Developing a Multi-channel Beamformer by Enhancing Spatially Constrained ICA for Recovery of Correlated EEG Sources [PDF]
Background: Brain source imaging based on electroencephalogram (EEG) data aims to recover the neuron populations’ activity producing the scalp potentials. This procedure is known as the EEG inverse problem.
Nasser Samadzadehaghdam+5 more
doaj +1 more source
Brain⁃computer interface technology and its applications in neuroscience
Brain ⁃ computer interface (BCI) is a cutting ⁃ edge technology of interdisciplinary integration, which has been widely used in many fields. This article introduces the four key parts of BCI technology, including signal acquisition, feature extraction ...
WU Jia⁃ling, GAO Zhong⁃ke
doaj +1 more source
An Automated Measurement of Ciliary Beating Frequency using a Combined Optical Flow and Peak Detection [PDF]
ObjectivesThe mucociliary transport system is a major defense mechanism of the respiratory tract. The performance of mucous transportation in the nasal cavity can be represented by a ciliary beating frequency (CBF).
Woojae Kim+5 more
doaj +1 more source
Signal processing for computer-assisted instruction of sight singing [PDF]
SST (Sight Singing Tutor) is a computer-assisted instructional program to teach the skill of singing melodies at sight. The program displays a melody on the screen, accepts acoustic input from a user, then evaluates the user’s attempt to sing the melody. SST’s primary signal processing tasks are frequency identification, note segmentation, and matching
Rodger J. McNab, Lloyd A. Smith
openaire +2 more sources
Wearable Power Assistant Robot Sensor Signal Prediction Algorithm and Controller Design
The wearable power-assisted robot is a typical auxiliary rehabilitation robot. It is an exoskeleton power-assisted device that helps people to expand their lower limb movement capabilities.
Gang Li, Guoheng Ren
doaj +1 more source
Towards Goal-Oriented Semantic Signal Processing: Applications and Future Challenges [PDF]
Advances in machine learning technology have enabled real-time extraction of semantic information in signals which can revolutionize signal processing techniques and improve their performance significantly for the next generation of applications. With the objective of a concrete representation and efficient processing of the semantic information, we ...
arxiv +1 more source
Effects of the Simultaneous Application of Nonlinear Frequency Compression and Dichotic Hearing on the Speech Recognition of Severely Hearing-Impaired Subjects: Simulation Test [PDF]
ObjectivesThe clinical effects of the simultaneous application of nonlinear frequency compression and dichotic hearing on people with hearing impairments have not been evaluated previously.
Jong Ho Hwang+7 more
doaj +1 more source
Heart rate variability follow-up during COVID-19 -a case report- [PDF]
Background To detect an early increase in the inflammatory response might prove to be vital for mitigating the deleterious effects of the disease over time.
Alejandro Figar Gutiérrez+4 more
doaj +1 more source
Electrocardiogram Sampling Frequency Range Acceptable for Heart Rate Variability Analysis [PDF]
ObjectivesHeart rate variability (HRV) has gained recognition as a noninvasive marker of autonomic activity. HRV is considered a promising tool in various clinical scenarios.
Ohhwan Kwon+6 more
doaj +1 more source
Predictive ECG coding using linear time-invariant models [PDF]
Electrocardiogram (ECG) signal compression suffers of lack of standards for analogue-digital conversion. Results of this study have shown that 8 bits/sample, although frequently in use, does not satisfy quality criteria for medical doctors.
Bošković Aleksandar+2 more
doaj +1 more source