Sparsity Analysis of a Sonomyographic Muscle-Computer Interface

• Published in: IEEE transactions on biomedical engineering Vol. 67; no. 3; pp. 688 - 696
• Main Authors: Akhlaghi, Nima, Dhawan, Ananya, Khan, Amir A., Mukherjee, Biswarup, Diao, Guoqing, Truong, Cecile, Sikdar, Siddhartha
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.03.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Accuracy; Classification; Deformation effects; Degrees of freedom; Electromyography - instrumentation; Electromyography - methods; Equipment Design; Field of view; Fisher criterion; Forearm; Forearm - diagnostic imaging; Forearm - physiology; Gesture recognition; Humans; Image acquisition; Image classification; Imaging; Instrumentation; Interfaces; Movement - physiology; Muscle, Skeletal - diagnostic imaging; Muscle, Skeletal - physiology; Muscle-computer interface; Muscles; mutual information; Optimization; Placement; Power consumption; Probes; prosthesis control; Rehabilitation; Sensors; Three-dimensional displays; Transducers; Ultrasonic imaging; Ultrasonography - instrumentation; Ultrasonography - methods; Ultrasound; ultrasound imaging; Wearable Electronic Devices; wearable system

Objective: Sonomyography has been shown to be a promising method for decoding volitional motor intent from analysis of ultrasound images of the forearm musculature. The objectives of this paper are to determine the optimal location for ultrasound transducer placement on the anterior forearm for imag...