Irbm最新文献 - Book学术

Facial Palsy Characterization Using Dual Regression Trees

IF 5.6 4区医学 Q1 ENGINEERING, BIOMEDICAL

Irbm

Pub Date : 2025-02-20 DOI: 10.1016/j.irbm.2025.100882

Soualmi Ameur , Mohd Saquib Khan , Régis Fournier , Marina Guihard , Laurent Chatelain , Marjolaine Baude , Amine Nait-ali

1) Objectives: The current facial recognition tools are inefficient in predicting landmarks for facial palsy patients. Noticeable asymmetry in the face results in inaccurate results as the prediction models are trained on symmetrical faces. In this study, a method is proposed which takes advantage of the existing powerful machine learning tools which are trained on datasets of healthy subjects with symmetric facial movements to create a system that can analyze and localize facial landmarks on both healthy as well as facial palsy subjects.

2) Methods: The task is accomplished by a simple image processing algorithm where two symmetric faces are generated from a non-symmetric face image representing the left and right sides of the original image. This method was tested against two other methods. One, which uses the cascade of regression trees (CRT) algorithm and the other which is a retrained version of the CRT algorithm on a dataset of facial palsy cases called Massachusetts Eye and Ear database and model (MEE).

3) Results: The methods were compared on 3 different types of test datasets containing a total 125 images. The proposed method outperforms other two methods in cases of asymmetrical faces from healthy people and palsy patients with approximately 7% lesser error compared to the CRT method and 39% lesser error than the MEE method.

4) Conclusion: The proposed method had a considerably better performance compared to the other two methods, which opens new perspectives to address the problem of face landmarks localization problem on facial palsy cases.

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引用次数: 0

Complementary Split-Ring Resonator for Non-Invasive Diagnosis of Carotid Artery Atherosclerosis: Towards Future in-Vivo Measurements

IF 5.6 4区医学 Q1 ENGINEERING, BIOMEDICAL

Irbm

Pub Date : 2025-02-14 DOI: 10.1016/j.irbm.2025.100883

Joséphine Dupeyron Masini , Frédérique Deshours , Georges Alquie , Rania Shahbaz , Sylvain Feruglio , Olivier Meyer , Dimitri Galayko , Hamid Kokabi , Jean-Michel Davaine

Objectives

The limited penetration depth of electromagnetic (EM) waves into biological tissues is a significant challenge for the use of microwave sensors in medical diagnostics. This study proposes a sensor based on a complementary split-ring resonator (CSRR) for the non-invasive detection of carotid atherosclerotic plaques, designed to be placed on the patient's neck.

Material and methods

The sensor employs a widened feed line and an optimized sensing area to concentrate the electric field and store a significant amount of energy within the biological tissue. Validation includes EM simulations and ex-vivo measurements on fresh animal tissues using monolayer and multilayer configurations to simulate human neck anatomy. A three-dimensional carotid artery model is also introduced to extend the analysis to deeper tissue layers and simulate different degrees of stenosis between 25% and 75%.

Results

The sensor demonstrates a sensitivity of 0.72% and a detection resolution of 14 MHz for a dielectric constant range from 1 to 52 in material measurements, which has contributed to enhancing the EM penetration depth in neck tissues. Simulation results for atherosclerotic plaques in the carotid artery revealed a frequency shift difference induced by stable and vulnerable plaques of around 1 to 2 MHz.

Conclusion

These findings highlight the sensor's potential for future use in the in- vivo diagnosis of carotid artery atherosclerosis.

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引用次数: 0

Comparison of Different Sensor Locations on Freezing-of-Gait Ratio Results

IF 5.6 4区医学 Q1 ENGINEERING, BIOMEDICAL

Irbm

Pub Date : 2025-02-14 DOI: 10.1016/j.irbm.2025.100881

Slavka Netukova , Lucie Horakova , Evžen Růžička , Petr Dusek , Zoltan Szabo , Radim Krupička

Background

Freezing of gait (FoG) is a walking disturbance in the Parkinson's disease (PD). The freezing ratio (FoG-ratio) is a parameter used to quantify overall freezing severity rather than to assess single freezing episodes. Originally the FoG-ratio was designed to be computed from lower limb acceleration. However, some available measurement systems get their data from a single sensor located elsewhere, e.g. on the lower back.

Purpose

The objective of our paper is to analyse whether acceleration signals measured on different body locations result in a consistent FoG-ratio.

Methods

Eighty-four people with PD and 65 people without neurological disorders completed an instrumented Timed Up&Go Test (iTUG) twice. The FoG-ratios from inertial units placed on the chest, lower back, left and right lower limbs were calculated.

Findings

There were significant differences between the tested FoG-ratios in the control group as well as in the PD group for both segments. Four significant, but not consistent, correlations were revealed for the turn segment in the PD group. Eight correlations were revealed in the control group. The inter-trial reliability of all the tested cases for gait was good (rho>0.75) but only in one case for turning.

Conclusion

In conclusion, the placement of sensors affected the FoG-ratio parameter output. The different FoG-ratios reflect different amounts of power in the locomotion band of body segments. This could result in inconclusive validity and incomparability of freezing severity presented in studies when the sensor is placed somewhere other than on the lower limbs.

{"title":"Comparison of Different Sensor Locations on Freezing-of-Gait Ratio Results","authors":"Slavka Netukova , Lucie Horakova , Evžen Růžička , Petr Dusek , Zoltan Szabo , Radim Krupička","doi":"10.1016/j.irbm.2025.100881","DOIUrl":"10.1016/j.irbm.2025.100881","url":null,"abstract":"<div><h3>Background</h3><div>Freezing of gait (FoG) is a walking disturbance in the Parkinson's disease (PD). The freezing ratio (FoG-ratio) is a parameter used to quantify overall freezing severity rather than to assess single freezing episodes. Originally the FoG-ratio was designed to be computed from lower limb acceleration. However, some available measurement systems get their data from a single sensor located elsewhere, e.g. on the lower back.</div></div><div><h3>Purpose</h3><div>The objective of our paper is to analyse whether acceleration signals measured on different body locations result in a consistent FoG-ratio.</div></div><div><h3>Methods</h3><div>Eighty-four people with PD and 65 people without neurological disorders completed an instrumented Timed Up&Go Test (iTUG) twice. The FoG-ratios from inertial units placed on the chest, lower back, left and right lower limbs were calculated.</div></div><div><h3>Findings</h3><div>There were significant differences between the tested FoG-ratios in the control group as well as in the PD group for both segments. Four significant, but not consistent, correlations were revealed for the turn segment in the PD group. Eight correlations were revealed in the control group. The inter-trial reliability of all the tested cases for gait was good (rho>0.75) but only in one case for turning.</div></div><div><h3>Conclusion</h3><div>In conclusion, the placement of sensors affected the FoG-ratio parameter output. The different FoG-ratios reflect different amounts of power in the locomotion band of body segments. This could result in inconclusive validity and incomparability of freezing severity presented in studies when the sensor is placed somewhere other than on the lower limbs.</div></div>","PeriodicalId":14605,"journal":{"name":"Irbm","volume":"46 2","pages":"Article 100881"},"PeriodicalIF":5.6,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143430227","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

IMU Calibration Effect on Lower Limbs Kinematics Against Optical Motion Capture in Post-Stroke Gait

IF 5.6 4区医学 Q1 ENGINEERING, BIOMEDICAL

Irbm

Pub Date : 2025-02-01 DOI: 10.1016/j.irbm.2024.100873

Ariane P. Lallès , Geoffroy Moucheboeuf , Emilie Doat , Hélène Pillet , Xavier Bonnet

Background

Stroke is the most common cause of disabilities worldwide. Rehabilitation is central to restore functions. Inertial measurement units (IMU) can be used to ease goal settings and monitor progression. Contrary to optical motion capture (OMC), IMU are less expensive, portable, and allow large scale data collections in ambulatory settings. Although Xsens MVN system validity has been demonstrated in healthy participants, its validity among post-stroke (PS) patients is yet to be proven.

Research question

Computation methods being affected by the calibration type; the goal of this study is to compare lower limbs kinematics from Xsens system, after two calibrations against OMC in slow PS walkers exhibiting reduced ranges of movements.

Methods

Data was collected for six PS patients. They were equipped with 29 reflective markers and seven IMU. A minimum of two walks with a dynamic calibration and four walks with a static calibration were performed. All trials were accomplished at a self-selected walking speed and PS used their usual walking aids.

Results

Few interactions between the calibration type and side were found for the ankle abduction/adduction (A/A) bias, root mean square error (RMSE), and range of motion difference (ROMd) (p = 0.011, p = 0.048, p = 0.039). Few effects of the side on errors' values were found. We noticed some effects of the calibration type on errors' values, the dynamic calibration showing better results. In the sagittal plane, we reported RMSE values from 3.6 to 4.8°, 5.2 to 6.5°, and 5.0 to 5.9° for the hip, knee, and ankle dynamic calibration.

Significance

The calibration type, reduced range of movement, and slow walking speed does not seem to impact Xsens' accuracy to a great extent. Nevertheless, dynamic calibration provides slightly better results. Considering the patient's walking ability, we recommend using this calibration.

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引用次数: 0

Acknowledging our reviewers

IF 5.6 4区医学 Q1 ENGINEERING, BIOMEDICAL

Irbm

Pub Date : 2025-02-01 DOI: 10.1016/S1959-0318(25)00003-X

引用次数: 0

Leveraging Action Unit Derivatives for Early-Stage Parkinson's Disease Detection

IF 5.6 4区医学 Q1 ENGINEERING, BIOMEDICAL

Irbm

Pub Date : 2025-02-01 DOI: 10.1016/j.irbm.2024.100874

Anas Filali Razzouki , Laetitia Jeancolas , Graziella Mangone , Sara Sambin , Alizé Chalançon , Manon Gomes , Stéphane Lehéricy , Jean-Christophe Corvol , Marie Vidailhet , Isabelle Arnulf , Dijana Petrovska-Delacrétaz , Mounim A. El-Yacoubi

Objective

Hypomimia is a symptom of Parkinson's disease (PD), involving a decrease in facial movements and a loss of emotional expressions on the face. The objective of this study is to identify hypomimia in individuals in the early stage of PD by analyzing facial action units (AUs).

Methods

Our study included video recordings from 109 PD subjects and 45 healthy control (HC) subjects with an average of two videos per person (294 videos in total). The participants were requested to perform rapid syllable repetitions. For the purpose of discriminating between normal facial muscle movements and those specific to PD subjects experiencing hypomimia, we calculate the derivatives of the AUs. We derive global features based on the AUs intensities and their derivatives, and utilize XGBoost and Random Forest to perform the classification between PD and HC.

Results

We achieve subject-level classification scores of up to 73.7% for balanced accuracy (BA) and an area under the curve (AUC) of 81.39% using XGBoost, and a BA of 79.1% and an AUC of 83.7% with Random Forest. These findings show potential in identifying hypomimia during the early phases of PD. Moreover, this research could facilitate the continuous monitoring of hypomimia beyond hospital settings, enabled by telemedicine.

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引用次数: 0

Evaluation of the Performance of Blueback Physio® Medical Device in the Management of Patients Suffering from Chronic Low Back Pain: Randomized Clinical Trial

IF 5.6 4区医学 Q1 ENGINEERING, BIOMEDICAL

Irbm

Pub Date : 2025-02-01 DOI: 10.1016/j.irbm.2024.100875

Ines Moudjari , Caroline Pautard , Clément Jouanneau , Anne-gaëlle Servel , Philippe Le Cavorzin , Benjamin Margo , Ophélie Flageul , Gwenvael Le Guicher , Régine Le Bouquin Jeannès

Background

Chronic low back pain (CLBP) is one of the leading causes of disability in the world population. In 2017, in central Europe and North America, prevalence of CLBP was 12.51% and 9.80% respectively. The rehabilitation of the abdominal muscles, and notably the deep transversus abdominis, plays an important role in the management of CLBP in physiotherapy.

Objectives

The main objective of this study is to prove that a biofeedback device of the transversus abdominis, named Blueback Physio

^{®}

, developed by the Blueback company, improves the management of patients suffering from this pain.

Design

The clinical trial is designed as a prospective, monocentric, comparative, open-label randomized and parallel group study.

Method

41 subjects were included in this study and divided into two groups, one control group, in which the subjects used the device without visual biofeedback, and one intervention group, where the subjects used the complete biofeedback. The study included patients cared in day or full hospitalization in FSEF Rennes-Beaulieu Clinic, France, as part of the PRESDO program (“programme de prévention secondaire des dorso-lombalgies”).

Results

We found that patients who use visual biofeedback of the transverse abdominis muscle are more likely to (i) quickly learn to voluntarily contract this muscle and (ii) have better control of this muscle compared to patients who do not use it. Finally, the PRESDO program improves overall patient well-being.

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引用次数: 0

The R-Vessel-X Project

IF 5.6 4区医学 Q1 ENGINEERING, BIOMEDICAL

Irbm

Pub Date : 2025-02-01 DOI: 10.1016/j.irbm.2025.100876

Abir Affane , Mohamed A. Chetoui , Jonas Lamy , Guillaume Lienemann , Raphaël Peron , Pierre Beaurepaire , Guillaume Dollé , Marie-Ange Lebre , Benoît Magnin , Odyssée Merveille , Mathilde Morvan , Phuc Ngo , Thibault Pelletier , Hugo Rositi , Stéphanie Salmon , Julien Finet , Bertrand Kerautret , Nicolas Passat , Antoine Vacavant

1) Objectives: This technical report presents a synthetic summary and the principal outcomes of the project R-Vessel-X (“Robust vascular network extraction and understanding within hepatic biomedical images”) funded by the French Agence Nationale de la Recherche, and developed between 2019 and 2023. 2) Material and methods: We used datasets and tools publicly available such as IRCAD, Bullitt or VascuSynth to obtain real or synthetic angiographic images. The main contributions lie in the field of 3D angiographic image analysis: filtering, segmentation, modeling and simulation, with a specific focus on the liver. 3) Results: We paid a particular attention to open-source software diffusion of the developed methods, by means of 3D Slicer plugins for the liver anatomy segmentation (SlicerRVXLiverSegmentation) and vesselness filtering (SlicerRVXVesselnessFilters), and an online demo for the generation of synthetic and realistic vessels in 2D and 3D (OpenCCO). 4) Conclusion: The R-Vessel-X project provided extensive research outcomes, covering various topics related to 3D angiographic image analysis, such as filtering, segmentation, modeling and simulation. We also developed open-source and free softwares so that the research communities in biomedical engineering can use these results in their future research.

{"title":"The R-Vessel-X Project","authors":"Abir Affane , Mohamed A. Chetoui , Jonas Lamy , Guillaume Lienemann , Raphaël Peron , Pierre Beaurepaire , Guillaume Dollé , Marie-Ange Lebre , Benoît Magnin , Odyssée Merveille , Mathilde Morvan , Phuc Ngo , Thibault Pelletier , Hugo Rositi , Stéphanie Salmon , Julien Finet , Bertrand Kerautret , Nicolas Passat , Antoine Vacavant","doi":"10.1016/j.irbm.2025.100876","DOIUrl":"10.1016/j.irbm.2025.100876","url":null,"abstract":"<div><div><strong>1) Objectives:</strong> This technical report presents a synthetic summary and the principal outcomes of the project R-Vessel-X (“Robust vascular network extraction and understanding within hepatic biomedical images”) funded by the French <em>Agence Nationale de la Recherche</em>, and developed between 2019 and 2023. <strong>2) Material and methods:</strong> We used datasets and tools publicly available such as IRCAD, Bullitt or VascuSynth to obtain real or synthetic angiographic images. The main contributions lie in the field of 3D angiographic image analysis: filtering, segmentation, modeling and simulation, with a specific focus on the liver. <strong>3) Results:</strong> We paid a particular attention to open-source software diffusion of the developed methods, by means of 3D Slicer plugins for the liver anatomy segmentation (SlicerRVXLiverSegmentation) and vesselness filtering (SlicerRVXVesselnessFilters), and an online demo for the generation of synthetic and realistic vessels in 2D and 3D (OpenCCO). <strong>4) Conclusion:</strong> The R-Vessel-X project provided extensive research outcomes, covering various topics related to 3D angiographic image analysis, such as filtering, segmentation, modeling and simulation. We also developed open-source and free softwares so that the research communities in biomedical engineering can use these results in their future research.</div></div>","PeriodicalId":14605,"journal":{"name":"Irbm","volume":"46 1","pages":"Article 100876"},"PeriodicalIF":5.6,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143146010","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

Biomechanical Effects of Osteoporosis on the Sacroiliac Joint After Lumbosacral Fusion Surgery

IF 5.6 4区医学 Q1 ENGINEERING, BIOMEDICAL

Irbm

Pub Date : 2025-01-30 DOI: 10.1016/j.irbm.2025.100877

Wei Fan , Chao Wang , Sheng-Nan Liu , Yu Zhang , Ming Zhang , Li-Xin Guo

Objective

Lumbar/lumbosacral fusion is a common surgical approach for treating lumbar degenerative disc disease, a condition that disproportionately affects a large portion of elderly population. Osteoporosis, another age-related disease, is also prevalent among the elderly. Previous studies have elucidated the biomechanical effects of osteoporosis on the postoperative lumbar spine. However, little attention has been paid to adjacent sacroiliac joints (SIJs), and it remains unclear whether or how osteoporosis impacts the SIJ biomechanics. The aim of this study was to determine the effects of osteoporosis on the range of motion (ROM) and stress distribution within the SIJs following lumbosacral fusion, and to identify potential implications for postoperative outcomes.

Methods

The previously validated, normal human lumbo-pelvic finite-element model was used to simulate the interbody fusion procedures at L5–S1, and an osteoporotic condition was simulated by reducing bone mechanical properties in the model. The ROM and stress distribution within the left and right SIJs were compared between the surgical models with and without osteoporosis in flexion, extension, lateral bending, and axial rotation motions.

Results

The presence of osteoporosis led to a significant increase in SIJ ROM: 38.9% and 36.5% in flexion, 19.5% and 15.9% in extension, 33.3% and 40.0% in lateral bending, and 26.38% and 20.0% in axial rotation, respectively, for left and right SIJs. Moreover, higher stress concentrations were observed at the SIJs in the osteoporotic model.

Conclusion

Osteoporosis exacerbates the SIJ motion and stress after lumbosacral fusion, indicating a potential increased risk of SIJ instability and degeneration among affected patients. The findings underscore the importance of considering osteoporosis in preoperative planning and postoperative management strategies for lumbosacral fusion procedures.

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引用次数: 0

Potential of Near-Infrared Optical Techniques for Non-invasive Blood Glucose Measurement: A Pilot Study 近红外光学技术在无创血糖测量中的潜力：试点研究

IF 5.6 4区医学 Q1 ENGINEERING, BIOMEDICAL

Irbm

Pub Date : 2024-11-12 DOI: 10.1016/j.irbm.2024.100870

Sameera Fathimal M. , Janardanan Subramonia Kumar , Jeya Prabha A. , Jothiraj Selvaraj , Fabiola Jemmie Shilparani F. , Angeline Kirubha S.P.

Background

Diabetes mellitus manifested by escalated blood glucose, demands periodic or continuous glucose monitoring in the pursuit of improved control, optimal management, and appropriate medication. The existing state-of-the-art for blood glucose estimation are invasive methodologies necessitating the acquisition of blood sample through either a finger-stick or venipuncture.

Methods

We propose a dual Near-infrared wavelength integrated in a 3D printed enclosure as the optical prototype for non-invasive glucose estimation. We acquired data from both diabetic and healthy subjects with the developed system and subsequently validated the system.

Results

The system demonstrated commendable clinical accuracy, as evidenced by the alignment of data pairs representing actual blood glucose levels and blood glucose levels predicted by our optical system within the A+B zones of the Parkes error grid and zones of no-risk and lower risk as defined by the surveillance error grid. We achieved compliant pairs percentage of 95.6%, which satisfies the accuracy requirements of the blood glucose monitoring surveillance study. The mean absolute percentage error attained with the proposed device (5.99%) was significant in predicting the blood glucose.

Conclusion

We successfully deployed the NIR wavelengths functionality as the promising approach for glucose monitoring, offering new possibilities for improved medical interventions.

背景糖尿病表现为血糖升高，需要定期或连续监测血糖，以改善控制、优化管理和适当用药。我们提出了一种集成在 3D 打印外壳中的双近红外波长，作为无创血糖估测的光学原型。结果该系统表现出了值得称赞的临床准确性，这体现在代表实际血糖水平的数据对和我们的光学系统预测的血糖水平对准了 Parkes 误差网格的 A+B 区以及监视误差网格定义的无风险区和低风险区。我们达到了 95.6% 的符合对比例，满足了血糖监测监控研究的准确性要求。结论我们成功地将近红外波长功能作为血糖监测的有效方法，为改善医疗干预提供了新的可能性。

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引用次数: 0