The proposed system was designed for tankendo, kendo, or Japanese fencing using bamboo swords that also use a mask. First, a lightweight, miniaturized world-camera that is 3mm square, or smaller than the width of the vertical bar in the mask, is attached to the center of the vertical bar. This keeps the world-camera out of the field of vision of the competitor and protects the camera from damage. Second, a lengthened signal cable is connected to the control computer and compact power supply attached to the competitor's waist. This minimizes any discomfort a competitor might feel when using the system.
{"title":"A World Camera for Recording the Game Tactics in Martial Arts using Bamboo Swords","authors":"K. Hoshino, Maki Nakamura, Yuya Nakai, Yoshimasa Ozone, Satoshi Shimanoe, Yuki Noguchi","doi":"10.1145/3375923.3375955","DOIUrl":"https://doi.org/10.1145/3375923.3375955","url":null,"abstract":"The proposed system was designed for tankendo, kendo, or Japanese fencing using bamboo swords that also use a mask. First, a lightweight, miniaturized world-camera that is 3mm square, or smaller than the width of the vertical bar in the mask, is attached to the center of the vertical bar. This keeps the world-camera out of the field of vision of the competitor and protects the camera from damage. Second, a lengthened signal cable is connected to the control computer and compact power supply attached to the competitor's waist. This minimizes any discomfort a competitor might feel when using the system.","PeriodicalId":20457,"journal":{"name":"Proceedings of the 2019 6th International Conference on Biomedical and Bioinformatics Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75066350","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. Poliakov, V. Pakhaliuk, M. Kolesova, Nikolay Lozinskiy, P. Bugayov, D. Koshevaya, P. Shtanko
In this work is presented a new design of a rehabilitation exoskeleton intended for the rehabilitation of disabled people and patients with impaired motor functions. A distinctive feature of this design is that the auxiliary legs used in it, in addition to rotational motion drives that simulate the work of the hip joints, are equipped with controlled artificial knee joints, providing biologically natural kinematics of patient during the rehabilitation process. In addition, to solve the problem of motor redundancy in the algorithms of the exoskeleton control system, synergistic quality criteria are used, which also contribute to the realization of biologically natural movements, and, consequently, the quality of rehabilitation effects. The drive control of joints is carried out using commands generated by a hierarchical control system operating based on information from inertial and resistor sensors mounted directly on the exoskeleton elements.
{"title":"Synthesis of Lower Limbs Exoskeleton for the Rehabilitation of Patients with Disorders of Motor and Proprioceptive Systems","authors":"A. Poliakov, V. Pakhaliuk, M. Kolesova, Nikolay Lozinskiy, P. Bugayov, D. Koshevaya, P. Shtanko","doi":"10.1145/3375923.3375926","DOIUrl":"https://doi.org/10.1145/3375923.3375926","url":null,"abstract":"In this work is presented a new design of a rehabilitation exoskeleton intended for the rehabilitation of disabled people and patients with impaired motor functions. A distinctive feature of this design is that the auxiliary legs used in it, in addition to rotational motion drives that simulate the work of the hip joints, are equipped with controlled artificial knee joints, providing biologically natural kinematics of patient during the rehabilitation process. In addition, to solve the problem of motor redundancy in the algorithms of the exoskeleton control system, synergistic quality criteria are used, which also contribute to the realization of biologically natural movements, and, consequently, the quality of rehabilitation effects. The drive control of joints is carried out using commands generated by a hierarchical control system operating based on information from inertial and resistor sensors mounted directly on the exoskeleton elements.","PeriodicalId":20457,"journal":{"name":"Proceedings of the 2019 6th International Conference on Biomedical and Bioinformatics Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79886740","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}
K. Pamintuan, Judy Ann B. Cajayon, Gecille B. Dableo
Black soldier fly larva (Hermetia illucens) of BSFL has long been eyed as a potential waste-to-energy bioconversion tool to convert organic waste into biomass (lipids) which would then be converted into biofuel. The effect of different feeds, namely, chick starter mash (control), milkfish offal, and mixed vegetable waste, on the growth characteristics and nutritional profile of black soldier fly larvae were determined in this study. Daily measurements of length, width, and mass of the larvae were done from hatching to the pre-pupal stage. The gathered mass of the larva as a function of time was fitted through a Gompertz growth equation. The growth experiment with these substrates showed that larvae reared in milkfish offal rendered the highest growth rate and largest terminal mass, length, and width. Furthermore, they also showed significantly higher efficiency of conversion of digested feed and survival rate than the other two substrates (control and vegetable waste). The nutritional profile was determined as fractions of crude protein, crude fat, carbohydrate, and ash. The proximate analysis reported the highest protein and carbohydrate content of the larvae reared in milkfish offal at 38.95% and 44.45%, respectively. Meanwhile, larvae raised in vegetable waste obtained the highest fat and ash content at 40.55% and 15.2%, respectively. The results dictated by the proximate analysis implies a potential for the rearing of black soldier fly in vegetable waste substrates as source of lipids for biodiesel feedstock through a low-cost waste-to-energy system.
{"title":"Growth Characteristics and Lipid Content of Black Soldier Fly (Hermetia illucens) Larva Reared in Milkfish Offal and Mixed Vegetable Wastes","authors":"K. Pamintuan, Judy Ann B. Cajayon, Gecille B. Dableo","doi":"10.1145/3375923.3375957","DOIUrl":"https://doi.org/10.1145/3375923.3375957","url":null,"abstract":"Black soldier fly larva (Hermetia illucens) of BSFL has long been eyed as a potential waste-to-energy bioconversion tool to convert organic waste into biomass (lipids) which would then be converted into biofuel. The effect of different feeds, namely, chick starter mash (control), milkfish offal, and mixed vegetable waste, on the growth characteristics and nutritional profile of black soldier fly larvae were determined in this study. Daily measurements of length, width, and mass of the larvae were done from hatching to the pre-pupal stage. The gathered mass of the larva as a function of time was fitted through a Gompertz growth equation. The growth experiment with these substrates showed that larvae reared in milkfish offal rendered the highest growth rate and largest terminal mass, length, and width. Furthermore, they also showed significantly higher efficiency of conversion of digested feed and survival rate than the other two substrates (control and vegetable waste). The nutritional profile was determined as fractions of crude protein, crude fat, carbohydrate, and ash. The proximate analysis reported the highest protein and carbohydrate content of the larvae reared in milkfish offal at 38.95% and 44.45%, respectively. Meanwhile, larvae raised in vegetable waste obtained the highest fat and ash content at 40.55% and 15.2%, respectively. The results dictated by the proximate analysis implies a potential for the rearing of black soldier fly in vegetable waste substrates as source of lipids for biodiesel feedstock through a low-cost waste-to-energy system.","PeriodicalId":20457,"journal":{"name":"Proceedings of the 2019 6th International Conference on Biomedical and Bioinformatics Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81060714","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. N. Nguyen, Q. P. Pham, Q. K. Do, C. C. Vo, T. V. Nguyen
In recent years, food safety and quality have become critical issues of great concern throughout the world. Although the food freezing process is a very complex process, the emergence of novel freezing processes and technologies has been able to bring high benefits improving the final quality of food frozen products. This study aims at evaluating the texture quality of Vietnamese catfish fillet products after different freezing processes. Experimental samples were carried out with the fresh Vietnamese catfish. These catfish fillet samples were frozen from 12°C to -18°C by conventional air blast freezing (ABF) and magnetic assisted freezing (MAF). The evaluation method for their textural quality is texture profile analysis (TPA). The mechanical-physical properties of catfish fillet samples, which include the frozen ones from different freezing processes and the fresh unfrozen ones, were investigated and analyzed with shear and compressive tests to identify their hardness, gumminess, stringiness, etc. Results obtained from both shear and compressive tests show that catfish fillet samples frozen by MAF were able to maintain the mechanical-physical properties better than ones frozen by ABF. Therefore, applying the innovative freezing processes such as MAF processes could improve the final textural quality of Vietnamese catfish fillet products.
{"title":"A Study on the Texture Quality of Vietnamese Catfish (Pangasius Hypophthalmus) Fillets after Different Freezing Processes","authors":"T. N. Nguyen, Q. P. Pham, Q. K. Do, C. C. Vo, T. V. Nguyen","doi":"10.1145/3375923.3375958","DOIUrl":"https://doi.org/10.1145/3375923.3375958","url":null,"abstract":"In recent years, food safety and quality have become critical issues of great concern throughout the world. Although the food freezing process is a very complex process, the emergence of novel freezing processes and technologies has been able to bring high benefits improving the final quality of food frozen products. This study aims at evaluating the texture quality of Vietnamese catfish fillet products after different freezing processes. Experimental samples were carried out with the fresh Vietnamese catfish. These catfish fillet samples were frozen from 12°C to -18°C by conventional air blast freezing (ABF) and magnetic assisted freezing (MAF). The evaluation method for their textural quality is texture profile analysis (TPA). The mechanical-physical properties of catfish fillet samples, which include the frozen ones from different freezing processes and the fresh unfrozen ones, were investigated and analyzed with shear and compressive tests to identify their hardness, gumminess, stringiness, etc. Results obtained from both shear and compressive tests show that catfish fillet samples frozen by MAF were able to maintain the mechanical-physical properties better than ones frozen by ABF. Therefore, applying the innovative freezing processes such as MAF processes could improve the final textural quality of Vietnamese catfish fillet products.","PeriodicalId":20457,"journal":{"name":"Proceedings of the 2019 6th International Conference on Biomedical and Bioinformatics Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86611851","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}
The red blood cell (RBC) partitioning properties at microvascular bifurcation are largely related to heterogeneous oxygen distributions in the microcirculatory networks. Here, three-dimensional, T-type symmetric capillary bifurcation models have been prepared and the flow behavior of RBCs through the capillary bifurcations has been investigated. Simulated blood flow was computed using the lattice Boltzmann method, in conjunction with the immersed boundary method, for incorporating fluid-membrane interactions between the flow field and deformable RBCs. To do this, first the straight vessel flow was simulated to determine the RBC flow at a parent vessel of the bifurcation model. The simulation results indicated two types of RBC arrangements according to the hematocrit: (i) zigzag-slipper and (ii) aligned-parachute shapes. Next, by adopting the RBC arrangements obtained from the straight vessel analysis, RBC partitioning in the capillary bifurcation was investigated. The simulation results were in agreement with the Pries' empirical model at high hematocrit. On the other hand, the bias of RBC flux for the parachute shape was larger than that of the empirical model at low hematocrit. These results suggest that the partitioning properties of RBCs in the microvascular bifurcation depend largely on the RBC arrangement in the parent vessel.
{"title":"Numerical Study on Flow Behavior of Red Blood Cells through Symmetric Capillary Bifurcations","authors":"M. Hirono, T. Hyakutake","doi":"10.1145/3375923.3375934","DOIUrl":"https://doi.org/10.1145/3375923.3375934","url":null,"abstract":"The red blood cell (RBC) partitioning properties at microvascular bifurcation are largely related to heterogeneous oxygen distributions in the microcirculatory networks. Here, three-dimensional, T-type symmetric capillary bifurcation models have been prepared and the flow behavior of RBCs through the capillary bifurcations has been investigated. Simulated blood flow was computed using the lattice Boltzmann method, in conjunction with the immersed boundary method, for incorporating fluid-membrane interactions between the flow field and deformable RBCs. To do this, first the straight vessel flow was simulated to determine the RBC flow at a parent vessel of the bifurcation model. The simulation results indicated two types of RBC arrangements according to the hematocrit: (i) zigzag-slipper and (ii) aligned-parachute shapes. Next, by adopting the RBC arrangements obtained from the straight vessel analysis, RBC partitioning in the capillary bifurcation was investigated. The simulation results were in agreement with the Pries' empirical model at high hematocrit. On the other hand, the bias of RBC flux for the parachute shape was larger than that of the empirical model at low hematocrit. These results suggest that the partitioning properties of RBCs in the microvascular bifurcation depend largely on the RBC arrangement in the parent vessel.","PeriodicalId":20457,"journal":{"name":"Proceedings of the 2019 6th International Conference on Biomedical and Bioinformatics Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83540016","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}
Neuromodulation is a promising treating therapy for drug-resistant epilepsy. Studies have shown that electrical stimulation could induce post-stimulus inhibition of neural activity, making it available for aborting seizure. Considering the long-term safety, intermittent open loop electrical stimulations are commonly employed in both experimental studies and clinical trials. Commonly applied stimulations were alternation sequences between stimulation ONs and OFFs, during which both stimulation pulse trains and interval periods lasted several minutes. The long periods of stimulations may lead to damage to both tissue and electrode itself. To optimize treatment efficacy, in current study, a new stimulation paradigm was designed. To reduce charge accumulation, two pairs of cross-located electrodes were implanted for interleaved stimulation delivering. Besides, brief pulse trains with short intervals were applied instead of relatively long stimulation cycle. Key stimulation parameters were tested for efficacy comparison. And long-term seizure suppression effects were monitored and estimated by LFP signals. The results showed that in acute Penicillin-induced seizure model, the new stimulation therapy could significantly reduce seizure durations by 80.3%. The counts of seizure were also found to be reduced by 80.7%. These results demonstrated that with shortened stimulation sequences, seizures could still be suppressed efficiently, providing a new possible stimulation paradigm for seizure treatment.
{"title":"An Improved Intermittent Electrical Stimulation Therapy for Penicillin-induced Seizure Suppression","authors":"Long-Bin Liu, Jiacheng Zhang, Shuming Ye, Kedi Xu","doi":"10.1145/3375923.3375930","DOIUrl":"https://doi.org/10.1145/3375923.3375930","url":null,"abstract":"Neuromodulation is a promising treating therapy for drug-resistant epilepsy. Studies have shown that electrical stimulation could induce post-stimulus inhibition of neural activity, making it available for aborting seizure. Considering the long-term safety, intermittent open loop electrical stimulations are commonly employed in both experimental studies and clinical trials. Commonly applied stimulations were alternation sequences between stimulation ONs and OFFs, during which both stimulation pulse trains and interval periods lasted several minutes. The long periods of stimulations may lead to damage to both tissue and electrode itself. To optimize treatment efficacy, in current study, a new stimulation paradigm was designed. To reduce charge accumulation, two pairs of cross-located electrodes were implanted for interleaved stimulation delivering. Besides, brief pulse trains with short intervals were applied instead of relatively long stimulation cycle. Key stimulation parameters were tested for efficacy comparison. And long-term seizure suppression effects were monitored and estimated by LFP signals. The results showed that in acute Penicillin-induced seizure model, the new stimulation therapy could significantly reduce seizure durations by 80.3%. The counts of seizure were also found to be reduced by 80.7%. These results demonstrated that with shortened stimulation sequences, seizures could still be suppressed efficiently, providing a new possible stimulation paradigm for seizure treatment.","PeriodicalId":20457,"journal":{"name":"Proceedings of the 2019 6th International Conference on Biomedical and Bioinformatics Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89423070","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}
K. Hoshino, Yuki Noguchi, Yuya Nakai, Yoshimasa Ozone, Maki Nakamura
The final goal is to make a "tankendo machine" that is easy to use, safe, fun, and can provide a mechanical competitor for humans. First, deep learning technology was used to install an image processing system that could detect the start (initial motion) of striking and thrusting motions by humans and quickly predict the type of technique used.
{"title":"Predicting the Types of Striking and Thrusting Motions by using Deep Learning","authors":"K. Hoshino, Yuki Noguchi, Yuya Nakai, Yoshimasa Ozone, Maki Nakamura","doi":"10.1145/3375923.3375954","DOIUrl":"https://doi.org/10.1145/3375923.3375954","url":null,"abstract":"The final goal is to make a \"tankendo machine\" that is easy to use, safe, fun, and can provide a mechanical competitor for humans. First, deep learning technology was used to install an image processing system that could detect the start (initial motion) of striking and thrusting motions by humans and quickly predict the type of technique used.","PeriodicalId":20457,"journal":{"name":"Proceedings of the 2019 6th International Conference on Biomedical and Bioinformatics Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74923715","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}
For non-cartesian magnetic resonance imaging, like spiral imaging, field inhomogeneity could cause image blurring, especially for long readout time. General correction method required field map estimation. However, when images are in low spin density, the estimated field map suffers from noise. A regularized method which utilizes the physical feature that field map is spatial smoothing, is proposed to estimate field map with little noise. The field map estimated by regularized method only have good performance while the images in low noise level. Once image suffers from severe noise, an accurate field map is still hard to obtain. In reality, to shorten scan time in spiral imaging, we would decrease the number of interleaves of sampling. As results of that, Signal-to-noise Ratio (SNR) of image gets lower, and effect of B0 inhomogeneity becomes serious problem. In such situation, a better way to calculate field map is required. In this paper, we propose optimized field map estimation method which employs compressed sensing algorithm. Actually, recovery expected signal of compressed sensing (CS) algorithm is noise reduction process, which could be used to estimate field map when images are in low SNR. The experiments show that using Wavelet transform as regularization term could perform better when images are in low Signal-to-Noise Ratio (SNR). To improve calculated field map further, both Total Variation (TV) term and Waveform term as regularization term are adapted. The method in this paper promises great field map estimation.
{"title":"Field Map Estimation in MRI using Compressed Sensing Algorithm","authors":"K. Yan, H. She","doi":"10.1145/3375923.3375924","DOIUrl":"https://doi.org/10.1145/3375923.3375924","url":null,"abstract":"For non-cartesian magnetic resonance imaging, like spiral imaging, field inhomogeneity could cause image blurring, especially for long readout time. General correction method required field map estimation. However, when images are in low spin density, the estimated field map suffers from noise. A regularized method which utilizes the physical feature that field map is spatial smoothing, is proposed to estimate field map with little noise. The field map estimated by regularized method only have good performance while the images in low noise level. Once image suffers from severe noise, an accurate field map is still hard to obtain. In reality, to shorten scan time in spiral imaging, we would decrease the number of interleaves of sampling. As results of that, Signal-to-noise Ratio (SNR) of image gets lower, and effect of B0 inhomogeneity becomes serious problem. In such situation, a better way to calculate field map is required. In this paper, we propose optimized field map estimation method which employs compressed sensing algorithm. Actually, recovery expected signal of compressed sensing (CS) algorithm is noise reduction process, which could be used to estimate field map when images are in low SNR. The experiments show that using Wavelet transform as regularization term could perform better when images are in low Signal-to-Noise Ratio (SNR). To improve calculated field map further, both Total Variation (TV) term and Waveform term as regularization term are adapted. The method in this paper promises great field map estimation.","PeriodicalId":20457,"journal":{"name":"Proceedings of the 2019 6th International Conference on Biomedical and Bioinformatics Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81920357","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}
The clinical monitor now mostly uses impedance IP (impedance pneumography) to measure respiratory signals. While in breathing, the movement of chest leads to position change of the EKG (Electrocardiogram) electrodes on the skin resulting in a change in impedance which can be used to estimate the respiratory rate. Measuring the EKG's impedance change for estimating the respiratory rate requires some specialized hardware. Other indirect methods for estimating respiratory rate, such as the EDR (EKG Derived Respiration), just simply utilize the EKG signal making use of the inherent variations in respiration wherein the respiratory rate is obtained from the parameter variations within the EKG waveform including RSA (Respiratory Sinus Arrhythmia) and R Peak Amplitude (RPA). This study proposes a new EDR method in which the square of the slope of the EKG waveform is calculated first and then followed by the moving average. The respiratory rate is obtained by the proposed algorithm that employs the modulated time series and compared to the results from RPA and RSA methods. The new method uses EEMD (Ensemble Empirical Mode Decomposition) to remove noise from EKG, reconstructs the respiratory signal by selecting the right IMF (Intrinsic Mode Function) as respiratory signal, and finally compares it with the nasal mouth pressure reference respiratory signal. The new RSS (R-peak Slope Square) method works with adaptive signal processing tool EEMD to obtain the EDR exploring the potential feasibility of clinical application in the future. The results demonstrate that the innovative methods proposed by this study are more accurate than that from RSA in elderly monitoring and nearly same performance as RPA (R-peak Amplitude) as well.
{"title":"A Novel Method for Estimating Respiration Rate based on Ensemble Empirical Mode Decomposition and EKG Slope","authors":"Iau-Quen Chung, Jen-te Yu, Weichih Hu","doi":"10.1145/3375923.3375946","DOIUrl":"https://doi.org/10.1145/3375923.3375946","url":null,"abstract":"The clinical monitor now mostly uses impedance IP (impedance pneumography) to measure respiratory signals. While in breathing, the movement of chest leads to position change of the EKG (Electrocardiogram) electrodes on the skin resulting in a change in impedance which can be used to estimate the respiratory rate. Measuring the EKG's impedance change for estimating the respiratory rate requires some specialized hardware. Other indirect methods for estimating respiratory rate, such as the EDR (EKG Derived Respiration), just simply utilize the EKG signal making use of the inherent variations in respiration wherein the respiratory rate is obtained from the parameter variations within the EKG waveform including RSA (Respiratory Sinus Arrhythmia) and R Peak Amplitude (RPA). This study proposes a new EDR method in which the square of the slope of the EKG waveform is calculated first and then followed by the moving average. The respiratory rate is obtained by the proposed algorithm that employs the modulated time series and compared to the results from RPA and RSA methods. The new method uses EEMD (Ensemble Empirical Mode Decomposition) to remove noise from EKG, reconstructs the respiratory signal by selecting the right IMF (Intrinsic Mode Function) as respiratory signal, and finally compares it with the nasal mouth pressure reference respiratory signal. The new RSS (R-peak Slope Square) method works with adaptive signal processing tool EEMD to obtain the EDR exploring the potential feasibility of clinical application in the future. The results demonstrate that the innovative methods proposed by this study are more accurate than that from RSA in elderly monitoring and nearly same performance as RPA (R-peak Amplitude) as well.","PeriodicalId":20457,"journal":{"name":"Proceedings of the 2019 6th International Conference on Biomedical and Bioinformatics Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85542317","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}
Precision medicine is a strategy to personalize disease identification and medical care decisions through genetics. The rapid development of -omics technologies e.g., DNA and RNA sequencing, which reveal specific gene mutations in a patient's tumor or profiling of gene expressions for drug responses helps oncologists find effective treatments for individual patients based on their genetics. Hence, besides the clinical records, -omics data become essential for personalized diagnosis and treatments. In this paper, a web-based standalone software platform for cancer precision medicine, called RUN-ONCO, is proposed aiming to help oncologists and researchers manage and make use of the available clinical and -omics data easily and efficiently. The platform allows the management of clinical records, biospecimens, and -omics data and enables various integrative data analyses together with public databases such as STRING and OncoKB. With the increasing number of published methods for various -omics data analyses together with the availability of numerous javascript libraries for data visualization, RUN-ONCO has also been designed to be highly extensible with plugins for both visualizations and analysis methods. A demo version of RUN-ONCO is available online at http://cucpbioinfo.cp.eng.chula.ac.th:6002 and the source code for local deployment is at https://gitlab.com/peyrone/run-onco.
{"title":"RUN-ONCO: A Highly Extensible Software Platform for Cancer Precision Medicine","authors":"Neda Peyrone, D. Wichadakul","doi":"10.1145/3375923.3375928","DOIUrl":"https://doi.org/10.1145/3375923.3375928","url":null,"abstract":"Precision medicine is a strategy to personalize disease identification and medical care decisions through genetics. The rapid development of -omics technologies e.g., DNA and RNA sequencing, which reveal specific gene mutations in a patient's tumor or profiling of gene expressions for drug responses helps oncologists find effective treatments for individual patients based on their genetics. Hence, besides the clinical records, -omics data become essential for personalized diagnosis and treatments. In this paper, a web-based standalone software platform for cancer precision medicine, called RUN-ONCO, is proposed aiming to help oncologists and researchers manage and make use of the available clinical and -omics data easily and efficiently. The platform allows the management of clinical records, biospecimens, and -omics data and enables various integrative data analyses together with public databases such as STRING and OncoKB. With the increasing number of published methods for various -omics data analyses together with the availability of numerous javascript libraries for data visualization, RUN-ONCO has also been designed to be highly extensible with plugins for both visualizations and analysis methods. A demo version of RUN-ONCO is available online at http://cucpbioinfo.cp.eng.chula.ac.th:6002 and the source code for local deployment is at https://gitlab.com/peyrone/run-onco.","PeriodicalId":20457,"journal":{"name":"Proceedings of the 2019 6th International Conference on Biomedical and Bioinformatics Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82264375","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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