Analysis and modeling of forced-damped vibrations and their applications in medicine
Journal Title: Progress in Medical Devices - Year 2024, Vol 2, Issue 1
Abstract
Forced-damped vibrations are pivotal in various medical applications, significantly contributing to the examination of tissue mechanical properties, development of medical devices, and understanding of biological systems’ complexities. These vibrations represent the dynamic behavior of systems subjected to external forces and damping, where an external force continues to act, and damping determines the rate of energy dissipation. Advanced exploration of damping properties has led to the creation of novel technologies and methods, enhancing our ability to probe and manipulate the complex mechanical dynamics of biological tissues.
Authors and Affiliations
Zine Ghemari
Keywords
Related Articles
- EP ID EP750314
- DOI 10.61189/871955jstyqr
- Views 2
- Downloads 0
Progress of near-infrared spectroscopy in cerebral blood oxygenation detection: A mini review
In contrast to conventional oximeters, near-infrared spectroscopy-based brain tissue oximetry monitoring devices are capable of non-invasive, continuous, and real-time quantitative monitoring of cerebral oximetry paramet...
On Launching a New Journal 'Progress in Medical Devices' for Innovation
Recent years have witnessed unprecedented advances in medical device industry. New technologies, such as 3D printing, organ-on-a-chip, and surgical robots, have emerged and iterated constantly. Innovation is the cornerst...
Research progress on biliary stents
Bile duct stenosis is a common condition in gastroenterology and hepatobiliary surgery and can be divided into benign stenosis and malignant stenosis according to different etiologies. The implantation of a gall stent in...
Application of vibration analysis for medical diagnosis
The ability to interpret vibration signals in the biomedical field offers a promising path toward continuous improvement of medical devices. By examining the revolutions per minute profile, analysts can identify any devi...
Construction and comparative analysis of an early screening prediction model for fatty liver in elderly patients based on machine learning
Objective: To construct a prediction model for fatty liver disease (FLD) among elderly residents in community using machine learning (ML) algorithms and evaluate its effectiveness. Methods: The physical examination data...