Automatic SCSB analysis of motor and autonomic nervous activity in infants compared to EEG-based sleep stages
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Neural phoneme discrimination in variable speech in newborns : Associations with dyslexia risk and later language skills
Virtala, P.; Kujala, T.; Partanen, E.; Hämäläinen, J. A.; Winkler, I. (Elsevier BV, 2023)A crucial skill in infant language acquisition is learning of the native language phonemes. This requires the ability to group complex sounds into distinct auditory categories based on their shared features. Problems in ... -
Cortical networks show characteristic recruitment patterns after somatosensory stimulation by pneumatically evoked repetitive hand movements in newborn infants
Ahtola, Eero; Leikos, Susanna; Tuiskula, Anna; Haataja, Leena; Smeds, Eero; Piitulainen, Harri; Jousmäki, Veikko; Tokariev, Anton; Vanhatalo, Sampsa (Oxford University Press (OUP), 2023)Controlled assessment of functional cortical networks is an unmet need in the clinical research of noncooperative subjects, such as infants. We developed an automated, pneumatic stimulation method to actuate naturalistic ... -
Multivariate Independent Component Analysis Identifies Patients in Newborn Screening Equally to Adjusted Reference Ranges
Kouři,l Štěpán; de Sousa, Julie; Fačevicová Kamila; Gardlo, Alžběta; Muehlmann, Christoph; Nordhausen, Klaus; Friedecký, David; Adam, Tomáš (MDPI, 2023)Newborn screening (NBS) of inborn errors of metabolism (IEMs) is based on the reference ranges established on a healthy newborn population using quantile statistics of molar concentrations of biomarkers and their ratios. ... -
Multi-modality of polysomnography signals’ fusion for automatic sleep scoring
Yan, Rui; Zhang, Chi; Spruyt, Karen; Wei, Lai; Wang, Zhiqiang; Tian, Lili; Li, Xueqiao; Ristaniemi, Tapani; Zhang, Jihui; Cong, Fengyu (Elsevier BV, 2019)Objective: The study aims to develop an automatic sleep scoring method by fusing different polysomnography (PSG) signals and further to investigate PSG signals’ contribution to the scoring result. Methods: Eight combinations ... -
A Deep Learning Model for Automatic Sleep Scoring using Multimodality Time Series
Yan, Rui; Li, Fan; Zhou, DongDong; Ristaniemi, Tapani; Cong, Fengyu (IEEE, 2020)Sleep scoring is a fundamental but time-consuming process in any sleep laboratory. Automatic sleep scoring is crucial and urgent to help address the increasing unmet need for sleep research. Therefore, this paper aims to ...
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