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Enhancing assistive technology design: Biomechanical finite element modeling for grasping strategy optimization in exoskeleton data gloves
IF 1.7 4区 医学
Medical Engineering & Physics Pub Date : 2025-02-06 DOI: 10.1016/j.medengphy.2025.104308
Yan Zhang, Hong Xie, Md All Amin Newton
{"title":"Enhancing assistive technology design: Biomechanical finite element modeling for grasping strategy optimization in exoskeleton data gloves","authors":"Yan Zhang,&nbsp;Hong Xie,&nbsp;Md All Amin Newton","doi":"10.1016/j.medengphy.2025.104308","DOIUrl":"10.1016/j.medengphy.2025.104308","url":null,"abstract":"<div><div>This paper endeavors to enhance the control mechanisms governing the grasping strategy of exoskeleton data gloves. A comprehensive approach was devised, integrating finite element numerical simulation techniques with the computerized control system of exoskeleton data gloves, establishing a novel, precise, and three-dimensional biomechanical finite element model of the hand. By amalgamating finite element modeling technology, biomechanical understanding, and hand kinematics, a straightforward yet efficient virtual grasping methodology was introduced to replicate three typical grasping actions dynamically. This method accurately computes contact pressure values, offering valuable insights for formulating strategies for exoskeleton data gloves. Experimental validations were conducted to ascertain the model's simulation accuracy, comparing contact pressure across all fingertips during grasping tasks demonstrating the model's high fidelity. Compared to traditional methods reliant on pressure sensors and physical measurement experiments, this approach presents several advantages, including convenience, speed, low cost, and enhanced accuracy. The proposed finite element numerical simulation model presents an optimized and viable concept for developing grasping strategies in exoskeleton data gloves, facilitating precise gripping capabilities for individuals and aiding in enhancing their capacity for independent living. Furthermore, the current model focuses on replicating typical grasping actions and may require further development to encompass a wider variety of complex object shapes and grasping maneuvers. However, this finding is crucial to the ongoing evolution of exoskeleton data glove products and systems.</div></div>","PeriodicalId":49836,"journal":{"name":"Medical Engineering & Physics","volume":"137 ","pages":"Article 104308"},"PeriodicalIF":1.7,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143394472","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Enhanced intravascular lithotripsy (IVL) with ultrasound-shockwave catheter
IF 1.7 4区 医学
Medical Engineering & Physics Pub Date : 2025-02-06 DOI: 10.1016/j.medengphy.2025.104306
Chengxi Li , Rui Zhang , Peiyang Li , Weiwei Shao , Yaoyao Cui
{"title":"Enhanced intravascular lithotripsy (IVL) with ultrasound-shockwave catheter","authors":"Chengxi Li ,&nbsp;Rui Zhang ,&nbsp;Peiyang Li ,&nbsp;Weiwei Shao ,&nbsp;Yaoyao Cui","doi":"10.1016/j.medengphy.2025.104306","DOIUrl":"10.1016/j.medengphy.2025.104306","url":null,"abstract":"<div><div>Intravascular shockwave lithotripsy (IVL) is an effective treatment for vascular calcification. Previous studies suggest that ultrasound can enhance the efficiency of extracorporeal shockwave lithotripsy (ESWL) by mitigating the bubble shielding effect. We developed a novel ultrasound-shockwave catheter that combines flowing liquid and ultrasound to suppress bubble shielding and enhance lithotripsy efficiency. Experimental results confirm the bubble shielding effect in IVL, which can be mitigated by flowing liquid or ultrasound. Fracture experiments using Ultracal-30 as phantoms demonstrate the ultrasound emitted after 10 ms of shockwave generation and combines with bubbles can enhance lithotripsy efficiency. Specifically, the addition of ultrasound and bubbles reduced the mass percentage of fragments larger than 4.5 mm by 38.56 % compared to the control. Spectrum analysis of ultrasound reveals cavitation's role in improving lithotripsy efficiency. In summary, while bubbles initially attenuate shockwave intensity and reduce lithotripsy efficiency, their combination with ultrasound-induced cavitation enhances treatment outcomes.</div></div>","PeriodicalId":49836,"journal":{"name":"Medical Engineering & Physics","volume":"137 ","pages":"Article 104306"},"PeriodicalIF":1.7,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143437415","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A comparative analysis of Constant-Q Transform, gammatonegram, and Mel-spectrogram techniques for AI-aided cardiac diagnostics
IF 1.7 4区 医学
Medical Engineering & Physics Pub Date : 2025-02-06 DOI: 10.1016/j.medengphy.2025.104302
Mohammed Saddek Mekahlia , Mohamed Fezari , Ahcen Aliouat
{"title":"A comparative analysis of Constant-Q Transform, gammatonegram, and Mel-spectrogram techniques for AI-aided cardiac diagnostics","authors":"Mohammed Saddek Mekahlia ,&nbsp;Mohamed Fezari ,&nbsp;Ahcen Aliouat","doi":"10.1016/j.medengphy.2025.104302","DOIUrl":"10.1016/j.medengphy.2025.104302","url":null,"abstract":"<div><div>Cardiovascular diseases (CVDs) are the leading global cause of death, which requires the early and accurate detection of cardiac abnormalities. Abnormal heart sounds, indicative of potential cardiac problems, pose a challenge due to their low-frequency nature. Utilizing digital signal processing and Phonocardiogram (PCG) analysis, this study employs advanced deep learning techniques for automated heart sound classification. Time-frequency representations capture multiple heart sound features, including gammatonegram, Mel-spectrogram, and Constant-Q Transform (CQT). A Convolutional Neural Network with Directed Acyclic Graph (DAG-CNN) architecture is designed and rigorously evaluated, achieving high classification accuracies of 100%, 99.7%, and 99.5% for gammatonegram, Mel-spectrogram, and CQT, respectively. Comparative analysis with pre-trained CNN models demonstrates the superior performance of the proposed model. This advancement in automated heart sound classification offers a promising and cost-effective tool for early diagnosis, particularly in resource-limited settings, helping to address the diagnostic gap and enhance cardiac care accessibility.</div></div>","PeriodicalId":49836,"journal":{"name":"Medical Engineering & Physics","volume":"137 ","pages":"Article 104302"},"PeriodicalIF":1.7,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143376674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Simulation study on parameter dependence of dynamic osteocyte response under low-magnitude high-frequency vibration
IF 1.7 4区 医学
Medical Engineering & Physics Pub Date : 2025-02-06 DOI: 10.1016/j.medengphy.2025.104307
Haiying Liu , Mingzhi Li , Shenggang Li , Chunqiu Zhang , Jingjing Feng
{"title":"Simulation study on parameter dependence of dynamic osteocyte response under low-magnitude high-frequency vibration","authors":"Haiying Liu ,&nbsp;Mingzhi Li ,&nbsp;Shenggang Li ,&nbsp;Chunqiu Zhang ,&nbsp;Jingjing Feng","doi":"10.1016/j.medengphy.2025.104307","DOIUrl":"10.1016/j.medengphy.2025.104307","url":null,"abstract":"<div><div>The dynamic response mechanism of osteocytes to whole-body low-amplitude high-frequency vibration (LMHFV) is investigated using numerical simulation. In this study, a finite element model of a single bone lacuna-osteocyte incorporating the cytoskeleton was established. The vibration parameter dependence characteristics (acceleration amplitude (<em>a</em>), frequency (<em>f</em>)) of the dynamic osteocyte response under LMHFV were simulated. The results demonstrate that the alternating positive and negative liquid pressure acted on the osteocyte under LMHFV protocols (0.01 g–0.05 g, 30 Hz) (g=gravitational acceleration, 1 g = 9.8 m/s<sup>2</sup>) and the fluid shear stress increase with the acceleration amplitude. Additionally, the absolute values of positive and negative liquid pressure are relatively higher in the parameters range (0.026 g–0.038 g, 30 Hz). The von Mises stress extreme value of the microtubules presents a non-linear variation with increasing vibration parameters. Moreover, cytoskeletons can generate higher stress under vibration protocols (0.02 g–0.03 g, 30–45 Hz), thus facilitating the transmission of mechanical signals while satisfying the mechanical strength conditions compared to other reasonable vibration parameter range (0.01 g–0.05 g, 30–45 Hz). In summary, LMHFV with appropriate parameters can improve the mechanical microenvironment of osteocytes and enhance cell bioactivity to some extent.</div></div>","PeriodicalId":49836,"journal":{"name":"Medical Engineering & Physics","volume":"137 ","pages":"Article 104307"},"PeriodicalIF":1.7,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143437414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Validity and between-days reliability of two different metabolic systems for measuring gas exchange during walking
IF 1.7 4区 医学
Medical Engineering & Physics Pub Date : 2025-02-01 DOI: 10.1016/j.medengphy.2024.104281
Juan M.A. Alcantara , Fernando Alonso-Gonzalo , Antonio Clavero-Jimeno , Andres Marmol-Perez , Jose Antonio Suarez-Roman , Jonatan R. Ruiz
{"title":"Validity and between-days reliability of two different metabolic systems for measuring gas exchange during walking","authors":"Juan M.A. Alcantara ,&nbsp;Fernando Alonso-Gonzalo ,&nbsp;Antonio Clavero-Jimeno ,&nbsp;Andres Marmol-Perez ,&nbsp;Jose Antonio Suarez-Roman ,&nbsp;Jonatan R. Ruiz","doi":"10.1016/j.medengphy.2024.104281","DOIUrl":"10.1016/j.medengphy.2024.104281","url":null,"abstract":"<div><h3>Background</h3><div>Portable metabolic systems for assessing gas exchange outside the laboratory and clinical settings are increasing their popularity. We aimed to determine the validity and the reliability of the K5 portable system (Cosmed, Rome, Italy) and the Omnical (Maastricht Instruments, Maastricht, The Netherlands) metabolic cart.</div></div><div><h3>Methods</h3><div>Gas exchange was measured, using the K5 and the Omnical in a randomised and counterbalanced order, in 35 participants (19 women; age: 26 ± 3 yrs.) using a walking protocol on 2 non-consecutive (48 h apart) days. The protocol consisted of a 5 min walk and 2.5 min rest cycle starting at 3.5 km/h and increasing in 1 km/h to 6.5 km/h. The protocol was repeated twice after a 10–15 min resting. To determine validity and reliability, we conducted two-factor repeated measures analysis of variance (ANOVA), intraclass correlation coefficients (ICC), coefficients of variation (CV) and Bland-Altman analyses.</div></div><div><h3>Results</h3><div>Repeated measures ANOVA showed that mean oxygen consumption, carbon dioxide production and energy expenditure were higher for the K5 compared to the Omnical on both visits (all <em>P</em> &lt; 0.001). Respiratory exchange ratio (RER) was similar among systems at faster (≥4.5 km/h) walking speeds. ICC, CV and Bland-Altman showed a better reliability of the Omnical (ICCs ranged from 0.71 to 0.86, and CVs from 3.1 % to 7.1 %) compared to the K5 (ICCs ranged from 0.40 to 0.98, and CVs from 2.6 % to 6.3 %).</div></div><div><h3>Conclusions</h3><div>The K5 portable system provides similar RER values to the Omnical metabolic cart, although the Omnical reliability was better for most outcomes.</div></div>","PeriodicalId":49836,"journal":{"name":"Medical Engineering & Physics","volume":"136 ","pages":"Article 104281"},"PeriodicalIF":1.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143166646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Semi-supervised medical image segmentation with dual-branch mixup-decoupling confidence training
IF 1.7 4区 医学
Medical Engineering & Physics Pub Date : 2025-02-01 DOI: 10.1016/j.medengphy.2025.104285
Jianwu Long, Yuanqin Liu, Yan Ren
{"title":"Semi-supervised medical image segmentation with dual-branch mixup-decoupling confidence training","authors":"Jianwu Long,&nbsp;Yuanqin Liu,&nbsp;Yan Ren","doi":"10.1016/j.medengphy.2025.104285","DOIUrl":"10.1016/j.medengphy.2025.104285","url":null,"abstract":"<div><div>Semi-supervised medical image segmentation algorithms hold significant research and practical value due to their ability to reduce labeling dependency and annotation costs. However, most current algorithms lack diverse regularization methods to effectively exploit robust knowledge from unlabeled data. The pseudo-label filtering methods employed are often overly simplistic, which exacerbates the serious category imbalance problem in medical images. Additionally, these algorithms fail to provide robust semantic representations for comparative learning in multi-scenario settings, making it challenging for the model to learn more discriminative semantic information. To address these issues, we propose a semi-supervised medical image segmentation algorithm that utilizes dual-branch mixup-decoupling confidence training to establish a dual-stream semantic link between labeled and unlabeled images, thereby alleviating semantic ambiguity. Furthermore, we design a bidirectional confidence contrast learning method to maximize the consistency between similar pixels and the distinction between dissimilar pixels in both directions across different feature embeddings in dual views. This enables the model to learn the key features of intra-class similarity and inter-class separability. We conduct a series of experiments on both 2D and 3D datasets, and the experimental results demonstrate that the proposed algorithm achieves notable segmentation performance, outperforming other recent state-of-the-art algorithms.</div></div>","PeriodicalId":49836,"journal":{"name":"Medical Engineering & Physics","volume":"136 ","pages":"Article 104285"},"PeriodicalIF":1.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143166645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Investigating the course and predictors of desire to void based on heart rate variability
IF 1.7 4区 医学
Medical Engineering & Physics Pub Date : 2025-02-01 DOI: 10.1016/j.medengphy.2025.104286
Shulian Tan, Yi Tang, Ping Shi
{"title":"Investigating the course and predictors of desire to void based on heart rate variability","authors":"Shulian Tan,&nbsp;Yi Tang,&nbsp;Ping Shi","doi":"10.1016/j.medengphy.2025.104286","DOIUrl":"10.1016/j.medengphy.2025.104286","url":null,"abstract":"<div><div>Urinary incontinence is closely related to the motor ability and toileting tasks. Some nursing home residents with limited mobility who cannot reach the bathroom in time highly depend on caregivers for toileting assistance. However, nursing home staffing is often insufficient to meet the needs of all residents. Monitoring the desire to urinate is vital to minimize functional dependence and improve the quality of life of older people. Improved reliability of the desire to void monitoring requires exploring more effective monitoring methods. In this paper, we observed the changes in heart rate variability (HRV) during bladder filling, established the mapping relationship between normal bladder filling degree and HRV, and evaluated the performance of different classification models in predicting the degree of desire to void using HRV characteristics at different bladder filling degrees. The results showed that the autonomic nervous system gradually shifted to sympathetic nerve activity with increased bladder filling. Meanwhile, the classification accuracy of the wide neural network model for the degree of desire to void was &gt;98 %. HRV shows a significant application prospect in predicting the desire to void, which provides a new direction for the research and development of non-invasive voiding intention monitoring and intelligent rehabilitation equipment and is expected to promote technical progress and development in related fields.</div></div>","PeriodicalId":49836,"journal":{"name":"Medical Engineering & Physics","volume":"136 ","pages":"Article 104286"},"PeriodicalIF":1.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143196580","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Fluid-structure interaction simulations for the prediction of fractional flow reserve in pediatric patients with anomalous aortic origin of a coronary artery
IF 1.7 4区 医学
Medical Engineering & Physics Pub Date : 2025-02-01 DOI: 10.1016/j.medengphy.2025.104293
Charles Puelz , Craig G. Rusin , Dan Lior , Shagun Sachdeva , Tam T. Doan , Lindsay F. Eilers , Dana Reaves-O'Neal , Monisha Akula , Silvana Molossi
{"title":"Fluid-structure interaction simulations for the prediction of fractional flow reserve in pediatric patients with anomalous aortic origin of a coronary artery","authors":"Charles Puelz ,&nbsp;Craig G. Rusin ,&nbsp;Dan Lior ,&nbsp;Shagun Sachdeva ,&nbsp;Tam T. Doan ,&nbsp;Lindsay F. Eilers ,&nbsp;Dana Reaves-O'Neal ,&nbsp;Monisha Akula ,&nbsp;Silvana Molossi","doi":"10.1016/j.medengphy.2025.104293","DOIUrl":"10.1016/j.medengphy.2025.104293","url":null,"abstract":"<div><div>Computer simulations of blood flow in patients with anomalous aortic origin of a coronary artery (AAOCA) have the promise to provide insight into this complex disease. They provide an <em>in silico</em> experimental platform to explore possible mechanisms of myocardial ischemia, a potentially deadly complication for patients with this defect. This paper focuses on the question of model calibration for fluid-structure interaction models of pediatric AAOCA patients. Imaging and cardiac catheterization data provide partial information for model construction and calibration. However, parameters for downstream boundary conditions needed for these models are difficult to estimate. Further, important model predictions, like fractional flow reserve (FFR), are sensitive to these parameters. We describe an approach to calibrate downstream boundary condition parameters to clinical measurements of resting FFR. The calibrated models are then used to predict FFR at stress, an invasively measured quantity that can be used in the clinical evaluation of these patients. We find reasonable agreement between the model predicted and clinically measured FFR at stress, indicating the credibility of this modeling framework for predicting hemodynamics of pediatric AAOCA patients. This approach could lead to important clinical applications since it may serve as a tool for risk stratifying children with AAOCA.</div></div>","PeriodicalId":49836,"journal":{"name":"Medical Engineering & Physics","volume":"136 ","pages":"Article 104293"},"PeriodicalIF":1.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143196581","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Low-cost graphite and double-gate FET-based label-free biosensor for dopamine sensing to detect neural diseases
IF 1.7 4区 医学
Medical Engineering & Physics Pub Date : 2025-02-01 DOI: 10.1016/j.medengphy.2025.104282
Deepti , Anirban Kolay , Subrata Majumder , Amitesh Kumar
{"title":"Low-cost graphite and double-gate FET-based label-free biosensor for dopamine sensing to detect neural diseases","authors":"Deepti ,&nbsp;Anirban Kolay ,&nbsp;Subrata Majumder ,&nbsp;Amitesh Kumar","doi":"10.1016/j.medengphy.2025.104282","DOIUrl":"10.1016/j.medengphy.2025.104282","url":null,"abstract":"<div><div>The manuscript proposes biosensors for detecting different concentrations of neurotransmitters named dopamine, which have a critical role in the human body's neurological, hormonal, and renal systems. In this work, the primary focus is to detect dopamine, whose disorder levels cause many neurological disabilities such as Alzheimer's and Parkinson's disease. In the present work, the simulation of two different structures has been studies: a) a graphite-based structure and b) a double gate TFET structure for detecting dopamine using TCAD Silvaco software. The proposed device utilizes a graphite-based structure with respective work functions of the used materials and studies the change in ON current (I<em><sub>ON</sub></em> sensing factor is calculated for simulation study for V<sub>GS</sub> = 0.8 V). The cavity is increased to 800 µm for graphite-based biosensors for improved sensitivity. The graphite-based biosensors can detect up to 13.3 nM concentration of dopamine. Experimental electrochemical analysis results verify the proposed graphite-based biosensors' sensitivity for different dopamine concentrations. Another double gate field effect transistor (FET) biosensor has also been investigated for the detection of dopamine. The effective dielectric constant has been calculated using Bruggeman's model to check the sensitivity of double gate FET-based sensors for varying dopamine and uric acid concentrations. The sensitivity is increased with the increase of dopamine concentration percentage.</div></div>","PeriodicalId":49836,"journal":{"name":"Medical Engineering & Physics","volume":"136 ","pages":"Article 104282"},"PeriodicalIF":1.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143166299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Benchmarking 2D human pose estimators and trackers for workflow analysis in the cardiac catheterization laboratory
IF 1.7 4区 医学
Medical Engineering & Physics Pub Date : 2025-02-01 DOI: 10.1016/j.medengphy.2025.104289
Rick M. Butler , Emanuele Frassini , Teddy S. Vijfvinkel , Sjors van Riel , Chavdar Bachvarov , Jan Constandse , Maarten van der Elst , John J. van den Dobbelsteen , Benno H.W. Hendriks
{"title":"Benchmarking 2D human pose estimators and trackers for workflow analysis in the cardiac catheterization laboratory","authors":"Rick M. Butler ,&nbsp;Emanuele Frassini ,&nbsp;Teddy S. Vijfvinkel ,&nbsp;Sjors van Riel ,&nbsp;Chavdar Bachvarov ,&nbsp;Jan Constandse ,&nbsp;Maarten van der Elst ,&nbsp;John J. van den Dobbelsteen ,&nbsp;Benno H.W. Hendriks","doi":"10.1016/j.medengphy.2025.104289","DOIUrl":"10.1016/j.medengphy.2025.104289","url":null,"abstract":"<div><div>Workflow insights can improve efficiency and safety in the Cardiac Catheterization Laboratory (Cath Lab). As manual analysis is labor-intensive, we aim for automation through camera monitoring. Literature shows that human poses are indicative of activities and therefore workflow. As a first exploration, we evaluate how marker-less multi-human pose estimators perform in the Cath Lab. We annotated poses in 2040 frames from ten multi-view coronary angiogram (CAG) recordings. Pose estimators AlphaPose, OpenPifPaf and OpenPose were run on the footage. Detection and tracking were evaluated separately for the Head, Arms, and Legs with Average Precision (AP), head-guided Percentage of Correct Keypoints (PCKh), Association Accuracy (AA), and Higher-Order Tracking Accuracy (HOTA). We give qualitative examples of results for situations common in the Cath Lab, with reflections in the monitor or occlusion of personnel. AlphaPose performed best on most mean Full-pose metrics with an AP from 0.56 to 0.82, AA from 0.55 to 0.71, and HOTA from 0.58 to 0.73. On PCKh OpenPifPaf scored highest, from 0.53 to 0.64. Arms, Legs, and the Head were detected best in that order, from the views which see the least occlusion. During tracking in the Cath Lab, AlphaPose tended to swap identities and OpenPifPaf merged different individuals. Results suggest that AlphaPose yields the most accurate confidence scores and limbs, and OpenPifPaf more accurate keypoint locations in the Cath Lab. Occlusions and reflection complicate pose tracking. The AP of up to 0.82 suggests that AlphaPose is a suitable pose detector for workflow analysis in the Cath Lab, whereas its HOTA of up to 0.73 here calls for another tracking solution.</div></div>","PeriodicalId":49836,"journal":{"name":"Medical Engineering & Physics","volume":"136 ","pages":"Article 104289"},"PeriodicalIF":1.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143166300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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