scholarly journals The Effect of Sleeve Pattern and Fit on E-Textile Electromyography (EMG) Electrode Performance in Smart Clothing Design

Sensors ◽  
2021 ◽  
Vol 21 (16) ◽  
pp. 5621
Author(s):  
Gozde Goncu-Berk ◽  
Bilge Guvenc Tuna
Keyword(s):  
Signal To Noise Ratio ◽  
Arm Movement ◽  
The Body ◽  
Superior Performance ◽  
Skin Impedance ◽  
Signal Quality ◽  
Electrode Performance ◽  
Smart Clothing ◽  
Emg Signal ◽  
Textile Electrode

When e-textile EMG electrodes are integrated into clothing, the fit of the clothing on the body, and therefore its pattern and cut become important factors affecting the EMG signal quality in relation to the seamless contact between the skin and the e-textile electrode. The research so far on these effects was conducted on commercially available clothing or in tubular sleeve forms for arms. There is no study that investigated different clothing pattern and fit conditions and their effect on e-textile EMG electrode performance. This study investigates the effect of clothing pattern and fit in EMG applications using e-textile electrodes integrated onto the sleeves of custom drafted t-shirts in set-in and raglan sleeve pattern variations. E-textile electrode resistance, signal-to-noise ratio (SNRdB), power spectral density and electrode–skin impedance are measured and evaluated in set-in sleeve and raglan sleeve conditions with participants during a standardized arm movement protocol in comparison to the conventional hydrogel Ag/AgCl electrodes. The raglan sleeve pattern, widely used in athletic wear to provide extra ease for the movement of the shoulder joint, showed superior performance and therefore indicated the pattern and cut of a garment could have significant effect on EMG signal quality in designing smart clothing.

A Tripolar Electromyography Device With Active Electrode-Skin Impedance Imbalance Compensation

2021 ◽  
Author(s):  
Alexander J. Towse ◽  
Benjamin C. Fortune ◽  
Chistopher G. Pretty ◽  
Michael P. Hayes
Keyword(s):  
Marked Reduction ◽  
Development Process ◽  
Skin Impedance ◽  
Signal Quality ◽  
Electrode Impedance ◽  
Compensation Circuit ◽  
Limited Effect ◽  
Active Electrode ◽  
Emg Signal ◽  
Electrical Interference

Abstract This paper discusses the development of a tripolar EMG device featuring electrode impedance compensation circuitry. The device also includes circuitry to test the effectiveness of these features at improving EMG signal quality. Due to various factors, the electrode-skin impedance of different electrodes is typically imbalanced. This imbalance increases EMG susceptibility to electrical noise. These issues can be mitigated by applying impedance compensation. This was done for a tripolar configuration specifically to also reduce interference due to crosstalk. The development process and design choices behind the device features are discussed, with particular focus on the impedance compensation circuit. This includes key components used, and the justification behind their selection. Testing found the tripolar electrode configuration had limited effect on crosstalk interference. Fortunately, the impedance compensation circuit could successfully correct for impedance imbalance. This led to a marked reduction in noise due to electrical interference, such as from 50Hz mains hum.

scholarly journals Signal quality as Achilles’ heel of graph theory in functional magnetic resonance imaging in multiple sclerosis

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Johan Baijot ◽  
Stijn Denissen ◽  
Lars Costers ◽  
Jeroen Gielen ◽  
Melissa Cambron ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Signal To Noise Ratio ◽  
Pearson Correlation ◽  
Signal Quality ◽  
Network Parameters ◽  
Fmri Signal ◽  
Noise Ratio ◽  
Global And Local ◽  
The Brain ◽  
Local Brain

AbstractGraph-theoretical analysis is a novel tool to understand the organisation of the brain.We assessed whether altered graph theoretical parameters, as observed in multiple sclerosis (MS), reflect pathology-induced restructuring of the brain's functioning or result from a reduced signal quality in functional MRI (fMRI). In a cohort of 49 people with MS and a matched group of 25 healthy subjects (HS), we performed a cognitive evaluation and acquired fMRI. From the fMRI measurement, Pearson correlation-based networks were calculated and graph theoretical parameters reflecting global and local brain organisation were obtained. Additionally, we assessed metrics of scanning quality (signal to noise ratio (SNR)) and fMRI signal quality (temporal SNR and contrast to noise ratio (CNR)). In accordance with the literature, we found that the network parameters were altered in MS compared to HS. However, no significant link was found with cognition. Scanning quality (SNR) did not differ between both cohorts. In contrast, measures of fMRI signal quality were significantly different and explained the observed differences in GTA parameters. Our results suggest that differences in network parameters between MS and HS in fMRI do not reflect a functional reorganisation of the brain, but rather occur due to reduced fMRI signal quality.

Physiological function and neuromuscular recruitment in elite South African distance runners

2004 ◽  
Vol 1 (4) ◽  
pp. 261-271 ◽  
Author(s):  
Timothy D Noakes ◽  
Yolande XR Harley ◽  
Andrew N Bosch ◽  
Frank E Marino ◽  
Alan St Clair Gibson ◽  
...  
Keyword(s):  
South African ◽  
Exercise Physiology ◽  
The Body ◽  
Running Economy ◽  
Superior Performance ◽  
Black Athletes ◽  
Training Environment ◽  
Complex Biological System ◽  
Black African ◽  
Black South African

AbstractPhysiological studies of elite and sub-elite black South African runners show that these athletes are typically about 10–12 kg lighter than white athletes and that they are able to sustain higher exercise intensities for longer than white runners. Such superior performance is not a result of higher V O2max values and hence cannot be due to superior oxygen delivery to the active muscles during maximal exercise, as is predicted by the traditional cardiovascular/anaerobic/catastrophic models of exercise physiology. A marginally superior running economy is also unlikely to be a crucial determinant in explaining this apparent superiority. However, black athletes are able to sustain lower rectal and thigh, but higher mean skin, temperatures during exercise. Furthermore, when exercising in the heat, lighter black athletes are able to maintain higher running speeds than are larger white runners matched for running performance in cool environmental conditions. According to the contrasting theory that the body acts as a complex system during exercise, the superiority of black African athletes should be sought in an enhanced capacity to maintain homeostasis in all their inter-dependent biological systems despite running at higher relative exercise intensities and metabolic rates. In this case, any explanation for the success of East African runners will be found in the way in which their innate physiology, training, environment, expectations and genes influence the function of those parts of their subconscious (and conscious) brains that appear to regulate the protection of homeostasis during exercise as part of an integrative, complex biological system.

scholarly journals Novel dry electrode EEG headbands for home use: Comparing performance and comfort

2020 ◽  
Vol 6 (3) ◽  
pp. 139-142
Author(s):  
Jens Haueisen ◽  
Patrique Fiedler ◽  
Anna Bernhardt ◽  
Ricardo Gonçalves ◽  
Carlos Fonseca
Keyword(s):  
Brain Activity ◽  
Skin Impedance ◽  
Signal Quality ◽  
The Novel ◽  
Application Time ◽  
Dry Electrodes ◽  
Power Spectral ◽  
Dry Electrode ◽  
Increasing Trend ◽  
Eeg Recordings

AbstractMonitoring brain activity at home using electroencephalography (EEG) is an increasing trend for both medical and non-medical applications. Gel-based electrodes are not suitable due to the gel application requiring extensive preparation and cleaning support for the patient or user. Dry electrodes can be applied without prior preparation by the patient or user. We investigate and compare two dry electrode headbands for EEG acquisition: a novel hybrid dual-textile headband comprising multipin and multiwave electrodes and a neoprene-based headband comprising hydrogel and spidershaped electrodes. We compare the headbands and electrodes in terms of electrode-skin impedance, comfort, electrode offset potential and EEG signal quality. We did not observe considerable differences in the power spectral density of EEG recordings. However, the hydrogel electrodes showed considerably increased impedances and offset potentials, limiting their compatibility with many EEG amplifiers. The hydrogel and spider-shaped electrodes required increased adduction, resulting in a lower wearing comfort throughout the application time compared to the novel headband comprising multipin and multiwave electrodes.

scholarly journals Methods of Power Line Interference Elimination in EMG Signal

2019 ◽  
Vol 40 ◽  
pp. 64-70
Author(s):  
Martina Ladrova ◽  
Radek Martinek ◽  
Jan Nedoma ◽  
Marcel Fajkus
Keyword(s):  
Signal To Noise Ratio ◽  
Notch Filter ◽  
Correlation Coefficients ◽  
Power Line ◽  
Shape Distortion ◽  
Emg Signal ◽  
Wide Range ◽  
Interference Elimination ◽  
Power Line Interference ◽  
Line Interference

Electromyogram (EMG) recordings are often corrupted by the wide range of artifacts, which one of them is power line interference (PLI). The study focuses on some of the well-known signal processing approaches used to eliminate or attenuate PLI from EMG signal. The results are compared using signal-to-noise ratio (SNR), correlation coefficients and Bland-Altman analysis for each tested method: notch filter, adaptive noise canceller (ANC) and wavelet transform (WT). Thus, the power of the remaining noise and shape of the output signal are analysed. The results show that the ANC method gives the best output SNR and lowest shape distortion compared to the other methods.

scholarly journals The Speed of Large-Scale Transformation of Political and Economic Institutions

2018 ◽  
Vol 18 (4) ◽  
pp. 555-583
Author(s):  
Ružica Šimić Banović ◽  
Martina Basarac Sertić ◽  
Valentina Vučković
Keyword(s):  
Market Economy ◽  
Large Scale ◽  
Shock Therapy ◽  
The Body ◽  
Economic Indicators ◽  
Superior Performance ◽  
Scale Transformation ◽  
Member States ◽  
Therapy Approach ◽  
Eu Member States

This article compares the applicability of both the gradual and the shock therapy approach to reform implementation in large-scale change. Using quantitative data, it aims to provide more evidence for the lessons learned from post-socialist transformation. Hence it adds a theoretical and an empirical contribution to the body of literature on great transformations, focusing on their speed and the acceptability of related policy solutions. Despite the predominant inclination towards the gradualist approach to reforms in the initial transition years, economic indicators suggest that the big bang reformers have demonstrated a superior performance over the last (few) decade(s). Still, the approach to (post-)transition processes should be multidimensional and include more than the speed of transformation and key economic indicators. Therefore, a quantitative analysis covers several aspects of socioeconomic change. The analysis of the quality of democracy, market economy, and management performance in post-socialist EU member states indicates that over the last decade the countries that applied the shock therapy approach have performed significantly better in all these areas. This suggests that slow reformers are lagging behind in the development of democratic institutions and a modern market economy, and presumably have insufficient capacities to rapidly catch up with fast reformers. Further research on this topic should tackle the deep roots of socioeconomic development and path-dependent choices (reform speed included), proximity to Western countries, the possible effects of other specific circumstances (such as war), the importance of selected institutions on the performance of post-socialist non-EU member states, and other limitations.

scholarly journals Determination of DVB-T2 Signal Quality in Nigeria: A Case Study of Jos, Plateau State, Nigeria

2021 ◽  
Vol 40 (1) ◽  
pp. 81-88
Author(s):  
E.E.C. Igbonoba ◽  
O. Omoifo
Keyword(s):  
Signal To Noise Ratio ◽  
Empirical Method ◽  
Signal Quality ◽  
Television System ◽  
Jos Plateau ◽  
Television Signal ◽  
Service Areas ◽  
Noise Ratio ◽  
Plateau State

This study presents the evaluation of digital video broadcasting-terrestrial second generation (DVB-T2) Television signal quality in Jos using Integrated Television Services Limited signal. The delivery of quality Television signal remains problematic in Nigeria due to signal attenuation and degradation between the transmitter and receiver station. This is primarily due to environmental and atmospheric perturbations prevalent along the signal paths. This research aim is to determine the signal quality of DVB-T2 Television system in Jos, Plateau State. The simple field measurement methodology was adopted in measuring field strength and channel power parameters. These measurement parameters were used to calculate for carrier-to-noise ratio (CNR) and signal-to-noise ratio (SNR) through empirical method. Finally, CNR and SNR were used to determine the signal quality of DVB-T2 signal in Jos. The result of the research shows that DVB-T2 signal in the primary service areas has good and reliable signal apart from the rocky environments.

Coding Body Language in Sports: The Nonverbal Behavior Coding System for Soccer Penalties

2020 ◽  
pp. 1-15
Author(s):  
Philip Furley ◽  
Alexander Roth
Keyword(s):  
Nonverbal Behavior ◽  
Arm Movement ◽  
Emotional Valence ◽  
The Body ◽  
Emotional States ◽  
Coding System ◽  
Temporal Precision ◽  
Intercoder Reliability ◽  
Coding Schemes ◽  
Behavior Coding

Nonverbal behavior (NVB) plays an important role in sports. However, it has been difficult to measure, as no coding schemes exist to objectively measure NVB in sports. Therefore, the authors adapted the Body Action and Posture Coding System to the context of soccer penalties, validated it, and initially used this system (Nonverbal Behavior Coding System for Soccer Penalties [NBCSP]) to explore NVB in penalties. Study 1 demonstrated that the NBCSP had good to excellent intercoder reliability regarding the occurrence and temporal precision of NVBs. It also showed that the coding system could differentiate certain postures and behaviors as a function of emotional valence (i.e., positive vs. negative emotional states). Study 2 identified differences in NVB for successful and missed shots in a sample of penalties (time spent looking toward the goal, toward the ground, right arm movement, and how upright the body posture was). The authors discuss the utility of the coding system for different sport contexts.

EMG SIGNAL DENOISING USING ADAPTIVE FILTERS THROUGH HYBRID OPTIMIZATION ALGORITHMS

2020 ◽  
pp. 2150009
Author(s):  
Bhattiprolu Nagasirisha ◽  
V. V. K. D. V. Prasad
Keyword(s):  
Adaptive Filters ◽  
Signal To Noise Ratio ◽  
Optimization Algorithms ◽  
Maximum Error ◽  
Recursive Least Squares ◽  
Signal Denoising ◽  
Recording Equipment ◽  
Advantages And Disadvantages ◽  
Emg Signal ◽  
Signal Features

Electromyography (EMG) signal recording equipment is comparatively modern. Still, there are enough restrictions in detection, recording, and characterization of EMG signals because of nonlinearity in the equipment, which leads to noise components. The most commonly affecting artifacts are Power Line Interference (PLI-Noise), Baseline Wander noise (BW-Noise), and Electrocardiogram noise (ECG-Noise). Adaptive filters are advanced and effective solutions for EMG signal denoising, but the improper tuning of filter coefficients leads to noise components in the denoised EMG signal. This defect in adaptive filters triggers or motivates us to optimize the filter coefficients with existing meta-heuristics optimization algorithms. In this paper, Least Mean Squares (LMS) filter and Recursive Least Squares (RLS) adaptive filter coefficients are optimized with a new Hybrid Firefly–Particle Swarm Optimization (HFPSO) by taking the advantages and disadvantages of both the algorithms. Experiments are conducted with the proposed HFPSO and it proved better in EMG signal denoising in terms of the measured parameters like signal-to-noise ratio (SNR) in dB, maximum error (ME), mean square error (MSE), etc. In the second part of the work, the denoised EMG signal features are extracted for the diagnosis of diseases related to myopathy and neuropathy as EMG signal reflects the neuromuscular function and EMG signal examination may contribute to the diagnosis of muscle disorder linked to myopathy and neuropathy.

scholarly journals Wearable Measurement of ECG Signals Based on Smart Clothing

2020 ◽  
Vol 2020 ◽  
pp. 1-9 ◽  
Author(s):  
Ming Li ◽  
Wei Xiong ◽  
Yongjian Li
Keyword(s):  
Human Body ◽  
The Body ◽  
Differential Signal ◽  
Ecg Signals ◽  
Smart Clothing ◽  
Textile Electrodes ◽  
Volume Conductor Model ◽  
Body Surface Potential ◽  
Potential Mapping ◽  
Electrocardiogram Ecg

Smart clothing that can measure electrocardiogram (ECG) signals and monitor the health status of people meets the needs of our increasingly aging society. However, the conventional measurement of ECG signals is complicated and its electrodes can cause irritation to the skin, which makes the conventional measurement method unsuitable for applications in smart clothing. In this paper, a novel wearable measurement of ECG signals is proposed. There are only three ECG textile electrodes knitted into the fabric of smart clothing. The acquired ECG signals can be transmitted to a smartphone via Bluetooth, and they can also be sent out to a PC terminal by a smartphone via WiFi or Internet. To get more significant ECG signals, the ECG differential signal between two electrodes is calculated based on a spherical volume conductor model, and the best positions on the surface of a human body for two textile electrodes to measure ECG signals are simulated by using the body-surface potential mapping (BSPM) data. The results show that position 12 in the lower right and position 11 in the upper left of the human body are the best for the two electrodes to measure ECG signals, and the presented wearable measurement can obtain good performance when one person is under the conditions of sleeping and jogging.

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