Results 181 to 190 of about 17,689 (224)
Some of the next articles are maybe not open access.
2020 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), 2020
Internet of Things (IoT) is gaining significant development for various applications, including healthcare and medical field. The connectivity of sensor nodes using IoT enables the possibility of extracting more features from the data gathered. This information can be used to prepare real-time assistive technology and help in supervision, alert ...
Y Sri Sai Madhu Vinay Chowdary +4 more
openaire +1 more source
Internet of Things (IoT) is gaining significant development for various applications, including healthcare and medical field. The connectivity of sensor nodes using IoT enables the possibility of extracting more features from the data gathered. This information can be used to prepare real-time assistive technology and help in supervision, alert ...
Y Sri Sai Madhu Vinay Chowdary +4 more
openaire +1 more source
A wireless surface electromyography (sEMG) probe with 4 high-speed channels
2012 IEEE Sensors, 2012This paper presents the design and development of a wireless surface electromyography (sEMG) probe with 4 highspeed channels. Compared to the portable sEMG probes available in the market, the presented wireless sEMG probe has (a) higher transmission speed, allowing higher sampling frequency, (b) a higher number of sensing channels, and (c) a wide range
Giona Imperatori, Diego Barrettino
openaire +1 more source
2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2007
Surface electromyographic (sEMG) analysis is complicated by the fact that the data are inherently non-stationary. To deal with this and to determine muscle activity patterns during reaching movements, we proposed modeling sEMG with a hidden Markov model-multivariate autoregressive (HMM-mAR) framework.
Joyce, Chiang +2 more
openaire +2 more sources
Surface electromyographic (sEMG) analysis is complicated by the fact that the data are inherently non-stationary. To deal with this and to determine muscle activity patterns during reaching movements, we proposed modeling sEMG with a hidden Markov model-multivariate autoregressive (HMM-mAR) framework.
Joyce, Chiang +2 more
openaire +2 more sources
Journal of Electromyography and Kinesiology, 2018
The aim of this systematic review was to examine procedures used and outcome measures reported from surface EMG (sEMG) of extradiaphragm inspiratory muscles in healthy people. Relevant articles were searched using the concepts "electromyography (EMG)", "respiratory muscles (sternocleidomastoid [SM], scalene, intercostal [IC] and parasternal)" and ...
Elis E.A. Cabral +5 more
openaire +2 more sources
The aim of this systematic review was to examine procedures used and outcome measures reported from surface EMG (sEMG) of extradiaphragm inspiratory muscles in healthy people. Relevant articles were searched using the concepts "electromyography (EMG)", "respiratory muscles (sternocleidomastoid [SM], scalene, intercostal [IC] and parasternal)" and ...
Elis E.A. Cabral +5 more
openaire +2 more sources
The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2005
Because of the difficulty in analysis and interpretation of surface electromyography (sEMG), the specific muscle contraction synergy associated with low back pain continues to be debated. Streaming topography is a novel method of continuously visualizing the distribution of sEMG signals during dynamic motion to provide a more comprehensive examination ...
Mak, JNF +4 more
openaire +3 more sources
Because of the difficulty in analysis and interpretation of surface electromyography (sEMG), the specific muscle contraction synergy associated with low back pain continues to be debated. Streaming topography is a novel method of continuously visualizing the distribution of sEMG signals during dynamic motion to provide a more comprehensive examination ...
Mak, JNF +4 more
openaire +3 more sources
2021 IEEE 71st Electronic Components and Technology Conference (ECTC), 2021
A elegant extremely flexible Fan-Out Wafer-Level Packaging (FOWLP) based fully integrated bipolar multi-channel (up to 12 channels) surface electromyography (sEMG) device and assembly is demonstrated for intraoperative neurological monitoring (IONM) for complex spine surgeries and post-op physiological monitoring.
A. Alam +7 more
openaire +1 more source
A elegant extremely flexible Fan-Out Wafer-Level Packaging (FOWLP) based fully integrated bipolar multi-channel (up to 12 channels) surface electromyography (sEMG) device and assembly is demonstrated for intraoperative neurological monitoring (IONM) for complex spine surgeries and post-op physiological monitoring.
A. Alam +7 more
openaire +1 more source
Surface Electromyography Meets Biomechanics or Bringing sEMG to Clinical Application
2018Impaired muscular activation causes pain, disability and loss of quality of life. To preserve and to restore movement performance is a challenge, and technologies enabling more effective treatment have gained high importance. Surface-Electromyography (sEMG) technologies allow the pain-free assessment of muscular activation, but they have rarely been ...
Catherine Disselhorst-Klug +2 more
openaire +1 more source
Gait cadence detection based on surface electromyography (sEMG) of lower limb muscles
2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems (MFI), 2014Surface electromyography (sEMG) signals could represent the contractions of muscle activity which contains approximately accurate information about joint movements and motor torque. In this study, a new gait cadence detection method was presented by using the sEMG signals of lower limb muscles.
Qinglei Sun +3 more
openaire +1 more source
Surface Electromyography (SEMG) Based Robotic Assistive Device
2022 IEEE 5th International Symposium in Robotics and Manufacturing Automation (ROMA), 2022Wong Hooi Guan +8 more
openaire +1 more source
2021
The myoelectric interface acts as an important role in the field of wearable robotics. This study explores the current-based sEMG technology for upper-limb motion recognition. Different from the voltage-based sEMG system, the current-based sampling approach can directly extract the current signals and be free from the cross talks.
Cheng Zeng +3 more
openaire +1 more source
The myoelectric interface acts as an important role in the field of wearable robotics. This study explores the current-based sEMG technology for upper-limb motion recognition. Different from the voltage-based sEMG system, the current-based sampling approach can directly extract the current signals and be free from the cross talks.
Cheng Zeng +3 more
openaire +1 more source