IF 5.6 4区医学 Q1 ENGINEERING, BIOMEDICAL

Irbm

Pub Date : 2025-04-01 Epub 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.

目的腰椎/腰骶融合术是治疗腰椎间盘退行性疾病的常用手术方法，这种疾病在很大一部分老年人中发病率很高。骨质疏松症，另一种与年龄有关的疾病，在老年人中也很普遍。先前的研究已经阐明了骨质疏松症对术后腰椎的生物力学影响。然而，对邻近骶髂关节（SIJ）的关注很少，骨质疏松症是否或如何影响SIJ的生物力学尚不清楚。本研究的目的是确定骨质疏松症对腰骶融合术后sij内活动范围（ROM）和应力分布的影响，并确定对术后结果的潜在影响。方法采用先前验证的正常人腰骨盆有限元模型模拟L5-S1椎间融合过程，并通过降低模型中的骨力学性能来模拟骨质疏松状况。比较有骨质疏松和无骨质疏松的手术模型在屈伸、侧屈和轴向旋转运动中左、右sij内的ROM和应力分布。结果骨质疏松的存在导致左、右SIJ的ROM明显增加：屈曲38.9%、36.5%，伸展19.5%、15.9%，侧弯33.3%、40.0%，轴向旋转26.38%、20.0%。此外，在骨质疏松模型中，sij处观察到较高的应力浓度。结论骨质疏松加剧了腰骶融合术后SIJ的运动和应激，提示患者SIJ不稳定和退变的风险增加。研究结果强调了在腰骶融合手术的术前计划和术后管理策略中考虑骨质疏松症的重要性。

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引用次数: 0

IMU Calibration Effect on Lower Limbs Kinematics Against Optical Motion Capture in Post-Stroke Gait IMU标定对脑卒中后步态光学运动捕捉下肢运动学的影响

IF 5.6 4区医学 Q1 ENGINEERING, BIOMEDICAL

Irbm

Pub Date : 2025-02-01 Epub Date: 2024-11-28 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.

中风是全世界最常见的致残原因。康复是恢复功能的核心。惯性测量单元（IMU）可以用来简化目标设定和监测进展。与光学运动捕捉（OMC）相反，IMU更便宜，便携，并且允许在流动环境中进行大规模数据收集。虽然Xsens MVN系统的有效性已在健康参与者中得到证实，但其在脑卒中后（PS）患者中的有效性尚未得到证实。研究问题：标定类型对计算方法的影响本研究的目的是比较来自Xsens系统的下肢运动学，经过两次与OMC校准后，缓慢的PS步行者表现出运动范围缩小。方法收集6例PS患者的资料。他们配备了29个反射标记和7个IMU。进行了至少两次动态校准行走和四次静态校准行走。所有的试验都是在自己选择的步行速度下完成的，PS使用他们常用的步行辅助工具。结果踝关节外展/内收（A/A）偏差、均方根误差（RMSE）和活动范围差（ROMd）与校准类型和侧面之间的交互作用较小（p = 0.011, p = 0.048, p = 0.039）。研究发现，侧面对误差值的影响很小。我们注意到标定类型对误差值的影响，动态标定效果更好。在矢状面，我们报告了髋关节、膝关节和踝关节动态校准的RMSE值为3.6至4.8°、5.2至6.5°和5.0至5.9°。校准类型、缩小的运动范围和缓慢的行走速度似乎并没有在很大程度上影响Xsens的准确性。然而，动态校准提供了稍微好一些的结果。考虑到患者的行走能力，我们建议使用此校准。

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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 : 2025-02-01 Epub 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

Effect of Skeletal Muscle Immobilization on Regional Anisotropic Viscohyperelastic Properties Change in a Rat Model 骨骼肌固定对大鼠模型区域各向异性粘弹性特性变化的影响

IF 5.6 4区医学 Q1 ENGINEERING, BIOMEDICAL

Irbm

Pub Date : 2025-02-01 Epub Date: 2024-11-04 DOI: 10.1016/j.irbm.2024.100868

Clément Simon, Sonia Rekik, Mustapha Zidi

Objectives

The passive mechanical properties of immobilized skeletal muscle in short position were investigated over time. The purpose of this study was to explore in three different zones (distal, proximal and medial) of the biceps brachii immobilized of rats in short position and its free contralateral.

Material and methods

In vitro equibiaxial relaxation tests were performed from samples harvested from immobilized skeletal muscles of rats during one or two weeks. Material parameters were identified by using a viscohyperelastic model described by an anisotropic strain energy function coupled with second order Maxwell's model.

Results

The excising zone of samples greatly influenced the parameters of the hyperelastic behavior while the immobilization had effects on the viscoelasticity response instead. Based on measurements of histological parameters from flexor carpi ulnaris muscles, the immobilization produced contractile tissue atrophy and connective tissue thickening. A correlation between mechanical and structural characteristics was given. The histological analysis permitted to quantify fibrosis in the immobilized skeletal muscle and to correlate with the mechanical behavior change.

Conclusion

The immobilization of skeletal muscles in short position is highly deleterious. Immobilized rats displayed marked atrophy of skeletal muscle, fibrosis of the extracellular matrix and a tendency to visco-hyperelastic parameter changes. This work has the potential to be useful for future research on neuromuscular diseases like spastic myopathy which leads to muscular immobilization.

目的研究短位固定骨骼肌随时间变化的被动机械特性。本研究旨在探索短位固定大鼠肱二头肌的三个不同区域（远端、近端和内侧）及其自由对侧。结果样品的切除区极大地影响了超弹性行为的参数，而固定则影响了粘弹性响应。根据尺侧屈肌组织学参数的测量结果，固定会导致收缩组织萎缩和结缔组织增厚。机械和结构特征之间存在相关性。通过组织学分析，可以量化固定骨骼肌中的纤维化，并与机械性能变化相关联。被固定的大鼠表现出骨骼肌明显萎缩、细胞外基质纤维化以及粘弹性参数变化的趋势。这项研究可能有助于未来对神经肌肉疾病（如导致肌肉固定的痉挛性肌病）的研究。

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引用次数: 0

Acknowledging our reviewers 感谢我们的审稿人

IF 5.6 4区医学 Q1 ENGINEERING, BIOMEDICAL

Irbm

Pub Date : 2025-02-01 Epub Date: 2025-02-04 DOI: 10.1016/S1959-0318(25)00003-X

引用次数: 0

Leveraging Action Unit Derivatives for Early-Stage Parkinson's Disease Detection 利用行动单元衍生工具检测早期帕金森病

IF 5.6 4区医学 Q1 ENGINEERING, BIOMEDICAL

Irbm

Pub Date : 2025-02-01 Epub Date: 2025-01-03 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.

目的低贫血症是帕金森病（PD）的一种症状，包括面部运动减少和面部情绪表达的丧失。本研究的目的是通过分析面部动作单位（AUs）来识别早期PD患者的低贫血症。方法选取109名PD患者和45名健康对照（HC）患者的录像资料，平均每人2段，共294段。参与者被要求快速重复音节。为了区分正常的面部肌肉运动和那些特定的PD受试者经历低贫血症，我们计算了AUs的导数。我们基于AUs强度及其导数推导出全局特征，并利用XGBoost和Random Forest对PD和HC进行分类。结果使用XGBoost获得的学科水平分类分数的平衡精度（BA）和曲线下面积（AUC）分别为73.7%和81.39%，使用Random Forest获得的BA和AUC分别为79.1%和83.7%。这些发现显示了在PD早期阶段识别低血氧症的潜力。此外，通过远程医疗，这项研究可以促进在医院之外对低贫血症的持续监测。

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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 Blueback Physio®医疗器械治疗慢性腰痛的疗效评价：随机临床试验

IF 5.6 4区医学 Q1 ENGINEERING, BIOMEDICAL

Irbm

Pub Date : 2025-02-01 Epub Date: 2025-01-03 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.

背景：慢性腰痛（CLBP）是世界人口致残的主要原因之一。2017年，中欧和北美CLBP患病率分别为12.51%和9.80%。在物理治疗中，腹肌，尤其是腹深横肌的康复在CLBP的治疗中起着重要的作用。本研究的主要目的是证明由Blueback公司开发的一种名为Blueback Physio®的横腹生物反馈装置可以改善患有这种疼痛的患者的管理。临床试验设计为前瞻性、单中心、比较、开放标签、随机、平行组研究。方法将41名受试者分为两组，对照组使用无视觉生物反馈装置，干预组使用完全生物反馈装置。该研究包括在法国FSEF Rennes-Beaulieu诊所接受日间或全面住院治疗的患者，作为PRESDO方案的一部分（“后腰痛预防方案”）。结果我们发现，使用腹横肌视觉生物反馈的患者更有可能(i)快速学会自愿收缩该肌肉，（ii）与不使用该肌肉的患者相比，对该肌肉有更好的控制。最后，PRESDO项目改善了患者的整体健康状况。

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引用次数: 0

Real-Time Accuracy Evaluation of Arterial Catheter Transducer Systems 动脉导管传感器系统的实时精度评估

IF 5.6 4区医学 Q1 ENGINEERING, BIOMEDICAL

Irbm

Pub Date : 2025-02-01 Epub Date: 2024-11-04 DOI: 10.1016/j.irbm.2024.100867

Carole Lavault , Lisa Guigue , Daniel Anglade , Francis Grimbert , Yves Lavault , François Boucher , Norbert Noury

Introduction

Arterial pressure is currently monitored in ICU with a catheter–transducer fluid line. This fluid filled tubing line distorts the original waveform due to its dynamic characteristics (natural frequency, Fn, and damping coefficient, z), introducing potentially significant errors when calculating the cardiac output from pulse contour signal analysis.

Methods

In our study, we cross-compared Fn and z obtained with our new Fast External Pressure Test (FEPT) and with the Fast Flush Test (FFLT), to the reference technique (Sine wave variable Frequency Analysis Test - SFAT). It was carried on a testbench for 48 hours. Fn and z were measured using the three techniques with two fluid-filled tubing lines (standard, STD, and blood conserving device, BCD).

Results

Fn measurements with FEPT and FFLT present similar biases (0.79 vs 0.83 Hz), but lower variability for FEPT, with limits of agreement (LOA) ranging from −3.35 to +4.99 Hz for FFLT vs −2.29 to +3.86 Hz (

p < 0.0001

) for FEPT. For the measurement of z, FEPT has a bias of 0.047 and LOA of −0.063 to +0.157, much lower (

p < 0.0001

) than those measured with the FFLT (bias 0.139 and LOA −0.028 to +0.306).

Conclusion

When automated, the FEPT method will detect potential situations of over/under estimations occurrences. This will prevent false alarms, alarm fatigue and therefore consequences on patient care. Eventually, FEPT turns to be more accurate than FFLT, less scattered, less time-consuming, less invasive and so well suited for use in clinical settings.

导言：目前，重症监护室使用导管-传感器液体管路监测动脉压。在我们的研究中，我们将新型快速外部压力测试（FEPT）和快速冲洗测试（FFLT）获得的 Fn 和 z 与参考技术（正弦波变频分析测试 - SFAT）进行了交叉比较。测试在测试台上进行了 48 小时。结果用 FEPT 和 FFLT 测量 Fn 时出现了相似的偏差（0.79 vs 0.83 Hz），但 FEPT 的变异性较低，FFLT 的一致性范围 (LOA) 为 -3.35 至 +4.99 Hz，而 FEPT 为 -2.29 至 +3.86 Hz（p<0.0001）。对于 z 的测量，FEPT 的偏差为 0.047，LOA 为 -0.063 至 +0.157，远低于 FFLT 的测量值（偏差为 0.139，LOA 为 -0.028 至 +0.306）（p<0.0001）。这将防止误报、警报疲劳，从而避免对患者护理造成影响。最终，FEPT 比 FFLT 更准确、更分散、更省时、更具侵入性，因此非常适合在临床环境中使用。

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引用次数: 0

The R-Vessel-X Project R-Vessel-X项目

IF 5.6 4区医学 Q1 ENGINEERING, BIOMEDICAL

Irbm

Pub Date : 2025-02-01 Epub Date: 2025-01-15 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.

1)目的：本技术报告介绍了R-Vessel-X项目（“肝脏生物医学图像中的稳健血管网络提取和理解”）的综合总结和主要成果，该项目由法国国家研究机构资助，在2019年至2023年之间开发。2)材料和方法：我们使用公开的数据集和工具，如IRCAD， Bullitt或VascuSynth来获得真实或合成的血管造影图像。主要贡献在于三维血管造影图像分析领域：滤波，分割，建模和仿真，特别关注肝脏。3)结果：我们特别关注所开发方法的开源软件传播，通过肝脏解剖分割（SlicerRVXLiverSegmentation）和血管滤波（SlicerRVXVesselnessFilters）的3D切片器插件，以及生成二维和三维合成和逼真血管的在线演示（OpenCCO）。4)结论：R-Vessel-X项目提供了广泛的研究成果，涵盖了与3D血管造影图像分析相关的各种主题，如滤波、分割、建模和仿真。我们还开发了开源和免费软件，以便生物医学工程的研究团体可以在他们未来的研究中使用这些结果。

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引用次数: 0

Comprehensive Review of Feature Extraction Techniques for sEMG Signal Classification: From Handcrafted Features to Deep Learning Approaches 全面回顾用于 sEMG 信号分类的特征提取技术：从手工特征到深度学习方法

IF 5.6 4区医学 Q1 ENGINEERING, BIOMEDICAL

Irbm

Pub Date : 2024-12-01 Epub Date: 2024-11-05 DOI: 10.1016/j.irbm.2024.100866

Sidi Mohamed Sid'El Moctar, Imad Rida, Sofiane Boudaoud

Surface Electromyography (sEMG) has become an essential tool in various fields, including prosthetic control and clinical evaluation of the neuromusculoskeletal system. In recent years, the application of machine learning and deep learning techniques to sEMG signal classification has gained significant interest. This survey provides a detailed exploration of feature extraction methods for sEMG classification, from traditional handcrafted features to learned features.

Objectives

This review aims to provide a comprehensive overview of feature extraction techniques for sEMG signal classification, focusing on both handcrafted and learned features. It seeks to advance research by offering a deeper understanding of fundamental concepts in sEMG signal analysis, along with comparisons and summaries of state-of-the-art approaches.

Materials and Methods

The survey covers various feature extraction techniques used for sEMG classification, including signal acquisition, preprocessing, and the application of conventional machine learning and deep learning classifiers. It offers taxonomies, definitions, and performance comparisons, equipping researchers with a broad understanding of current methodologies.

Results

Handcrafted features combined with traditional machine learning classifiers have demonstrated strong performance, especially with smaller datasets. However, deep learning techniques have shown superior results in many applications, despite challenges related to data availability and model interpretability. The survey highlights key findings regarding the performance of both approaches.

Conclusion

This study bridges the gap between traditional and learned feature extraction techniques for sEMG signal classification. It provides a valuable resource for researchers and practitioners, offering insights that can guide future advancements. Key areas for future research include addressing data scarcity in deep learning and improving model interpretability for clinical applications.

表面肌电图（sEMG）已成为假肢控制和神经肌肉骨骼系统临床评估等多个领域的重要工具。近年来，机器学习和深度学习技术在 sEMG 信号分类中的应用受到了广泛关注。本综述详细探讨了用于 sEMG 分类的特征提取方法，包括传统的手工特征和学习特征。材料与方法该调查涵盖了用于 sEMG 分类的各种特征提取技术，包括信号采集、预处理以及传统机器学习和深度学习分类器的应用。它提供了分类标准、定义和性能比较，使研究人员对当前的方法有了广泛的了解。结果人工特征与传统机器学习分类器相结合，表现出很强的性能，尤其是在较小的数据集上。然而，尽管在数据可用性和模型可解释性方面存在挑战，深度学习技术在许多应用中都显示出了卓越的效果。本调查强调了有关这两种方法性能的主要发现。结论本研究弥补了用于 sEMG 信号分类的传统特征提取技术与学习特征提取技术之间的差距。它为研究人员和从业人员提供了宝贵的资源，提出了指导未来进步的见解。未来研究的关键领域包括解决深度学习中的数据稀缺问题，以及提高模型在临床应用中的可解释性。

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引用次数: 0

Irbm最新文献

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Background

Objectives

Design

Method

Results

Introduction

Methods

Results

Conclusion

Objectives

Materials and Methods

Results

Conclusion