2021 IEEE National Biomedical Engineering Conference (NBEC)最新文献_第2页

Analyzing the Texture of Nakagami Parametric Images for Classification of Breast Cancer 用于乳腺癌分类的Nakagami参数图像纹理分析

2021 IEEE National Biomedical Engineering Conference (NBEC) Pub Date : 2021-11-09 DOI: 10.1109/nbec53282.2021.9618762

Sabiq Muhtadi, A. Chowdhury, Rezwana R Razzaque, Ahmad Shafiullah

引用次数: 2

Investigation on Properties of Capnogram: On Stationarity and Spectral Components of the Signal 图的性质研究——关于信号的平稳性和谱分量

2021 IEEE National Biomedical Engineering Conference (NBEC) Pub Date : 2021-11-09 DOI: 10.1109/nbec53282.2021.9618746

Mushikiwabeza Alexie, M. Malarvili

{"title":"Investigation on Properties of Capnogram: On Stationarity and Spectral Components of the Signal","authors":"Mushikiwabeza Alexie, M. Malarvili","doi":"10.1109/nbec53282.2021.9618746","DOIUrl":"https://doi.org/10.1109/nbec53282.2021.9618746","url":null,"abstract":"Capnography provides a graphical representation of the CO$_{mathbf{2}}$ concentration in the exhaled gases. There are different methods that are used to extract time domain features of capnogram. However, those methods are manual and only suitable for normal and asthmatic capnograms. Frequency domain method is mostly used to analyze physiological signals, by assuming that those signals are stationary. Note that numerous physiological phenomena are characterized by dynamical properties. Identifying the nature of the signal is a preliminary stage which can enable to select suitable signal processing method. In this study, stationarity of capnogram signal was tested by analyzing statistical characteristics of the time series of the carbon dioxide samples recorded from normal subjects, and patients with complaint of asthma, chronic obstructive pulmonary disease, and pulmonary edema. Analysis of the spectral components of capnogram was performed using Fourier transform. The results show that there is a slight change in the statistical properties of the time series. Suggesting that capnogram can be considered as a quasi-stationary signal. Besides, analysis of capnogram based on the number of main lobes and side lobes can help to examine how changes in the spectral properties of capnogram relates to the respiratory status of the person, which can subsequentially help to discriminate normal from abnormal capnograms, and thus classify different respiratory diseases. This study may provide the key insight while identifying the proper signal processing method to analyze capnogram waveform.","PeriodicalId":297399,"journal":{"name":"2021 IEEE National Biomedical Engineering Conference (NBEC)","volume":"55 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":"134348526","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: 0

An Explainable AI powered Early Warning System to address Patient Readmission Risk 一个可解释的人工智能驱动的早期预警系统，以解决患者再入院风险

2021 IEEE National Biomedical Engineering Conference (NBEC) Pub Date : 2021-11-09 DOI: 10.1109/nbec53282.2021.9618766

Tanusree De, Ahmeduvesh Mevawala, Ramyasri Nemani

{"title":"An Explainable AI powered Early Warning System to address Patient Readmission Risk","authors":"Tanusree De, Ahmeduvesh Mevawala, Ramyasri Nemani","doi":"10.1109/nbec53282.2021.9618766","DOIUrl":"https://doi.org/10.1109/nbec53282.2021.9618766","url":null,"abstract":"Hospital readmission is undesirable for all the involved parties, the patient, the hospital and the insurer. Readmission put patients at-risk for hospital acquired infections, medical errors and unfavorable outcomes. For hospitals, it leads to a gradual increase in operating expenses. For payers, readmission means additional cost. So, predicting the possibility of patient readmission is very critical and highly relevant for all the parties involved. There are powerful machine learning algorithms, like Random Forest, XGBoost, Neural Net that can be used to develop the predictive model to predict the probability of patient readmission. However, these models are all black box; they can give the prediction with high accuracy; however, they do not explain how they arrived at the prediction. Herein comes the role of Explainable AI. In this paper, we have developed a novel model-specific local explanation methodology to derive explanation at an individual patient level, considering the inner learning process of a Random-Forest model. The derived explanations from proposed methodology are human-interpretable irrespective of the complexities of the underlying Random-Forest model and the explanations provide guidance to the doctor for prescribing the necessary remedy to the patient to prevent him/her from readmission within thirty days of discharge.","PeriodicalId":297399,"journal":{"name":"2021 IEEE National Biomedical Engineering Conference (NBEC)","volume":"51 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":"133907062","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: 0

Design and analysis of interbody fusion cage materials based on finite element analysis 基于有限元分析的椎间融合笼材料设计与分析

2021 IEEE National Biomedical Engineering Conference (NBEC) Pub Date : 2021-11-09 DOI: 10.1109/nbec53282.2021.9618720

N. Nizam, M. Mazlan, N. Salleh, Muhammad Anas Razali, A. H. Abdullah, M. H. Jalil, H. Takano, Nur Dalilah Diyana Nordin

{"title":"Design and analysis of interbody fusion cage materials based on finite element analysis","authors":"N. Nizam, M. Mazlan, N. Salleh, Muhammad Anas Razali, A. H. Abdullah, M. H. Jalil, H. Takano, Nur Dalilah Diyana Nordin","doi":"10.1109/nbec53282.2021.9618720","DOIUrl":"https://doi.org/10.1109/nbec53282.2021.9618720","url":null,"abstract":"This study investigates the effect of the Posterior Lumbar Interbody Fusion (PLIF) cage’s material on the strength and stability of the cage. The lumbar vertebrae L2-L3 unit finite element model was developed from computed tomography (CT) scan images in 3D Slicer software. The PLIF cage model was constructed using Solidworks software. The models were assigned with polyetheretherketone (PEEK) and polylactic acid (PLA) materials. The models were implanted and analyzed in Ansys Workbench Software by applying external preload, compression load and other load conditions to mimic the spine physiological motions under static and dynamic analysis. The von Mises stress and maximum principal stress were observed and analyzed to evaluate their strength and stability. In addition, the percentage differences between the von Mises stress and yield strength of the material and between the maximum principal stress and critical strength of the material were calculated. The PEEK cage produced higher von Mises stresses than the PLA cage for the static analysis. However, the PEEK cage exhibited lower percentage differences than the PLA cage. This result indicates that the PEEK cage has the superior structural integrity to the PLA interbody cage. The results from the dynamic analysis showed that both cages exhibited extremely low von Mises stresses and similar curve patterns. These results indicate that both cages are stable and do not pose harmful health implications. Thus, PLA can be considered an alternative material for the cage because it is more cost-effective than the PEEK material, and stresses generated were far lower than the ultimate tensile strength and yield strength of the material.","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":"129083371","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

P300 Somatosensory Validation of Vibrotactile Haptic Feedback for Upper Limb Prosthesis P300上肢假体振动触觉反馈的体感验证

2021 IEEE National Biomedical Engineering Conference (NBEC) Pub Date : 2021-11-09 DOI: 10.1109/nbec53282.2021.9618709

Nur Amalina Has, M. N. Jamaludin, Sujana Mohd Rejab, Zulkifli Ahmad, Nurul Farha Zainuddin, A. H. Abdul Salam, Chu Ai Reen, M. A. As’ari

{"title":"P300 Somatosensory Validation of Vibrotactile Haptic Feedback for Upper Limb Prosthesis","authors":"Nur Amalina Has, M. N. Jamaludin, Sujana Mohd Rejab, Zulkifli Ahmad, Nurul Farha Zainuddin, A. H. Abdul Salam, Chu Ai Reen, M. A. As’ari","doi":"10.1109/nbec53282.2021.9618709","DOIUrl":"https://doi.org/10.1109/nbec53282.2021.9618709","url":null,"abstract":"Haptic sensation research based on the event’s related potential (ERP) has been carried out extensively in order to help amputees to be able feel and control their prosthetic hand. Clinically, somatosensory evoked potential is suggested in the pain-related evoked potential and able to control a computer using a brain to computer interface system called BCI. Somatosensory response can be evoked by tactile vibrators whether it is directly and indirect contact with skin. Somatosensory evoked potential has been reported to have lower signal to noise ratio compared to the common visual evoked potential. P300 based on somatosensory evoked potential were discovered as a benchmark that a person will generate P300 whenever decision making as simple as lift their finger take place. The aim of this paper is to identify the best location of the upper limb for tactile haptic placement and investigating whether the vibration motor haptic tactile setup reflect on the P300 somatosensory response from encephalography recordings. Results show that most of the subjects correctly guesses during upper arm position of haptic tactile feedback than the lower arm position. The vibration motor haptic tactile feedback setup was validated via experiment with mental task in order to elicit P300 somatosensory event related potential (ERP).","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":"129431085","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: 0

Development of Hip Implant: Gait Study and Finite Element Analysis 髋关节植入物的发展:步态研究和有限元分析

2021 IEEE National Biomedical Engineering Conference (NBEC) Pub Date : 2021-11-09 DOI: 10.1109/nbec53282.2021.9618708

Iman Nur Alissa Md Rosli, S. Shuib, A. Shokri, A. Ghani, Najwa Syakirah Hamizan, Iffa Mohd Arrif

{"title":"Development of Hip Implant: Gait Study and Finite Element Analysis","authors":"Iman Nur Alissa Md Rosli, S. Shuib, A. Shokri, A. Ghani, Najwa Syakirah Hamizan, Iffa Mohd Arrif","doi":"10.1109/nbec53282.2021.9618708","DOIUrl":"https://doi.org/10.1109/nbec53282.2021.9618708","url":null,"abstract":"The hip joint gives stability to the whole human structure making it an important part of the human body that provides the ability to carry out various everyday work such as walking and running. Although hip joint replacement is commonly and successfully performed, an increased number of younger and active patients widens the range of motion of patients leading to the need for a longer lifetime of the replacement joint. This matter puts a challenge to the orthopedic surgical procedures that is needed to be overcome. This paper studies the effect of gait activity and loading acting across the joint by using Finite Element Analysis (FEA) to evaluate the total deformation and von Mises stress distribution of the hip implant. Alongside, structural analysis is conducted to evaluate a better implant design that has less stress distribution which is lesser than its yielded strength to avoid implant failure. FEA was performed using Computer-Aided Engineering (CAE) software of ANSYS by static structural analysis to study the mechanical behaviors of 3-dimensional hip implant models with the femoral design being loaded with forces ranging from 2.5 to 6.4 kN. Obtained results show von Mises stress distribution ranging from 400-1000 MPa of different gait activities, most cases are notably lower than the yield stress value of titanium alloy, Ti-6Al-4V (860 MPa). This work revealed the critical stress concentration located on the hip implant by numerical analysis with lesser stress values than the yielded strength that offers to improve optimization of implant design and life expectancy to avoid the hip implant revision in active patients.","PeriodicalId":297399,"journal":{"name":"2021 IEEE National Biomedical Engineering Conference (NBEC)","volume":"119 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":"126454289","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: 0

Association of Hand Grip and Pinch Strength Reading with Nutritional Health Status Among Orang Asli in Perak, Malaysia 马来西亚霹雳州原住民的握力和握力读数与营养健康状况的关系

2021 IEEE National Biomedical Engineering Conference (NBEC) Pub Date : 2021-11-09 DOI: 10.1109/nbec53282.2021.9618765

S. Usman, F. Rusli, N. Noor, S. A. M. Aris, M. N. Muhtazaruddin, Sharifah Alwiah Syed Abd Rahman, N. Bani

引用次数: 0

Relationship of Backpack Weight Towards Risk Factor for Scoliosis Among Primary School Children in Pahang, Malaysia 背包重量与马来西亚彭亨市小学生脊柱侧凸危险因素的关系

2021 IEEE National Biomedical Engineering Conference (NBEC) Pub Date : 2021-11-09 DOI: 10.1109/nbec53282.2021.9618722

Ahmad Aizat Che Rahmat, S. A. Jalil, Sharifah Alwiah Syed Abd Rahman, S. Usman

引用次数: 1

Frequency Detection Of Hand Tremors Using Customized Accelerometer 基于定制加速度计的手部振动频率检测

2021 IEEE National Biomedical Engineering Conference (NBEC) Pub Date : 2021-11-09 DOI: 10.1109/nbec53282.2021.9618761

A. Al-Kazwini, Ahmad Halilah, Aeshah Hendi, Ibrahim Al-Saeed, Abdullah Al-Azamat, W. Al-Zyoud

{"title":"Frequency Detection Of Hand Tremors Using Customized Accelerometer","authors":"A. Al-Kazwini, Ahmad Halilah, Aeshah Hendi, Ibrahim Al-Saeed, Abdullah Al-Azamat, W. Al-Zyoud","doi":"10.1109/nbec53282.2021.9618761","DOIUrl":"https://doi.org/10.1109/nbec53282.2021.9618761","url":null,"abstract":"Tremor can be defined as involuntary, rhythmic muscle contraction involving movements of one or more body parts, e.g. hands, arms, head, face, voice, trunk, and legs. This work aims to measure the frequency of hand tremors using a customized, reasonably accurate method to monitor the severity of tremors and reach a point where building hand tremors stabilizing system is possible to allow patients to overcome this problem. The data in this work was collected using an accelerometer attached to the patient’s index finger as it is involved in important daily life activities such as writing. The signal was obtained using a microcontroller and an Arduino Mega and has been processed using MATLAB software from Math Works, combined with an open-source Arduino Software, an Integrated Development Environment (IDE). The proposed method was applied to 30 patients with hand tremors from various diseases compared with a normal person as a source for a normal signal. The maximum frequency of hand tremors was around 7 Hz, which is in agreement with previous studies. We conclude that this technique can handle and measure very low tremor frequencies, which can be utilized in the future for building a tremor stabilizing device.","PeriodicalId":297399,"journal":{"name":"2021 IEEE National Biomedical Engineering Conference (NBEC)","volume":"38 2 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":"131911247","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: 0

Automated Paralysis Patient Monitoring System 自动麻痹病人监测系统

2021 IEEE National Biomedical Engineering Conference (NBEC) Pub Date : 2021-11-09 DOI: 10.1109/nbec53282.2021.9618721

M. Vijay Kumar, Kaythry Pandurangan, R. Vinu

引用次数: 0