The recent surge in interest surrounds the analysis of physiological signals with a non-linear dynamic approach. The measurement of entropy serves as a renowned method for indicating the complexity of a signal. However, there is a dearth of research concerning the non-linear dynamic analysis of respiratory signals. Therefore, this study employs a novel method known as intrinsic entropy (IE) to assess the short-term dynamic changes in thoracoabdominal movement patterns, as measured by respiratory inductance plethysmography (RIP), during various states such as resting, step test, recovery, and iso-volume maneuver (IVM) trials. The findings reveal a decrease in IE of thoracic wall movement (TWM) and an increase in IE of abdominal wall movement (AWM) following the IVM trial. This suggests that AWM may dominate the breathing exercise after the IVM trial. Moreover, due to the high temporal resolution of IE, it proves to be a suitable measure for assessing the complexity of thoracoabdominal movement patterns under non-stationary states such as the step test and recovery. The results also demonstrate that the instantaneous complexity of TWM and AWM can effectively capture instantaneous changes during non-stationary states, which may prove valuable in understanding the respiratory mechanism for healthcare purposes in daily life.
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http://dx.doi.org/10.3390/e26010027 | DOI Listing |
Eur J Appl Physiol
October 2024
APHP Sorbonne Université, INSERM, UMRS1158 Neurophysiologie Respiratoire Expérimentale Et Clinique, 47-83 Boulevard de L'Hôpital, 75013, Paris, France.
Introduction And Objectives: Dyspnea is associated with fear and intense suffering and is often assessed using visual analog scales (VAS) or numerical rating scales (NRS). However, the physiological correlates of such ratings are not well known. Using the voluntary breath-holding model of induced dyspnea, we studied healthy volunteers to investigate the temporal relationship between dyspnea, the neural drive to breathe assessed in terms of involuntary thoracoabdominal movements (ITMs) and neurovegetative responses.
View Article and Find Full Text PDFJ Neurosurg Case Lessons
September 2024
Department of Neurosurgery, Ronald Reagan UCLA Medical Center, University of California Los Angeles Health, Los Angeles, California.
Background: Spinal cord stimulation (SCS), including the percutaneous placement of epidural stimulation leads, has been increasingly utilized to treat chronic pain. Although lead migration is a well-characterized complication, few studies have reported on malpositioned leads in the intrathecal space. Here, the authors discuss two cases of intrathecal lead placement necessitating surgical revision.
View Article and Find Full Text PDFJ Allergy Clin Immunol Pract
December 2024
Pulmonary Division, Heart Institute (InCor), Clinics Hospital, School of Medicine, University of Sao Paulo, Sao Paulo, Brazil; Department of Physical Therapy, School of Medicine, University of Sao Paulo, Sao Paulo, Brazil. Electronic address:
Background: Breathing and aerobic exercises are the most recommended nonpharmacological treatments to improve asthma control and quality of life in patients with asthma. However, the benefits of combining both interventions in these outcomes have never been tested.
Objective: We aimed to evaluate the effects of the combination of aerobic and breathing exercises on asthma control in individuals with moderate-to-severe asthma.
BMC Neurol
August 2024
Department of Intensive Care Unit, Nanjing Tongren Hospital, Nanjing, jiangsu, China.
Background: Diaphragmatic myoclonus is a rare motor disorder that affects muscle tone. It is characterized by involuntary movements of the abdominal wall and rhythmic, repetitive contractions of the accessory or respiratory muscles, all of which are innervated by the cervical nerve roots.
Case Description: We reviewed the case of a 57-year-old male patient who underwent surgery for a left cerebellar hemorrhage.
Eur J Nucl Med Mol Imaging
December 2024
Department of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, 127 West Changle Road, Xi'an, 710032, China.
Purpose: Respiratory motion (RM) significantly impacts image quality in thoracoabdominal PET/CT imaging. This study introduces a unified data-driven respiratory motion correction (uRMC) method, utilizing deep learning neural networks, to solve all the major issues caused by RM, i.e.
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