Purpose: The purpose of this study is to develop a prototype of a novel respiratory device that we validated and assessed clinically and examined the effect of prototype of respiratory device on blood pressure (BP).
Methods: Prototype of respiratory device (TU-Breath Training) was designed with pressure cuff and application software was created. The immediate effect of resisted breathing was determined in 20 adults with high BP (systolic BP ≥ 130 mmHg and diastolic BP ≥ 90 mmHg). A crossover study was designed. A total of 20 eligible participants were asked to sit quietly for 10 min. Heart rate (HR), BP, and oxygen saturation (SpO) were measured and recorded. After the resting period, all participants were randomized and counterbalanced for undergoing the set of inspiratory muscle training by TU-Breath Training and control group. A set of respiratory training were composed of 10 times per set for three sets, while the control group was asked to sit for 10 min.
Results: After inspiratory training, both the systolic and diastolic BP decreased significantly. Compared with control group, using TU-Breath Training decreased systolic BP (-7.00 ± 5.93 mmHg) and diastolic BP (-5.95 ± 8.88 mmHg), but did not show differences in HR and SpO.
Conclusion: The study indicated that in high-BP participants, the prototype of respiratory device (TU-Breath Training) elicits decreased BP.
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http://dx.doi.org/10.1556/1646.10.2018.34 | DOI Listing |
J Med Internet Res
January 2025
Department of Cardiology, Yonsei University College of Medicine, Seoul, Republic of Korea.
Background: Efficient emergency patient transport systems, which are crucial for delivering timely medical care to individuals in critical situations, face certain challenges. To address this, CONNECT-AI (CONnected Network for EMS Comprehensive Technical-Support using Artificial Intelligence), a novel digital platform, was introduced. This artificial intelligence (AI)-based network provides comprehensive technical support for the real-time sharing of medical information at the prehospital stage.
View Article and Find Full Text PDFMed Sci (Basel)
December 2024
Department of Medicine, Universidad Nacional Autonoma de México (UNAM), Mexico City 04510, Mexico.
Sleep apnea-hypopnea syndrome (SAHS) is a respiratory disorder characterized by cessation of breathing during sleep, resulting in daytime somnolence and various comorbidities. SAHS encompasses obstructive sleep apnea (OSA), caused by upper airway obstruction, and central sleep apnea (CSA), resulting from lack of brainstem signaling for respiration. Continuous positive airway pressure (CPAP) therapy is the gold standard treatment for SAHS, reducing apnea and hypopnea episodes by providing continuous airflow.
View Article and Find Full Text PDFPulm Med
January 2025
Post Graduation Department, Escola Superior de Ciências da Saúde (ESCS), Brasilia, Distrito Federal, Brazil.
Lung volume recruitment (LVR) is a stacked-breath assisted inflation technique in which consecutive insufflations are delivered, without exhaling in between, until the maximum tolerable inflation capacity is reached. Although LVR is recommended in some neuromuscular disease guidelines, there is little information detailing when and how allied health professionals (AHPs) prescribe LVR. This study is aimed at describing the use of LVR in practice across Brazil.
View Article and Find Full Text PDFConf Proc Int Conf Image Form Xray Comput Tomogr
August 2024
Department of Radiology, Perelman School of Medicine, Philadelphia, PA, USA.
Respiratory motion phantoms can be used for evaluation of CT imaging technologies such as motion artifact reduction algorithms and deformable image registration. However, current respiratory motion phantoms do not exhibit detailed lung tissue structures and thus do not provide a realistic testing environment. This paper presents PixelPrint, a method for 3D-printing deformable lung phantoms featuring highly realistic internal structures, suitable for a broad range of CT evaluations, optimizations, and research.
View Article and Find Full Text PDFCurr Med Imaging
January 2025
Xiamen University of Technology, Software Engineering, 600 Ligong Road, Xiamen, China, 350108.
Purpose: This study aims to develop an accurate image registration framework for personalized respiratory motion modeling.
Methods: The proposed framework incorporates longitudinal data through a two-stage transfer learning approach. In the first stage, transfer learning is employed on longitudinal data collected from the same device.
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