{"title":"DETECTION OF SEIZURE TYPES FROM THE WAVELET ENERGY OF SCALP EEG","authors":"Joseph Mathew, N. Sivakumaran, P. Karthick","doi":"10.34107/yhpn9422.04340","DOIUrl":"https://doi.org/10.34107/yhpn9422.04340","url":null,"abstract":"Epilepsy is a disabling and devastating neurological disorder, characterized by recurrent seizures. These seizures are caused by the abrupt disturbance of the brain and are categorized into various types based on the clinical manifestations and localization. Seizures with clinical manifestations require immediate medical attention. In this work, an attempt has been made to differentiate the seizures with and without clinical manifestations using wavelet energy of scalp EEG signals. For this purpose, scalp EEG records from the publically available Temple University Hospital (TUH) database are considered in this work. The first four seconds of scalp EEG during seizure is subjected to seven-level Daubechies (db4) wavelet decomposition and energy is extracted from the resultant coefficients. These features are used to develop k-Nearest Neighbor (k-NN) classification model for the detection. The results show that the energy associated with most of the sub-bands exhibits significant difference (p<0.05) in these two types of seizures. It is found that the machine learning model based on k-NN achieves an accuracy of 87.6% and precision of 87.3%. Therefore, it appears that the proposed approach could aid in detecting life-threatening seizures in clinical settings.","PeriodicalId":75599,"journal":{"name":"Biomedical sciences instrumentation","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49175320","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}
Katlynn Bussett, Katherine Goebel, V. Lee, Lindsey Alumbaugh, Mark A. Calhoun, B. Nguyen, E. Dosmar
{"title":"TN HYDROGELS AS A POTENTIAL ANTI-INFLAMMATORY DRUG DELIVERY SYSTEM TARGETED TO OSTEOARTHRITIC KNEES","authors":"Katlynn Bussett, Katherine Goebel, V. Lee, Lindsey Alumbaugh, Mark A. Calhoun, B. Nguyen, E. Dosmar","doi":"10.34107/yhpn9422.0474","DOIUrl":"https://doi.org/10.34107/yhpn9422.0474","url":null,"abstract":"Arthritis affects 26.3% of adults and approximately 50,000 children in the United States [1]. Hydrogel drug-delivery systems have been considered as a viable option for drug delivery to arthritic articular cartilage in the knee. To determine physiologically relevant loading, a Qualisys motion capture system was used to analyze the gait of college-aged females as they took several steps on a flat surface, then stepped onto a force plate. The motion capture and force plate data was used to determine maximum force exerted on the knee during normal gait. Three different alginate-based hydrogels, where the superior one had a triple interpenetrating graphene oxide network (TN hydrogels), were investigated for use as an antiinflammatory drug delivery system in a human knee joint. Physiologically relevant cyclic loading was performed to ensure that the TN hydrogel could withstand the force exerted in the knee. The TN hydrogel experienced a change in energy of 50% after cyclic loading (10.6 ± 15.0 Pa) and survived high stresses of 4 kPa, which is 80 magnitudes larger than observable gait forces as measured in this study. From a mechanical perspective, TN hydrogel appears to be mechanically viable for arthritis drug delivery. In addition, based on calculations and Flory-Rehner equations, the pore size of the TN hydrogel is adequate for encapsulating most NSAIDs, which have a molecule size ≤ 5μm.","PeriodicalId":75599,"journal":{"name":"Biomedical sciences instrumentation","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47580306","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}
Sukanta Kumar Tulo, Satyavratan Govindarajan, Palaniappan Ramu, R. Swaminathan
{"title":"SHAPE CHARACTERIZATION OF MEDIASTINUM IN TUBERCULOSIS CHEST RADIOGRAPHS USING LEVEL SET SEGMENTATION","authors":"Sukanta Kumar Tulo, Satyavratan Govindarajan, Palaniappan Ramu, R. Swaminathan","doi":"10.34107/yhpn9422.04212","DOIUrl":"https://doi.org/10.34107/yhpn9422.04212","url":null,"abstract":"Mediastinum is considered as one of the substantial anatomical regions for the gross diagnosis of several chest related pathologies. The geometric variations of the mediastinum in Chest Radiographs (CXRs) could be utilised as potential image markers in the early detection of Tuberculosis (TB). This study attempts to segment mediastinum in CXRs using level sets for the shape characterization of TB conditions. The CXR images for this study are considered from a public database. An edge-based distance regularized level set evolution is employed to segment the lungs followed by a region-based Chan-Vese model that extracts mediastinum region. Features such as mediastinum area and lungs area are extracted from the segmented images. Further, mediastinum to lungs area ratio is calculated. Statistical analysis is performed on the features to differentiate normal and TB images. Results show that the proposed segmentation approach is able to segment the lungs and extract the mediastinum in CXRs. It is found that features namely mediastinum area and mediastinum to lungs area ratio are statistically significant in the differentiation of TB. Larger mediastinum area is observed in TB images as compared to normal. The performance of lung field segmentation is also observed to be in line with the literature. The mediastinum segmentation approach in CXRs obtains to be a novel method as compared to the existing methods. As the proposed approach based on mediastinum image analysis provides better shape characterization, the study could be clinically useful in the differentiation of TB conditions.","PeriodicalId":75599,"journal":{"name":"Biomedical sciences instrumentation","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43689744","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}
{"title":"EMOTION ANALYSIS USING SIGNAL AND IMAGE PROCESSING APPROACH BY IMPLEMENTING DEEP NEURAL NETWORK","authors":"S. Shuma, T. Bobby, S. Malathi","doi":"10.34107/yhpn9422.04313","DOIUrl":"https://doi.org/10.34107/yhpn9422.04313","url":null,"abstract":"Emotion recognition is important in human communication and to achieve a complete interaction between humans and machines. In medical applications, emotion recognition is used to assist the children with Autism Spectrum Disorder (ASD to improve their socio-emotional communication, helps doctors with diagnosis of diseases such as depression and dementia and also helps the caretakers of older patients to monitor their well-being. This paper discusses the application of feature level fusion of speech and facial expressions of different emotions such as neutral, happy, sad, angry, surprise, fearful and disgust. Also, to explore how best to build the deep learning networks to classify the emotions independently and jointly from these two modalities. VGG-model is utilized to extract features from facial images, and spectral features are extracted from speech signals. Further, feature level fusion technique is adopted to fuse the features extracted from the two modalities. Principal Component Analysis (PCA is implemented to choose the significant features. The proposed method achieved a maximum score of 90% on training set and 82% on validation set. The recognition rate in case of multimodal data improved greatly when compared to unimodal system. The multimodal system gave an improvement of 9% compared to the performance of the system based on speech. Thus, result shows that the proposed Multimodal Emotion Recognition (MER outperform the unimodal emotion recognition system.","PeriodicalId":75599,"journal":{"name":"Biomedical sciences instrumentation","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42553907","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. Vardhini, Non-Invasive Imaging, S. Ramakrishnan
{"title":"FRACTAL ANGLE BASED DIFFERENTIATION OF TERM PREGNANCIES USING UTERINE ELECTROMYOGRAPHIC SIGNALS","authors":"P. Vardhini, Non-Invasive Imaging, S. Ramakrishnan","doi":"10.34107/yhpn9422.04350","DOIUrl":"https://doi.org/10.34107/yhpn9422.04350","url":null,"abstract":"Uterine Electromyography (uEMG) is a non-invasive technique that provides quantitative measure of uterine activity from the abdominal surface. In this work, an attempt has been made to investigate Term (gestational age > 37 weeks) uEMG signals using Adaptive Fractal Analysis (AFA). For this, the signals obtained in second and third trimesters are considered and subjected to AFA. The fluctuation function is computed and the corresponding linear scaling regions are identified based on Chi-square statistic, standard error of slope, and coefficient of determination. Angle-based features from multiple scaling regions namely, inter-fractal angle and, short- and long-term fractal angles are extracted and are used for further analysis. The obtained results demonstrates that AFA approach can characterize the Term signals during varied gestational ages. All features show significant differences (p < 0.05) in both groups. Feature values suggest that the third trimester signals possess more correlated and smoother fluctuations when compared to second trimester signals. This is attributed to the increased coordination of uterine contractions as delivery approaches. Hence, it appears that the proposed adaptive angle-based fractal features could be potential biomarkers in analyzing the muscle contractions associated with Term pregnancies.","PeriodicalId":75599,"journal":{"name":"Biomedical sciences instrumentation","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44109274","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}
{"title":"DYNAMICS RESPONSE OF THE HUMAN HEAD DURING DRYWALL IMPACT","authors":"M. Liebschner, L. Waite","doi":"10.34107/yhpn9422.04136","DOIUrl":"https://doi.org/10.34107/yhpn9422.04136","url":null,"abstract":"Little experimental data has been reported on the biomechanics of head collisions with drywall sections. The dynamics of head collisions with rigid structures are well documented. However, impacts with compliant, composite structures are more difficult to analyze. The study objective was to correlate the severity of a head impact with damage to the drywall. A human head analog was instrumented with a tri-axial accelerometer and a uniaxial load cell was placed along the cervical spine axis. A randomized block design of drop height and head orientation was utilized. The test results indicated a primarily linear correlation between drop height and peak head acceleration, as well as correlation between drop height and the geometry of the indentation to the drywall. Head posture had little influence on wall damage, however, head extension resulted in a stiffer head-spine complex compared to a flexed posture. A two-factor ANOVA determined a statistically significant correlation between damage severity and impact velocity. The results obtained can be used by accident reconstructionists to approximate the impact severity of a head impacting drywall. The study data are limited to drywall sections of known, similar geometry, and does not apply to scenarios with a support beam directly beneath the drywall. Further studies are needed to investigate additional head postures.","PeriodicalId":75599,"journal":{"name":"Biomedical sciences instrumentation","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43518455","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}
Divya Bharathi Krishnamani, Non-Invasive Imaging, P. Karthick, R. Swaminathan
{"title":"VARIATION OF INSTANTANEOUS SPECTRAL CENTROID ACROSS BANDS OF SURFACE ELECTROMYOGRAPHIC SIGNALS","authors":"Divya Bharathi Krishnamani, Non-Invasive Imaging, P. Karthick, R. Swaminathan","doi":"10.34107/yhpn9422.04356","DOIUrl":"https://doi.org/10.34107/yhpn9422.04356","url":null,"abstract":"Surface electromyography (sEMG) is a technique which noninvasively acquires the electrical activity of muscles and is widely used for muscle fatigue assessment. This study attempts to characterize the dynamic muscle fatiguing contractions with frequency bands of sEMG signals and a geometric feature namely the instantaneous spectral centroid (ISC). The sEMG signals are acquired from biceps brachii muscle of fifty-eight healthy volunteers. The frequency components of the signals are divided into low frequency band (10-45Hz), medium frequency band (55-95Hz) and high frequency band (95-400Hz). The signals associated with these bands are subjected to a Hilbert transform and analytical shape representation is obtained in the complex plane. The ISC feature is extracted from the resultant shape of the three frequency bands. The results show that this feature can differentiate the muscle nonfatigue and fatigue conditions (p<0.05). It is found the values of ISC is lower in fatigue conditions irrespective of frequency bands. It is also observed that the coefficient of variation of ISC in the low frequency band is less and it demonstrates the ability of handling inter-subject variations. Therefore, the proposed geometric feature from the low frequency band of sEMG signals could be considered for detecting muscle fatigue in various neuromuscular conditions.","PeriodicalId":75599,"journal":{"name":"Biomedical sciences instrumentation","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44069451","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}
Declan A Patton, Colin M Huber, Susan S Margulies, Christina L Master, Kristy B Arbogast
{"title":"NON-HEADER IMPACT EXPOSURE AND KINEMATICS OF MALE YOUTH SOCCER PLAYERS.","authors":"Declan A Patton, Colin M Huber, Susan S Margulies, Christina L Master, Kristy B Arbogast","doi":"10.34107/yhpn9422.04106","DOIUrl":"https://doi.org/10.34107/yhpn9422.04106","url":null,"abstract":"<p><p>Previous studies have investigated the head impact kinematics of purposeful heading in youth soccer; however, less than a third of all head injuries in youth soccer have been found to involve ball contact. The aim of the current study was to identity the head impact kinematics and exposure not associated with purposeful heading of the ball in male youth soccer. Headband-mounted sensors were used to monitor the head kinematics of male junior varsity and middle school teams during games. Video analysis of sensor-recorded events was used to code impact mechanism, surface and site. Junior varsity players had non-header impact rates of 0.28 per athlete-exposure (AE) and 0.37 per player-hour (PH), whereas middle school players had relatively lower non-header impact rates of 0.16 per AE and 0.25 per PH. Such impact rates fell within the large range of values reported by previous studies, which is likely affected by sensor type and recording trigger threshold. The most common non-header impact mechanism in junior varsity soccer was player contact, whereas ball-to-head was the most common non-header impact mechanism in middle school soccer. Non-header impacts for junior varsity players had median peak kinematics of 31.0 g and 17.4 rad/s. Non-header impacts for middle school players had median peak kinematics of 40.6 g and 16.2 rad/s. For non-header impacts, ball impacts to the rear of the head the highest peak kinematics recorded by the sensor. Such data provide targets for future efforts in injury prevention, such as officiating efforts to control player-to-player contact.</p>","PeriodicalId":75599,"journal":{"name":"Biomedical sciences instrumentation","volume":"57 2","pages":"106-113"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9555802/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"33511854","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"CORTICAL INTEGRATIVE THERAPY EFFECTIVENESS IN THE TREATMENT OF POST-CONCUSSION SYNDROME AND MILD TRAUMATIC BRAIN INJURY","authors":"V. M. Pedro, Nicole C H Lim, E. Oggero","doi":"10.34107/yhpn942204191","DOIUrl":"https://doi.org/10.34107/yhpn942204191","url":null,"abstract":"Post-Concussion Syndrome (PCS) is a relatively prevalent condition that emerges after sustaining a head injury. Individuals with PCS experience prolonged impairments and distress associated with the injury which can impact the individuals’ quality of life experiences. In this retrospective chart review of refractory adult patients diagnosed with PCS and mild Traumatic Brain Injury (mTBI), the effectiveness of Cortical Integrative Therapy (PedroCIT®) was investigated by comparing measures of postural stability, brain sequencing and timing, and self-reports of physical and psychosocial symptoms of PCS obtained before and after PedroCIT®. Multivariate and Repeated Measures General Linear Models showed improvements across the measures from before to after treatment in all subjects, highlighting the effectiveness of PedroCIT®. To further underscore the capacity of PedroCIT® to elicit improvements in patients who have been resistant to treatment prior to PedroCIT®, the duration of time that the subjects underwent PedroCIT® was compared to the duration of time since the injury to the subjects’ first PedroCIT® intervention session. The findings of this study showed significant improvements from pre- to post-treatment in postural stability, brain sequencing and timing, and self-reported symptoms for patients affected by PCS and mTBI, and treatment outcomes were largely not contingent upon the severity of the condition at the beginning of treatment. Altogether, this retrospective study suggests that refractory individuals affected by PCS and mTBI can benefit from undergoing PedroCIT® and their treatment outcomes may not be related to the degree of impairment presented at the beginning of treatment.","PeriodicalId":75599,"journal":{"name":"Biomedical sciences instrumentation","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48480945","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}
{"title":"STUDY OF THE BILATERAL ASYMMETRY OF PLANTAR MECHANICAL PROPERTIES AS A BIOMARKER FOR THE DIFFERENTIATION OF DIABETIC CONDITION","authors":"S. Banerjee, Srivasta Ananthan, Sree Clinic","doi":"10.34107/yhpn9422.04114","DOIUrl":"https://doi.org/10.34107/yhpn9422.04114","url":null,"abstract":"Diabetes mellitus is a globally prevalent metabolic disease which results in altered plantar mechanical properties and foot ulcer. In this study, the bilateral asymmetry of mechanical properties for plantar soft tissue is investigated in healthy and diabetic conditions. Myotonometric signals are acquired from sub-metatarsal region of the plantar faces of healthy subjects and patients with varied diabetic age. Mechanical parameters such as dynamic stiffness and logarithmic decrement are extracted from the recorded signal. The asymmetry indices between right and left feet are computed. Statistical analysis shows that the spatial pattern of dynamic stiffness and logarithmic decrement varies significantly between healthy and diabetic subjects. The asymmetry index of dynamic stiffness in the fifth sub-metatarsal head can differentiate between healthy subjects and patients with both high and low diabetic age (p<0.05). The asymmetry index of logarithmic decrement is found to vary significantly between the healthy subjects and patients with higher diabetic age (p<0.05). These results indicate that bilateral asymmetry of myotonometric parameters can be exploited as a possible biomarker to differentiate diabetic patients from healthy subjects and can aid in the early detection of foot ulcer.","PeriodicalId":75599,"journal":{"name":"Biomedical sciences instrumentation","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47287955","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}