2021 IEEE National Biomedical Engineering Conference (NBEC)最新文献

A Tilting Platform as a Sub-injury Motion for Ankle Sprain Studies 倾斜平台作为踝关节扭伤亚损伤运动的研究

2021 IEEE National Biomedical Engineering Conference (NBEC) Pub Date : 2021-11-09 DOI: 10.1109/nbec53282.2021.9618764

Natrisha Francis, Aziz Ong, Hazwani Suhaimi, P. E. Abas

{"title":"A Tilting Platform as a Sub-injury Motion for Ankle Sprain Studies","authors":"Natrisha Francis, Aziz Ong, Hazwani Suhaimi, P. E. Abas","doi":"10.1109/nbec53282.2021.9618764","DOIUrl":"https://doi.org/10.1109/nbec53282.2021.9618764","url":null,"abstract":"Ankle sprains are amongst the most prevalent musculoskeletal system injuries, impacting athletes of all ages and all sporting activities, with most ankle sprains resulting from stress during inversion, plantar flexion, or supination of the foot. One method of simulating ankle sprain motion is through sub-injury trials using a platform that can force the foot to invert, simulating an ankle sprain motion repeatedly on human participants without causing actual injury. This study aims to design and fabricate a tilting platform that uses a DC motor to enable such research to be performed. The tilting platform, which is capable of inverting the foot to the desired angle of inversion to simulate ankle sprain motion, has been constructed, and a total of 20 sets of data have been collected from four participants to ensure that the platform is able to simulate ankle sprain motion. The design, material, structure, and mechanism of the tilting platform was made to ensure the participants’ safety and not cause real injury to the participants. Comparison of sub-injury trial using the platform and kinematic data from OpenSim has shown that the tilting platform is capable of simulating real-life ankle sprain motion for data analysis, which paves the way forward for further studies on ankle sprain.","PeriodicalId":297399,"journal":{"name":"2021 IEEE National Biomedical Engineering Conference (NBEC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121944714","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}

引用次数: 1

Development of Speech Therapy Mobile Application for Aphasia Patients 失语症患者言语治疗移动应用程序的开发

2021 IEEE National Biomedical Engineering Conference (NBEC) Pub Date : 2021-11-09 DOI: 10.1109/nbec53282.2021.9618759

Muhammad Adham Aziz, S. A. Jalil, Sharifah Alwiah Syed Abdul Rahaman, H. Abdullah, S. H. Ismail, S. A. M. Aris, N. Noor, Mohd Azmarul A Aziz

{"title":"Development of Speech Therapy Mobile Application for Aphasia Patients","authors":"Muhammad Adham Aziz, S. A. Jalil, Sharifah Alwiah Syed Abdul Rahaman, H. Abdullah, S. H. Ismail, S. A. M. Aris, N. Noor, Mohd Azmarul A Aziz","doi":"10.1109/nbec53282.2021.9618759","DOIUrl":"https://doi.org/10.1109/nbec53282.2021.9618759","url":null,"abstract":"Aphasia is a difficulty in communication due to the loss of linguistic abilities caused by brain injuries. People with aphasia can recover their lost abilities through training with language therapy where it trains the ability to read, write, comprehends, and produce speech. With the booming advance in technology, telerehabilitation with the use of IoT opens up possibilities for improvement for providing a better life for people with aphasia. Smartphones being mobile and pocketsized can provide a big improvement for people with aphasia. Mobile applications can be designed and developed based on people’s needs including healthcare. This study will focus on mobile application development for Malay-speaking people with aphasia. Stroke cases in Malaysia have been up to 14396 cases between the year 2012 to 2019 and a median of 34% of post-stroke patients obtained aphasia. In this study, speech therapy mobile apps with a monitoring system will be developed. The mobile app is designed and developed using the Flutter Software development kit as the tool for mobile apps development and IoT as a connection between devices. The monitoring system will be tested to collect the data from users that completed the task and can be accessed by the patient’s caregiver and the patient’s Speech-Language Therapist.","PeriodicalId":297399,"journal":{"name":"2021 IEEE National Biomedical Engineering Conference (NBEC)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132233335","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}

引用次数: 2

Speech Therapy Mobile Applications for People with Aphasia: PRISMA review and features analysis 失语症患者言语治疗移动应用:PRISMA回顾和特征分析

2021 IEEE National Biomedical Engineering Conference (NBEC) Pub Date : 2021-11-09 DOI: 10.1109/nbec53282.2021.9618755

M. Masrom, N. Noor, A. I. Kamaruddin, M. A. A. Aziz

{"title":"Speech Therapy Mobile Applications for People with Aphasia: PRISMA review and features analysis","authors":"M. Masrom, N. Noor, A. I. Kamaruddin, M. A. A. Aziz","doi":"10.1109/nbec53282.2021.9618755","DOIUrl":"https://doi.org/10.1109/nbec53282.2021.9618755","url":null,"abstract":"Mobile applications have become substantial and practical for speech therapy services for people with aphasia (PWA) in this advancing technology era. Cultural and linguistic features consideration play a vital role in mobile applications utilization in speech therapy sessions. PWA in the Malaysian population mostly uses the Malay language as their lingua franca. The objective of this study is to 1) review mobile apps available for aphasia and 2) identify instructional features (speech therapy components) and functional features (nonlinguistic components and technology components) of speech therapy mobile applications for the PWA population in Malaysia. Preliminary search and selection process using Preferred Reporting Items for Systematic reviews and Meta Analyses (PRISMA) has identified 1797 apps with 161 apps eligible to be included for reviewing. This study enables documentation and review of the aphasia speech therapy apps compatible with iOS and Android mobile phones. It shall also identify the features and recommendations for the incorporation of users’ needs and perspective in mobile apps development for PWA, particularly in the Malaysian population. This study will help with the review of the speech therapy apps features and propose the framework for future development of speech therapy apps for PWA in the Malay language.","PeriodicalId":297399,"journal":{"name":"2021 IEEE National Biomedical Engineering Conference (NBEC)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131833605","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}

引用次数: 1

NBEC 2021 Cover Page NBEC 2021封面

2021 IEEE National Biomedical Engineering Conference (NBEC) Pub Date : 2021-11-09 DOI: 10.1109/nbec53282.2021.9618718

引用次数: 0

Association between Physical Performance and Autonomic Nervous System in Elderly Fallers 老年人身体机能与自主神经系统的关系

2021 IEEE National Biomedical Engineering Conference (NBEC) Pub Date : 2021-11-09 DOI: 10.1109/nbec53282.2021.9618714

Nur Husna Shahimi, Choon-Hian Goh, M. Tan, E. Lim

{"title":"Association between Physical Performance and Autonomic Nervous System in Elderly Fallers","authors":"Nur Husna Shahimi, Choon-Hian Goh, M. Tan, E. Lim","doi":"10.1109/nbec53282.2021.9618714","DOIUrl":"https://doi.org/10.1109/nbec53282.2021.9618714","url":null,"abstract":"Falls among older adults have become a global concern. Autonomic nervous system (ANS) function, which is implicated, can be noninvasively evaluated with heart rate variability (HRV) and blood pressure variability (BPV). The present study evaluated relationship between physical activity, physical performance and autonomic function in 92 older individuals. Continuous non-invasive cardiovascular autonomic reflexes were monitored over 5 minutes supine rest and 3 minutes standing upright. Our findings suggest that elderly fallers had poorer autonomic function, lower hand-grip strength (p< 0.001), poorer walking ability (TUG: p=0.004), greater dependence in instrumental activities of daily living (Lawton IADL: p< 0.001) and lower physical activity level (PASE: p< 0.001). Overall, Lawton IADL, PASE and Time-up and Go were significantly associated with autonomic function indices (LF-nu, HF-nu, LF/HF) and could be served as pre-screening tools to identify patients with autonomic dysfunction. Identification of specific autonomic function risk factors can be useful in the early prevention and diagnosis of recurrent falls and cardiovascular risk.","PeriodicalId":297399,"journal":{"name":"2021 IEEE National Biomedical Engineering Conference (NBEC)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114975183","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}

引用次数: 2

Synthesis and Characterisation of Hydroxyapatite (HAp) from Asiatic Hard Clam (Meretrix meretrix) and Blood Cockle Clam (Anadara granosa) Using Wet Precipitation Process 湿沉淀法合成亚洲硬蛤(Meretrix Meretrix)和血蛤(Anadara granosa)羟基磷灰石(HAp)及表征

2021 IEEE National Biomedical Engineering Conference (NBEC) Pub Date : 2021-11-09 DOI: 10.1109/nbec53282.2021.9618744

Krishani Murugiah, Mohammad Iliya Zakaria, Hazwani Suhaimi, W. Caesarendra, N. S. Sambudi

{"title":"Synthesis and Characterisation of Hydroxyapatite (HAp) from Asiatic Hard Clam (Meretrix meretrix) and Blood Cockle Clam (Anadara granosa) Using Wet Precipitation Process","authors":"Krishani Murugiah, Mohammad Iliya Zakaria, Hazwani Suhaimi, W. Caesarendra, N. S. Sambudi","doi":"10.1109/nbec53282.2021.9618744","DOIUrl":"https://doi.org/10.1109/nbec53282.2021.9618744","url":null,"abstract":"Hydroxyapatite (HAp) is a bioceramic material having numerous applications in orthopaedic and dental applications. It can be chemically synthesised from materials that are rich in calcium carbonate (CaCO3). Asiatic Hard Clam (Meretrix meretrix) and Blood Cockle Clam (Anadara granosa) are the commercial species in Southeast Asia, resulting in the discharge of abundant waste shells, which further leads to microbial growth, odour and an unhygienic environment. Moreover, shells are the global source of CaCO3. In order to convert the waste into a valuable product, this study aims to synthesise and characterise HAp from Asiatic Hard Clam and Blood Cockle Clam via a wet precipitation process. These clamshells were characterised by X-Ray fluorescence (XRF), and the result revealed that Asiatic Hard Clam contains 97.4 wt% of CaCO3 and Blood Cockle Clam of about 98.8 wt% of CaCO3. Fourier-transform infrared spectroscopy (FTIR) confirmed the presence of $-left(mathrm{PO}_{4}right)_{3}^{2-},-mathrm{CO}_{3}^{2-}$ and -OH functional groups in the synthesised HAp. The X-Ray powder diffraction (XRD) patterns of this powdered HAp showed sharper peaks which indicates better crystallinity. Moreover, the morphology of the HAp before and after sintering was characterised with the help of scanning electron microscope (SEM), which clearly showed the crystalline structure and coalescence of HAp particles. Results have revealed that HAp derived from both natural clamshells using the wet precipitation method displayed similar crystallinity, morphology and chemical characteristics of pure HAp.","PeriodicalId":297399,"journal":{"name":"2021 IEEE National Biomedical Engineering Conference (NBEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129937385","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}

引用次数: 2

Heart Disease Prediction Using Machine Learning Techniques 使用机器学习技术预测心脏病

2021 IEEE National Biomedical Engineering Conference (NBEC) Pub Date : 2021-11-09 DOI: 10.1109/nbec53282.2021.9618753

Herold Sylvestro Sipail, N. Ahmad, N. Noor

引用次数: 0

Ergonomics Risk Factors and Musculoskeletal Discomfort among Offshore Support Vessel Deck and Engine Crews 近海支援船甲板和引擎船员的人体工程学风险因素和肌肉骨骼不适

2021 IEEE National Biomedical Engineering Conference (NBEC) Pub Date : 2021-11-09 DOI: 10.1109/nbec53282.2021.9618758

Muhammad Faris Harun, S. H. Ismail, N. A. Raman, H. Abdullah

引用次数: 0

Linear Regression and Holt’s Winter Algorithm in Forecasting Daily Coronavirus Disease 2019 Cases in Malaysia: Preliminary Study 线性回归和Holt冬季算法预测马来西亚2019冠状病毒每日病例:初步研究

2021 IEEE National Biomedical Engineering Conference (NBEC) Pub Date : 2021-11-09 DOI: 10.1109/nbec53282.2021.9618763

H. Hasri, S. A. M. Aris, R. Ahmad

{"title":"Linear Regression and Holt’s Winter Algorithm in Forecasting Daily Coronavirus Disease 2019 Cases in Malaysia: Preliminary Study","authors":"H. Hasri, S. A. M. Aris, R. Ahmad","doi":"10.1109/nbec53282.2021.9618763","DOIUrl":"https://doi.org/10.1109/nbec53282.2021.9618763","url":null,"abstract":"Coronavirus disease 2019 is a fatal viral disease presently sweeping the globe. COVID-19 is a novel coronavirus that produces an infectious illness. Thus, COVID-19 detection in the general population may be helpful. The involvement of machine learning in combating COVID-19 had rapidly increased because of its efficiency to scale up, faster processing capacity, and more dependable than humans in some healthcare activities. This paper will focus on two models which are Linear Regression (LR) model and Holt’s Winter model. The COVID-19 dataset was taken from the Ministry of Health for Malaysia’s website. Daily confirmed cases were recorded from 24th of January 2020 to 31st July 2021 and stored in Microsoft Excel. Waikato Environment for Knowledge Analysis (WEKA) software was utilized to perform the prediction of daily cases in the next 14-days and the quality of forecasting models is evaluated by two performance metrics, Mean Absolute Deviation (MAD) and Mean Absolute Percentage Error (MAPE). The best model is selected by the lowest value of performance metrics. The comparison shows that the forecasting result of Holt’s Winter is more accurate than the LR model. The developed prediction model can help public health officials make better decisions and manage resources to decrease COVID-19 pandemic morbidity and mortality. Therefore, preparation and control procedures can be established.","PeriodicalId":297399,"journal":{"name":"2021 IEEE National Biomedical Engineering Conference (NBEC)","volume":"485 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123889400","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}

引用次数: 1

Preliminary Study on Patch Sizes in Vision Transformers (ViT) for COVID-19 and Diseased Lungs Classification COVID-19视觉变压器(ViT)斑块大小与病变肺分类的初步研究

2021 IEEE National Biomedical Engineering Conference (NBEC) Pub Date : 2021-11-09 DOI: 10.1109/nbec53282.2021.9618751

J. Than, P. L. Thon, O. M. Rijal, R. M. Kassim, A. Yunus, N. Noor, P. Then

{"title":"Preliminary Study on Patch Sizes in Vision Transformers (ViT) for COVID-19 and Diseased Lungs Classification","authors":"J. Than, P. L. Thon, O. M. Rijal, R. M. Kassim, A. Yunus, N. Noor, P. Then","doi":"10.1109/nbec53282.2021.9618751","DOIUrl":"https://doi.org/10.1109/nbec53282.2021.9618751","url":null,"abstract":"COVID-19 and lung diseases have been the major focus of research currently due to the pandemic’s reach and effect. Deep Learning (DL) is playing a large role today in various fields from disease classification to drug response identification. The conventional DL method used for images is the Convolutional Neural Network (CNN). A potential method that will replace the usage of CNNs is Transformer specifically Vision Transformers (ViT). This study is a preliminary exploration to determine the performance of using ViT on diseased lungs, COVID-19 infected lungs, and normal lungs. This study was performed on two datasets. The first dataset was a publicly accessible dataset from Iran that has a large cohort of patients. The second dataset was a Malaysian dataset. These images were utilized to verify the usage of ViT and its effectiveness. Images were segregated into several sized patches (16x16, 32x32, 64x64, 128x128, 256x256) pixels. To determine the performance of ViT method, performance metrics of accuracy, sensitivity, specificity, negative predictive value (NPV), positive predictive value (PPV) and F1-score. From the results of this study, ViT is a promising method with a peak accuracy of 95.36%.","PeriodicalId":297399,"journal":{"name":"2021 IEEE National Biomedical Engineering Conference (NBEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128602931","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}

引用次数: 7