2021 13th Biomedical Engineering International Conference (BMEiCON)最新文献

{"title":"Noncontact Simultaneous Measurement of Cough-Associated Electromyogram, Electrocardiogram, and Body Proximity Using an In-Bed Fabric-Sheet Electrode","authors":"Mitsuki Ebisawa, A. Ueno","doi":"10.1109/BMEiCON53485.2021.9745201","DOIUrl":"https://doi.org/10.1109/BMEiCON53485.2021.9745201","url":null,"abstract":"Cough is an important symptom of many respiratory illnesses. We propose a new approach for the simultaneous measurement of cough-associated capacitive electromyogram (cEMG), capacitive electrocardiogram (cECG), and body proximity (BPx) signals using a fabric-sheet unified sensing electrode and for cough detection using a cEMG signal combined with BPx and cECG signals. For the cEMG signal, electromyographic firings were observed synchronously with cough motion in supine, right lateral, and left lateral body postures. Simultaneously, stable cECG and BPx signals were measured at each posture. Every cough motion was successfully detected for each posture for three subjects using cEMG, cECG, and BPx signals. An increased number of subjects are necessary to gain more reliable results. Verification of the proposed approaches via a long-term experiment is also necessary for future work.)","PeriodicalId":380002,"journal":{"name":"2021 13th Biomedical Engineering International Conference (BMEiCON)","volume":"602 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116339996","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}

{"title":"The Addition of Fluoride to the Eggshell-derived Hydroxyapatite: A Preliminary Study","authors":"Vilasinee Uthayaphamornwat, Arissara Suksap, A. Khantachawana, M. Kitiwan, Kasama Srirussamee, P. Tunthawiroon","doi":"10.1109/BMEiCON53485.2021.9745239","DOIUrl":"https://doi.org/10.1109/BMEiCON53485.2021.9745239","url":null,"abstract":"Dental caries are one of the major oral health problems, which could be mitigated by addressing the dental defects. Hydroxyapatite (HA) is commonly used for tooth and bone replacement due toits similar properties as the native hard tissues. Natural sources with abundant availability, such as eggshells, could be used to synthesize HA. Moreover, with the presence of fluorine in HA, it was suggested that the performance of this material could be enhanced in terms of material stability and anti-caries properties. This preliminary study aims to compare two methods used to produce fluoride-added HA from eggshells, which are pH cycling and wet precipitation methods. The molecular structure, crystal structure, particle appearance and chemical compositions of the obtained samples were characterized. The results suggested that pH cycling has provided samples with higher fluorine content, more crystalline structure and less CO3than those obtained from wet precipitation method. Therefore, pH cycling method appears to be more suitable for further processing and characterization of the fluoride-added HA samples derived from eggshells.","PeriodicalId":380002,"journal":{"name":"2021 13th Biomedical Engineering International Conference (BMEiCON)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123476616","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}

{"title":"Smart Cane for Assisting Visually Impaired People and the Blind","authors":"P. Kramomthong, C. Pintavirooj, M. P. Paing","doi":"10.1109/BMEiCON53485.2021.9745212","DOIUrl":"https://doi.org/10.1109/BMEiCON53485.2021.9745212","url":null,"abstract":"The limited mobility of the visually impaired and blind makes daily activities such as avoiding obstacles, traveling, crossing the street, and dealing with an emergency difficult. Currently, there are active studies and developments about devices and technologies that increase deftness daily and travel independently. In this paper, we combine various functions into one device consisting of obstacle detection, navigation, and emergency calls to increase the safety and travel mobility of visually impaired people and the blind. The laboratory experiment results of whole functions were successful, and the device can alert the user with sound and vibration.","PeriodicalId":380002,"journal":{"name":"2021 13th Biomedical Engineering International Conference (BMEiCON)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121417747","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}

{"title":"Multicommand Auditory ERP-based BCI System","authors":"Manorot Borirakarawin, Yunyong Punsawad","doi":"10.1109/BMEiCON53485.2021.9745219","DOIUrl":"https://doi.org/10.1109/BMEiCON53485.2021.9745219","url":null,"abstract":"This paper proposes an auditory modality-based braincomputer interface (BCI) using electroencephalogram (EEG) signals. The objective is an alternative BCI method for control and communication. The N200 and P300 responses from vowel sound stimuli were observed in a preliminary study to repeat and verify an auditory stimulus method. By using a single speaker and the proposed paradigm, a simple classification method can produce four commands. The results showed that the proposed auditory stimulation of a vowel sound duration of 250 ms with 20 trials of stream stimuli achieved a high average accuracy; the average accuracy of combining the ERP features produced from the Fz, Cz, Pz, P3, and P4 channels was 78.13%. We will employ the proposed auditory modality for a real-time BCI system to serve paralyzed patients with visual impairments.","PeriodicalId":380002,"journal":{"name":"2021 13th Biomedical Engineering International Conference (BMEiCON)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122699188","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}

{"title":"Artificial Computed Tomography Images with Progressively Growing Generative Adversarial Network","authors":"Fawad Asadi, Jamie A. O’Reilly","doi":"10.1109/BMEiCON53485.2021.9745251","DOIUrl":"https://doi.org/10.1109/BMEiCON53485.2021.9745251","url":null,"abstract":"Applications of artificial intelligence in medical imaging include classification, segmentation, and treatment planning. Using current deep-learning techniques, developing these systems requires large amounts of labelled training data. Obtaining this data is challenging due to costs, required expertise, inconsistency of imaging procedures and formatting, and patient privacy concerns. Generative adversarial networks (GANs) may alleviate some of these issues by supplying realistic artificial medical images. In this study, we trained progressively growing (PG)GAN to synthesize full-sized computed tomography (CT) images and succeeded. Performance of the PGGAN was evaluated using Fréchet Inception Distance (FID), Inception Score (IS), and Precision (P) and Recall (R). These metrics were calculated for generated, training, and validation images. The influence of dataset size was explored by varying the number of samples used to calculate each metric; this affected FID, P, and R, but not IS, which has obvious implications for comparing studies. The FID between artificial CT images from PGGAN and real validation images was 42; interestingly, FID between real training and validation images was 24. This suggests that a further reduction of 18 could be achieved by improving the generative model. Overall, artificial CT images generated by PGGAN were almost indistinguishable from real images to the human eye, although computational metrics could identify differences between them. In future work, GANs may be deployed to augment data for training medical AI systems.","PeriodicalId":380002,"journal":{"name":"2021 13th Biomedical Engineering International Conference (BMEiCON)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121986168","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}

{"title":"Design and Static loading test of AFOs to control foot drop among patients with Peroneal Nerve injury","authors":"May Su Khaing, M. Samala, G. Guerra, Attaporn Wisessint","doi":"10.1109/BMEiCON53485.2021.9745199","DOIUrl":"https://doi.org/10.1109/BMEiCON53485.2021.9745199","url":null,"abstract":"Ankle foot orthotics can help persons with disabilities such as drop foot to ambulate more optimally. However, before clinical use, the design and static mechanical testing of such devices must occur. The purpose of this study was to design and fabricate an adjustable Posterior Leaf Spring (PLS) ankle-foot orthosis (AFO) and to perform the mechanical static loading test for an Adjustable PLS AFO and traditional flexible AFO. Static mechanical testing (bending test) was performed using an Instron 8801 machine for two different AFO designs; the adjustable PLS AFO and traditional flexible AFO. Both AFOs were made with 5 mm Polypropylene (PP).The posterior bar of PLS AFO was made with 8 mm thick polypropylene (PP), and in traditional AFO, 3 mm PP was added and reinforced before thermoforming with 5 mm PP. The stiffness properties were calculated from the slope of the moment versus angles graph and were as follows: adjustable PLS AFO was 0.4 Nm/ degree to 0.6 Nm/degree, while Traditional flexible AFO has 0.3 Nm/degree to 0.5 Nm/degree. In the same way, adjustable PLS AFO requires the maximum Load (25 to 31 N) for the final displacement when traditional AFO needs 26 N only. The adjustable PLS AFO has higher stiffness properties than the traditional flexible AFO. Future studies are planned to evaluate the lower limb spatiotemporal and sagittal kinematic gait parameters of foot drop patients during walking.","PeriodicalId":380002,"journal":{"name":"2021 13th Biomedical Engineering International Conference (BMEiCON)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125636190","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}

{"title":"BMEiCON 2021 Schedule","authors":"","doi":"10.1109/bmeicon53485.2021.9745241","DOIUrl":"https://doi.org/10.1109/bmeicon53485.2021.9745241","url":null,"abstract":"","PeriodicalId":380002,"journal":{"name":"2021 13th Biomedical Engineering International Conference (BMEiCON)","volume":"237 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132767693","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}

{"title":"Development of an Affordable Prosthetic Finger from Natural Rubber: A Pilot Study","authors":"Sreyleak Chan, K. Sasaki, G. Guerra, J. Poonsiri, Thanatat Charatrungolan","doi":"10.1109/BMEiCON53485.2021.9745225","DOIUrl":"https://doi.org/10.1109/BMEiCON53485.2021.9745225","url":null,"abstract":"Objectives: To evaluate and compare the appearance between silicone, natural rubber, and ethylene-vinyl acetate (EVA) finger prostheses.Methodology: Twenty participants were invited to participate in this study. The mean age was 30.20±5.53,11 (55%) were female, and 9 (45%) were male. Thirteen (65%) were prosthetic and orthotic students, and seven (35%) were other professional students at Siriraj Hospital. All participants were healthy with no color and visual impairments. Participants were asked to evaluate the appearance of finger prostheses by Likert scale for three finger prostheses. Silicone, natural rubber, and EVA finger prosthesis compared with the nonamputated finger as a reference. Scores were 1 worst, 2 poor, 3 fair, 4 good, 5 excellent in four different categories: skin tone, outward appearance, detail of prosthesis, and shape. For improvement, additional comments from the participants were recorded.Results: The silicone finger prosthesis’s total scores ranged from 80.00% excellent to 1.25% fair across all four categories. The natural rubber finger prosthesis scored from 13.75% excellent to 3.75% poor, a score of 13.75% good to 10.00% worst in EVA finger prosthesis was seen. The skin tone of silicone, natural rubber, EVA finger prosthesis were 4.65±0.59,3.60±0.60, and 2.45±0.76, respectively. The outward appearance were 4.75±0.44,3.90±0.64, and 2.20±0.83, respectively. The detail of the prosthetic finger were 4.85±0.37,4.05±0.76, and 2.85±0.87, respectively. The shape were 4.90±0.31,3.75±0.79, and 2.40±0.88, respectively.Discussion and Conclusion: These results evidenced the natural rubber appearance was between excellent to poor. The detail of natural rubber prosthetic finger were from excellent to fair, while other categories results were good. The detail category for EVA finger scored from good to poor, while other categories scores ranged from fair to poor. The silicone finger prosthesis had a better appearance than the natural finger prosthesis, with the EVA finger prosthesis scoring lowest.","PeriodicalId":380002,"journal":{"name":"2021 13th Biomedical Engineering International Conference (BMEiCON)","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129626035","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}

{"title":"Performance Comparison of Deep Learning Approach for Automatic CT Image Segmentation by Using Window Leveling","authors":"Kamonchat Apivanichkul, P. Phasukkit, P. Dankulchai","doi":"10.1109/BMEiCON53485.2021.9745252","DOIUrl":"https://doi.org/10.1109/BMEiCON53485.2021.9745252","url":null,"abstract":"In tumor radiotherapy process, radiologist need to make multipleorgans contouring on medical images such as CT scans for computing appropriate dose and making a suitable treatment plan for patients. This is a necessary step before treatment. This paper was written to be one of automatic image segmentation research by using deep learning. The experiment compared performance between preprocessing input datasets with custom window leveling normalization and following by organ types. We chose the bladder, the rectum and the femur as target organs in this paper. Datasets are directly obtained from Siriraj Hospital that contoured by radiologists. There are 10 datasets of each organs. We used U-Net as main structure to extract features on image then evaluated by dice similarity coefficient (DSC) and intersection over union (IoU). The experiment resulted that training with custom window leveling normalization is better performance. The bladder got DSC and IoU of 78.34% and 70.46%, femur were 39.71% and 28.03%, and rectum were 19.19% and 12.20%, respectively.","PeriodicalId":380002,"journal":{"name":"2021 13th Biomedical Engineering International Conference (BMEiCON)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125403963","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}

{"title":"Single-Case study: Biomechanical evaluation of a modified clamshell prosthesis in the chopart amputee","authors":"Tin Cho Aye, M. Samala, G. Guerra","doi":"10.1109/BMEiCON53485.2021.9745238","DOIUrl":"https://doi.org/10.1109/BMEiCON53485.2021.9745238","url":null,"abstract":"Objectives: This research aimed to compare function and comfort of a chopart amputee and to evaluate gait when wearing a standard clamshell prosthesis and novel modified clamshell prosthesis.Materials and Methods: The subject was a 75-year -old female who got amputation on her left limb as a result of a motor vehicle accident. She was provided two partial foot prosthesis designs; a modified clamshell prosthesis and a standard clamshell prosthesis. The participant performed outcome measures that evaluated center of pressure (COP) in anterior-posterior direction (velocity, displacement), ground reaction force (GRF), Socket Comfort Score (SCS), Timed-Up and Go Test (TUG), cadence, walking velocity, and stride length.Results: Improvement in spatial-temporal parameters (cadence, stride length and walking velocity) were seen using the modified clamshell prosthesis. The resulted of horizontal and vertical ground reaction force walking with the modified clamshell prosthesis was smoother and more like normal patterns. Furthermore, the displacement and velocity of the COP in the anterior-posterior direction using modified clamshell prosthesis resulted were lower range in affected limbs compared to the standard clamshell prosthesis. The socket comfort score was the same, and TUG results was longer in the modified clamshell prosthesis 10.61 seconds and 10.1 seconds respectively.Conclusion: A modified clamshell prosthesis improved function in gait over a standard clamshell prosthesis. Walking with the modified clamshell prosthesis saw more normal gait and force measurements. The use of a modified clamshell prosthesis may provide an alternative and functional design for the partial foot amputee.","PeriodicalId":380002,"journal":{"name":"2021 13th Biomedical Engineering International Conference (BMEiCON)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131632922","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}