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1.
J Neonatal Perinatal Med ; 16(4): 725-729, 2023.
Article in English | MEDLINE | ID: mdl-38143382

ABSTRACT

In this case report, we describe two repeated transcutaneous electromyography of the diaphragm (dEMG) measurements in an infant with suspected paresis of the right hemidiaphragm after cardiac surgery. The first measurement, performed at the time of diagnosis, showed a lower electrical activity of the right side of the diaphragm in comparison with the left side. The second measurement, performed after a period of expectative management, showed that electrical activity of the affected side had increased and was similar to the activity of the left diaphragm. This finding was accompanied by an improvement in the clinical condition. In conclusion, repeated measurement of diaphragmatic activity using transcutaneous dEMG enables the observation and quantification of spontaneous recovery over time. This information may assist the clinician in identifying patients not responding to expectative management and in determining the optimal timing of diaphragmatic surgery.


Subject(s)
Infant, Premature , Paresis , Infant, Newborn , Infant , Humans , Electromyography , Prospective Studies , Paresis/diagnosis , Paresis/etiology , Diaphragm
2.
J Electromyogr Kinesiol ; 48: 176-186, 2019 Oct.
Article in English | MEDLINE | ID: mdl-31401341

ABSTRACT

Transcutaneous electromyography (tc-EMG) has been used to measure the electrical activity of respiratory muscles during inspiration in various studies. Processing the raw tc-EMG signal of these inspiratory muscles has shown to be difficult as baseline noise, cardiac interference, cross-talk and motion artefacts can influence the signal quality. In this review we will discuss the most important sources of signal noise in tc-EMG of respiratory muscles and the various techniques described to suppress or reduce this signal noise. Furthermore, we will elaborate on the options available to develop or improve an algorithm that can be used to guide the approach for analysis of tc-EMG signals of inspiratory muscles in future research.


Subject(s)
Electromyography/methods , Respiratory Muscles/physiology , Electromyography/standards , Humans , Signal Processing, Computer-Assisted
3.
Clin Physiol Funct Imaging ; 38(3): 409-415, 2018 May.
Article in English | MEDLINE | ID: mdl-28402088

ABSTRACT

BACKGROUND: Many patients with chronic obstructive pulmonary disease (COPD) experience dyspnoea during exercise, resulting in a reduction of physical activity (PA). Dynamic hyperinflation (DH) is seen as a major cause of dyspnoea in COPD. OBJECTIVE: The objective of the current study was to investigate the relationship between DH, in terms of the amount of DH and the development and recovery rate of DH in patients with COPD, and PA. METHODS: Thirty-five patients with stable COPD were included from an outpatient clinic (14 GOLD II and 21 GOLD III, median age 65). PA was assessed using an accelerometer. Subjects underwent metronome-paced tachypnoea (MPT) to induce DH. To quantify the amount of DH during MPT, a decrease in inspiratory capacity (IC) or a change in IC as percentage of total lung capacity was used. RESULTS: No significant correlations were found between the parameters describing DH and PA. Secondary correlation analyses showed a negative correlation between static hyperinflation (SH) and PA (r = -0·39; P = 0·02). The pattern of breathing during MPT and the test itself showed high interpatient variability. CONCLUSIONS: The absence of a significant correlation between DH and PA is contrary to previous studies. SH did show a correlation with PA. The variety in results and the technical difficulties in execution of the measurements ask for a new, more reliable, method to detect DH and investigate its relation with PA in patients with COPD.


Subject(s)
Dyspnea/etiology , Exercise Tolerance , Exercise , Lung/physiopathology , Pulmonary Disease, Chronic Obstructive/complications , Respiration , Actigraphy/methods , Adult , Aged , Aged, 80 and over , Dyspnea/diagnosis , Dyspnea/physiopathology , Female , Fitness Trackers , Humans , Inspiratory Capacity , Male , Middle Aged , Pulmonary Disease, Chronic Obstructive/diagnosis , Pulmonary Disease, Chronic Obstructive/physiopathology , Spirometry , Time Factors
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