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Item type:Publication, Access status: with files , Measuring respiratory surface EMG with ECG electrode leads(Infinite Science Publishing, 2026-03); ; ; Surface electromyography (sEMG) offers potential for analyzing patient-ventilator interactions and respiratory effort. Despite being promising, it is not yet clinically established, unlike electrocardiography (ECG), which shares the same physiological principles for cardiac monitoring. This study investigates ECG leads for capturing respiratory muscle signals in 20 healthy subjects during quiet and resistance breathing. Performance was quantified by signal-to-noise ratios between inspiratory activity and (1) baseline noise / (2) expiratory activity. ECG leads were suitable for monitoring respiration, with performance enhanced by combining ECG electrodes with respiratory sEMG electrodes. The findings support integrating respiratory sEMG into clinical practice using ECG electrodes without compromising cardiac monitoring.Publicationtype: Conference Paper2 10 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: with files , The influence of muscle shapes on HDsEMG decomposition yield and accuracyThe application of high-density surface electromyography in conjunction with decomposition algorithms has enabled decoding of motor unit (MU) firings. In developing such algorithms, model-based simulation is an established means to assess yield and accuracy. In this work, we therefore investigate how the simulated muscle shape impacts the decomposition performance. To this end, an arm model with an anatomical biceps brachii shape was developed, and its plausibility in representing MU action potential waveforms was verified with decomposition of experimental, submaximal ramp contractions. From this anatomical muscle shape model, two simplified shapes were derived. In a simulation study, comparable fiber pathways and MU properties were used in anatomical and simplified muscle shape models, and a blind source separation-based decomposition was performed. The results were evaluated with respect to the number of identified MUs and their rate of agreement (RoA). Across all models, MUs with the highest energy contribution were identified. For the two simplified shapes, statistically significantly more MUs (p <0.05) were decomposed due to changed electrode-fiber distances, while the RoA remained consistently high above 94.63±12.16% indicating reliable MU property extraction with all three models. The results emphasize the benefit of anatomically accurate muscle shape models since small simplifications can affect decomposition yield.Publicationtype: Journal Article19 9 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: with files , A quantitative comparison of electrode positions for respiratory surface EMGObjective: Respiratory surface electromyography (sEMG) is a promising physiological signal for analyzing respiratory effort, patient-ventilator asynchrony, and respiratory training. In clinical research, a wide variety of different setups are used and no consensus has yet been reached on the positioning of electrodes. Therefore, this work aims to quantitatively compare both unilateral and bilateral bipolar electrode leads. Methods: Recordings of diaphragmatic and intercostal muscle activity were performed in 20 young and healthy adults using a setup with 64 electrodes placed in relation to prominent anatomical lines. Subjects completed three breathing maneuvers: 300 s quiet breathing, 5 maximum inspiratory pressure (MIP) trials, and 15 breaths of resistance breathing at 20 % of the MIP. To quantify the performance of differential electrode leads, three metrics were determined: the ratio between inspiratory muscle activity and (1) baseline noise (SNRbase), (2) expiratory muscle activity (SNRexp), and (3) ECG interference (SNREMG-ECG). Results: The study revealed considerable differences between bipolar electrode positions. Our results support the use of bilateral positions on the midclavicular line and parasternal line for measuring diaphragm and intercostal activity. For intercostal muscles, there is a high flexibility in positioning electrodes more lateral or medial, if necessary. Unilateral leads do not appear to outperform the bilateral configuration as SNR metrics were consistently smaller. Conclusion: This study provides recommendations for electrode placements and is a first step towards standardization of respiratory sEMG measurements. Significance: This electrode lead standardization will be essential to increase clinical acceptance in the future.Publicationtype: Journal Article19 24 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Simulation of diaphragmatic motor unit action potentials throughout the respiratory cycle using a dynamic breathing model(IEEE, 2025-07); ; ; ; Surface electromyography (sEMG) is a noninvasive measurement technique recording the temporal and spatial superposition of active motor units (MU) during muscle contraction. sEMG of the respiratory muscles is a promising method for measuring breathing effort and for quantifying patient-ventilator interactions. In the past, several mathematical sEMG models have been developed for isometric muscle contractions. However, these are not yet capable of representing the highly dynamic movement of breathing. To fill this gap, we developed a pipeline for simulating diaphragmatic MU action potentials (MUAPs) throughout the respiratory cycle. Our approach involved image registration between end-expiratory and end-inspiratory MRI data, discretization of the inspiratory phase into six finite element models, automated generation of muscle fiber pathways, and computation of MUAPs. A simulation of a linear electrode array produced plausible MUAP waveforms, which change across the breathing cycle due to muscle fiber pathway shortening and lateral shifts in electrode source distance. The modeling approach establishes a foundation for dynamic sEMG simulations of respiratory muscles.Clinical relevance - The proposed modeling pipeline for myoelectric simulations of the diaphragm across the respiratory cycle will enable physiological insights, the investigation of measurement parameters, and the analysis of signal processing algorithms in the context of respiratory sEMG.Publicationtype: Conference Paper14