Pub Date : 2019-10-01DOI: 10.1109/IBITeC46597.2019.9091682
I. W. Nudra Bajantika Pradivta, A. Arifin, F. Arrofiqi, Takashi Watanabe
Paralysis is a condition that causes the sufferer to be unable to move the leg muscles or hand muscles. However, a paralyzed subject can still use the electrical activity of other intact muscles as a control command for the electric wheelchair. This system includes instrumentation and processing of electromyography (EMG) signal, and interpretation for controlling the wheelchair to move forward, backward, stop, turn left, and turn right. The EMG signal of the Flexor Carpi Radialis muscles was measured and amplified by a designed instrumentation amplifier. Then, the signal was filtered to eliminate noise and maintain the EMG frequency range of 20500 Hz. After filtering, the signal was processed more to produce a linear envelope and hold the maximum value of the envelope of the EMG signal. Interpretation of command from subject was determined by thresholing method to the envelope of the EMG signal. The results of wheelchair navigation with basic movements had an average success rate of 100% of 8 subjects. The test results past the determined track have an average success rate of 95.83% for 3 subjects. It is expected that in the future, the subjects can use the wheelchair with subject’s intention speed.
{"title":"Design of Myoelectric Control Command of Electric Wheelchair as Personal Mobility for Disabled Person","authors":"I. W. Nudra Bajantika Pradivta, A. Arifin, F. Arrofiqi, Takashi Watanabe","doi":"10.1109/IBITeC46597.2019.9091682","DOIUrl":"https://doi.org/10.1109/IBITeC46597.2019.9091682","url":null,"abstract":"Paralysis is a condition that causes the sufferer to be unable to move the leg muscles or hand muscles. However, a paralyzed subject can still use the electrical activity of other intact muscles as a control command for the electric wheelchair. This system includes instrumentation and processing of electromyography (EMG) signal, and interpretation for controlling the wheelchair to move forward, backward, stop, turn left, and turn right. The EMG signal of the Flexor Carpi Radialis muscles was measured and amplified by a designed instrumentation amplifier. Then, the signal was filtered to eliminate noise and maintain the EMG frequency range of 20500 Hz. After filtering, the signal was processed more to produce a linear envelope and hold the maximum value of the envelope of the EMG signal. Interpretation of command from subject was determined by thresholing method to the envelope of the EMG signal. The results of wheelchair navigation with basic movements had an average success rate of 100% of 8 subjects. The test results past the determined track have an average success rate of 95.83% for 3 subjects. It is expected that in the future, the subjects can use the wheelchair with subject’s intention speed.","PeriodicalId":198107,"journal":{"name":"2019 International Biomedical Instrumentation and Technology Conference (IBITeC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128823385","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 : 2019-10-01DOI: 10.1109/IBITeC46597.2019.9091709
T. Igasaki, Arata Shibuta, K. Sakamoto
Motor imagery, which is an image of movement without actual motion, is divided into kinesthetic or visual motor imagery (K/VMI). KMI is known to show brain activities that are closer to those associated with actual movement than VMI. Therefore, it is suggested that KMI is useful for rehabilitation of patients with stroke hemiplegia. The purpose of this study was to evaluate K/VMI using a questionnaire and an event-related desynchronization/synchronization (ERD/S). Eight healthy males (21 to 26 years old) were asked to perform K/VMI or movement execution/observation (ME/O) of the dorsiflexion of the right ankle joint and non-motor imagery (NMI) as tasks. Time-frequency analysis of electroencephalograms of the task was conducted via short-time Fourier transformation. Then, ERD/S (the change rate of the power spectral density compared to the resting state) was calculated. Furthermore, spatiotemporal analysis of ERD/S was performed in the alpha (10 to 13 Hz) and beta (13 to 35 Hz) bands. As a result, it is suggested that K/VMI evaluation using a questionnaire could be achieved from spatiotemporal ERD/S by noting the differences in KMI vs. VMI, KMI vs. ME, and VMI vs. MO.
{"title":"Evaluation of Kinesthetic/Visual Motor Imagery of Dorsiflexion of the Right Ankle Joint via Event-Related Desynchronization/Synchronization","authors":"T. Igasaki, Arata Shibuta, K. Sakamoto","doi":"10.1109/IBITeC46597.2019.9091709","DOIUrl":"https://doi.org/10.1109/IBITeC46597.2019.9091709","url":null,"abstract":"Motor imagery, which is an image of movement without actual motion, is divided into kinesthetic or visual motor imagery (K/VMI). KMI is known to show brain activities that are closer to those associated with actual movement than VMI. Therefore, it is suggested that KMI is useful for rehabilitation of patients with stroke hemiplegia. The purpose of this study was to evaluate K/VMI using a questionnaire and an event-related desynchronization/synchronization (ERD/S). Eight healthy males (21 to 26 years old) were asked to perform K/VMI or movement execution/observation (ME/O) of the dorsiflexion of the right ankle joint and non-motor imagery (NMI) as tasks. Time-frequency analysis of electroencephalograms of the task was conducted via short-time Fourier transformation. Then, ERD/S (the change rate of the power spectral density compared to the resting state) was calculated. Furthermore, spatiotemporal analysis of ERD/S was performed in the alpha (10 to 13 Hz) and beta (13 to 35 Hz) bands. As a result, it is suggested that K/VMI evaluation using a questionnaire could be achieved from spatiotemporal ERD/S by noting the differences in KMI vs. VMI, KMI vs. ME, and VMI vs. MO.","PeriodicalId":198107,"journal":{"name":"2019 International Biomedical Instrumentation and Technology Conference (IBITeC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129261812","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 : 2019-10-01DOI: 10.1109/IBITeC46597.2019.9091712
W. Syafei, Fathia Isralestina, C. E. Widodo
The new WLAN standard IEEE802.11ac provides data rate up to 3.466Gbps by occupying 80MHz of bandwidth and eight spatial streams in modulation coding scheme index 9. However, these multiple streams configuration introduce dense interferences. This paper presents linear and non-linear techniques to cancel the interferences in very high data rate WLAN system. Those techniques were compared in term of performance and complexity. They are not only canceling the interference but also combining the multipath gain to obtain optimal signal to noise ratio. Zero Forcing (ZF) has the lowest complexity and performance. Minimum Mean Square Error (MMSE) considers the noise power to give better performance by low computation complexity. Maximum Likelihood Detection (MLD) gives the best performance by the cost of highest complexity, especially when deals with multiple streams. In the other side, other modern techniques, such as Sphere Detection and K-Best offer near performance to MLD by lower complexity. The comparison of those techniques was conducted under indoor channel model of IEEE802.11n Task Group.
{"title":"Performance Comparison of Linear and Non Linear Interference Cancellation Techniques for 3.466 Gbps WLAN","authors":"W. Syafei, Fathia Isralestina, C. E. Widodo","doi":"10.1109/IBITeC46597.2019.9091712","DOIUrl":"https://doi.org/10.1109/IBITeC46597.2019.9091712","url":null,"abstract":"The new WLAN standard IEEE802.11ac provides data rate up to 3.466Gbps by occupying 80MHz of bandwidth and eight spatial streams in modulation coding scheme index 9. However, these multiple streams configuration introduce dense interferences. This paper presents linear and non-linear techniques to cancel the interferences in very high data rate WLAN system. Those techniques were compared in term of performance and complexity. They are not only canceling the interference but also combining the multipath gain to obtain optimal signal to noise ratio. Zero Forcing (ZF) has the lowest complexity and performance. Minimum Mean Square Error (MMSE) considers the noise power to give better performance by low computation complexity. Maximum Likelihood Detection (MLD) gives the best performance by the cost of highest complexity, especially when deals with multiple streams. In the other side, other modern techniques, such as Sphere Detection and K-Best offer near performance to MLD by lower complexity. The comparison of those techniques was conducted under indoor channel model of IEEE802.11n Task Group.","PeriodicalId":198107,"journal":{"name":"2019 International Biomedical Instrumentation and Technology Conference (IBITeC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116389757","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 : 2019-10-01DOI: 10.1109/IBITeC46597.2019.9091687
Ignatius Luddy Indra Purnama, Alva Edy Tontowi, H. Herianto
Single-slice CT is still widely used in many hospitals because it prolongs the life cycle of the CT device components, especially that of x-ray. Using CT 3D image, it can be very helpful for a doctor in diagnosing medical information. In the development of 3D image reconstruction and computer technology, it is possible for the doctor to communicate with the patient through gadget media. This paper presents the determination of the threshold in single-slice Computerized Tomography (CT) for interactive 3D image reconstruction without user interface. The 3D image reconstruction method is the improved marching cube algorithm. The medical image object that consists of skull bone and sternum-pelvis in Digital Imaging and Communications in Medicine (DICOM) format is taken from single-slice CT. The resulting threshold for bone 3D image object is 200, except for the 3D image with quantity slice less than 10 can not be reconstructed. The difference in the surface volume and surface area between the 3D image reconstruction output from InVesalius software and project, for skull bone and sternum-pelvis is less than 0.5%. The justification of the visual shape match from three radiology doctors for skull bone and sternum-pelvis is approximately 99% match. Processing time to reconstruct the 3D image is around five minutes.
{"title":"3D Image Reconstruction with Single-Slice CT using Improved Marching Cube Algorithm","authors":"Ignatius Luddy Indra Purnama, Alva Edy Tontowi, H. Herianto","doi":"10.1109/IBITeC46597.2019.9091687","DOIUrl":"https://doi.org/10.1109/IBITeC46597.2019.9091687","url":null,"abstract":"Single-slice CT is still widely used in many hospitals because it prolongs the life cycle of the CT device components, especially that of x-ray. Using CT 3D image, it can be very helpful for a doctor in diagnosing medical information. In the development of 3D image reconstruction and computer technology, it is possible for the doctor to communicate with the patient through gadget media. This paper presents the determination of the threshold in single-slice Computerized Tomography (CT) for interactive 3D image reconstruction without user interface. The 3D image reconstruction method is the improved marching cube algorithm. The medical image object that consists of skull bone and sternum-pelvis in Digital Imaging and Communications in Medicine (DICOM) format is taken from single-slice CT. The resulting threshold for bone 3D image object is 200, except for the 3D image with quantity slice less than 10 can not be reconstructed. The difference in the surface volume and surface area between the 3D image reconstruction output from InVesalius software and project, for skull bone and sternum-pelvis is less than 0.5%. The justification of the visual shape match from three radiology doctors for skull bone and sternum-pelvis is approximately 99% match. Processing time to reconstruct the 3D image is around five minutes.","PeriodicalId":198107,"journal":{"name":"2019 International Biomedical Instrumentation and Technology Conference (IBITeC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116500438","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 : 2019-10-01DOI: 10.1109/IBITeC46597.2019.9091683
R. Jaafar, Abdullah Syafiq Abdul Salam
With recent trend of mobile devices being affordable and handy, portable electrocardiography (ECG) composed in smart and compact systems for use in out-of-hospital settings are being made commercially available. Mobile ECG devices are important medical innovation which has high potential to transform to homecare. We performed this review to learn on the current availability of portable ECG mobile technologies with respect to their scope, ease of use, data transmission capabilities, diagnostic accuracy and cloud based features. We conducted and Internet searches for "handheld" or "patch" or "portable" electrocardiography devices to enlist current available technologies. We also searched specific mobile ECG devices to obtain additional citations. We classified available devices as a "single limb lead ECG recording devices" and chest-lead "ECG recording devices." Three electrodes ECG devices also defined as the conventional electrocardiography or Holter machine are excluded from this review. A total of 12 devices have been reviewed and identified as "handheld", "patch" and "portable" with four devices fall into each of the categories. Nine of the reviewed ECG devices have electrode attachment in the chest and the rest are handheld devices. All devices are very lightweight as they weight under 150g and easy to bring everywhere. We concluded that the number of available devices that can record and analyze ECG signals is on the rise. ECG devices with cloud based monitoring and analysis system involves various fields such as sensor technology, communication, software design, signal processing and data mining.
{"title":"Portable electrocardiography with cloud based features: A review of current technologies","authors":"R. Jaafar, Abdullah Syafiq Abdul Salam","doi":"10.1109/IBITeC46597.2019.9091683","DOIUrl":"https://doi.org/10.1109/IBITeC46597.2019.9091683","url":null,"abstract":"With recent trend of mobile devices being affordable and handy, portable electrocardiography (ECG) composed in smart and compact systems for use in out-of-hospital settings are being made commercially available. Mobile ECG devices are important medical innovation which has high potential to transform to homecare. We performed this review to learn on the current availability of portable ECG mobile technologies with respect to their scope, ease of use, data transmission capabilities, diagnostic accuracy and cloud based features. We conducted and Internet searches for \"handheld\" or \"patch\" or \"portable\" electrocardiography devices to enlist current available technologies. We also searched specific mobile ECG devices to obtain additional citations. We classified available devices as a \"single limb lead ECG recording devices\" and chest-lead \"ECG recording devices.\" Three electrodes ECG devices also defined as the conventional electrocardiography or Holter machine are excluded from this review. A total of 12 devices have been reviewed and identified as \"handheld\", \"patch\" and \"portable\" with four devices fall into each of the categories. Nine of the reviewed ECG devices have electrode attachment in the chest and the rest are handheld devices. All devices are very lightweight as they weight under 150g and easy to bring everywhere. We concluded that the number of available devices that can record and analyze ECG signals is on the rise. ECG devices with cloud based monitoring and analysis system involves various fields such as sensor technology, communication, software design, signal processing and data mining.","PeriodicalId":198107,"journal":{"name":"2019 International Biomedical Instrumentation and Technology Conference (IBITeC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134097229","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 : 2019-10-01DOI: 10.1109/IBITeC46597.2019.9091721
A. A. Anthony, P. W. Anggoro, T. Yuniarto, B. Bawono, A. Bayuseno, J. Jamari
Club foot is one of the foot deformities caused by genetic factors. Patients with this characteristic have abnormal foot shape. Daily activities cannot be carried out by patients properly. The most important difficulty is finding shoes as the right footwear, precision and comfortable to use. The number of patients who are not small in Indonesia is an important topic discussed in this paper. Semi-Reverse innovative design (RID) is a Reverse Engineering application with 3D mesh data and able to get the precise and accurate surface contours of the club foot patient. Computer Aided Design (CAD) PowerShape 2019 was used in this paper to get a variation of the design of an orthotic ankle foot insole that fits the club foot patient's foot. The resulting output is in the form of three types of insole designs with geometric error tolerance of 0.08 mm.
{"title":"Semi Reverse Innovative Design of Insole Shoes Orthotic for Patient with Club Foot","authors":"A. A. Anthony, P. W. Anggoro, T. Yuniarto, B. Bawono, A. Bayuseno, J. Jamari","doi":"10.1109/IBITeC46597.2019.9091721","DOIUrl":"https://doi.org/10.1109/IBITeC46597.2019.9091721","url":null,"abstract":"Club foot is one of the foot deformities caused by genetic factors. Patients with this characteristic have abnormal foot shape. Daily activities cannot be carried out by patients properly. The most important difficulty is finding shoes as the right footwear, precision and comfortable to use. The number of patients who are not small in Indonesia is an important topic discussed in this paper. Semi-Reverse innovative design (RID) is a Reverse Engineering application with 3D mesh data and able to get the precise and accurate surface contours of the club foot patient. Computer Aided Design (CAD) PowerShape 2019 was used in this paper to get a variation of the design of an orthotic ankle foot insole that fits the club foot patient's foot. The resulting output is in the form of three types of insole designs with geometric error tolerance of 0.08 mm.","PeriodicalId":198107,"journal":{"name":"2019 International Biomedical Instrumentation and Technology Conference (IBITeC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127831002","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 : 2019-10-01DOI: 10.1109/IBITeC46597.2019.9091717
N. Safri, Raymond Teoh Yong Sheng
Surface electromyography (EMG) is a noninvasive technique to capture muscle electrical activity. For children with special needs such as autism and down syndrome children, their hand muscles have lower muscle tone and weaker coordination. Hence, to improve their weak fine motor skills during their early childhood, an early intervention training system is needed. Previously, a training device with added features of light and sound tools is developed to prolong the attention span of these children when training. This paper aims to analysis EMG signals of these children during the fine motor training using the device. In addition, the attention span of these children during training with the device is compared to the conventional one, i.e. training fine motor with placing wooden block in a wooden peg. Four children with special needs, i.e. two in each autism and down syndrome categories, aged four to eight years old participated in the study. Results were compared with a normal child one. The EMG signal from flexor digitorum superficialis muscle was extracted using DataLOG Biometrics Ltd and stored in computer for further analysis. The normalised amplitude of EMG signal showed that normal child had the least fluctuation in muscle activity during training. All children showed decreased in normalised EMG amplitude at the end of training session compared to earlier one. It is also found that the attention span of children with special needs during fine motor training had increased almost double when using the developed device compared to conventional one.
{"title":"Surface Electromyographic Signals of Special Needs Children during Fine Motor Task","authors":"N. Safri, Raymond Teoh Yong Sheng","doi":"10.1109/IBITeC46597.2019.9091717","DOIUrl":"https://doi.org/10.1109/IBITeC46597.2019.9091717","url":null,"abstract":"Surface electromyography (EMG) is a noninvasive technique to capture muscle electrical activity. For children with special needs such as autism and down syndrome children, their hand muscles have lower muscle tone and weaker coordination. Hence, to improve their weak fine motor skills during their early childhood, an early intervention training system is needed. Previously, a training device with added features of light and sound tools is developed to prolong the attention span of these children when training. This paper aims to analysis EMG signals of these children during the fine motor training using the device. In addition, the attention span of these children during training with the device is compared to the conventional one, i.e. training fine motor with placing wooden block in a wooden peg. Four children with special needs, i.e. two in each autism and down syndrome categories, aged four to eight years old participated in the study. Results were compared with a normal child one. The EMG signal from flexor digitorum superficialis muscle was extracted using DataLOG Biometrics Ltd and stored in computer for further analysis. The normalised amplitude of EMG signal showed that normal child had the least fluctuation in muscle activity during training. All children showed decreased in normalised EMG amplitude at the end of training session compared to earlier one. It is also found that the attention span of children with special needs during fine motor training had increased almost double when using the developed device compared to conventional one.","PeriodicalId":198107,"journal":{"name":"2019 International Biomedical Instrumentation and Technology Conference (IBITeC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125387967","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 : 2019-10-01DOI: 10.1109/IBITeC46597.2019.9091720
Mochamad Arid Irfa’i, D. Dzulkiflih, D. Wulandari, A. Ganda, R. Ismail, A. Bayuseno
The price of imported runner foot prosthesis made of carbon fiber is quite expensive and it is encouraging to look for alternative solutions with the use of hybrid composites reinforced with palm sugar and E Glass fibers. The purpose of this study was to determine the effect of the fiber orientation on the bending strength of hybrid composites reinforced with E Glass and palm sugar fibers with polyester resin. The manufacture of hybrid composites in molds is done by combining palm sugar fibers with E Glass fibers. We used the hand lay-up method with pressing process (press mold) for making the composites. To remove the fiber content of palm fiber, the heating process was dried in an oven at 60° C for 30 minutes. The independent variables in this study are the fiber orientation 0°, 30°, 45°, 60° and 90° The dependent variables in this study are the flexural strength and fracture macro photographs. While the control variables in this study are sugar palm fiber, E Glass fiber, polyester resin and the hand lay-up method. The procedure and testing process for bending test specimens refer to ASTM D 790-02 standards. The results showed that the average flexural strength for fiber orientation of 0°, 30°, 45°, 60° and 90° are 168 MPa, 261 MPa, 231 MPa, 198 MPa and 93 MPa respectively. The highest flexural strength was obtained in hybrid composites with E Glass fiber fibers with 30° fiber orientation (261 MPa), while the lowest flexural strength was obtained at 90° fiber orientation (93 MPa). The results of a macro photo of a hybrid composites reinforced by palm sugar and E Glass fibers show that most of failure caused by fiber pull out and delamination.
由碳纤维制成的进口跑步脚假肢价格相当昂贵，使用棕榈糖和E玻璃纤维增强的混合复合材料寻找替代方案是令人鼓舞的。本研究的目的是确定纤维取向对聚酯树脂增强E玻璃和棕榈糖纤维混杂复合材料抗弯强度的影响。在模具中制造混合复合材料是通过将棕榈糖纤维与E玻璃纤维相结合来完成的。我们采用手铺法与压制工艺(压模)来制作复合材料。为了去除棕榈纤维中的纤维含量，加热过程在60℃的烘箱中干燥30分钟。本研究的自变量为纤维取向0°、30°、45°、60°和90°，因变量为抗弯强度和断裂宏观照片。而本研究的控制变量为糖棕榈纤维、E玻璃纤维、聚酯树脂和手铺法。弯曲试验试样的程序和试验过程参照ASTM D 790-02标准。结果表明:纤维取向为0°、30°、45°、60°和90°时的平均抗弯强度分别为168 MPa、261 MPa、231 MPa、198 MPa和93 MPa;当纤维取向为30°时，E玻璃纤维混杂复合材料的抗弯强度最高(261 MPa)，而当纤维取向为90°时，其抗弯强度最低(93 MPa)。对棕榈糖和E玻璃纤维增强复合材料的微距照片分析结果表明，复合材料的破坏主要是由纤维的拔出和分层引起的。
{"title":"Study of the orientation of Palm Sugar E-Glass hybrid fiber - Polyester composite for Running Prostheses Application","authors":"Mochamad Arid Irfa’i, D. Dzulkiflih, D. Wulandari, A. Ganda, R. Ismail, A. Bayuseno","doi":"10.1109/IBITeC46597.2019.9091720","DOIUrl":"https://doi.org/10.1109/IBITeC46597.2019.9091720","url":null,"abstract":"The price of imported runner foot prosthesis made of carbon fiber is quite expensive and it is encouraging to look for alternative solutions with the use of hybrid composites reinforced with palm sugar and E Glass fibers. The purpose of this study was to determine the effect of the fiber orientation on the bending strength of hybrid composites reinforced with E Glass and palm sugar fibers with polyester resin. The manufacture of hybrid composites in molds is done by combining palm sugar fibers with E Glass fibers. We used the hand lay-up method with pressing process (press mold) for making the composites. To remove the fiber content of palm fiber, the heating process was dried in an oven at 60° C for 30 minutes. The independent variables in this study are the fiber orientation 0°, 30°, 45°, 60° and 90° The dependent variables in this study are the flexural strength and fracture macro photographs. While the control variables in this study are sugar palm fiber, E Glass fiber, polyester resin and the hand lay-up method. The procedure and testing process for bending test specimens refer to ASTM D 790-02 standards. The results showed that the average flexural strength for fiber orientation of 0°, 30°, 45°, 60° and 90° are 168 MPa, 261 MPa, 231 MPa, 198 MPa and 93 MPa respectively. The highest flexural strength was obtained in hybrid composites with E Glass fiber fibers with 30° fiber orientation (261 MPa), while the lowest flexural strength was obtained at 90° fiber orientation (93 MPa). The results of a macro photo of a hybrid composites reinforced by palm sugar and E Glass fibers show that most of failure caused by fiber pull out and delamination.","PeriodicalId":198107,"journal":{"name":"2019 International Biomedical Instrumentation and Technology Conference (IBITeC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122956544","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 : 2019-10-01DOI: 10.1109/IBITeC46597.2019.9091724
A. I. Poernama, I. Soesanti, O. Wahyunggoro
Magnetic Resonance Imaging, or MRI, is one of the safest ways to observe human tissues and organs, like the brain. It causes no radiation and bad effect for the patient. The necessity of early detection of brain tumor leads the researchers to initiate this study. Early detection of a brain tumor can be observed through MRI image results. The brain MRI images are then processed by using 3 major steps, namely image processing, feature extraction and selection, and classification. The feature extraction and selection are one of the important steps that can determine the accuracy of brain MRI images classification in which its result will determine the disease. This paper examines 9 feature extraction and 3 feature selection methods for classification of brain MRI images. Furthermore, it explores the advantages and disadvantages of each method. Both of them are considered in the selection of the best method to be applied in different cases. The summary of each method is presented in a table as supportive evidence. This study shows that Local Binary Pattern combined with GLRL, ZM, PHOG, and GLCM is the best feature extraction method for BRATS dataset with a classification accuracy of 97.1%, while GLDM and GA are the best combinations of feature extraction and selection method for clinical datasets with a classification accuracy of 98%.
{"title":"Feature Extraction and Feature Selection Methods in Classification of Brain MRI Images: A Review","authors":"A. I. Poernama, I. Soesanti, O. Wahyunggoro","doi":"10.1109/IBITeC46597.2019.9091724","DOIUrl":"https://doi.org/10.1109/IBITeC46597.2019.9091724","url":null,"abstract":"Magnetic Resonance Imaging, or MRI, is one of the safest ways to observe human tissues and organs, like the brain. It causes no radiation and bad effect for the patient. The necessity of early detection of brain tumor leads the researchers to initiate this study. Early detection of a brain tumor can be observed through MRI image results. The brain MRI images are then processed by using 3 major steps, namely image processing, feature extraction and selection, and classification. The feature extraction and selection are one of the important steps that can determine the accuracy of brain MRI images classification in which its result will determine the disease. This paper examines 9 feature extraction and 3 feature selection methods for classification of brain MRI images. Furthermore, it explores the advantages and disadvantages of each method. Both of them are considered in the selection of the best method to be applied in different cases. The summary of each method is presented in a table as supportive evidence. This study shows that Local Binary Pattern combined with GLRL, ZM, PHOG, and GLCM is the best feature extraction method for BRATS dataset with a classification accuracy of 97.1%, while GLDM and GA are the best combinations of feature extraction and selection method for clinical datasets with a classification accuracy of 98%.","PeriodicalId":198107,"journal":{"name":"2019 International Biomedical Instrumentation and Technology Conference (IBITeC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116830531","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 : 2019-10-01DOI: 10.1109/IBITeC46597.2019.9091686
A. Putra, Illiyin Faradisa, D. Hikmawati, Siswanto.
Patients with osteoporosis in the world reached 9 million cases. The treatment for this case nowadays was using oral medication and therapy. The recent development to treat osteoporosis used injectable bone substitute. This study focused on synthesis and characterization of injectable bone substitute based on hydroxyapatite and gelatin with the addition of alendronate on various substrate. The synthesis was started by mixing hydroxyapatite, 2% (w/v) gelatin, 10% alendronate and 2% (w/v) hydroxypropyl methylcellulose to form a suspension. The substrates used in this study were HA, HA-SBF, HA-GEL, and HA-GEL-SBF. The setting time test showed that the addition of alendronate could increase the time of setting from 240-420 min in original substrate to 179-251 min in the other substrates. The density and porosity increased in all substrates which were 0.074-0.132 gr/cm3 and 28-40% for density and porosity, respectively. The pore size was 229.2-578.6 μm from morphology test. The compressive stress of the substrate increased to 1.56-3.24 MPa which was a good mechanical properties compared to compressive strength of human spine which was 0.5-50 MPa.
{"title":"The Effect of Hydroxyapatite-Gelatin Composite with Alendronate as Injectable Bone Substitute on Various Hydroxyapatite-Based Substrate","authors":"A. Putra, Illiyin Faradisa, D. Hikmawati, Siswanto.","doi":"10.1109/IBITeC46597.2019.9091686","DOIUrl":"https://doi.org/10.1109/IBITeC46597.2019.9091686","url":null,"abstract":"Patients with osteoporosis in the world reached 9 million cases. The treatment for this case nowadays was using oral medication and therapy. The recent development to treat osteoporosis used injectable bone substitute. This study focused on synthesis and characterization of injectable bone substitute based on hydroxyapatite and gelatin with the addition of alendronate on various substrate. The synthesis was started by mixing hydroxyapatite, 2% (w/v) gelatin, 10% alendronate and 2% (w/v) hydroxypropyl methylcellulose to form a suspension. The substrates used in this study were HA, HA-SBF, HA-GEL, and HA-GEL-SBF. The setting time test showed that the addition of alendronate could increase the time of setting from 240-420 min in original substrate to 179-251 min in the other substrates. The density and porosity increased in all substrates which were 0.074-0.132 gr/cm3 and 28-40% for density and porosity, respectively. The pore size was 229.2-578.6 μm from morphology test. The compressive stress of the substrate increased to 1.56-3.24 MPa which was a good mechanical properties compared to compressive strength of human spine which was 0.5-50 MPa.","PeriodicalId":198107,"journal":{"name":"2019 International Biomedical Instrumentation and Technology Conference (IBITeC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128338716","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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