Pub Date : 2022-12-07DOI: 10.1109/IECBES54088.2022.10079581
Azmir Ahmad, Saiful Azlan Rosli, Ai-Hong Chen
Numerous eye gaze changes of different fixation viewings are involved in driving. In addition, driving is done under various surrounding illuminance conditions. However, the effect of different illuminance transmissions on eye gaze movement was not explored during driving. This study investigated the saccadic eye movement using eye tracking system under different illuminance transmissions during driving simulation. The investigation was conducted on twenty-eight participants aged between 21 to 26 years old with proper driving licensing and experience. All participants had good vision status, with a good history of systemic, ocular, and binocular vision health. Using driving simulation, the participants were instructed to drive as they usually did, and their saccadic eye movement was recorded via the Dikablis eye tracker. The surrounding illuminance within the experimental room provided 100% transmission of 500 Lux, and the illuminance transmission was varied to 50%, 30%, and 15% using neural density filters. Under different illuminance transmissions, the saccadic eye movement showed no significant differences (p>0.05), even with the 15% transmission, both in the number and duration of saccadic eye movement. This showed similar eye gaze change specifically saccadic movement during driving simulation with different light transmissions. It could be concluded that eye gaze movement was not influenced by reduced illuminance when driving.
{"title":"Eye Tracking System Measurement of Saccadic Eye Movement with Different Illuminance Transmission Exposures during Driving Simulation","authors":"Azmir Ahmad, Saiful Azlan Rosli, Ai-Hong Chen","doi":"10.1109/IECBES54088.2022.10079581","DOIUrl":"https://doi.org/10.1109/IECBES54088.2022.10079581","url":null,"abstract":"Numerous eye gaze changes of different fixation viewings are involved in driving. In addition, driving is done under various surrounding illuminance conditions. However, the effect of different illuminance transmissions on eye gaze movement was not explored during driving. This study investigated the saccadic eye movement using eye tracking system under different illuminance transmissions during driving simulation. The investigation was conducted on twenty-eight participants aged between 21 to 26 years old with proper driving licensing and experience. All participants had good vision status, with a good history of systemic, ocular, and binocular vision health. Using driving simulation, the participants were instructed to drive as they usually did, and their saccadic eye movement was recorded via the Dikablis eye tracker. The surrounding illuminance within the experimental room provided 100% transmission of 500 Lux, and the illuminance transmission was varied to 50%, 30%, and 15% using neural density filters. Under different illuminance transmissions, the saccadic eye movement showed no significant differences (p>0.05), even with the 15% transmission, both in the number and duration of saccadic eye movement. This showed similar eye gaze change specifically saccadic movement during driving simulation with different light transmissions. It could be concluded that eye gaze movement was not influenced by reduced illuminance when driving.","PeriodicalId":146681,"journal":{"name":"2022 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130413613","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 : 2022-12-07DOI: 10.1109/IECBES54088.2022.10079431
I. Dheivya, S. Gurunathan
Metastasis in the vertebral body is a widely observed malignant disease. This study used Computer Tomography (CT) images of the lumbar region to detect and classify the metastases from the normal vertebral bodies. We also classify the two types of metastases; Sclerotic and Lytic. Segmentation of the vertebral body is done using a deep neural network. We compared the performance of our model with existing state-of-art models. Multi-resolution blocks in the proposed model help segment the vertebral body with lytic lesions in the margin of the region of interest. Through Wavelet image transformation, coefficients are derived from the vertebral region. Based on the extracted wavelet scattering features, vertebral bodies are classified into three classes; normal, sclerotic and lytic, using Principal Component Analysis (PCA).
{"title":"Deep Learning Based Lumbar Metastases Detection and Classification from Computer Tomography Images","authors":"I. Dheivya, S. Gurunathan","doi":"10.1109/IECBES54088.2022.10079431","DOIUrl":"https://doi.org/10.1109/IECBES54088.2022.10079431","url":null,"abstract":"Metastasis in the vertebral body is a widely observed malignant disease. This study used Computer Tomography (CT) images of the lumbar region to detect and classify the metastases from the normal vertebral bodies. We also classify the two types of metastases; Sclerotic and Lytic. Segmentation of the vertebral body is done using a deep neural network. We compared the performance of our model with existing state-of-art models. Multi-resolution blocks in the proposed model help segment the vertebral body with lytic lesions in the margin of the region of interest. Through Wavelet image transformation, coefficients are derived from the vertebral region. Based on the extracted wavelet scattering features, vertebral bodies are classified into three classes; normal, sclerotic and lytic, using Principal Component Analysis (PCA).","PeriodicalId":146681,"journal":{"name":"2022 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129047458","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 : 2022-12-07DOI: 10.1109/IECBES54088.2022.10079496
Varsha Pendyala, W. Sethares, Viji Easwar
Hearing loss is a common congenital health condition that affects audibility of speech—critical for communication development in children—in a frequency-specific manner. The use of hearing aids to amplify speech is a common intervention approach. Since hearing aids are fit within the first few months of life, there is a need to assess the efficacy of hearing aids using objective methods like electroencephalography (EEG). In this paper, six binary classification tasks are designed for frequency-specific audibility assessment using EEG-based cortical responses to speech stimuli. Three techniques, two conventional and one based on machine learning are developed for classifying the cortical responses. These techniques are compared to identify the most accurate ones under the different classification tasks. The results in this paper show that the use of machine learning offers several benefits over conventional techniques for inferring frequency-specific hearing loss using cortical responses.
{"title":"Techniques to Infer Frequency-Specific Audibility of Speech Using Single-Channel Cortical Responses","authors":"Varsha Pendyala, W. Sethares, Viji Easwar","doi":"10.1109/IECBES54088.2022.10079496","DOIUrl":"https://doi.org/10.1109/IECBES54088.2022.10079496","url":null,"abstract":"Hearing loss is a common congenital health condition that affects audibility of speech—critical for communication development in children—in a frequency-specific manner. The use of hearing aids to amplify speech is a common intervention approach. Since hearing aids are fit within the first few months of life, there is a need to assess the efficacy of hearing aids using objective methods like electroencephalography (EEG). In this paper, six binary classification tasks are designed for frequency-specific audibility assessment using EEG-based cortical responses to speech stimuli. Three techniques, two conventional and one based on machine learning are developed for classifying the cortical responses. These techniques are compared to identify the most accurate ones under the different classification tasks. The results in this paper show that the use of machine learning offers several benefits over conventional techniques for inferring frequency-specific hearing loss using cortical responses.","PeriodicalId":146681,"journal":{"name":"2022 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129525088","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 : 2022-12-07DOI: 10.1109/IECBES54088.2022.10079555
Jeshaiah Zhen Syuen Khor, A. Gopalai, B. Lan, S. A. Ahmad, D. Gouwanda
Falling is a serious worldwide public health issue, leading to heavy interest in the development of interventions to reduce fall risk. Mechanical noise has been shown to be a promising candidate in this regard - the application of mechanical noise to the foot sole has been shown to improve the sensitivity of the foot sole to pressure stimuli, thereby improving postural control and reducing fall risk. However, the mechanism by which mechanical noise affects the neural drive responsible for postural control is yet unknown. A single-blind randomized controlled study was conducted on the bodily sway of 19 healthy young subjects during quiet standing balance on a firm and compliant surface with and without introduced mechanical noise. The trajectory of the center of pressure (COP) of the subjects during balance was decomposed into its constituent rambling and trembling components, which reflected supraspinal and reflexive neural control respectively. On the compliant surface, the introduction of mechanical noise significantly reduced sway compared to control in the overall COP trajectory as well as the rambling and trembling trajectories. These findings indicate that mechanical noise can improve neural control of balance through both the supraspinal and reflexive neural pathways, leading to tighter bodily control and reduced bodily sway. These findings are particularly promising for the development of targeted noise-based assistive devices to reduce fall risk in demographics with neurological issues impairing motor control and balance.Clinical Relevance– This study demonstrates that mechanical vibratory noise introduced to the foot sole reduces both rambling and trembling of the COP during postural control, thus improving balance, with a wider bandwidth of mechanical noise having a larger effect. This has practical applications in the development of noise-based wearable devices for fall risk reduction.
{"title":"Mechanical Noise Affects Rambling and Trembling Trajectories During Quiet Standing","authors":"Jeshaiah Zhen Syuen Khor, A. Gopalai, B. Lan, S. A. Ahmad, D. Gouwanda","doi":"10.1109/IECBES54088.2022.10079555","DOIUrl":"https://doi.org/10.1109/IECBES54088.2022.10079555","url":null,"abstract":"Falling is a serious worldwide public health issue, leading to heavy interest in the development of interventions to reduce fall risk. Mechanical noise has been shown to be a promising candidate in this regard - the application of mechanical noise to the foot sole has been shown to improve the sensitivity of the foot sole to pressure stimuli, thereby improving postural control and reducing fall risk. However, the mechanism by which mechanical noise affects the neural drive responsible for postural control is yet unknown. A single-blind randomized controlled study was conducted on the bodily sway of 19 healthy young subjects during quiet standing balance on a firm and compliant surface with and without introduced mechanical noise. The trajectory of the center of pressure (COP) of the subjects during balance was decomposed into its constituent rambling and trembling components, which reflected supraspinal and reflexive neural control respectively. On the compliant surface, the introduction of mechanical noise significantly reduced sway compared to control in the overall COP trajectory as well as the rambling and trembling trajectories. These findings indicate that mechanical noise can improve neural control of balance through both the supraspinal and reflexive neural pathways, leading to tighter bodily control and reduced bodily sway. These findings are particularly promising for the development of targeted noise-based assistive devices to reduce fall risk in demographics with neurological issues impairing motor control and balance.Clinical Relevance– This study demonstrates that mechanical vibratory noise introduced to the foot sole reduces both rambling and trembling of the COP during postural control, thus improving balance, with a wider bandwidth of mechanical noise having a larger effect. This has practical applications in the development of noise-based wearable devices for fall risk reduction.","PeriodicalId":146681,"journal":{"name":"2022 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115363707","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 : 2022-12-07DOI: 10.1109/IECBES54088.2022.10079546
C. K. Perera, A. Gopalai, D. Gouwanda, S. A. Ahmad, S. Nurzaman
Sit-to-walk (STW) is a critical activity of daily living, yet literature mainly focuses on sit-to-stand (SiSt). Normally, during locomotion, gait takes place immediately after standing making STW functionally significant, with SiSt being a subset of the overall STW motion. There is a growing body of literature on STW kinematic and kinetic biomechanics. Hence, the objective of this review was to summarize the major findings on STW biomechanics for healthy young and older adults. The major findings include the STW movement phases, primary muscles involved, strategies and determinants. An understanding of STW would assist the design of assistive devices, treatment plans and interventions for older adults or individuals with movement impairments. This would increase the efficiency and applicability of interventions, while improving mobility, independence and reducing fall risk. Yet, further research on STW biomechanics, specifically for older adults and failed STW transitions are still lacking.
{"title":"A Review on Sit-To-Walk Biomechanics for Healthy Young and Older Adults","authors":"C. K. Perera, A. Gopalai, D. Gouwanda, S. A. Ahmad, S. Nurzaman","doi":"10.1109/IECBES54088.2022.10079546","DOIUrl":"https://doi.org/10.1109/IECBES54088.2022.10079546","url":null,"abstract":"Sit-to-walk (STW) is a critical activity of daily living, yet literature mainly focuses on sit-to-stand (SiSt). Normally, during locomotion, gait takes place immediately after standing making STW functionally significant, with SiSt being a subset of the overall STW motion. There is a growing body of literature on STW kinematic and kinetic biomechanics. Hence, the objective of this review was to summarize the major findings on STW biomechanics for healthy young and older adults. The major findings include the STW movement phases, primary muscles involved, strategies and determinants. An understanding of STW would assist the design of assistive devices, treatment plans and interventions for older adults or individuals with movement impairments. This would increase the efficiency and applicability of interventions, while improving mobility, independence and reducing fall risk. Yet, further research on STW biomechanics, specifically for older adults and failed STW transitions are still lacking.","PeriodicalId":146681,"journal":{"name":"2022 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116094176","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 : 2022-12-07DOI: 10.1109/IECBES54088.2022.10079687
A. L. N. Kit, B. V. Durairajah, C. S. Gobee
The expensive price of a prosthetic leg for above-knee amputees caused some of them to be unable to afford it. This is especially relevant for people with low income that live from paycheck to paycheck. With the addition of the aforementioned disability, they would be unable to earn income. Hence, this project aims to provide a cheap solution for above-knee amputees to restore their mobility. The solution that is explored is the use of an echo-control scheme that mimics the bending and flexion of the sound leg and transmits it to the prosthetic leg to mimic. Through the test that was done, the prosthetic leg was able to perform its function albeit its swing velocity is 10 times slower than that of a sound leg. Further enhancement in the future can consider implementing a system that allows the prosthetic leg to work independently from LabVIEW if needed as well as increasing the speed of the prosthetic leg during the gait cycle.Reduce the cost of prosthetic legs and make them more widely available to people especially those with low income.
{"title":"Automated Artificial Leg Mechanism for Above-Knee Amputees","authors":"A. L. N. Kit, B. V. Durairajah, C. S. Gobee","doi":"10.1109/IECBES54088.2022.10079687","DOIUrl":"https://doi.org/10.1109/IECBES54088.2022.10079687","url":null,"abstract":"The expensive price of a prosthetic leg for above-knee amputees caused some of them to be unable to afford it. This is especially relevant for people with low income that live from paycheck to paycheck. With the addition of the aforementioned disability, they would be unable to earn income. Hence, this project aims to provide a cheap solution for above-knee amputees to restore their mobility. The solution that is explored is the use of an echo-control scheme that mimics the bending and flexion of the sound leg and transmits it to the prosthetic leg to mimic. Through the test that was done, the prosthetic leg was able to perform its function albeit its swing velocity is 10 times slower than that of a sound leg. Further enhancement in the future can consider implementing a system that allows the prosthetic leg to work independently from LabVIEW if needed as well as increasing the speed of the prosthetic leg during the gait cycle.Reduce the cost of prosthetic legs and make them more widely available to people especially those with low income.","PeriodicalId":146681,"journal":{"name":"2022 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124906229","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 : 2022-12-07DOI: 10.1109/IECBES54088.2022.10079599
Ungku M.Z. Ungku Zakaria, S. M. Mustaza, M. H. M. Zaman, Ashrani Aizzuddin Abd. Rahni
For treating liver cancer, ablation is a minimally invasive treatment option, though it relies on image guidance such as ultrasound. There is a general continuing interest in automating medical ultrasound image acquisition due to it being widely used, lower cost and more portable compared to other imaging modalities. Earlier interest in using robots for automating sonography revolve around remote ultrasonography i.e. teleimaging. More recently there is increasing interest in semi-automated or fully automated image robotic image acquisition. In this work we envisage automated robot assisted ultrasound imaging for liver ablation surgery. We propose the use of a collaborative robot arm from Universal Robots™ (UR) which also have been increasingly popular in a variety of applications. In this work we show a preliminary proof of concept of a real-time force control system to control the contact force applied across a small angular range by the robot with respect to the surface a torso phantom. This is intended to represent the range of contact angles during ultrasound imaging. We use the Robot Operating System (ROS) and the UR Real-Time Data Exchange (UR-RTDE) interface to control the robot. We show that the contact force can be maintained around 9 N albeit with deviations due to the actual contact angle and surface deformation. The result will guide further development of automation of ultrasound scanning.
{"title":"Development of Real-Time Contact Force Control of a Collaborative Robot for Automated Ultrasound Scanning","authors":"Ungku M.Z. Ungku Zakaria, S. M. Mustaza, M. H. M. Zaman, Ashrani Aizzuddin Abd. Rahni","doi":"10.1109/IECBES54088.2022.10079599","DOIUrl":"https://doi.org/10.1109/IECBES54088.2022.10079599","url":null,"abstract":"For treating liver cancer, ablation is a minimally invasive treatment option, though it relies on image guidance such as ultrasound. There is a general continuing interest in automating medical ultrasound image acquisition due to it being widely used, lower cost and more portable compared to other imaging modalities. Earlier interest in using robots for automating sonography revolve around remote ultrasonography i.e. teleimaging. More recently there is increasing interest in semi-automated or fully automated image robotic image acquisition. In this work we envisage automated robot assisted ultrasound imaging for liver ablation surgery. We propose the use of a collaborative robot arm from Universal Robots™ (UR) which also have been increasingly popular in a variety of applications. In this work we show a preliminary proof of concept of a real-time force control system to control the contact force applied across a small angular range by the robot with respect to the surface a torso phantom. This is intended to represent the range of contact angles during ultrasound imaging. We use the Robot Operating System (ROS) and the UR Real-Time Data Exchange (UR-RTDE) interface to control the robot. We show that the contact force can be maintained around 9 N albeit with deviations due to the actual contact angle and surface deformation. The result will guide further development of automation of ultrasound scanning.","PeriodicalId":146681,"journal":{"name":"2022 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131061726","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 : 2022-12-07DOI: 10.1109/IECBES54088.2022.10079442
Ching Yee Yong, Terence Tien Lok Sia
Neuromuscular electrical stimulation (NMES) is a new technique applied in rehabilitation therapy for patients to restore or regain their confidence in motor function. This technique is significantly applied to patients suffering from spinal cord injury or stroke. However, there is still a gap for upper limb movement analysis due to the limited number of wearable sensors used in NMES. Therefore, this paper proposed a NMES system coupled with wearable sensors and IoT features for human-to-human interface (HHI) stimulation. The controller (therapist) can copy his/her motion, then paste it into the subject (patient). The controller’s motion signal was injected into the subject through a pulse signal and the subject will repeat the same motion due to stimulation. EMG was attached to the controller to collect the fingers’ flexion and extension. The data will be fed into the control unit for further subject stimulation. An accelerometer was attached to the subject’s fingers for repeating motion evaluation. Performance was calculated based on the difference in flexion and extension angles between controller and subject. The proposed system recorded a 10.3% of error for the first trial and this error was reduced to 1% after five trials.
{"title":"An IoT Rehab Device: HHI-based NMES System for Motion Stimulation","authors":"Ching Yee Yong, Terence Tien Lok Sia","doi":"10.1109/IECBES54088.2022.10079442","DOIUrl":"https://doi.org/10.1109/IECBES54088.2022.10079442","url":null,"abstract":"Neuromuscular electrical stimulation (NMES) is a new technique applied in rehabilitation therapy for patients to restore or regain their confidence in motor function. This technique is significantly applied to patients suffering from spinal cord injury or stroke. However, there is still a gap for upper limb movement analysis due to the limited number of wearable sensors used in NMES. Therefore, this paper proposed a NMES system coupled with wearable sensors and IoT features for human-to-human interface (HHI) stimulation. The controller (therapist) can copy his/her motion, then paste it into the subject (patient). The controller’s motion signal was injected into the subject through a pulse signal and the subject will repeat the same motion due to stimulation. EMG was attached to the controller to collect the fingers’ flexion and extension. The data will be fed into the control unit for further subject stimulation. An accelerometer was attached to the subject’s fingers for repeating motion evaluation. Performance was calculated based on the difference in flexion and extension angles between controller and subject. The proposed system recorded a 10.3% of error for the first trial and this error was reduced to 1% after five trials.","PeriodicalId":146681,"journal":{"name":"2022 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131321040","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 : 2022-12-07DOI: 10.1109/IECBES54088.2022.10079433
M. Farhah, M. Fatanah, M.M. Zulfakar, K.J. Ummu, R. Normy, M.Z. Syatirah, M.Z. N. Jihan
Sepsis-induced acute kidney injury (SAKI) patients are linked to high rates of death and morbidity. Additionally, infection and injury increase blood glucose levels, making glycemic control difficult. To control the glycemic level, insulin therapy is required to maintain blood glucose in a normal range. Hence, this study intended to investigate the sepsis and AKI factors in blood glucose outcomes, especially for successful glycemic control. In this study, blood glucose level, insulin administration, and insulin sensitivity between sepsis-AKI And sepsis non-AKI were compared, along with the stochastic model of the two cohorts. Using retrospective clinical data of 20 ICU patients aged 18 years old and above from Hospital University Sains Malaysia from September to November 2021, 10 sepsis AKI patients spent longer total treatment hours (2526) and longer length of stay (median = 8 days) and had a higher median APACHE II score (median = 28) compared to sepsis non-AKI. Additionally, they had higher blood glucose levels per cohort (median = 9.8mmol/L) and higher insulin administration (median = 0.5 U/hr). However, the statistical analysis determined no significant difference between sepsis AKI and sepsis non-AKI in blood glucose level per cohort, per patient metrics, insulin sensitivity, and insulin dosage. In conclusion, it can be concluded that sepsis contributes much to reducing insulin sensitivity and thus plays an important role in affecting the blood glucose level. Clinical Relevance – This demonstrates that, despite AKI, sepsis had more impact on insulin sensitivity and plays an essential role in blood glucose outcome and the success of glycemic control.
{"title":"Modeling of Insulin Sensitivity for Sepsis-AKI and Sepsis Non-AKI","authors":"M. Farhah, M. Fatanah, M.M. Zulfakar, K.J. Ummu, R. Normy, M.Z. Syatirah, M.Z. N. Jihan","doi":"10.1109/IECBES54088.2022.10079433","DOIUrl":"https://doi.org/10.1109/IECBES54088.2022.10079433","url":null,"abstract":"Sepsis-induced acute kidney injury (SAKI) patients are linked to high rates of death and morbidity. Additionally, infection and injury increase blood glucose levels, making glycemic control difficult. To control the glycemic level, insulin therapy is required to maintain blood glucose in a normal range. Hence, this study intended to investigate the sepsis and AKI factors in blood glucose outcomes, especially for successful glycemic control. In this study, blood glucose level, insulin administration, and insulin sensitivity between sepsis-AKI And sepsis non-AKI were compared, along with the stochastic model of the two cohorts. Using retrospective clinical data of 20 ICU patients aged 18 years old and above from Hospital University Sains Malaysia from September to November 2021, 10 sepsis AKI patients spent longer total treatment hours (2526) and longer length of stay (median = 8 days) and had a higher median APACHE II score (median = 28) compared to sepsis non-AKI. Additionally, they had higher blood glucose levels per cohort (median = 9.8mmol/L) and higher insulin administration (median = 0.5 U/hr). However, the statistical analysis determined no significant difference between sepsis AKI and sepsis non-AKI in blood glucose level per cohort, per patient metrics, insulin sensitivity, and insulin dosage. In conclusion, it can be concluded that sepsis contributes much to reducing insulin sensitivity and thus plays an important role in affecting the blood glucose level. Clinical Relevance – This demonstrates that, despite AKI, sepsis had more impact on insulin sensitivity and plays an essential role in blood glucose outcome and the success of glycemic control.","PeriodicalId":146681,"journal":{"name":"2022 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124844828","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 : 2022-12-07DOI: 10.1109/IECBES54088.2022.10079315
Siti Munirah Muhammad Ali, W. El-Bouri, M. Mokhtarudin
Age is a major risk for heart failure, which is associated with the reduction in ventricular compliance, increase in arterial stiffening, and increase in systemic vascular resistance. In this study, a lumped-parameter model is used to investigate the effect of aging on the possibility of heart failure occurrence. Model parameters including the systemic and pulmonary arterial compliance and resistance, and the left ventricular elastance are calculated for different ages using a ratio-based method. These parameters are then used in the lumped-parameter model. Our findings show that as age increases, there is a leftward and a rightward shift in the left ventricle and right ventricle pressure-volume loops, respectively. For the left ventricle, there is a decrease in stroke volume and an increase in ventricular pressure as the age increases. This correlates with the occurrence of arterial hypertension in the older population. Meanwhile, the right ventricular pressure is maintained as the population gets older, despite the increase in the stroke volume. This is possibly due to the shift in intraventricular septum that causes an enlargement of the right ventricle as the age increases. This study provides understanding on the effect of age on the occurrence of heart failure.This study demonstrates the relationship of aging with cardiac hemodynamics, which provides the potential risk of heart failure occurrence. Although there are many risk factors that can cause heart failure, aging has been strongly associated with its occurrence. Understanding how age affects heart failure can help to differentiate them from other effects such as dietary, gender, and early cardiovascular diseases including arrhythmia and myocardial infarction.
{"title":"Age-Based Sensitivity Analysis on Cardiac Hemodynamics using Lumped-Parameter Modelling","authors":"Siti Munirah Muhammad Ali, W. El-Bouri, M. Mokhtarudin","doi":"10.1109/IECBES54088.2022.10079315","DOIUrl":"https://doi.org/10.1109/IECBES54088.2022.10079315","url":null,"abstract":"Age is a major risk for heart failure, which is associated with the reduction in ventricular compliance, increase in arterial stiffening, and increase in systemic vascular resistance. In this study, a lumped-parameter model is used to investigate the effect of aging on the possibility of heart failure occurrence. Model parameters including the systemic and pulmonary arterial compliance and resistance, and the left ventricular elastance are calculated for different ages using a ratio-based method. These parameters are then used in the lumped-parameter model. Our findings show that as age increases, there is a leftward and a rightward shift in the left ventricle and right ventricle pressure-volume loops, respectively. For the left ventricle, there is a decrease in stroke volume and an increase in ventricular pressure as the age increases. This correlates with the occurrence of arterial hypertension in the older population. Meanwhile, the right ventricular pressure is maintained as the population gets older, despite the increase in the stroke volume. This is possibly due to the shift in intraventricular septum that causes an enlargement of the right ventricle as the age increases. This study provides understanding on the effect of age on the occurrence of heart failure.This study demonstrates the relationship of aging with cardiac hemodynamics, which provides the potential risk of heart failure occurrence. Although there are many risk factors that can cause heart failure, aging has been strongly associated with its occurrence. Understanding how age affects heart failure can help to differentiate them from other effects such as dietary, gender, and early cardiovascular diseases including arrhythmia and myocardial infarction.","PeriodicalId":146681,"journal":{"name":"2022 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125382837","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：