Figure 2 - uploaded by Maurizio Caon
Content may be subject to copyright.
Source publication
We present the optimization of a wearable surface electromyography-based system for activity recognition in relation with the number of sensed muscles. The muscles of interest were four: Gastrocnemius, Tibialis Anterior, Vastus Lateralis and Erector Spinae. In particular, the system has been tested for the recognition of five everyday activities: "...
Contexts in source publication
Context 1
... placed at two-thirds on the line from the Anterior Spina Iliaca Superior to the lateral side of the patella. Further details concerning the correct sensors placement for the Gastrocnemius and the Vastus Lateralis may be found in [20]. The reference electrode has been placed over an inactive tissue (tendons or bony parts) as suggested in [21] (see Fig. 2). All the electrodes have been placed on the user's dominant leg as depicted in Fig. 2. In Fig. 3, we show the electrode placement for the Erector ...
Context 2
... side of the patella. Further details concerning the correct sensors placement for the Gastrocnemius and the Vastus Lateralis may be found in [20]. The reference electrode has been placed over an inactive tissue (tendons or bony parts) as suggested in [21] (see Fig. 2). All the electrodes have been placed on the user's dominant leg as depicted in Fig. 2. In Fig. 3, we show the electrode placement for the Erector ...
Similar publications
Introduction:
This article is part of the Focus Theme of Methods of Information in Medicine on "Biosignal Interpretation: Ad-vanced Methods for Neural Signals and Images".
Objectives:
The study discusses a technique to automatically correct for effects of electrode grid displacement across serial surface EMG measurements with high-density electr...
Citations
... Research related to the use of electromyography, such as: spectrum analysis of surface electromyographic signals [3], myoelectric rehabilitation systems [4] [5], man-machine interface using superficial electromyography [6], systems of recognition and detection of myoelectric signals [7] [8], among others; they demonstrate the usefulness of the electromyography in the robotic prostheses' control, nowadays it is possible to find researches that link electromyography with active prostheses, such as: electromyography sensor based on the control of a hand exoskeleton [9], classification of the fingers' movements for the control of a prosthesis [10], recognition of an electromyographic signal for the control of a transfemoral prosthesis [11], among others. All of these systems involve the use of SEMG for their non-invasive and easily applicable characteristic, unlike the invasive electromyography that uses needle electrodes or wires, which are used in medical applications for the study of disorder of the muscular system. ...
The Surface Electromyography (SEMG) is a technique used for many applications in different areas such as: Neurology, Rehabilitation, Orthopedics, Ergonomics, Sports, etc. [15]. In the last years, this technique has led to great research, and several groups of researchers throughout the world have made inroads in the field of the electromyography applied to the my electric prostheses control. This project aims to detail the stages of amplification and filtering of a my electric signal, as well as to check the device's function for certain muscles of the lower limbs, as the project's first stage, the completed tests were made with obtained data in healthy subjects. For the circuits' design and implementation, components of easy acquisition and existents in the environment, were used, contributing with the technological development of the country