Results 41 to 50 of about 19,737 (228)
A Low-Cost, Wireless, 3-D-Printed Custom Armband for sEMG Hand Gesture Recognition
Wearable technology can be employed to elevate the abilities of humans to perform demanding and complex tasks more efficiently. Armbands capable of surface electromyography (sEMG) are attractive and noninvasive devices from which human intent can be ...
Côté-Allard, Ulysse +8 more
core +1 more source
Details of the three sEMG benchmark databases.
Details of the three sEMG benchmark databases.
Haipeng Wang (3683113) +2 more
core +1 more source
The inability of new users to adapt quickly to the surface electromyography (sEMG) interface has greatly hindered the development of sEMG in the field of rehabilitation. This is due mainly to the large differences in sEMG signals produced by muscles when
Jinqiang Wang +4 more
doaj +1 more source
Recent Advances of Slip Sensors for Smart Robotics
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source
Hibrit veri kullanarak makine öğrenme temelli parmak hareketi sınıflandırma
Biyomedikal mühendisliği ve robotik teknolojideki gelişmeler, protezden rehabilitasyona kadar çeşitli uygulamalarda geleneksel yöntemlerle kullanılan el-parmak hareketlerinin algılanması yoluyla insan-makine etkileşiminin önemini artırmaktadır.
İsmail Mersinkaya +1 more
doaj +1 more source
Optically pumped magnetometers are employed to contactlessly map the spatiotemporal dynamics of the magnetic field linked to electrical activity of a skeletal muscle in vivo. It is demonstrated that localization of the clinically relevant innervation zone is feasible using this non‐invasive magnetic measurement modality. ABSTRACT Magnetomyography (MMG)
Simon Nordenström +12 more
wiley +1 more source
Recently the surface electromyogram signal (sEMG) based motion estimation developed rapidly, which focus on intention recognition but the other information of motion is not concerned.
Ye D(叶丹) +5 more
core +1 more source
Summary of respiratory muscle sEMG processing variables.
Summary of respiratory muscle sEMG processing variables.
Wagner Souza Leite (7502999) +6 more
core +1 more source
Deep Learning for Prediction of Diaphragm Activity from the Surface Electromyogram
The electrical activity of the diaphragm (EAdi) is a novel monitoring parameter for patients under assisted ventilation and is used for assessing the patient’s neural respiratory drive. It is recorded by an array of electrodes placed inside the esophagus
Bockelmann Niclas +5 more
doaj +1 more source
This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi +2 more
wiley +1 more source

