In this article, we introduce a novel use of depth camera to extract cardiac pulse signal from human chest area, in which the depth information is obtained from a near infrared sensor using time-of-flight technology. We successfully isolate weak chest motion due to heartbeat by processing a sequence of depth images without raising privacy concern. We discuss motion sensitivity in depth video with examples from actuator simulation and human chest motion. Compared to other imaging modalities, the depth image intensity can be directly used for micromotion reconstruction. To deal with the challenges of recovering heartbeat from the chest area, we develop a set of coherent processing techniques to suppress the unwanted motion interference from breathing motion and involuntary body motion and eventually obtain clean cardiac pulse signal. We, thus, derive inter-beat-interval, showing high consistency to the contact photoplethysmography. Additionally, we develop a graphical interpretation of the most and the less pulsatile principal components in eigen space. For validation, we test our method on ten healthy human subjects with different resting heart rates. More importantly, we conduct a set of experiments to study the robustness and weakness of our methods, including extended range, multi-subject, thickness of clothes and generation to other measurement site.
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http://dx.doi.org/10.1109/TBME.2023.3318012 | DOI Listing |
Ultrasound J
January 2025
Pediatric Emergency Medicine, Yale University School of Medicine, 100 York Street, Suite 1F, New Haven, CT, 06511, USA.
E-point septal separation (EPSS) and tricuspid annular plane systolic excursion (TAPSE) are M-mode measures of left and right ventricular systolic function, with limited pediatric point-of-care ultrasound (POCUS) research. We conducted a cross-sectional study in a pediatric emergency department, enrolling 12-17-year-olds without cardiopulmonary complaints. Exclusion criteria included abnormal vital signs, fever, altered mental status, or psychiatric illness.
View Article and Find Full Text PDFSports Med Open
January 2025
Department of Physical Education, Tongji University, Shanghai, 200000, China.
Background: While the effects of sleep deprivation on cognitive function are well-documented, its impact on high-intensity endurance performance and underlying neural mechanisms remains underexplored, especially in the context of search and rescue operations where both physical and mental performance are essential. This study examines the neurophysiological basis of sleep deprivation on high-intensity endurance using electroencephalography (EEG). In this crossover study, twenty firefighters were subjected to both sleep deprivation (SD) and normal sleep conditions, with each participant performing endurance treadmill exercise the following morning after each condition.
View Article and Find Full Text PDFJ Perianesth Nurs
January 2025
Department of Anesthesiology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China. Electronic address:
Purpose: The aim of this study is to observe the effect of music combined with preoperative education on perioperative anxiety in patients undergoing open cardiac surgery.
Design: This was a randomized controlled study.
Methods: A group of 322 patients undergoing elective open cardiac surgery were randomly allocated to receive either music combined with preoperative education (the experimental group) or routine preoperative preparation (the control group).
J Vasc Surg
January 2025
Nephrology Division, University of Washington, Seattle, WA; Providence Medical Research Center, Providence Inland Northwest Health, Spokane, WA.
Background: Chronic limb-threatening ischemia (CLTI) in patients with chronic kidney disease (CKD) has a high risk of poor outcomes. We aimed to compare the outcomes of lower extremity revascularization in patients with CLTI stratified by CKD severity in patients enrolled in the prospective, randomized Best Endovascular vs Best Surgical Therapy in Patients with CLTI (BEST-CLI) trial.
Methods: The BEST-CLI trial dataset was queried to categorize patients into three groups according to CKD stage.
JACC Clin Electrophysiol
January 2025
Division of Cardiac Electrophysiology, Virginia Commonwealth University, Richmond, Virginia, USA; Division of Cardiac Electrophysiology, Central Virginia Veterans Affairs Health System, Richmond, Virginia, USA. Electronic address:
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