EMG DEVICE FOR CHECKING UTERINE CONTRACTION BASED ON USER ACTIVITY TRACKING AND EMG SIGNAL AND METHOD THEREOF

• 1. 肌电电极位置确定方法、肌电信号采集方法、装置及设备 [P] . 中国专利： CN112043270A . 2020-12-08
• 2. 一种基于肌电信号的双向递归肌电特征选择方法 [P] . 中国专利： CN111209857A . 2020-05-29
• 3. EEG EMG DEVICE FOR CHECKING UTERINE CONTRACTION BASED ON USER EEG AND EMG SIGNAL AND METHOD THEREOF [P] . 韩国专利： KR101803291B1 . 2017-12-01

  机译： 基于用户脑电信号和肌电信号的子宫收缩肌电肌电设备及其方法

• 4. EEG EMG DEVICE FOR CHECKING UTERINE CONTRACTION BASED ON USER EEG AND EMG SIGNAL AND METHOD THEREOF [P] . 韩国专利： KR20170130773A . 2017-11-29

  机译： 基于用户脑电信号和肌电信号的子宫收缩肌电肌电设备及其方法

• 5. Method and apparatus for uterine contraction monitoring using linear predictive modeling of abdominal surface EMG signals [P] . 英国专利： GB2384566B . 2005-12-14

  机译： 使用腹部表面肌电信号的线性预测模型进行子宫收缩监测的方法和设备

• 1. Multifractal analysis of surface EMG signals for assessing muscle fatigue during static contractions [J] . WANG Gang, REN Xiao-mei, LI Lei, 浙江大学学报（英文版）（A辑：应用物理和工程） . 2007,第006期
• 2. An Anthropomorphic Robot Hand Developed Based on Underactuated Mechanism and Controlled by EMG Signals [J] . Da-peng Yang, Jing-dong Zhao, Yi-kun Gu, 仿生工程学报（英文版） . 2009,第003期
• 3. Motion Classification of EMG Signals Based on Wavelet Packet Transform and LS-SVMs Ensemble [J] . YAN Zhiguo, YOU Xiaoming, CHEN Jiamin, 天津大学学报（英文版） . 2009,第004期
• 4. A preliminary investigation of reproducibility of EMG signals during daytime masticatory muscle activity using a portable EMG logging device [J] . Omoto Katsuhiro, Shigemoto Shuji, Suzuki Yoshitaka, Journal of electromyography and kinesiology: Official journal of the International Society of Electrophysiological Kinesiology . 2015,第4期
• 5. Clinical relevance of surface EMG of the masticatory muscles. (Part 1): Resting activity, maximal and submaximal voluntary contraction, symmetry of EMG activity. [J] . S Hugger, H J Schindler, B Kordass, International journal of computerized dentistry . 2012,第4期
• 6. Performance analysis of four nonlinearity analysis methods using a model with variable complexity and application to uterine EMG signals [J] . DiabA., HassanM., MarqueC., Medical engineering & physics. . 2014,第6期
• 7. Investigation of Surface EMG and Acceleration Signals of Limbs' Tremor in Parkinson's Disease Patients Using the Method of Electrical Activity Analysis Based on Wave Trains [C] . Olga S. Sushkova, Alexei A. Morozov, Alexandra V. Gabova, Ibero-American conference on artificial intelligence . 2018
• 8. Wavelet analysis of surface EMG signals from three superficial quadriceps muscles under varying levels of contraction intensity and velocity. [D] . Filipovic, David. 2014
• 9. Towards Whole Body Fatigue Assessment of Human Movement: A Fatigue-Tracking System Based on Combined sEMG and Accelerometer Signals [O] . Haiwei Dong, Izaskun Ugalde, Nadia Figueroa, 2014
• 10. Performance analysis of four nonlinearity analysis methods using a model with variable complexity and application to uterine EMG signals. [O] . Diab, Ahmad, Hassan, Mahmoud, Marque, Catherine, 2014

• 1. Classification of uterine EMG signals using supervised classification method [J] . Mohamad O. Diab ,Amira El-Merhie ,Nour El-Halabi . 生物医学工程（英文） . 2010,第9期
• 2. Characterization of the Modified Lifting Scheme Compression Method of EMG Signals [J] . Ele Pierre ,Ntsama Eloundou Pascal ,Tonye Emmanuel . 通讯和计算机 . 2011,第011期
• 3. 基于神经网络的针电级肌电信号的AR模型参数和功率谱的估计 [C] . 陈香 ,杨基海 ,钟展辉 . 99'中国生物医学电子学学术年会 . 1999
• 4. 基于肌电信号和肌骨模型的肌力预测方法及其应用研究 [A] . 张晋铭 . 2018