Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference最新文献
Pub Date : 2016-01-01DOI: 10.1109/EMBC.2016.7591122
S. Okamoto
In this study, we analyzed the swing motions of more experienced practitioner and new practitioner of iaido players by using tri-axial acceleration sensor and gyro sensor. Iaido is a modern Japanese martial art/sport. In this way, the acceleration and gyro sensor measurement enabled detailed motion information at the installation points to be displayed in a short time, thus making it possible to easily extract the objective problems. Although it was not possible to confirm by the acceleration and angular velocity measurements the detailed motion of the entire body as obtained in the 2D motion analysis with a high-speed camera, it was confirmed that the acceleration and gyro sensor is an evaluation means that can be installed easily and can provide the exercise information in a short time as an objective index.
{"title":"Evaluation of skills in swing technique in classical Japanese swordsmanship using sensors.","authors":"S. Okamoto","doi":"10.1109/EMBC.2016.7591122","DOIUrl":"https://doi.org/10.1109/EMBC.2016.7591122","url":null,"abstract":"In this study, we analyzed the swing motions of more experienced practitioner and new practitioner of iaido players by using tri-axial acceleration sensor and gyro sensor. Iaido is a modern Japanese martial art/sport. In this way, the acceleration and gyro sensor measurement enabled detailed motion information at the installation points to be displayed in a short time, thus making it possible to easily extract the objective problems. Although it was not possible to confirm by the acceleration and angular velocity measurements the detailed motion of the entire body as obtained in the 2D motion analysis with a high-speed camera, it was confirmed that the acceleration and gyro sensor is an evaluation means that can be installed easily and can provide the exercise information in a short time as an objective index.","PeriodicalId":72689,"journal":{"name":"Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference","volume":"102 1","pages":"2018-2021"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76895946","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 : 2016-01-01DOI: 10.1109/EMBC.2016.7591077
Nantia D. Iakovidou, Manolis Christodoulakis, E. Papathanasiou, S. Papacostas, G. Mitsis
The human brain has been called the most complex object in the known universe and in many ways it constitutes the final frontier of science. Lately, the functional connectivity in human brain has been regarded and studied as a complex network using electroencephalography (EEG) signals. This means that the brain is studied as a connected system, where nodes represent different specialized brain regions and links or connections, represent communication pathways between the nodes. It is also fairly established that graph theory provides a variety of measures, methods and tools that can be useful to efficiently model, analyze and study an EEG network. In this article we study weighted and fully-connected brain networks, created from long-recorded EEG measurements that concern patients with focal and generalized epilepsy. We focus on the use of the well-known eigenvector centrality measure, which shows the influence of a node in a network and also constitutes the basis of the famous Google's PageRank algorithm. Our novel methodology reveals brain regions that might play a significant role before the occurrence of each epileptic seizure and also brain areas that might constitute the seed of the abnormal electrical activity that the human brain presents during epileptic seizures. Finally, we present and discuss the results and conclusions of our methodology, which demonstrates a standard EEG behavior in particular phases of the recording period.
{"title":"Identifying important regions in EEG epilepsy brain networks.","authors":"Nantia D. Iakovidou, Manolis Christodoulakis, E. Papathanasiou, S. Papacostas, G. Mitsis","doi":"10.1109/EMBC.2016.7591077","DOIUrl":"https://doi.org/10.1109/EMBC.2016.7591077","url":null,"abstract":"The human brain has been called the most complex object in the known universe and in many ways it constitutes the final frontier of science. Lately, the functional connectivity in human brain has been regarded and studied as a complex network using electroencephalography (EEG) signals. This means that the brain is studied as a connected system, where nodes represent different specialized brain regions and links or connections, represent communication pathways between the nodes. It is also fairly established that graph theory provides a variety of measures, methods and tools that can be useful to efficiently model, analyze and study an EEG network. In this article we study weighted and fully-connected brain networks, created from long-recorded EEG measurements that concern patients with focal and generalized epilepsy. We focus on the use of the well-known eigenvector centrality measure, which shows the influence of a node in a network and also constitutes the basis of the famous Google's PageRank algorithm. Our novel methodology reveals brain regions that might play a significant role before the occurrence of each epileptic seizure and also brain areas that might constitute the seed of the abnormal electrical activity that the human brain presents during epileptic seizures. Finally, we present and discuss the results and conclusions of our methodology, which demonstrates a standard EEG behavior in particular phases of the recording period.","PeriodicalId":72689,"journal":{"name":"Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference","volume":"94 1","pages":"1838-1841"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83917692","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 : 2016-01-01DOI: 10.1109/EMBC.2016.7591033
Fadi Mikhail, K. Balasubramanian, Matthew D. Best, Kazutaka Takahashi, N. Hatsopoulos
Understanding the functional properties of the motor cortex is a key step to developing effective neuroprosthetic and computer interfaces for amputees and patients with spinal cord injury. Most efforts have been directed towards studying the upper limb region of the motor cortex. Little has been done in the way of addressing lower limb motor cortical physiology. In this study, we implanted multiple microelectrode arrays along the central sulcus in the primary motor cortex of a macaque monkey. Using intracortical microstimulation, we identified neurons that evoked leg movements, either exclusively or mostly, and we studied their firing activity during a center-out arm movement task. We found that some of these neurons modulated their firing rate during arm movement. Surprisingly, we found that some of these neurons even had selective tuning to the direction of arm movement. We built a decoding model which was able to predict the direction of arm movement based on putative leg motor cortical firing activity significantly better than chance. These findings have interesting and surprising implications for understanding motor cortical physiology.
{"title":"Characterization of motor cortex activity of the lower limb region.","authors":"Fadi Mikhail, K. Balasubramanian, Matthew D. Best, Kazutaka Takahashi, N. Hatsopoulos","doi":"10.1109/EMBC.2016.7591033","DOIUrl":"https://doi.org/10.1109/EMBC.2016.7591033","url":null,"abstract":"Understanding the functional properties of the motor cortex is a key step to developing effective neuroprosthetic and computer interfaces for amputees and patients with spinal cord injury. Most efforts have been directed towards studying the upper limb region of the motor cortex. Little has been done in the way of addressing lower limb motor cortical physiology. In this study, we implanted multiple microelectrode arrays along the central sulcus in the primary motor cortex of a macaque monkey. Using intracortical microstimulation, we identified neurons that evoked leg movements, either exclusively or mostly, and we studied their firing activity during a center-out arm movement task. We found that some of these neurons modulated their firing rate during arm movement. Surprisingly, we found that some of these neurons even had selective tuning to the direction of arm movement. We built a decoding model which was able to predict the direction of arm movement based on putative leg motor cortical firing activity significantly better than chance. These findings have interesting and surprising implications for understanding motor cortical physiology.","PeriodicalId":72689,"journal":{"name":"Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference","volume":"9 1","pages":"1660-1663"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89974799","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 : 2016-01-01DOI: 10.1109/EMBC.2016.7591277
D. Bender, A. Jalali, C. Nataraj
Cardiopulmonary Resuscitation (CPR) outcomes are far from optimal as practiced today, and prior work has documented that among probable reasons is the fact that the procedure remains to be fully understood. In an attempt to gain a broader understanding of the CPR physiology and the elemental principles underlying the CPR outcomes, this study proposes a novel approach. The analysis is carried out in three major steps. First, an appropriate cardiovascular system model was adopted and simulated using real CPR data as the input. Next, a function was fitted to the input data in order to obtain an input function with controllable parameters. In the last step, the parameters of the obtained input function were optimized with respect to the objective function that was constrained by the simulated cardiopulmonary values of the model. The results of this preliminary analysis illustrate that the developed framework reflects the findings of numerous studies and shows that this innovative approach can have a great impact on the CPR research field.
{"title":"Improving Cardiopulmonary Resuscitation (CPR) outcomes using model based optimization.","authors":"D. Bender, A. Jalali, C. Nataraj","doi":"10.1109/EMBC.2016.7591277","DOIUrl":"https://doi.org/10.1109/EMBC.2016.7591277","url":null,"abstract":"Cardiopulmonary Resuscitation (CPR) outcomes are far from optimal as practiced today, and prior work has documented that among probable reasons is the fact that the procedure remains to be fully understood. In an attempt to gain a broader understanding of the CPR physiology and the elemental principles underlying the CPR outcomes, this study proposes a novel approach. The analysis is carried out in three major steps. First, an appropriate cardiovascular system model was adopted and simulated using real CPR data as the input. Next, a function was fitted to the input data in order to obtain an input function with controllable parameters. In the last step, the parameters of the obtained input function were optimized with respect to the objective function that was constrained by the simulated cardiopulmonary values of the model. The results of this preliminary analysis illustrate that the developed framework reflects the findings of numerous studies and shows that this innovative approach can have a great impact on the CPR research field.","PeriodicalId":72689,"journal":{"name":"Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference","volume":"38 1","pages":"2659-2663"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91385300","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 : 2016-01-01DOI: 10.1109/EMBC.2016.7591894
Yulin Song, C. Obcemea, B. Mueller, B. Mychalczak
Frame-based stereotactic radiosurgery (SRS) has been widely used to treat functional disorders, vascular lesions, and primary benign and malignant tumors. Recently, SRS is being increasingly used to treat solitary brain metastases. However, due to its highly invasive nature, frame-based SRS is being gradually replaced by frameless SRS (fSRS). fSRS aims at improving patient comfort and achieving stable patient immobilization with non-invasive means and accurate target localization with image guidance technique. Owing to its inherent complexity and high risk, it is imperative to perform a comprehensive and rigorous end-to-end test prior to its clinical implementation. In this paper, we present our experience and results of fSRS end-to-end test with the latest EBT-XD Gafchromic film for a Varian Trilogy linear accelerator.
{"title":"Frameless stereotactic radiosurgery (fSRS) end-to-end test with EBT-XD gafchromic film.","authors":"Yulin Song, C. Obcemea, B. Mueller, B. Mychalczak","doi":"10.1109/EMBC.2016.7591894","DOIUrl":"https://doi.org/10.1109/EMBC.2016.7591894","url":null,"abstract":"Frame-based stereotactic radiosurgery (SRS) has been widely used to treat functional disorders, vascular lesions, and primary benign and malignant tumors. Recently, SRS is being increasingly used to treat solitary brain metastases. However, due to its highly invasive nature, frame-based SRS is being gradually replaced by frameless SRS (fSRS). fSRS aims at improving patient comfort and achieving stable patient immobilization with non-invasive means and accurate target localization with image guidance technique. Owing to its inherent complexity and high risk, it is imperative to perform a comprehensive and rigorous end-to-end test prior to its clinical implementation. In this paper, we present our experience and results of fSRS end-to-end test with the latest EBT-XD Gafchromic film for a Varian Trilogy linear accelerator.","PeriodicalId":72689,"journal":{"name":"Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference","volume":"43 1","pages":"5180-5183"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80177924","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 : 2016-01-01DOI: 10.1109/EMBC.2016.7591036
M. N. Anwar, R. Rehman, U. Hassan
Learning a new motor skill involves multiple cognitive aspects such as attention, planning, prioritizing, execution, and error correction. In current study, we examined whether the students opted for pure mathematics at their undergraduate level have enhanced motor skills as compared to those pursuing biological sciences at the same level of education. A total of twenty subjects participated in a visuomotor adaptation task. The results showed that the overall movement related errors in subjects with mathematics background were lower than the biosciences students (p = 0.04). On contrary the learning index of biosciences students was greater at the beginning of the task (p<0.01). The result shows that the learning a new motor skill is influenced by previous knowledge and educational background and mathematics allows human brain accepting a new motor task correctly.
{"title":"Association between visuomotor adaptation and mathematics skills.","authors":"M. N. Anwar, R. Rehman, U. Hassan","doi":"10.1109/EMBC.2016.7591036","DOIUrl":"https://doi.org/10.1109/EMBC.2016.7591036","url":null,"abstract":"Learning a new motor skill involves multiple cognitive aspects such as attention, planning, prioritizing, execution, and error correction. In current study, we examined whether the students opted for pure mathematics at their undergraduate level have enhanced motor skills as compared to those pursuing biological sciences at the same level of education. A total of twenty subjects participated in a visuomotor adaptation task. The results showed that the overall movement related errors in subjects with mathematics background were lower than the biosciences students (p = 0.04). On contrary the learning index of biosciences students was greater at the beginning of the task (p<0.01). The result shows that the learning a new motor skill is influenced by previous knowledge and educational background and mathematics allows human brain accepting a new motor task correctly.","PeriodicalId":72689,"journal":{"name":"Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference","volume":"25 1","pages":"1672-1675"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73446523","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 : 2016-01-01DOI: 10.1109/EMBC.2016.7591177
D. Fernando
A preliminary model for exploring the pathogenesis of depression that involves genetic and environmental factors is described using a system of linear differential equation. The influence of environmental factors essentially involves random life events, which are modelled using a stochastic differential equation. Different scenarios, including the trajectory of the pathogenesis of depression and immunity, are described by model simulation.
{"title":"An elementary model for exploring the pathogenesis of depression.","authors":"D. Fernando","doi":"10.1109/EMBC.2016.7591177","DOIUrl":"https://doi.org/10.1109/EMBC.2016.7591177","url":null,"abstract":"A preliminary model for exploring the pathogenesis of depression that involves genetic and environmental factors is described using a system of linear differential equation. The influence of environmental factors essentially involves random life events, which are modelled using a stochastic differential equation. Different scenarios, including the trajectory of the pathogenesis of depression and immunity, are described by model simulation.","PeriodicalId":72689,"journal":{"name":"Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference","volume":"141 1","pages":"2249-2253"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85369076","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 : 2016-01-01DOI: 10.1109/EMBC.2016.7591610
R. Lopes, P. Besson, R. Viard, C. Bournonville, C. Delmaire, X. Leclerc
Many methods exist for identifying brain networks in resting-state functional magnetic resonance imaging. During the last decade, there was a growing interest in functional connectivity using surface-based analysis. However, the advantages of this approach against volume-based analysis in a data-driven model are unclear. In this study, we propose an independent component analysis based method to extract the resting-state networks directly on the cortical surface. The components associated with the subcortical regions are identified by multiple linear regressions between the signals in subcortical voxels and independent components time courses. The accuracy and stability of our method were evaluated using resampling statistics calculated on 76 healthy male subjects and compared to those obtained with a similar volume-based approach. Seven of the most representative resting-state networks reported in previous studies were identified and used to compare both approaches. Our findings suggest that surface-based approach combined with subcortical linear regression is more sensitive and reproducible than similar volume-based approach for the extraction of resting-state networks.
{"title":"Reliability of a cortical surface-based analysis with subcortical regression in the identification of resting-state functional networks.","authors":"R. Lopes, P. Besson, R. Viard, C. Bournonville, C. Delmaire, X. Leclerc","doi":"10.1109/EMBC.2016.7591610","DOIUrl":"https://doi.org/10.1109/EMBC.2016.7591610","url":null,"abstract":"Many methods exist for identifying brain networks in resting-state functional magnetic resonance imaging. During the last decade, there was a growing interest in functional connectivity using surface-based analysis. However, the advantages of this approach against volume-based analysis in a data-driven model are unclear. In this study, we propose an independent component analysis based method to extract the resting-state networks directly on the cortical surface. The components associated with the subcortical regions are identified by multiple linear regressions between the signals in subcortical voxels and independent components time courses. The accuracy and stability of our method were evaluated using resampling statistics calculated on 76 healthy male subjects and compared to those obtained with a similar volume-based approach. Seven of the most representative resting-state networks reported in previous studies were identified and used to compare both approaches. Our findings suggest that surface-based approach combined with subcortical linear regression is more sensitive and reproducible than similar volume-based approach for the extraction of resting-state networks.","PeriodicalId":72689,"journal":{"name":"Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference","volume":"62 1","pages":"4027-4030"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84295170","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 : 2016-01-01DOI: 10.1109/EMBC.2016.7591659
Longyan Chen, Longyi Chen, Jin Zhang
A new nanostructured biosensor by applying bioluminescent quenching technique is developed for detecting small molecules, e.g. glucose, at low concentration. It demonstrates the effect of glucose on the interaction between β-cyclodextrin (β-CD) conjugated luciferase and phenylboronic acid (PBA) conjugated gold nanoparticles (Au NPs).
{"title":"Nanostructured bioluminescence quenching sensor for detecting glucose.","authors":"Longyan Chen, Longyi Chen, Jin Zhang","doi":"10.1109/EMBC.2016.7591659","DOIUrl":"https://doi.org/10.1109/EMBC.2016.7591659","url":null,"abstract":"A new nanostructured biosensor by applying bioluminescent quenching technique is developed for detecting small molecules, e.g. glucose, at low concentration. It demonstrates the effect of glucose on the interaction between β-cyclodextrin (β-CD) conjugated luciferase and phenylboronic acid (PBA) conjugated gold nanoparticles (Au NPs).","PeriodicalId":72689,"journal":{"name":"Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference","volume":"93 1","pages":"4224-4227"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74761604","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 : 2016-01-01DOI: 10.1109/EMBC.2016.7591827
Yasunobu Yamauchi, S. Fuke, Kanako Nakayama, Jun’ya Takakura, Hitoshi Usuniwa, Keiji Koike, E. Ouchi, N. Doi
Sleep apnea syndrome (SAS) is becoming a public concern in the field of preventive medicine because it causes more deleterious diseases. However, the majority of patients are not diagnosed and an easier-to-use, lower-cost device for screening of SAS is needed compared to the existing multimodal devices. In this study, we developed and tested a method to estimate the apnea-hypopnea index (AHI), which is the measure of severity of SAS, only from an accelerometer signal measured on the chest. Simultaneous recordings of overnight sleep polysomnography and accelerometer signal were conducted for 50 participants. Three prediction variables were extracted from the accelerometer signal: (i) power of vibration caused by snoring, (ii) variability of frequency of vibration caused by snoring, and (iii) the number of times of rapid changing in the amplitudes of the chest movement accompanied by breathing efforts. Multiple regression analysis was applied to estimate AHI, and the agreement between estimated AHI and true AHI was evaluated by a leave-one-out strategy. The correlation coefficient between the estimated AHI and the true AHI was 0.759, and the sensitivity and the specificity with the threshold of AHI=15 were 83.3% and 88.5%, respectively. Considering the fact that our method requires only an accelerometer to estimate AHI, it has the potential to be a cost-effective way of screening SAS patients.
{"title":"Estimating apnea-hypopnea index only from an accelerometer signal measured on the chest.","authors":"Yasunobu Yamauchi, S. Fuke, Kanako Nakayama, Jun’ya Takakura, Hitoshi Usuniwa, Keiji Koike, E. Ouchi, N. Doi","doi":"10.1109/EMBC.2016.7591827","DOIUrl":"https://doi.org/10.1109/EMBC.2016.7591827","url":null,"abstract":"Sleep apnea syndrome (SAS) is becoming a public concern in the field of preventive medicine because it causes more deleterious diseases. However, the majority of patients are not diagnosed and an easier-to-use, lower-cost device for screening of SAS is needed compared to the existing multimodal devices. In this study, we developed and tested a method to estimate the apnea-hypopnea index (AHI), which is the measure of severity of SAS, only from an accelerometer signal measured on the chest. Simultaneous recordings of overnight sleep polysomnography and accelerometer signal were conducted for 50 participants. Three prediction variables were extracted from the accelerometer signal: (i) power of vibration caused by snoring, (ii) variability of frequency of vibration caused by snoring, and (iii) the number of times of rapid changing in the amplitudes of the chest movement accompanied by breathing efforts. Multiple regression analysis was applied to estimate AHI, and the agreement between estimated AHI and true AHI was evaluated by a leave-one-out strategy. The correlation coefficient between the estimated AHI and the true AHI was 0.759, and the sensitivity and the specificity with the threshold of AHI=15 were 83.3% and 88.5%, respectively. Considering the fact that our method requires only an accelerometer to estimate AHI, it has the potential to be a cost-effective way of screening SAS patients.","PeriodicalId":72689,"journal":{"name":"Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference","volume":"21 1","pages":"4905-4908"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80932032","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}
Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：