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Geoffrey S Meltzner, James T Heaton, Yunbin Deng, Gianluca De Luca, Serge H Roy, Joshua C Kline
Each year thousands of individuals require surgical removal of their larynx (voice box) due to trauma or disease, and thereby require an alternative voice source or assistive device to verbally communicate. Although natural voice is lost after laryngectomy, most muscles controlling speech articulation remain intact. Surface electromyographic (sEMG) activity of speech musculature can be recorded from the neck and face, and used for automatic speech recognition to provide speech-to-text or synthesized speech as an alternative means of communication...
December 2017: IEEE/ACM Transactions on Audio, Speech, and Language Processing
Han Sun, Xiong Zhang, Yacong Zhao, Yu Zhang, Xuefei Zhong, Zhaowen Fan
The novel human-computer interface (HCI) using bioelectrical signals as input is a valuable tool to improve the lives of people with disabilities. In this paper, surface electromyography (sEMG) signals induced by four classes of wrist movements were acquired from four sites on the lower arm with our designed system. Forty-two features were extracted from the time, frequency and time-frequency domains. Optimal channels were determined from single-channel classification performance rank. The optimal-feature selection was according to a modified entropy criteria (EC) and Fisher discrimination (FD) criteria...
March 15, 2018: Sensors
Jonathan M Aquino, Jenevieve L Roper
The purpose of the study was to compare smart apparel (SA) muscle activity measurements to surface electromyography (sEMG) muscle activity measurements during exercise, and determine if any systematic bias of the apparel exists. Thirty-five male participants (Ages 23.1±2.92 yrs, height 178±0.09 cm, mass 81.14±10.59 kg, body fat percentage 15.4±4.79%) provided informed consent for participation. During two separate exercise sessions, participants performed three sets of 12 bodyweight squats and pushups in both SA and sEMG...
2018: International Journal of Exercise Science
Tara Baldacchino, William R Jacobs, Sean R Anderson, Keith Worden, Jennifer Rowson
This contribution presents a novel methodology for myolectric-based control using surface electromyographic (sEMG) signals recorded during finger movements. A multivariate Bayesian mixture of experts (MoE) model is introduced which provides a powerful method for modeling force regression at the fingertips, while also performing finger movement classification as a by-product of the modeling algorithm. Bayesian inference of the model allows uncertainties to be naturally incorporated into the model structure. This method is tested using data from the publicly released NinaPro database which consists of sEMG recordings for 6 degree-of-freedom force activations for 40 intact subjects...
2018: Frontiers in Bioengineering and Biotechnology
Ingrid Naess, Kari Bø
INTRODUCTION AND HYPOTHESIS: The purpose of the present study was to assess whether attempts at a maximal voluntary pelvic floor muscle (PFM) contraction can reduce vaginal resting pressure (VRP) and surface EMG activity in women with and without provoked vestibulodynia (PVD). METHOD: An assessor blinded comparison study included 35 women with and 35 women without PVD. VRP and PFM strength were measured with a high precision pressure transducer connected to a vaginal balloon (Camtech AS, Sandvika Norway)...
March 12, 2018: International Urogynecology Journal
Ke Li, Na Wei, Mei Cheng, Xingguo Hou, Jun Song
This study investigated the effects of diabetes mellitus (DM) on dynamical coordination of hand intrinsic muscles during precision grip. Precision grip was tested using a custom designed apparatus with stable and unstable loads, during which the surface electromyographic (sEMG) signals of the abductor pollicis brevis (APB) and first dorsal interosseous (FDI) were recorded simultaneously. Recurrence quantification analysis (RQA) was applied to quantify the dynamical structure of sEMG signals of the APB and FDI; and cross recurrence quantification analysis (CRQA) was used to assess the intermuscular coupling between the two intrinsic muscles...
March 12, 2018: Scientific Reports
Ganesh R Naik, S Easter Selvan, Sridhar P Arjunan, Amit Acharyya, Dinesh K Kumar, Arvind Ramanujam, Hung T Nguyen
Surface electromyography (sEMG) data acquired during lower limb movements has the potential for investigating knee pathology. Nevertheless, a major challenge encountered with sEMG signals generated by lower limb movements is the intersubject variability, because the signals recorded from the leg or thigh muscles are contingent on the characteristics of a subject such as gait activity and muscle structure. In order to cope with this difficulty, we have designed a three-step classification scheme. First, the multichannel sEMG is decomposed into activities of the underlying sources by means of independent component analysis via entropy bound minimization...
March 2018: IEEE Transactions on Neural Systems and Rehabilitation Engineering
Dan Sun, Wei Xu, Na Chen, Shi-Min Li, Tian Fu
OBJECTIVE: To observe the clinical efficacy of intradermal needle-embedding therapy in the treatment of dysphagia in stroke patients. METHODS: A total of 80 stroke patients with dysphagia were randomly divided into treatment group and control group ( n = 40 in each). The control group was treated with conventional medicines, neuromuscular electrical stimulation of the bilateral midlines of the neck and swallowing function training, and the treatment group treated by intradermal needle-embedding at Lianquan (CV 23), Jialianquan-point, Yifeng (TE 17), Ashi-point, etc...
February 25, 2018: Zhen Ci Yan Jiu, Acupuncture Research
Çağdaş Topçu, Hilmi Uysal, Ömer Özkan, Özlenen Özkan, Övünç Polat, Merve Bedeloğlu, Arzu Akgül, Ela Naz Döğer, Refik Sever, Ömer Halil Çolak
BACKGROUND: We assessed the recovery of 2 face transplantation patients with measures of complexity during neuromuscular rehabilitation. Cognitive rehabilitation methods and functional electrical stimulation were used to improve facial emotional expressions of full-face transplantation patients for 5 months. Rehabilitation and analyses were conducted at approximately 3 years after full facial transplantation in the patient group. We report complexity analysis of surface electromyography signals of these two patients in comparison to the results of 10 healthy individuals...
March 6, 2018: Journal of Neuroengineering and Rehabilitation
E Ferrari, G Cooper, N D Reeves, E F Hodson-Tole
Intrinsic foot muscles (IFM) are a crucial component within the human foot. Investigating their functioning can help understand healthy and pathological behaviour of foot and ankle, fundamental for everyday activities. Recording muscle activation from IFM has been attempted with invasive techniques, mainly investigating single muscles. Here we present a novel methodology, to investigate the feasibility of recording physiological surface EMG (sEMG) non-invasively and quantify patterns of activation across the whole plantar region of the foot...
February 27, 2018: Journal of Electromyography and Kinesiology
Kai Wang, Xianmin Zhang, Jun Ota, Yanjiang Huang
This paper proposes a nonlinear correlation-based wavelet scale selection technology to select the effective wavelet scales for the estimation of handgrip force from surface electromyograms (SEMG). The SEMG signal corresponding to gripping force was collected from extensor and flexor forearm muscles during the force-varying analysis task. We performed a computational sensitivity analysis on the initial nonlinear SEMG-handgrip force model. To explore the nonlinear correlation between ten wavelet scales and handgrip force, a large-scale iteration based on the Monte Carlo simulation was conducted...
February 24, 2018: Sensors
Yao Zhang, Yanjian Liao, Xiaoying Wu, Lin Chen, Qiliang Xiong, Zhixian Gao, Xiaolin Zheng, Guanglin Li, Wensheng Hou
So far, little is known how the sample assignment of surface electromyogram (sEMG) features in training set influences the recognition efficiency of hand gesture, and the aim of this study is to explore the impact of different sample arrangements in training set on the classification of hand gestures dominated with similar muscle activation patterns. Seven right-handed healthy subjects (24.2 ± 1.2 years) were recruited to perform similar grasping tasks (fist, spherical, and cylindrical grasping) and similar pinch tasks (finger, key, and tape pinch)...
2018: Frontiers in Neurorobotics
Baohua Hu, Xiufeng Zhang, Jingsong Mu, Ming Wu, Yong Wang
BACKGROUND: Most of the objective and quantitative methods proposed for spasticity measurement are not suitable for clinical application, and methods for surface electromyography (sEMG) signal processing are mainly limited to the time-domain. This study aims to quantify muscle activity in the time-frequency domain, and develop a practical clinical method for the objective and reliable evaluation of the spasticity based on the Hilbert-Huang transform marginal spectrum entropy (HMSEN) and the root mean square (RMS) of sEMG signals...
February 27, 2018: Biomedical Engineering Online
Xugang Xi, Minyan Tang, Zhizeng Luo
Surface electromyography (sEMG) signals are commonly used in activity monitoring and rehabilitation applications as they reflect effectively the motor intentions of users. However, real-time sEMG signals are non-stationary and vary to a large extent within the time frame of signals. Although previous studies have focused on the issues, their results have not been satisfactory. Therefore, we present a new method of conducting feature-level fusion to obtain a new feature space for sEMG signals. Eight activities of daily life (ADLs), including falls, were performed to obtain raw data from EMG signals from the lower limb...
February 17, 2018: Sensors
Francesc Miralles
Objetive. MUNIX is a technique based on surface electromyogram (sEMG) that is gaining acceptance as a method to monitoring motor neuron loss because is reliable and produces less discomfort than other electrodiagnostic techniques aimed to the same purpose. MUNIX assumes that the relationship between the area of sEMG obtained at increasing levels of muscle activation and the values of a variable called "Ideal case motor unit count" (ICMUC), defined as the product of the ratio between area and power of the M-wave by that of the sEMG, is described by a decreasing power function...
February 9, 2018: Journal of Neural Engineering
Wei Li, Yan-Cheng Liu, Chen-Fan Zheng, Jun Miao, Hui Chen, Hai-Ying Quan, Song-Hua Yan, Kuan Zhang
OBJECTIVE: To establish a logistic regression model using surface electromyography (SEMG) parameters for diagnosing the compressed nerve root at L 5 or S 1 level in patients with lumbar disc herniation (LDH). METHODS: This study recruited 24 patients with L 5 nerve root compression and 23 patients with S 1 nerve root compression caused by LDH from May 2014 to May 2016. SEMG signals from the bilateral tibialis anterior and lateral gastrocnemius were measured. The root mean square (RMS), the RMS peak time, the mean power frequency (MPF), and the median frequency (MF) were analyzed...
February 9, 2018: Orthopaedic Surgery
Filiz Ateş, Brenda L Davies, Swati Chopra, Krista Coleman-Wood, William J Litchy, Kenton R Kaufman
Intramuscular pressure (IMP) is the hydrostatic fluid pressure that is directly related to muscle force production. Electromechanical delay (EMD) provides a link between mechanical and electrophysiological quantities and IMP has potential to detect local electromechanical changes. The goal of this study was to assess the relationship of IMP with the mechanical and electrical characteristics of the tibialis anterior muscle (TA) activity at different ankle positions. We hypothesized that (1) the TA IMP and the surface EMG (sEMG) and fine-wire EMG (fwEMG) correlate to ankle joint torque, (2) the isometric force of TA increases at increased muscle lengths, which were imposed by a change in ankle angle and IMP follows the length-tension relationship characteristics, and (3) the electromechanical delay (EMD) is greater than the EMD of IMP during isometric contractions...
2018: Frontiers in Physiology
Victor Hugo Souza, Oswaldo Baffa, Marco A C Garcia
Lateralized neural control over hand muscles has been associated with anatomical and physiological asymmetries in the central nervous system. Some studies suggested that the dominant cerebral hemisphere exhibit larger cortical representation areas with lower excitability, while others reported higher cortical excitability in dominant side compared to the contralateral, or even could not find any differences. Thus, neurophysiological lateral asymmetries are still controversial. This study aimed to evaluate differences in dominant and non-dominant sides in motor evoked potentials (MEPs) distribution and investigate whether conventional montages and high-density surface electromyography (HD-sEMG) provide reliable measurements of corticospinal excitability...
February 3, 2018: Brain Research
Ho Chit Siu, Ana M Arenas, Tingxiao Sun, Leia A Stirling
Upper-extremity exoskeletons have demonstrated potential as augmentative, assistive, and rehabilitative devices. Typical control of upper-extremity exoskeletons have relied on switches, force/torque sensors, and surface electromyography (sEMG), but these systems are usually reactionary, and/or rely on entirely hand-tuned parameters. sEMG-based systems may be able to provide anticipatory control, since they interface directly with muscle signals, but typically require expert placement of sensors on muscle bodies...
February 5, 2018: Sensors
Mert Ergeneci, Kaan Gokcesu, Erhan Ertan, Panagiotis Kosmas
Wearable technology has gained increasing popularity in the applications of healthcare, sports science, and biomedical engineering in recent years. Because of its convenient nature, the wearable technology is particularly useful in the acquisition of the physiological signals. Specifically, the (surface electromyography) sEMG systems, which measure the muscle activation potentials, greatly benefit from this technology in both clinical and industrial applications. However, the current wearable sEMG systems have several drawbacks including inefficient noise cancellation, insufficient measurement quality, and difficult integration to customized applications...
February 2018: IEEE Transactions on Biomedical Circuits and Systems
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