Xianta相关文献与解析，生知库 | 链接生命科学的每一步

The effectiveness of simple heuristic features in sensor orientation and placement problems in human activity recognition using a single smartphone accelerometer

利用单个智能手机加速度计进行人体活动识别时，简单启发式特征在传感器方向和位置问题上的有效性

期刊:Biomedical Engineering Online

影响因子:3.2

doi:10.1186/s12938-024-01213-3

Barua, Arnab; Jiang, Xianta; Fuller, Daniel

发表日期：2024

文献求助收藏

Phase-Based Grasp Classification for Prosthetic Hand Control Using sEMG

基于表面肌电图的假肢手控制相位抓握分类

期刊:Biosensors-Basel

影响因子:5.6

doi:10.3390/bios12020057

Wang, Shuo; Zheng, Jingjing; Zheng, Bin; Jiang, Xianta

发表日期：2022

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Exploring Orientation Invariant Heuristic Features with Variant Window Length of 1D-CNN-LSTM in Human Activity Recognition

探索具有不同窗口长度的1D-CNN-LSTM的方向不变启发式特征在人体活动识别中的应用

期刊:Biosensors-Basel

影响因子:5.6

doi:10.3390/bios12070549

Barua, Arnab; Fuller, Daniel; Musa, Sumayyah; Jiang, Xianta

Human

发表日期：2022

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Machine learning corroborates subjective ratings of walking and balance difficulty in multiple sclerosis

机器学习证实了多发性硬化症患者对行走和平衡困难的主观评价

期刊:Frontiers in Artificial Intelligence

影响因子:4.7

doi:10.3389/frai.2022.952312

Hu, Wenting; Combden, Owen; Jiang, Xianta; Buragadda, Syamala; Newell, Caitlin J; Williams, Maria C; Critch, Amber L; Ploughman, Michelle

Feature-Classifier Pairing Compatibility for sEMG Signals in Hand Gesture Recognition under Joint Effects of Processing Procedures

处理过程联合影响下，手部手势识别中表面肌电信号的特征-分类器配对兼容性

期刊:Bioengineering-Basel

影响因子:3.8

doi:10.3390/bioengineering9110634

Asfour, Mohammed; Menon, Carlo; Jiang, Xianta

信号转导

发表日期：2022

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Building Effective Machine Learning Models for Ankle Joint Power Estimation During Walking Using FMG Sensors

利用FMG传感器构建用于步行过程中踝关节功率估计的有效机器学习模型

期刊:Frontiers in Neurorobotics

影响因子:2.8

doi:10.3389/fnbot.2022.836779

Heeb, Oliver; Barua, Arnab; Menon, Carlo; Jiang, Xianta

发表日期：2022

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A Wearable Gait Phase Detection System Based on Force Myography Techniques

基于力肌电图技术的可穿戴步态相位检测系统

期刊:Sensors

影响因子:3.5

doi:10.3390/s18041279

Jiang, Xianta; Chu, Kelvin H T; Khoshnam, Mahta; Menon, Carlo

发表日期：2018

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Force Myography for Monitoring Grasping in Individuals with Stroke with Mild to Moderate Upper-Extremity Impairments: A Preliminary Investigation in a Controlled Environment

利用力肌电图监测轻度至中度上肢功能障碍中风患者的抓握能力：一项受控环境下的初步研究

期刊:Frontiers in Bioengineering and Biotechnology

影响因子:4.8

doi:10.3389/fbioe.2017.00042

Sadarangani, Gautam P; Jiang, Xianta; Simpson, Lisa A; Eng, Janice J; Menon, Carlo

A multimodal dataset for robotic peg extraction based on Bioin-Tacto sensor modules

基于Bioin-Tacto传感器模块的多模态机器人插销提取数据集

The effectiveness of simple heuristic features in sensor orientation and placement problems in human activity recognition using a single smartphone accelerometer

利用单个智能手机加速度计进行人体活动识别时，简单启发式特征在传感器方向和位置问题上的有效性

Phase-Based Grasp Classification for Prosthetic Hand Control Using sEMG

基于表面肌电图的假肢手控制相位抓握分类

Exploring Orientation Invariant Heuristic Features with Variant Window Length of 1D-CNN-LSTM in Human Activity Recognition

探索具有不同窗口长度的1D-CNN-LSTM的方向不变启发式特征在人体活动识别中的应用

Machine learning corroborates subjective ratings of walking and balance difficulty in multiple sclerosis

机器学习证实了多发性硬化症患者对行走和平衡困难的主观评价

Feature-Classifier Pairing Compatibility for sEMG Signals in Hand Gesture Recognition under Joint Effects of Processing Procedures

处理过程联合影响下，手部手势识别中表面肌电信号的特征-分类器配对兼容性

Building Effective Machine Learning Models for Ankle Joint Power Estimation During Walking Using FMG Sensors

利用FMG传感器构建用于步行过程中踝关节功率估计的有效机器学习模型

A Wearable Gait Phase Detection System Based on Force Myography Techniques

基于力肌电图技术的可穿戴步态相位检测系统

Force Myography for Monitoring Grasping in Individuals with Stroke with Mild to Moderate Upper-Extremity Impairments: A Preliminary Investigation in a Controlled Environment

利用力肌电图监测轻度至中度上肢功能障碍中风患者的抓握能力：一项受控环境下的初步研究