Electromyography monitoring systems in rehabilitation: A review of clinical applications, wearable devices and signal acquisition methodologies
Recently, there has been an evolution toward a science-supported medicine, which uses
replicable results from comprehensive studies to assist clinical decision-making. Reliable …
replicable results from comprehensive studies to assist clinical decision-making. Reliable …
Biosignal-based human–machine interfaces for assistance and rehabilitation: A survey
As a definition, Human–Machine Interface (HMI) enables a person to interact with a device.
Starting from elementary equipment, the recent development of novel techniques and …
Starting from elementary equipment, the recent development of novel techniques and …
Overcoming challenges and innovations in orthopedic prosthesis design: an interdisciplinary perspective
PG Kulkarni, N Paudel, S Magar, MF Santilli… - Biomedical Materials & …, 2024 - Springer
Recent advances in the orthopedic prostheses design have significantly improved the
quality of life for individuals with orthopedic disabilities. However, there are still critical …
quality of life for individuals with orthopedic disabilities. However, there are still critical …
Surface electromyography as a natural human–machine interface: a review
Surface electromyography (sEMG) is a non-invasive method of measuring neuromuscular
potentials generated when the brain instructs the body to perform both fine and coarse …
potentials generated when the brain instructs the body to perform both fine and coarse …
Development of a self-powered piezo-resistive smart insole equipped with low-power ble connectivity for remote gait monitoring
The evolution of low power electronics and the availability of new smart materials are
opening new frontiers to develop wearable systems for medical applications, lifestyle …
opening new frontiers to develop wearable systems for medical applications, lifestyle …
[HTML][HTML] Individualized augmented reality training reduces phantom pain and cortical reorganization in amputees: a proof of concept study
Phantom limb pain (PLP) may be relieved using a visual representation of an intact limb.
However, patients with distorted (telescoped) phantoms seem unable to associate with …
However, patients with distorted (telescoped) phantoms seem unable to associate with …
Leveraging deep feature learning for wearable sensors based handwritten character recognition
SK Singh, A Chaturvedi - Biomedical Signal Processing and Control, 2023 - Elsevier
Despite rapid advancements in technology, handwritten characters still hold significant roles
in various fields, including education, communication, biometric signature verification, and …
in various fields, including education, communication, biometric signature verification, and …
Hand gesture recognition using machine learning and infrared information: a systematic literature review
RE Nogales, ME Benalcázar - International Journal of Machine Learning …, 2021 - Springer
Currently, gesture recognition is like a problem of feature extraction and pattern recognition,
in which a movement is labeling as belonging to a given class. A gesture recognition …
in which a movement is labeling as belonging to a given class. A gesture recognition …
Data quality and reliability assessment of wearable EMG and IMU sensor for construction activity recognition
The workforce shortage is one of the significant problems in the construction industry. To
overcome the challenges due to workforce shortage, various researchers have proposed …
overcome the challenges due to workforce shortage, various researchers have proposed …
Classification of surface electromyography and gyroscopic signals of finger gestures acquired by Myo armband using machine learning methods
C Tepe, M Erdim - Biomedical Signal Processing and Control, 2022 - Elsevier
Gestures of the human hand can be identified through processing of surface
electromyography (sEMG) signals. The human hand can perform many gestures via …
electromyography (sEMG) signals. The human hand can perform many gestures via …