allowing for optical recordings from ensembles of neurons without growing cultures on multielectrode arrays. However, the creation of such probes is extremely challenging. Here we present preliminary results for two genetically-encoded systems: one based upon fluorescence resonance energy transfer (FRET) between nanoparticles and an engineered channel, and the second based upon fluorescence complementation (FC). The results suggest that chronic monitoring of neuronal potential is possible with these probes, at least on the scale of hundreds of milliseconds.
{"title":"Nanoparticles and modified fluorescent proteins for imaging of transmembrane potential","authors":"J. Nadeau, C. Hollmann, R. M. Khatchadourian, S. Clarke","doi":"10.1109/CNE.2007.369614","DOIUrl":"https://doi.org/10.1109/CNE.2007.369614","url":null,"abstract":"Visual monitoring of membrane potential would be extremely useful for monitoring cell health and activity in any cultured neuron system. On long time scales, cell health in response to depolarization and/or hyperpolarization would be able to be quantified. If the reporter has sufficient time resolution, action potentials may be resolved, thus allowing for optical recordings from ensembles of neurons without growing cultures on multielectrode arrays. However, the creation of such probes is extremely challenging. Here we present preliminary results for two genetically-encoded systems: one based upon fluorescence resonance energy transfer (FRET) between nanoparticles and an engineered channel, and the second based upon fluorescence complementation (FC). The results suggest that chronic monitoring of neuronal potential is possible with these probes, at least on the scale of hundreds of milliseconds.","PeriodicalId":427054,"journal":{"name":"2007 3rd International IEEE/EMBS Conference on Neural Engineering","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134395691","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}
A new model is presented for the central pattern generation mechanism based on the integrate-and-fire (IF) model and the neuronal synaptic transfer function. Unlike the existing models which either use complex nonlinear equations or totally ignore the spike (action potential) generation mechanism of a real neuron, the new model presents a more realistic form of the CPG and its neuronal interactions. The most important feature of this model is that it converts the CPG to a linear network for further analysis despite the fact that the IF model is a nonlinear system. This particularly allows us to use well-known feedback theories to obtain the condition and frequency of oscillation in the burst activity of a CPG.
{"title":"Linear Analysis of the Central Pattern Generation Mechanism","authors":"S. Seydnejad","doi":"10.1109/CNE.2007.369713","DOIUrl":"https://doi.org/10.1109/CNE.2007.369713","url":null,"abstract":"A new model is presented for the central pattern generation mechanism based on the integrate-and-fire (IF) model and the neuronal synaptic transfer function. Unlike the existing models which either use complex nonlinear equations or totally ignore the spike (action potential) generation mechanism of a real neuron, the new model presents a more realistic form of the CPG and its neuronal interactions. The most important feature of this model is that it converts the CPG to a linear network for further analysis despite the fact that the IF model is a nonlinear system. This particularly allows us to use well-known feedback theories to obtain the condition and frequency of oscillation in the burst activity of a CPG.","PeriodicalId":427054,"journal":{"name":"2007 3rd International IEEE/EMBS Conference on Neural Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129367347","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}
We present a new image-based interface for using electroencephalographic signals (EEG) to control a humanoid robot. In order to make maximal use of a low-bandwidth brain computer interface (BCI), we use a humanoid robot that has sophisticated capabilities such as navigating to different locations in its environment and interacting with objects. The robot communicates with the BCI by sending images of discovered locations and objects as candidates for interaction. The BCI uses these candidates and exploits the P300 response for detecting the user's selection. We describe the design of the interface, and present results from a 9-user study that characterizes the performance, generalization and training needs of the BCI. Our results indicate that a 4-class selection can be performed in 5 seconds with as low as 5% error. Further, a short training period of 3-4min provides near-optimal accuracy.
{"title":"An Image-based Brain-Computer Interface Using the P3 Response","authors":"C. Bell, P. Shenoy, R. Chalodhorn, R. Rao","doi":"10.1109/CNE.2007.369675","DOIUrl":"https://doi.org/10.1109/CNE.2007.369675","url":null,"abstract":"We present a new image-based interface for using electroencephalographic signals (EEG) to control a humanoid robot. In order to make maximal use of a low-bandwidth brain computer interface (BCI), we use a humanoid robot that has sophisticated capabilities such as navigating to different locations in its environment and interacting with objects. The robot communicates with the BCI by sending images of discovered locations and objects as candidates for interaction. The BCI uses these candidates and exploits the P300 response for detecting the user's selection. We describe the design of the interface, and present results from a 9-user study that characterizes the performance, generalization and training needs of the BCI. Our results indicate that a 4-class selection can be performed in 5 seconds with as low as 5% error. Further, a short training period of 3-4min provides near-optimal accuracy.","PeriodicalId":427054,"journal":{"name":"2007 3rd International IEEE/EMBS Conference on Neural Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131152822","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}
A low-power integrated circuit for real-time wireless monitoring of neurochemical activity in the central nervous system is described. The chip is capable of conducting high-resolution amperometric measurements in four input-current settings. The chip architecture includes a current-based, first-order, sigma-delta analog-to-digital converter (LA ADC) and a frequency-shift-keyed (FSK) voltage-controlled oscillator (VCO) operating near 433MHz. It is fabricated using the AMI 0.5mum double-poly triple-metal n-well CMOS process, and requires only one off-chip component for operation. In a truly wireless fashion, measured dc current resolutions of 250fA, ~1.5pA, ~4.5pA and ~17pA were achieved for input currents in the range of plusmn5nA, plusmn 37nA, plusmn 150nA and plusmn 600nA, respectively, at a decimated sampling rate of 100Hz for all ranges. The ADC core and the VCO consume 21.7muA and 400muA from a 2.6-V power supply, respectively.
{"title":"Wireless Amperometric Neurochemical Monitoring Using an Integrated FSK Telemetry Circuit","authors":"M. Roham, P. Mohseni","doi":"10.1109/CNE.2007.369636","DOIUrl":"https://doi.org/10.1109/CNE.2007.369636","url":null,"abstract":"A low-power integrated circuit for real-time wireless monitoring of neurochemical activity in the central nervous system is described. The chip is capable of conducting high-resolution amperometric measurements in four input-current settings. The chip architecture includes a current-based, first-order, sigma-delta analog-to-digital converter (LA ADC) and a frequency-shift-keyed (FSK) voltage-controlled oscillator (VCO) operating near 433MHz. It is fabricated using the AMI 0.5mum double-poly triple-metal n-well CMOS process, and requires only one off-chip component for operation. In a truly wireless fashion, measured dc current resolutions of 250fA, ~1.5pA, ~4.5pA and ~17pA were achieved for input currents in the range of plusmn5nA, plusmn 37nA, plusmn 150nA and plusmn 600nA, respectively, at a decimated sampling rate of 100Hz for all ranges. The ADC core and the VCO consume 21.7muA and 400muA from a 2.6-V power supply, respectively.","PeriodicalId":427054,"journal":{"name":"2007 3rd International IEEE/EMBS Conference on Neural Engineering","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133630321","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}
Surface electromyography (SEMG) has been used for muscle function examination in neuromuscular disorders. The utility of SEMG in low back pain (LBP) assessment was questioned because of low sensitivity. Artifacts and noise contamination may distort the SEMG measurement in LBP assessment. The purposes of this study were to develop an ICA-based ECG removal method to obtain clean SEMG signal from back muscles, and to demonstrate the relative effect of ECG on back muscles SEMG parameters and their sensitivity on low back pain (LBP) assessment. This study compared surface EMG measurements on paraspinal muscles from 10 normal and 10 LBP patients during sitting and standing. The raw SEMG signal was processed by independent component analysis (ICA) to remove the ECG contamination. Then, median frequency (MF) of both raw and denoised paraspinal SEMG were calculated respectively. The MF of healthy and LBP groups before and after ECG removal were compared separately to evaluate the effect of ECG contamination. Also, difference between MF in subject with and without LBP were compared in raw and denoise condition to study the ECG effect on LBP assessment sensitivity. Significant MF increases (p<0.05) were founded after ECG noise removal in all tests. For LBP assessment, improvements in discriminative ability, in terms of parametric difference, were seen in MF parameter during sitting (mean difference between normal and patient increase from: Left: 8 to 45Hz; Right 11 to 53Hz) and standing (mean difference between normal and patient increase from: Left: -10 to 6Hz; Right 8 to 14Hz) respectively. ECG contaminations showed significantly influence on SEMG measurements in both normal and LBP patients. Our study has demonstrated the ability of the proposed ICA-based technique in ECG removal, which leads to an improvement in LBP assessment sensitivity
{"title":"ICA-based ECG removal from Surface Electromyography and its effect on Low Back Pain Assessment","authors":"Jnf Mak, Yong Hu, K. Luk","doi":"10.1109/CNE.2007.369756","DOIUrl":"https://doi.org/10.1109/CNE.2007.369756","url":null,"abstract":"Surface electromyography (SEMG) has been used for muscle function examination in neuromuscular disorders. The utility of SEMG in low back pain (LBP) assessment was questioned because of low sensitivity. Artifacts and noise contamination may distort the SEMG measurement in LBP assessment. The purposes of this study were to develop an ICA-based ECG removal method to obtain clean SEMG signal from back muscles, and to demonstrate the relative effect of ECG on back muscles SEMG parameters and their sensitivity on low back pain (LBP) assessment. This study compared surface EMG measurements on paraspinal muscles from 10 normal and 10 LBP patients during sitting and standing. The raw SEMG signal was processed by independent component analysis (ICA) to remove the ECG contamination. Then, median frequency (MF) of both raw and denoised paraspinal SEMG were calculated respectively. The MF of healthy and LBP groups before and after ECG removal were compared separately to evaluate the effect of ECG contamination. Also, difference between MF in subject with and without LBP were compared in raw and denoise condition to study the ECG effect on LBP assessment sensitivity. Significant MF increases (p<0.05) were founded after ECG noise removal in all tests. For LBP assessment, improvements in discriminative ability, in terms of parametric difference, were seen in MF parameter during sitting (mean difference between normal and patient increase from: Left: 8 to 45Hz; Right 11 to 53Hz) and standing (mean difference between normal and patient increase from: Left: -10 to 6Hz; Right 8 to 14Hz) respectively. ECG contaminations showed significantly influence on SEMG measurements in both normal and LBP patients. Our study has demonstrated the ability of the proposed ICA-based technique in ECG removal, which leads to an improvement in LBP assessment sensitivity","PeriodicalId":427054,"journal":{"name":"2007 3rd International IEEE/EMBS Conference on Neural Engineering","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127849251","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}