The objective of the present study was to develop a scientifically sound rationale for the application of the pulsed low-frequency electrostatic fields (PLIESF) for the combined treatment of the children presenting with bronchial asthma and the comparative assessment of the effectiveness of the use of this method either as monotherapy or together with therapeutic physical exercises based on the immediate and long-term results of the treatment. The dynamic clinical observations and special investigations were carried out on 101 children at the age varying from 5 to 15 years who suffered from bronchial asthma. PLIESF were shown to produce the beneficial effect on dynamics of clinical symptoms in the children manifested as the disappearance or reduced frequency of episodes of laborious respiration and the improvement of sputum discharge, auscultation picture, bronchial patency, and respiratory excursions of the chest. The application of PLIESF significantly increased the level of the general physical performance in the children with bronchial asthma, improved the functional conditions of the cardiovascular system, normalized both the cardiac rhythm and the heart rate. It was shown based on the analysis of the short-term and long-term outcomes of the treatment that the combined therapy with the use of the two physical factors, i.e. the pulsed low-frequency electrostatic fields and therapeutic physical exercises, ensures the significantly higher effectiveness of the treatment than the separate application of either of them.
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http://dx.doi.org/10.17116/kurort2015430-35 | DOI Listing |
Biosensors (Basel)
January 2025
Biomedical Engineering Program, Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, VA 23508, USA.
Cell lysis is the starting step of many biomedical assays. Electric field-based cell lysis is widely used in many applications, including point-of-care (POC) applications, because it provides an easy one-step solution. Many electric field-based lysis methods utilize micro-electrodes to apply short electric pulses across cells.
View Article and Find Full Text PDFHeliyon
January 2025
College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, 310027, China.
Objective And Rationale: Children's clinical pain phenotypes are complex, and there is a lack of objective biological diagnostic markers and cognitive patterns. Detecting physiological signals through wearable devices simplifies disease diagnosis and holds the potential for remote medical applications.
Method And Results: This research established a pain recognition model based on AI skin potential (SP) signal analysis.
Clin Auton Res
January 2025
Department of Cardiac Sciences, Libin Cardiovascular Institute, University of Calgary, GAC70 HRIC Building, 3280 Hospital Dr NW, Calgary, AB, T2N 4Z6, Canada.
Purpose: Long-coronavirus disease (long-COVID) is associated with initial orthostatic hypotension and postural orthostatic tachycardia syndrome. Whether altered autonomic tone underlies these abnormalities is unknown. We compared autonomic function between patients with long-COVID and healthy controls, and within patients with long-COVID with different orthostatic hemodynamic phenotypes.
View Article and Find Full Text PDFClin Otolaryngol
January 2025
Department of Otorhinolaryngology-Head and Neck Surgery, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan.
Introduction: Obstructive sleep apnoea (OSA) in children is associated with numerous adverse outcomes, including elevated blood pressure. While the associations between OSA, obesity, and autonomic dysfunction are recognised, the precise mechanisms linking these factors and their relationship with elevated blood pressure in children remain unclear.
Methods: This retrospective case series included 76 children with OSA.
JMIR Med Inform
January 2025
School of Software, Taiyuan University of Technology, Jingzhong, China.
Background: The prompt and accurate identification of mild cognitive impairment (MCI) is crucial for preventing its progression into more severe neurodegenerative diseases. However, current diagnostic solutions, such as biomarkers and cognitive screening tests, prove costly, time-consuming, and invasive, hindering patient compliance and the accessibility of these tests. Therefore, exploring a more cost-effective, efficient, and noninvasive method to aid clinicians in detecting MCI is necessary.
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