[HTML][HTML] Ambient assisted living: scoping review of artificial intelligence models, domains, technology, and concerns

M Jovanovic, G Mitrov, E Zdravevski, P Lameski… - Journal of Medical …, 2022 - jmir.org
Background Ambient assisted living (AAL) is a common name for various artificial
intelligence (AI)—infused applications and platforms that support their users in need in …

Listening to life: Sonification for enhancing discovery in biological research

R Braun, M Tfirn, RM Ford - Biotechnology and Bioengineering, 2024 - Wiley Online Library
Sonification, or the practice of generating sound from data, is a promising alternative or
complement to data visualization for exploring research questions in the life sciences …

Short-term enhancement of cognitive functions and music: A three-channel model

A Gupta, B Bhushan, L Behera - Scientific reports, 2018 - nature.com
Short-term effects of music stimulus on enhancement of cognitive functions in human brain
are documented, however the underlying neural mechanisms in these cognitive effects are …

Music of brain and music on brain: a novel EEG sonification approach

S Sanyal, S Nag, A Banerjee, R Sengupta… - Cognitive …, 2019 - Springer
Can we hear the sound of our brain? Is there any technique which can enable us to hear the
neuro-electrical impulses originating from the different lobes of brain? The answer to all …

A multi scale time–frequency analysis on electroencephalogram signals

M Pal, P Manimaran, PK Panigrahi - Physica A: Statistical Mechanics and …, 2022 - Elsevier
It is well known, the Electroencephalogram (EEG) signals are non-stationary signals which
helps us in understanding the complex brain dynamics, cognitive processes, etc. In this …

[Retracted] Construction of a Multimodal Neuroimaging Data Fusion System and Evaluation of Mental Fatigue Using Nonlinear Analysis

R Chen, Z Li, Y Lai - Complexity, 2021 - Wiley Online Library
The purpose of this research is to explore the optimization and fusion application of
multimodal neuroimaging technology and analyze the evaluation method of human brain …

Personalised network modelling in epilepsy

Y Wang, GM Schroeder, N Sinha, PN Taylor - arXiv preprint arXiv …, 2019 - arxiv.org
Epilepsy is a disorder characterised by spontaneous, recurrent seizures. Both local and
network abnormalities have been associated with epilepsy, and the exact processes …

[PDF][PDF] A multi scale time-frequency view of epilepsy from human EEG signals reveals characteristic features of seizure

PK Panigrahi - researchgate.net
We identify the key differences between healthy and epilepsy seizure EEG signals' low
frequency periodic modulations and transient time varying patterns, through Morlet wavelet …