Skeleton-based fast, fully automated generation of vessel tree structure for clinical evaluation of blood vessel systems

Lidayová, Kristína; Frimmel, Hans; Wang, Chunliang; Bengtsson, Ewert

doi:10.1016/b978-0-08-101291-8.00014-6

Cited by 5 publications

(5 citation statements)

References 58 publications

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“…Subtracting Equation 15from Equation 14, we estimate the blood vessel length difference (scalar difference (Fig. 3) [54,55]) between the face and the hand (L) as…”

Section: Estimation Of Subject Specific Parametersmentioning

confidence: 99%

Video-based Estimation of Blood Pressure

Tucker,

Dasari,

Jeni

2023

Preprint

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In this work, we propose a non-contact video-based approach that estimates an individual’s blood pressure. The estimation of blood pressure is critical for monitoring hypertension and cardiovascular diseases such as coronary artery disease or stroke. Estimation of blood pressure is typically achieved using contact-based devices which apply pressure on the arm through a cuff. Such contact-based devices are cost-prohibitive as well as limited in their scalability due to the requirement of specialized equipment. The ubiquity of mobile phones and video-based capturing devices motivates the development of a non-contact blood pressure estimation method - Video-based Blood Pressure Estimation (V-BPE). We leverage the time difference of the blood pulse arrival at two different locations in the body (Pulse Transit Time) and the inverse relation between the blood pressure and the velocity of blood in the artery to analytically estimate the blood pressure. Through statistical hypothesis testing, we demonstrate that Pulse Transit Time-based approaches to estimate blood pressure require knowledge of subject specific blood vessel parameters, such as the length of the blood vessel. We utilize a combination of computer vision techniques and demographic information (such as the height and the weight of the subject) to capture and incorporate the aforementioned subject specific blood vessel parameters into our estimation of blood pressure. We demonstrate the robustness of V-BPEby evaluating the efficacy of blood pressure estimation in demographically diverse, outside-the-lab conditions. V-BPE is advantageous in two ways; 1) it is non-contact-based, reducing the possibility of infection due to contact and 2) it is scalable, given the ubiquity of video recording devices.

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“…Subtracting Equation 15from Equation 14, we estimate the blood vessel length difference (scalar difference (Fig. 3) [54,55]) between the face and the hand (L) as…”

Section: Estimation Of Subject Specific Parametersmentioning

confidence: 99%

Video-based Estimation of Blood Pressure

Tucker,

Dasari,

Jeni

2023

Preprint

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“…The basic idea is to simulate the human skeleton frame and transfer the load to the ground through the exoskeleton to reduce the load on the human body. From the perspective of biomechanics, this paper focuses on the structural and functional adaptation of skeletal muscle to explore the mechanism of skeletal muscle motor injury, aiming to inspire the jade and work on deep human research in this aspect of sports biomechanics [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

Skeletal Structure and Training Adaptability of Athletes Based on Biomechanical Analysis

Yin

Wang

Zhang

2022

Journal of Healthcare Engineering

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According to the kinematics analysis of the human body, a set of exoskeleton mechanical structures is designed to imitate the physiological structure and movement characteristics of the lower limbs of humans. To study the biomechanical characteristics of the exoskeleton in two different phases during walking and to provide a research basis for the design and optimization of the exoskeleton. Doctors and engineers are actively committed to the basic understanding and improvement of the tissue characteristics, structure, and function of the human musculoskeletal system. Firstly, according to the gait analysis of the lower limbs, the exoskeleton mechanical structure is designed by using three-dimensional modeling software. After the solid model is generated, the assembly, meshing, and element attribute assignment are carried out by using finite element software. And the face-to-face contact relationship between each building is established, and the stress distribution of the exoskeleton is simulated and analyzed. The stress distribution of the exoskeleton under different working conditions is significantly different. Since the calculation does not take into account uncertainties such as shocks that may occur during walking, it is necessary to consider and multiply a certain safety factor when designing the optimized exoskeleton.

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“…2B) could lead to FWHM bias. Identifying this could then inform whether outlier exclusion is required or whether, for example, multidirectional FHWM measurement and averaging are needed; alternative approaches for vessel diameter measurements could be applied to address outliers (see reviews: Corliss, Mathews, Doty, Rohde, & Peirce, 2019; Lidayová, Frimmel, Wang, Bengtsson, & Smedby, 2017).…”

Section: Introductionmentioning

confidence: 99%