Literature DB >> 30530375

Evaluation of a Wearable Device to Determine Cardiorespiratory Parameters From Surface Diaphragm Electromyography.

Magda Rafols-de-Urquia, Luis Estrada, Josep Estevez-Piorno, Leonardo Sarlabous, Raimon Jane, Abel Torres.   

Abstract

The use of wearable devices in clinical routines could reduce healthcare costs and improve the quality of assessment in patients with chronic respiratory diseases. The purpose of this study is to evaluate the capacity of a Shimmer3 wearable device to extract reliable cardiorespiratory parameters from surface diaphragm electromyography (EMGdi). Twenty healthy volunteers underwent an incremental load respiratory test whilst EMGdi was recorded with a Shimmer3 wearable device (EMGdiW). Simultaneously, a second EMGdi (EMGdiL), inspiratory mouth pressure (Pmouth) and lead-I electrocardiogram (ECG) were recorded via a standard wired laboratory acquisition system. Different cardiorespiratory parameters were extracted from both EMGdiW and EMGdiL signals: heart rate, respiratory rate, respiratory muscle activity, and mean frequency of EMGdi signals. Alongside these, similar parameters were also extracted from reference signals (Pmouth and ECG). High correlations were found between the data extracted from the EMGdiW and the reference signal data: heart rate (R = 0.947), respiratory rate (R = 0.940), respiratory muscle activity (R = 0.877), and mean frequency (R = 0.895). Moreover, similar increments in EMGdiW and EMGdiL activity were observed when Pmouth was raised, enabling the study of respiratory muscle activation. In summary, the Shimmer3 device is a promising and cost-effective solution for the ambulatory monitoring of respiratory muscle function in chronic respiratory diseases.

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Year:  2018        PMID: 30530375     DOI: 10.1109/JBHI.2018.2885138

Source DB:  PubMed          Journal:  IEEE J Biomed Health Inform        ISSN: 2168-2194            Impact factor:   5.772


  3 in total

1.  Performance Evaluation of Fixed Sample Entropy in Myographic Signals for Inspiratory Muscle Activity Estimation.

Authors:  Manuel Lozano-García; Luis Estrada; Raimon Jané
Journal:  Entropy (Basel)       Date:  2019-02-15       Impact factor: 2.524

2.  Electrodeless Heart and Respiratory Rate Estimation during Sleep Using a Single Fabric Band and Event-Based Edge Processing.

Authors:  Titus Jayarathna; Gaetano D Gargiulo; Gough Y Lui; Paul P Breen
Journal:  Sensors (Basel)       Date:  2022-09-04       Impact factor: 3.847

3.  Noninvasive Assessment of Neuromechanical Coupling and Mechanical Efficiency of Parasternal Intercostal Muscle during Inspiratory Threshold Loading.

Authors:  Manuel Lozano-García; Luis Estrada-Petrocelli; Abel Torres; Gerrard F Rafferty; John Moxham; Caroline J Jolley; Raimon Jané
Journal:  Sensors (Basel)       Date:  2021-03-04       Impact factor: 3.576

  3 in total

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