Alfian Pramudita Putra, K. Nisa, Dita Ayu Mayasari
The meniscus is a part of the knee joint consisting of a medial and lateral component between the femoral condyles and the tibial plateau. Meniscal tears usually happen in younger and active people due to sports or daily activities. Some approaches are chosen for meniscus replacement and regeneration from the problems above, such as meniscal repair, meniscal allograft transplantation, gene therapy techniques, and tissue engineering techniques. Biomaterials and tissue engineering have a primary role in meniscus regeneration and replacement. The cell-material interactions are influenced by the biomaterials' design, structure, and composition to promote the growth o meniscus tissue. This study aims to give a brief review of the cell-material interaction in the replacement and regeneration process of the meniscus. Based on several studies, the use of growth factors in the meniscal regeneration and replacement could modulate and promote angiogenesis, differentiation, and cell migration beneficial in the repair process of the meniscus. Furthermore, combining the Mesenchymal Stem Cells and growth factors in healing the meniscal tears could be one of the best approaches to obtaining the new tissue resembling the meniscal tissue. The follow-up and long-term studies in meniscus regeneration and replacement are needed and recommended, especially implanting with good chondroprotective and long-term evaluation to obtain the best properties similar to the natural meniscus.
{"title":"The Cell-Material Interaction in the Replacement and Regeneration of the Meniscus: A Mini-Review","authors":"Alfian Pramudita Putra, K. Nisa, Dita Ayu Mayasari","doi":"10.4028/p-hfdp46","DOIUrl":"https://doi.org/10.4028/p-hfdp46","url":null,"abstract":"The meniscus is a part of the knee joint consisting of a medial and lateral component between the femoral condyles and the tibial plateau. Meniscal tears usually happen in younger and active people due to sports or daily activities. Some approaches are chosen for meniscus replacement and regeneration from the problems above, such as meniscal repair, meniscal allograft transplantation, gene therapy techniques, and tissue engineering techniques. Biomaterials and tissue engineering have a primary role in meniscus regeneration and replacement. The cell-material interactions are influenced by the biomaterials' design, structure, and composition to promote the growth o meniscus tissue. This study aims to give a brief review of the cell-material interaction in the replacement and regeneration process of the meniscus. Based on several studies, the use of growth factors in the meniscal regeneration and replacement could modulate and promote angiogenesis, differentiation, and cell migration beneficial in the repair process of the meniscus. Furthermore, combining the Mesenchymal Stem Cells and growth factors in healing the meniscal tears could be one of the best approaches to obtaining the new tissue resembling the meniscal tissue. The follow-up and long-term studies in meniscus regeneration and replacement are needed and recommended, especially implanting with good chondroprotective and long-term evaluation to obtain the best properties similar to the natural meniscus.","PeriodicalId":15161,"journal":{"name":"Journal of Biomimetics, Biomaterials and Biomedical Engineering","volume":"55 1","pages":"56 - 67"},"PeriodicalIF":0.7,"publicationDate":"2022-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48054407","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}
An acoustic stethoscope is used to monitor the patient's heart sounds. Stethoscope generally serves as a medium for detecting pathogens in patients. Many studies on digital stethoscopes use condenser microphones to detect heart sound signals whether using wireless systems or not. The purpose of this study was to compare the performance of low-cost stethoscopes with two Bluetooth types of HC05, and HC06, in which researchers evaluated the amount of data transmitted, baud rate, and different distances via wireless transmission to facilitate the diagnosis of medical personnel. process to the patient. There is no reduction in the function of the device so doctors can still see pathogen signals from patients even at a distance. The system is built by transmitting data via Bluetooth and the signal is displayed and recorded on a personal computer. The statistical comparison of the two types of Bluetooth between types HC05 and HC06 obtained test results p > 0.05 which indicates that there is no significant difference between the results of sending hc05 and HC06 using baud levels of 9600, 38400, and 115200. However, data loss in trials using HC-06 in terms of biosignals can be detrimental to the patient because it eliminates the patient's heart sound information data. In this study, it can be considered that the use of HC05 is better than HC06.
{"title":"Comparison of Bluetooth Performance for Low-Cost Wireless Stethoscope Implementation in Terms of Data Loss","authors":"Sumber, Endang Dian Setioningsih, Torib Hamzah","doi":"10.4028/p-omty2h","DOIUrl":"https://doi.org/10.4028/p-omty2h","url":null,"abstract":"An acoustic stethoscope is used to monitor the patient's heart sounds. Stethoscope generally serves as a medium for detecting pathogens in patients. Many studies on digital stethoscopes use condenser microphones to detect heart sound signals whether using wireless systems or not. The purpose of this study was to compare the performance of low-cost stethoscopes with two Bluetooth types of HC05, and HC06, in which researchers evaluated the amount of data transmitted, baud rate, and different distances via wireless transmission to facilitate the diagnosis of medical personnel. process to the patient. There is no reduction in the function of the device so doctors can still see pathogen signals from patients even at a distance. The system is built by transmitting data via Bluetooth and the signal is displayed and recorded on a personal computer. The statistical comparison of the two types of Bluetooth between types HC05 and HC06 obtained test results p > 0.05 which indicates that there is no significant difference between the results of sending hc05 and HC06 using baud levels of 9600, 38400, and 115200. However, data loss in trials using HC-06 in terms of biosignals can be detrimental to the patient because it eliminates the patient's heart sound information data. In this study, it can be considered that the use of HC05 is better than HC06.","PeriodicalId":15161,"journal":{"name":"Journal of Biomimetics, Biomaterials and Biomedical Engineering","volume":"55 1","pages":"288 - 299"},"PeriodicalIF":0.7,"publicationDate":"2022-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44132734","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}
In Indonesia, motorcycle traffic accidents have increased rapidly. Traffic accidents result in high mortality. One of the causes is influenced by human psychological factors or human error. However, to improve the behavior of the riders and due reducing traffic accidents, the purpose of this research is developed a Smart Helmet that can detect drowsiness by measuring the heartbeats psychological riders. Besides that, this system equipped with an SOS button. Its function is to detect and help the riders if there were any emergency incidents on the roads. This proposed system designed using a heartbeat pulse sensor, GPS module, GSM module, Arduino Nano, push-button, and buzzer. Smart Helmet examined in several scenarios to test the performance of the drowsiness and the SOS button. The resulting test on 10 respondents defined that the drowsiness can be detected and give a buzzer alert when the heartbeat is below 60 bpm. The information can be seen without delay. The incident location can be tracked down by utilizing the google maps application. The shift position as the error distance of the GPS incident location only happens in the range of 21.96-42.63 meters. The conclusion is the helmet can detect drowsiness based on heartrate and give an alarm. The SOS button is functionally properly as long as the helmet is used in the outdoor area.
{"title":"Smart Helmet GPS-Based for Heartbeat Drowsiness Detection and Location Tracking","authors":"Fahrurrasyid, Gita Hapsari, Lisda Meisaroh, Giva Andriana Mutiara","doi":"10.4028/p-wk322k","DOIUrl":"https://doi.org/10.4028/p-wk322k","url":null,"abstract":"In Indonesia, motorcycle traffic accidents have increased rapidly. Traffic accidents result in high mortality. One of the causes is influenced by human psychological factors or human error. However, to improve the behavior of the riders and due reducing traffic accidents, the purpose of this research is developed a Smart Helmet that can detect drowsiness by measuring the heartbeats psychological riders. Besides that, this system equipped with an SOS button. Its function is to detect and help the riders if there were any emergency incidents on the roads. This proposed system designed using a heartbeat pulse sensor, GPS module, GSM module, Arduino Nano, push-button, and buzzer. Smart Helmet examined in several scenarios to test the performance of the drowsiness and the SOS button. The resulting test on 10 respondents defined that the drowsiness can be detected and give a buzzer alert when the heartbeat is below 60 bpm. The information can be seen without delay. The incident location can be tracked down by utilizing the google maps application. The shift position as the error distance of the GPS incident location only happens in the range of 21.96-42.63 meters. The conclusion is the helmet can detect drowsiness based on heartrate and give an alarm. The SOS button is functionally properly as long as the helmet is used in the outdoor area.","PeriodicalId":15161,"journal":{"name":"Journal of Biomimetics, Biomaterials and Biomedical Engineering","volume":"55 1","pages":"226 - 235"},"PeriodicalIF":0.7,"publicationDate":"2022-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43903621","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}
Triwiyanto Triwiyanto, Endro Yulianto, Sari Luthfiyah, S. D. Musvika, Anita Miftahul Maghfiroh, M. R. Mak'ruf, D. Titisari, S.B. Ichwan
The choice of using speech to control the exoskeleton is based on the number of exoskeletons that are controlled using the EMG signal, where the EMG signal itself has the weakness of the complexity of the signal which is influenced by the position of the electrodes, as well as muscle fatigue. The purpose of this research is to develop an exoskeleton device using voice control based on embedded machine learning on a Raspberry Pi minicomputer. In this study, two feature extraction types namely mel-frequency cepstral coefficient (MFCC) and zero-crossing (ZC), and two machine learning algorithms, namely K-nearest Neighbor (K-NN) and Decision Tree (DT) were evaluated. The hand exoskeleton development consists of 3D hand design, microphone, Raspberry Pi 4B+, PCA9685 servo driver, and servo motor. Microphone was used to record voice commands given. After model evaluation, it was found that the MFCC extraction combined with the K-NN algorithm and the best accuracy (96±7.0%). In the implementation, we found that the accuracy is 79±14.46% and 90±14.14% for open and close commands.
{"title":"Hand Exoskeleton Development Based on Voice Recognition Using Embedded Machine Learning on Raspberry Pi","authors":"Triwiyanto Triwiyanto, Endro Yulianto, Sari Luthfiyah, S. D. Musvika, Anita Miftahul Maghfiroh, M. R. Mak'ruf, D. Titisari, S.B. Ichwan","doi":"10.4028/p-ghjg94","DOIUrl":"https://doi.org/10.4028/p-ghjg94","url":null,"abstract":"The choice of using speech to control the exoskeleton is based on the number of exoskeletons that are controlled using the EMG signal, where the EMG signal itself has the weakness of the complexity of the signal which is influenced by the position of the electrodes, as well as muscle fatigue. The purpose of this research is to develop an exoskeleton device using voice control based on embedded machine learning on a Raspberry Pi minicomputer. In this study, two feature extraction types namely mel-frequency cepstral coefficient (MFCC) and zero-crossing (ZC), and two machine learning algorithms, namely K-nearest Neighbor (K-NN) and Decision Tree (DT) were evaluated. The hand exoskeleton development consists of 3D hand design, microphone, Raspberry Pi 4B+, PCA9685 servo driver, and servo motor. Microphone was used to record voice commands given. After model evaluation, it was found that the MFCC extraction combined with the K-NN algorithm and the best accuracy (96±7.0%). In the implementation, we found that the accuracy is 79±14.46% and 90±14.14% for open and close commands.","PeriodicalId":15161,"journal":{"name":"Journal of Biomimetics, Biomaterials and Biomedical Engineering","volume":"55 1","pages":"81 - 92"},"PeriodicalIF":0.7,"publicationDate":"2022-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43958023","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}
Achmad Rizal, W. Priharti, Dien Rahmawati, Husneni Mukhtar
Crackles is one of the types of adventitious lung sound heard in patients with interstitial pulmonary fibrosis or cystic fibrosis. Pulmonary crackles of discontinuous short duration appear on inspiration, expiration, or both. To differentiate these pulmonary crackles, the medical staff usually uses a manual method, called auscultation. Various methods were developed to recognize pulmonary crackles and distinguish them from normal pulmonary sounds to be applied in digital signal processing technology. This paper demonstrates a feature extraction method to classify pulmonary crackle and normal lung sounds using Support Vector Machine (SVM) method using several kernels by performing spectrograms of the pulmonary sound to generate the frequency profile. Spectrograms with various resolutions and 3-fold cross-validation were used to divide the training data and the test data in the testing process. The resulting accuracy ranges from 81.4% - 100%. More accuracy values of 100% are generated by a feature extraction in several SVM kernels using 256 points FFT with three variations of windowing parameters compared to 512 points, where the best accuracy of 100% was produced by STFT-SVM method. This method has a potential to be used in the classification of other biomedical signals. The advantages of that are that the number of features produced is the same as the N-point FFT used for any signal length, the flexibility in the STFT parameters changes, such as the type of window and the window's length. In this study, only the Keiser window was tested with specific parameters. Exploration with different window types with various parameters is fascinating to do in further research.
{"title":"Classification of Pulmonary Crackle and Normal Lung Sound Using Spectrogram and Support Vector Machine","authors":"Achmad Rizal, W. Priharti, Dien Rahmawati, Husneni Mukhtar","doi":"10.4028/p-tf63b7","DOIUrl":"https://doi.org/10.4028/p-tf63b7","url":null,"abstract":"Crackles is one of the types of adventitious lung sound heard in patients with interstitial pulmonary fibrosis or cystic fibrosis. Pulmonary crackles of discontinuous short duration appear on inspiration, expiration, or both. To differentiate these pulmonary crackles, the medical staff usually uses a manual method, called auscultation. Various methods were developed to recognize pulmonary crackles and distinguish them from normal pulmonary sounds to be applied in digital signal processing technology. This paper demonstrates a feature extraction method to classify pulmonary crackle and normal lung sounds using Support Vector Machine (SVM) method using several kernels by performing spectrograms of the pulmonary sound to generate the frequency profile. Spectrograms with various resolutions and 3-fold cross-validation were used to divide the training data and the test data in the testing process. The resulting accuracy ranges from 81.4% - 100%. More accuracy values of 100% are generated by a feature extraction in several SVM kernels using 256 points FFT with three variations of windowing parameters compared to 512 points, where the best accuracy of 100% was produced by STFT-SVM method. This method has a potential to be used in the classification of other biomedical signals. The advantages of that are that the number of features produced is the same as the N-point FFT used for any signal length, the flexibility in the STFT parameters changes, such as the type of window and the window's length. In this study, only the Keiser window was tested with specific parameters. Exploration with different window types with various parameters is fascinating to do in further research.","PeriodicalId":15161,"journal":{"name":"Journal of Biomimetics, Biomaterials and Biomedical Engineering","volume":"55 1","pages":"143 - 153"},"PeriodicalIF":0.7,"publicationDate":"2022-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46255428","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}
S. A. Rasyid, Sugireng, Nurnaningsih, Sanatang, Suwarny
Dengue Hemorrhagic Fever is one of the diseases that widely damages people; this disease is always found in tropical and subtropical regions, especially in Southeast Asia, Africa, and North Amerika [1]
登革出血热是广泛危害人类的疾病之一;本病常见于热带和亚热带地区，特别是东南亚、非洲和北美洲
{"title":"Dengue Virus Detection in Dengue Hemorrhagic Fever Patients Using the NS1 Antigen-Based Test with Immunochromatography and SDS-Page Methods in the Regional General Hospital of Kendari City","authors":"S. A. Rasyid, Sugireng, Nurnaningsih, Sanatang, Suwarny","doi":"10.4028/p-3zkax3","DOIUrl":"https://doi.org/10.4028/p-3zkax3","url":null,"abstract":"Dengue Hemorrhagic Fever is one of the diseases that widely damages people; this disease is always found in tropical and subtropical regions, especially in Southeast Asia, Africa, and North Amerika [1]","PeriodicalId":15161,"journal":{"name":"Journal of Biomimetics, Biomaterials and Biomedical Engineering","volume":"55 1","pages":"3 - 10"},"PeriodicalIF":0.7,"publicationDate":"2022-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47126056","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}
Nuclear medicine is a medical science that utilizes radionuclide with gamma ray radiation energy to ionizing the patient’s object either aimed for diagnostic imaging or cancer therapy. Total number of nuclear medicine facilities in Indonesia is 17 hospitals. Unfortunately, there are only 10 hospitals that actively carrying out nuclear medicine services. In order to support the Indonesia cancer management commitment program, the Ministry of Health urges the nuclear medicine facility in Indonesia need to be improved both the quality and facility’s requirement. The standard of nuclear medicine facility services in Indonesia is regulated by the Ministry of Health decree number 008/ MENKES/SK/I/2009, yet unfortunately it has not regulated any specified facility’s technical requirements including layout design, mechanical and electrical aspects. Hence, in this research, we conducted a literature review on the nuclear medicine service facilities’ requirements, referring to the Ministry of Health, the Indonesia Nuclear Energy Agency, and the International Health Facility Guidelines. We conducted thoroughly field observations in ten nuclear medicine facilities in Indonesia to propose the technical requirements and room’s layout design recommendations for nuclear medicine facility in Indonesia. In conclusion of this investigation, the availability of room, utility and instrumentation of nuclear medicine in Indonesia mostly meet the International guidelines, except the room construction aspect. Therefore, our study will promote this shortcoming to fulfill the facility’s requirement recommendation in new regulation of nuclear medicine facilities in Indonesia in the near future for the sake of better patients’ and healthworkers’ safety.
{"title":"Nuclear Medicine Facility Design in Indonesia Based on National Regulation and International Guidelines","authors":"A. Mayani, Basari","doi":"10.4028/p-zo9y4u","DOIUrl":"https://doi.org/10.4028/p-zo9y4u","url":null,"abstract":"Nuclear medicine is a medical science that utilizes radionuclide with gamma ray radiation energy to ionizing the patient’s object either aimed for diagnostic imaging or cancer therapy. Total number of nuclear medicine facilities in Indonesia is 17 hospitals. Unfortunately, there are only 10 hospitals that actively carrying out nuclear medicine services. In order to support the Indonesia cancer management commitment program, the Ministry of Health urges the nuclear medicine facility in Indonesia need to be improved both the quality and facility’s requirement. The standard of nuclear medicine facility services in Indonesia is regulated by the Ministry of Health decree number 008/ MENKES/SK/I/2009, yet unfortunately it has not regulated any specified facility’s technical requirements including layout design, mechanical and electrical aspects. Hence, in this research, we conducted a literature review on the nuclear medicine service facilities’ requirements, referring to the Ministry of Health, the Indonesia Nuclear Energy Agency, and the International Health Facility Guidelines. We conducted thoroughly field observations in ten nuclear medicine facilities in Indonesia to propose the technical requirements and room’s layout design recommendations for nuclear medicine facility in Indonesia. In conclusion of this investigation, the availability of room, utility and instrumentation of nuclear medicine in Indonesia mostly meet the International guidelines, except the room construction aspect. Therefore, our study will promote this shortcoming to fulfill the facility’s requirement recommendation in new regulation of nuclear medicine facilities in Indonesia in the near future for the sake of better patients’ and healthworkers’ safety.","PeriodicalId":15161,"journal":{"name":"Journal of Biomimetics, Biomaterials and Biomedical Engineering","volume":"55 1","pages":"315 - 328"},"PeriodicalIF":0.7,"publicationDate":"2022-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47383451","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}
P. C. Nugraha, I. D. H. Wisana, D. Titisari, Farid Amrinsani
Cardiovascular disease is the leading cause of death in the world and the number one killer in Indonesia, with a mortality rate of 17.05%. The target of this research is to increase the range of electrocardiograph (ECG) equipment using LoRa Technology. With LoRa Technology, it is expected that the data transmission process can run effectively and produce an accurate ECG signal and minimal noise. The research method is by sending a heart signal from the ECG simulator by the microcontroller via LoRa Technology which is received by the PC (Personal Computer) and the ECG signal is displayed on the PC display. The most optimal setting will be obtained from the sender-receiver distance and baudrate by measuring data loss and delay. In this study, the simulated cardiac signal from the phantom ECG is fed to an analog signal processing circuit, then the signal is converted to digital and digitally filtered on the microcontroller, then the signal is sent via the LoRa HC-12 Transceiver to a PC with baudrate, distance and barrier settings. The results obtained are that data transmission can be carried out at a distance of 175 meters without a barrier and a distance of 50 meters with a barrier. This remote ECG equipment can detect heart signals and the results can be sent to a PC using LoRa Technology. The implication is that the transmission of ECG signal data via the Lora HC-12 Transceiver media can be carried out optimally at the 9600 baudrate setting.
{"title":"Optimal Long Distance ECG Signal Data Delivery Using LoRa Technology","authors":"P. C. Nugraha, I. D. H. Wisana, D. Titisari, Farid Amrinsani","doi":"10.4028/p-6z381m","DOIUrl":"https://doi.org/10.4028/p-6z381m","url":null,"abstract":"Cardiovascular disease is the leading cause of death in the world and the number one killer in Indonesia, with a mortality rate of 17.05%. The target of this research is to increase the range of electrocardiograph (ECG) equipment using LoRa Technology. With LoRa Technology, it is expected that the data transmission process can run effectively and produce an accurate ECG signal and minimal noise. The research method is by sending a heart signal from the ECG simulator by the microcontroller via LoRa Technology which is received by the PC (Personal Computer) and the ECG signal is displayed on the PC display. The most optimal setting will be obtained from the sender-receiver distance and baudrate by measuring data loss and delay. In this study, the simulated cardiac signal from the phantom ECG is fed to an analog signal processing circuit, then the signal is converted to digital and digitally filtered on the microcontroller, then the signal is sent via the LoRa HC-12 Transceiver to a PC with baudrate, distance and barrier settings. The results obtained are that data transmission can be carried out at a distance of 175 meters without a barrier and a distance of 50 meters with a barrier. This remote ECG equipment can detect heart signals and the results can be sent to a PC using LoRa Technology. The implication is that the transmission of ECG signal data via the Lora HC-12 Transceiver media can be carried out optimally at the 9600 baudrate setting.","PeriodicalId":15161,"journal":{"name":"Journal of Biomimetics, Biomaterials and Biomedical Engineering","volume":"55 1","pages":"239 - 249"},"PeriodicalIF":0.7,"publicationDate":"2022-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45427655","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}
Endro Yulianto, Heru Wildan Muzakkir, Triwiyanto Triwiyanto, P. C. Nugraha, Moch P. Prastawa, Lamidi
The consequence of spinal cord injury (SCI) is the malfunction of some parts of the body. This observation especially applies to trauma at the cervical level, because both patients' hands and legs are no longer functioning. The purpose of this study was to determine the mechanism of the comparator treshold system in electric wheelchairs for patients with paralysis. The research contribution is to get a treshold mechanism that can make a wheelchair run smoothly without being affected by the strength of the user's unstable muscle contractions. To set the muscle reference value, connect the transmitter to Android using USB Cable. On Android there are 2 settings modes, namely manual and auto settings. The method used in auto mode is the transmitter will take 100 contraction and 100 relaxation data and multiplied by certain constants to get the upper and lower threshold values. In setting the threshold manually, the value is set based on the strength of the patient's contractions that are displayed on Android manually. Where in the threshold setting manually obtained response 93.3% of forward movement, 100% of turn left movement, 100% of turn right movement and 93.3% of backward movement. Meanwhile, the threshold setting automatically gets 80% response for forward movements, 93.3% for turn left movements, 86.6% for turn right movements and 93.3% for backward movements. The results of the tapping into 4 parts of the muscle can be implemented to detect muscle contractions so that the wheelchair can move according to orders. The problem obtained in this study is that there are many tapping points on the face so that it interferes with the comfort and time of installing electrodes on the face, also the patient's muscle reference setting system on Android still needs the help of others. In the future, it is expected to reduce tapping points and improve the efficiency of muscle threshold settings.
{"title":"Development of Electromyography Signal Contraction Detection Using the Double Threshold Method for Controlling Wheelchair","authors":"Endro Yulianto, Heru Wildan Muzakkir, Triwiyanto Triwiyanto, P. C. Nugraha, Moch P. Prastawa, Lamidi","doi":"10.4028/p-04pbd2","DOIUrl":"https://doi.org/10.4028/p-04pbd2","url":null,"abstract":"The consequence of spinal cord injury (SCI) is the malfunction of some parts of the body. This observation especially applies to trauma at the cervical level, because both patients' hands and legs are no longer functioning. The purpose of this study was to determine the mechanism of the comparator treshold system in electric wheelchairs for patients with paralysis. The research contribution is to get a treshold mechanism that can make a wheelchair run smoothly without being affected by the strength of the user's unstable muscle contractions. To set the muscle reference value, connect the transmitter to Android using USB Cable. On Android there are 2 settings modes, namely manual and auto settings. The method used in auto mode is the transmitter will take 100 contraction and 100 relaxation data and multiplied by certain constants to get the upper and lower threshold values. In setting the threshold manually, the value is set based on the strength of the patient's contractions that are displayed on Android manually. Where in the threshold setting manually obtained response 93.3% of forward movement, 100% of turn left movement, 100% of turn right movement and 93.3% of backward movement. Meanwhile, the threshold setting automatically gets 80% response for forward movements, 93.3% for turn left movements, 86.6% for turn right movements and 93.3% for backward movements. The results of the tapping into 4 parts of the muscle can be implemented to detect muscle contractions so that the wheelchair can move according to orders. The problem obtained in this study is that there are many tapping points on the face so that it interferes with the comfort and time of installing electrodes on the face, also the patient's muscle reference setting system on Android still needs the help of others. In the future, it is expected to reduce tapping points and improve the efficiency of muscle threshold settings.","PeriodicalId":15161,"journal":{"name":"Journal of Biomimetics, Biomaterials and Biomedical Engineering","volume":"55 1","pages":"93 - 106"},"PeriodicalIF":0.7,"publicationDate":"2022-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43852795","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}
Diabetes Mellitus, with its rapid development and various complications that have caused it, has become one of the deadliest diseases in the world. Early detection efforts to raise blood sugar levels can help to avoid a variety of complications. Measuring devices are needed to find out blood sugar levels detect how much sugar is in the blood. The blood sugar measuring device is invasive by taking blood from capillaries tested both in the lab and using portable testing instruments. The use of this tool results in discomfort, pain, and trauma for the patient. The purpose of this study was to determine the degree of sensitivity of the NIR LED sensor on the thumb to the little finger to the reading of light reflections coming out of body tissues.. Currently, the index finger is often used as a medium to find out how much blood sugar is in non-invasive blood sugar measurements. The other four fingers' sensitivity is unknown at this time. Because the use of the index finger, which is located in the middle, can make activities difficult at times, information on the sensitivity level of the other fingers is required. This paper discusses the sensitivity of placing the NIR LED sensor on the five fingers to determine the most sensitive finger with the best response. Based on the testing results of 15 samples, Although the index finger receives the most significant stress, the correlation and linear regression tests show that the thumb has the closest relationship with the R2 = 0.6841. With this research, a test instrument with higher sensitivity for Diabetes can be developed by placing the sensor in a comfortable area. The implication is that the results of this study can be recommended to use the thumb as an alternative to the placement of the NIR LED sensor to measure blood sugar levels non-invasively in DM patients.
{"title":"Near Infrared LEDs-Based Non-Invasive Blood Sugar Testing for Detecting Blood Sugar Levels on Diabetic Care","authors":"Siti Badriah, Yanyan Bahtiar, A. Andang","doi":"10.4028/p-vthp40","DOIUrl":"https://doi.org/10.4028/p-vthp40","url":null,"abstract":"Diabetes Mellitus, with its rapid development and various complications that have caused it, has become one of the deadliest diseases in the world. Early detection efforts to raise blood sugar levels can help to avoid a variety of complications. Measuring devices are needed to find out blood sugar levels detect how much sugar is in the blood. The blood sugar measuring device is invasive by taking blood from capillaries tested both in the lab and using portable testing instruments. The use of this tool results in discomfort, pain, and trauma for the patient. The purpose of this study was to determine the degree of sensitivity of the NIR LED sensor on the thumb to the little finger to the reading of light reflections coming out of body tissues.. Currently, the index finger is often used as a medium to find out how much blood sugar is in non-invasive blood sugar measurements. The other four fingers' sensitivity is unknown at this time. Because the use of the index finger, which is located in the middle, can make activities difficult at times, information on the sensitivity level of the other fingers is required. This paper discusses the sensitivity of placing the NIR LED sensor on the five fingers to determine the most sensitive finger with the best response. Based on the testing results of 15 samples, Although the index finger receives the most significant stress, the correlation and linear regression tests show that the thumb has the closest relationship with the R2 = 0.6841. With this research, a test instrument with higher sensitivity for Diabetes can be developed by placing the sensor in a comfortable area. The implication is that the results of this study can be recommended to use the thumb as an alternative to the placement of the NIR LED sensor to measure blood sugar levels non-invasively in DM patients.","PeriodicalId":15161,"journal":{"name":"Journal of Biomimetics, Biomaterials and Biomedical Engineering","volume":"55 1","pages":"183 - 191"},"PeriodicalIF":0.7,"publicationDate":"2022-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41591800","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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