Výsledky vyhledávání - "CNN-LSTM algorithm"

Complete Gait Phase Recognition Based on Muscle Synergy Using PSO-CNN-LSTM Algorithm Autor Zhang, Kewen, Li, Xiaoling, Chen, Xin, Yu, Longjie, Jin, Yinan, Fan, Bingfei, Du, Mingyu, Bao, Guanjun, Wu, Xinyu, Cai, Shibo

“…Accurately recognizing gait phases, by applying proper instrumentation and measurement, is significant in walking rehabilitation training for patients with…”
Získat plný text

Hybrid deep learning framework for EMG signal-based recognition of rehabilitation gestures Autor Li, Jinke, Guo, Xinqiang, Luo, Mingxiang, Zou, Yupeng, Zhang, Shuo, Wu, Xinyu, Yin, Meng, Cao, Wujing

Získat plný text

EMG Based Rehabilitation Gesture Recognition Using DAE-CNN-LSTM Hybrid Model Autor Cao, Wujing, Guo, Xinqiang, Zou, Yupeng, Zhang, Shuo, Luo, Mingxiang, Kobsiriphat, Worawarit, Wu, Xinyu, Yin, Meng

“…Stroke, as one of the leading causes of long-term disability globally, often results in motor impairments, particularly in the hands, significantly affecting…”
Získat plný text

Differential diagnosis of common etiologies of left ventricular hypertrophy using a hybrid CNN-LSTM model Autor Hwang, In-Chang, Choi, Dongjun, Choi, You-Jung, Ju, Lia, Kim, Myeongju, Hong, Ji-Eun, Lee, Hyun-Jung, Yoon, Yeonyee E., Park, Jun-Bean, Lee, Seung-Pyo, Kim, Hyung-Kwan, Kim, Yong-Jin, Cho, Goo-Yeong

“… (CNN-LSTM) algorithm was constructed to independently classify the 3 diagnoses on each view, and the final diagnosis was made…”
Získat plný text

Accelerated ageing effects on the EMC performance of LDO regulators under multi-stresses: Experimental study and prediction approach Autor Liu, Hao, Fan, Xuliang, Hu, Xiaofeng, Liu, Sheng, Wang, Junjie

“… In this paper, a novel model is proposed to predict the conducted immunity deviations of LDOs based on convolutional neural networks and a long short-term memory (CNN LSTM) algorithm…”
Získat plný text

Development of Gait Classification System Using Six-Axis Inertial Sensors by CNN-LSTM Autor Ohno, Shotaro, Nagamune, Kouki

“…Restoration of walking function is the most important goal of rehabilitation. However, the evaluation of post-stroke rehabilitation lacks quantitative…”
Získat plný text

Accurate Prediction of Knee Joint Angles Using a Hybrid CNN-LSTM-Attention Network from Surface Electromyography Autor Wang, Zhuo, Chen, Hui, Yang, Fangliang, Wang, Xiangyang, Wu, Xinyu, Chen, Chunjie

“…) data for continuous prediction of knee angles. Five able-bodied subjects participated in the study, walking at a self-selected pace while six surface electromyography (sEMG…”
Získat plný text