keyword
https://read.qxmd.com/read/38340526/effects-of-low-density-lipoprotein-cholesterol-on-sleep-apnea-insights-from-a-rat-model-of-cardiovascular-autonomic-dysregulation
#21
JOURNAL ARTICLE
Wei-Lun Lin, Ya-Wen Hsiao, Shin-Huei Liu, Wen-Han Cheng, Tsung-Ying Tsai, Yu-Hui Chou, Cheryl C H Yang, Terry B J Kuo, Shih-Ann Chen, Li-Wei Lo
INTRODUCTION: The levels of low-density lipoprotein (LDL) cholesterol in plasma are important risk factors for coronary heart disease. Several reports suggest that elevated plasma cholesterol is associated with cardiac arrhythmias. In a subsequent study investigating LDL cholesterol levels and the frequency of LDL cholesterol measurements, a positive correlation was observed between the severity of sleep apnea and visit-to-visit LDL cholesterol variability. Our objective was to assess the effects of hypercholesterolemia on cardiac autonomic activity, disordered sleep patterns, and increased incidence of arrhythmias in freely moving rats...
February 2, 2024: Sleep Medicine
https://read.qxmd.com/read/38340211/an-automatic-method-using-mfcc-features-for-sleep-stage-classification
#22
JOURNAL ARTICLE
Wei Pei, Yan Li, Peng Wen, Fuwen Yang, Xiaopeng Ji
Sleep stage classification is a necessary step for diagnosing sleep disorders. Generally, experts use traditional methods based on every 30 seconds (s) of the biological signals, such as electrooculograms (EOGs), electrocardiograms (ECGs), electromyograms (EMGs), and electroencephalograms (EEGs), to classify sleep stages. Recently, various state-of-the-art approaches based on a deep learning model have been demonstrated to have efficient and accurate outcomes in sleep stage classification. In this paper, a novel deep convolutional neural network (CNN) combined with a long short-time memory (LSTM) model is proposed for sleep scoring tasks...
February 10, 2024: Brain Informatics
https://read.qxmd.com/read/38340155/reduction-and-recovery-of-self-sustained-muscle-activity-after-fatiguing-plantar-flexor-contractions
#23
JOURNAL ARTICLE
Anthony J Blazevich, Ricardo N O Mesquita, Ronei S Pinto, Timothy Pulverenti, Sébastien Ratel
PURPOSE: Persistent inward calcium and sodium currents (PICs) are crucial for initiation and maintenance of motoneuron firing, and thus muscular force. However, there is a lack of data describing the effects of fatiguing exercise on PIC activity in humans. We simultaneously applied tendon vibration and neuromuscular electrical stimulation (VibStim) before and after fatiguing exercise. VibStim induces self-sustained muscle activity that is proposed to result from PIC activation. METHODS: Twelve men performed 5-s maximal isometric plantar flexor contractions (MVC) with 5-s rests until joint torque was reduced to 70%MVC...
February 10, 2024: European Journal of Applied Physiology
https://read.qxmd.com/read/38339435/assessment-of-the-performance-of-ultrasonography-for-detecting-myofascial-trigger-points
#24
JOURNAL ARTICLE
Han-Yu Chen, Chang-Zern Hong, Yueh-Ling Hsieh
Needle electromyogram (EMG) research has suggested that endplate noise (EPN) is a characteristic of myofascial trigger points (MTrPs). Although several studies have observed MTrPs through ultrasonography, whether they are hyperechoic or hypoechoic in ultrasound images is still controversial. Therefore, this study determined the echogenicity of MTrP ultrasonography. In stage 1, the MTrP of rat masseter muscle was identified through palpation and marked. Needle EMG was performed to detect the presence of EPN...
January 23, 2024: Sensors
https://read.qxmd.com/read/38335077/classification-of-action-potentials-with-high-variability-using-convolutional-neural-network-for-motor-unit-tracking
#25
JOURNAL ARTICLE
Yixin Li, Yang Zheng, Guanghua Xu, Sicong Zhang, Renghao Liang, Run Ji
GOAL: The reliable classification of motor unit action potentials (MUAPs) provides the possibility of tracking motor unit (MU) activities. However, the variation of MUAP profiles caused by multiple factors in realistic conditions challenges the accurate classification of MUAPs. The goal of this study was to propose an effective method based on the convolutional neural network (CNN) to classify MUAPs with high levels of variation for MU tracking. METHODS: MUAP variation was added artificially in the synthetic electromyogram (EMG) signals and was induced by changing the forearm postures in the experimental study...
February 9, 2024: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://read.qxmd.com/read/38316102/lower-extremity-muscle-patterns-and-frontal-plane-biomechanics-are-altered-in-the-contralateral-knee-of-adults-with-osteoarthritis-compared-to-asymptomatic-adults
#26
JOURNAL ARTICLE
Sarah Remedios, Derek Rutherford
PURPOSE: To compare knee joint muscle activity during gait between the contralateral limb of individuals with knee osteoarthritis (OA) and an asymptomatic older adult group. A secondary objective was to compare frontal and sagittal plane moment and sagittal plane motion features between groups. SCOPE: 84 individuals with moderate knee OA (61 ± 6 years, 43 % female, BMI 29.2 ± 5.7 kg/m2 ), and 45 asymptomatic older adults (61 ± 7 years, 49 % female, BMI 25...
February 1, 2024: Journal of Electromyography and Kinesiology
https://read.qxmd.com/read/38306264/a-robust-and-real-time-framework-of-cross-subject-myoelectric-control-model-calibration-via-multi-source-domain-adaptation
#27
JOURNAL ARTICLE
Jiayan Liu, Yangyang Yuan, Xinyu Jiang, Yao Guo, Fumin Jia, Chenyun Dai
Surface electromyogram (sEMG) has been widely used in hand gesture recognition. However, most previous studies focused on user-personalized models, which require a great amount of data from each new target user to learn the user-specific EMG patterns. In this work, we present a novel real-time gesture recognition framework based on multi-source domain adaptation, which learns extra knowledge from the data of other users, thereby reducing the data collection burdens on the target user. Additionally, compared with conventional domain adaptation methods which treat data from all users in the source domain as a whole, the proposed multi-source method treat data from different users as multiple separate source domains...
February 2, 2024: IEEE Journal of Biomedical and Health Informatics
https://read.qxmd.com/read/38296582/electromyogram-power-spectrum-and-cardiac-function-changes-after-combined-aerobic-interval-training-and-inspiratory-muscle-training-in-chronic-heart-failure-patients
#28
JOURNAL ARTICLE
Zahra Sadek, Wiam Ramadan, Said Ahmaidi, Mahmoud Youness, Wissam H Joumaa
Exercise intolerance and dyspnea are the major symptoms of patients with chronic heart failure (CHF) and are associated with a poor quality of life. In addition to impaired central hemodynamics, symptoms may be attributed to changes in peripheral skeletal muscles. This study aimed to evaluate the effects of aerobic interval training (AIT) combined with inspiratory muscle training (IMT) on cardiac and skeletal muscle function and on functional capacity and dyspnea in patients with CHF and inspiratory muscle weakness...
2024: International Heart Journal
https://read.qxmd.com/read/38284467/neural-respiratory-drive-assessment-and-its-correlation-with-inspiratory-muscle-strength-in-patients-undergoing-open-heart-surgery-a-cross-sectional-study
#29
JOURNAL ARTICLE
Karan Pongpanit, Jitanan Laosiripisan, Preeyaphorn Songsorn, Noppawan Charususin, Kornanong Yuenyongchaiwat
BACKGROUND AND PURPOSE: Pulmonary dysfunction and inspiratory muscle weakness are frequently observed after cardiac surgery. Understanding the load on and capacity of respiratory muscles can provide valuable insights into the overall respiratory mechanics and neural regulation of breathing. This study aimed to assess the extent of neural respiratory drive (NRD) and determine whether admission-to-discharge differences in NRD were associated with inspiratory muscle strength changes among patients undergoing open-heart surgery...
January 2024: Physiotherapy Research International: the Journal for Researchers and Clinicians in Physical Therapy
https://read.qxmd.com/read/38277703/nonlinear-spatio-temporal-filter-to-reduce-crosstalk-in-bipolar-electromyogram
#30
JOURNAL ARTICLE
Luca Mesin
The wide detection volume of surface electromyogram (EMG) makes it prone to crosstalk, i.e., the signal from other muscles than the target one. Removing this perturbation from bipolar recordings is an important open problem for many applications. 
Approach. An innovative nonlinear spatio-temporal filter is developed to estimate the EMG generated by the target muscle by processing noisy signals from two bipolar channels, placed over the target and the crosstalk muscle, respectively. The filter is trained on some calibration data and then can be applied on new signals...
January 26, 2024: Journal of Neural Engineering
https://read.qxmd.com/read/38250754/the-acute-effects-of-kinesio-taping-on-movement-kinematics-and-muscle-co-activation-in-rowing-athletes
#31
JOURNAL ARTICLE
Jennifer Wator, Aurora Battis, Chris Vellucci, Shawn M Beaudette
BACKGROUND: Rowing-related low back disorders may occur from inconsistent technique, high trunk flexion and training volumes, overactivation of paraspinal muscles, and fatigue. OBJECTIVE: To examine if kinesiology tape (KT) affixed to the trunk dorsum affects muscular co-activation and neuromuscular control to limit dangerous rowing movements and associated injuries. METHODS: Participants (n= 18) completed two 2000 m rowing trials under BASELINE and KT conditions...
December 19, 2023: Journal of Back and Musculoskeletal Rehabilitation
https://read.qxmd.com/read/38248289/does-20-hz-transcranial-alternating-current-stimulation-over-the-human-primary-motor-cortex-modulate-beta-rebound-following-voluntary-movement
#32
JOURNAL ARTICLE
Mayu Akaiwa, Yuya Matsuda, Ryo Kurokawa, Yasushi Sugawara, Rin Kosuge, Hidekazu Saito, Eriko Shibata, Takeshi Sasaki, Kazuhiro Sugawara, Naoki Kozuka
Beta frequency oscillations originating from the primary motor cortex increase in amplitude following the initiation of voluntary movement, a process termed beta rebound. The strength of beta rebound has been reported to predict the recovery of motor function following stroke, suggesting therapeutic applications of beta rebound modulation. The present study examined the effect of 20 Hz transcranial alternating current stimulation (tACS) on the beta rebound induced by self-paced voluntary movement. Electroencephalograms (EEGs) and electromyograms (EMGs) were recorded from 16 healthy adults during voluntary movements performed before and after active or sham tACS...
January 11, 2024: Brain Sciences
https://read.qxmd.com/read/38228733/user-identification-system-based-on-2d-cqt-spectrogram-of-emg-with-adaptive-frequency-resolution-adjustment
#33
JOURNAL ARTICLE
Jae Myung Kim, Gyuho Choi, Sungbum Pan
User identification systems based on electromyogram (EMG) signals, generated inside the body in different signal patterns and exhibiting individual characteristics based on muscle development and activity, are being actively researched. However, nonlinear and abnormal signals constrain conventional user identification using EMG signals in improving accuracy by using the 1-D feature from each time and frequency domain. Therefore, multidimensional features containing time-frequency information extracted from EMG signals have attracted much attention to improving identification accuracy...
January 16, 2024: Scientific Reports
https://read.qxmd.com/read/38220162/actual-state-of-the-diurnal-masseteric-electromyogram-differences-between-awareness-and-non-awareness-of-awake-bruxism
#34
JOURNAL ARTICLE
Tomoya Ishimaru, Taihiko Yamaguchi, Taishi Saito, Yoshinori Hattori, Takahiro Ono, Yoshiaki Arai, Yoko Hasegawa, Hiroshi Shiga, Katsushi Tamaki, Junko Tanaka, Kazuhiro Tsuga, Hitoshi Abekura, Shouichi Miyawaki, Aya Maeda-Lino, Saki Mikami, Akihito Gotouda, Kaoru Satoh, Koichi Shimizu, Yuji Kato, Takeshi Namita
PURPOSE: This study aimed to elucidate the relationship between diurnal masseter muscle activity and awareness of diurnal awake bruxism (d-AB) by conducting a comparative analysis of electromyographic (EMG) data from individuals with and without awareness of diurnal awake bruxism (d-AB), utilizing EMG data gathered from multiple subjects. METHODS: Unilateral masseter electromyography (EMG) recordings were performed during the daytime using an ultraminiature wearable EMG device...
January 12, 2024: Journal of Prosthodontic Research
https://read.qxmd.com/read/38218118/mixsleepnet-a-multi-type-convolution-combined-sleep-stage-classification-model
#35
JOURNAL ARTICLE
Xiaopeng Ji, Yan Li, Peng Wen, Prabal Barua, U Rajendra Acharya
BACKGROUND AND OBJECTIVE: Sleep staging is an essential step for sleep disorder diagnosis, which is time-intensive and laborious for experts to perform this work manually. Automatic sleep stage classification methods not only alleviate experts from these demanding tasks but also enhance the accuracy and efficiency of the classification process. METHODS: A novel multi-channel biosignal-based model constructed by the combination of a 3D convolutional operation and a graph convolutional operation is proposed for the automated sleep stages using various physiological signals...
December 27, 2023: Computer Methods and Programs in Biomedicine
https://read.qxmd.com/read/38215325/towards-efficient-neural-decoder-for-dexterous-finger-force-predictions
#36
JOURNAL ARTICLE
Jiahao Fan, Xiaogang Hu
OBJECTIVE: Dexterous control of robot hands requires a robust neural-machine interface capable of accurately decoding multiple finger movements. Existing studies primarily focus on single-finger movement or rely heavily on multi-finger data for decoder training, which requires large datasets and high computation demand. In this study, we investigated the feasibility of using limited single-finger surface electromyogram (sEMG) data to train a neural decoder capable of predicting the forces of unseen multi-finger combinations...
January 12, 2024: IEEE Transactions on Bio-medical Engineering
https://read.qxmd.com/read/38199868/sleep-disturbance-correlated-with-severity-of-neuropathic-pain-in-sciatic-nerve-crush-injury-model
#37
JOURNAL ARTICLE
Anh Ho, Sung-Jun Lee, Victor J Drew, Jieun Jung, Jiseung Kang, Tae Kim, Chanyoung Cheong
The association between sleep and pain has been investigated widely. However, inconsistent results from animal studies compared with human data show the need for a validated animal model in the sleep-pain association field. Our study aims to validate common neuropathic pain models as a tool for evaluating the sleep-pain association. Electrodes electroencephalogram (EEG) and electromyogram (EMG) were surgically implanted to measure sleep. The von Frey test was used to measure pain sensitivity. Following the baseline data acquisition, two pain-modelling procedures were performed: sciatic nerve crush injury (SCI) and common peroneal nerve ligation (CPL)...
January 10, 2024: Journal of Sleep Research
https://read.qxmd.com/read/38191159/effect-of-the-staging-comprehensive-treatment-with-acupuncture-moxibustion-on-bell-s-facial-palsy-in-the-acute-stage
#38
RANDOMIZED CONTROLLED TRIAL
Jiajie Chen, Haiping Shi, Wanli Gao, Xiaowei Li, Yuling Shu, Yongzhe Wang, Binjian Jiang, Jun Yang, Pin Wang
OBJECTIVES: To compare the clinical effect on Bell's facial palsy in the acute stage between the staging comprehensive treatment with acupuncture-moxibustion and western medication. METHODS: Sixty patients with Bell's facial palsy in the acute stage were randomly divided into an observation group and a control group, with 30 cases in each one. The patients in the control group were administered orally with prednisone acetate tablets and methylcobalamin tablets until the 28th day of illness...
January 12, 2024: Zhongguo Zhen Jiu, Chinese Acupuncture & Moxibustion
https://read.qxmd.com/read/38176027/modified-motor-unit-properties-in-residual-muscle-following-transtibial-amputation
#39
JOURNAL ARTICLE
Noah Rubin, Robert Hinson, Katherine Saul, William Filer, Xiaogang Hu, He Helen Huang

Neural signals in residual muscles of amputated limbs are frequently decoded to control powered prostheses. Yet myoelectric controllers assume muscle activity of residual muscle is similar to that of intact muscle. This study sought to understand potential changes to motor unit (MU) properties after limb amputation.
Approach.
Six people with unilateral transtibial amputation were recruited. Surface electromyogram (EMG) of residual and intact tibialis anterior (TA) and gastrocnemius (GA) muscles were recorded while subjects traced profiles targeting up to 20 and 35% of maximum activation for each muscle (isometric for intact limbs)...
January 4, 2024: Journal of Neural Engineering
https://read.qxmd.com/read/38169465/bionic-artificial-skin-with-a-fully-implantable-wireless-tactile-sensory-system-for-wound-healing-and-restoring-skin-tactile-function
#40
JOURNAL ARTICLE
Kyowon Kang, Seongryeol Ye, Chanho Jeong, Jinmo Jeong, Yeong-Sinn Ye, Jin-Young Jeong, Yu-Jin Kim, Selin Lim, Tae Hee Kim, Kyung Yeun Kim, Jong Uk Kim, Gwan In Kim, Do Hoon Chun, Kiho Kim, Jaejin Park, Jung-Hoon Hong, Byeonghak Park, Kyubeen Kim, Sujin Jung, Kyeongrim Baek, Dongjun Cho, Jin Yoo, Kangwon Lee, Huanyu Cheng, Byung-Wook Min, Hyun Jae Kim, Hojeong Jeon, Hyunjung Yi, Tae-Il Kim, Ki Jun Yu, Youngmee Jung
Tactile function is essential for human life as it enables us to recognize texture and respond to external stimuli, including potential threats with sharp objects that may result in punctures or lacerations. Severe skin damage caused by severe burns, skin cancer, chemical accidents, and industrial accidents damage the structure of the skin tissue as well as the nerve system, resulting in permanent tactile sensory dysfunction, which significantly impacts an individual's daily life. Here, we introduce a fully-implantable wireless powered tactile sensory system embedded artificial skin (WTSA), with stable operation, to restore permanently damaged tactile function and promote wound healing for regenerating severely damaged skin...
January 2, 2024: Nature Communications
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