METHODS: We developed a hybrid algorithm that combines features of empirical mode decomposition (EMD) with principal component analysis (PCA) to reduce the BCG artefact. The algorithm does not require extra electrocardiogram (ECG) or electrooculogram (EOG) recordings to extract the BCG artefact.

RESULTS: The method was tested with both simulated and real EEG data of 11 participants. From the simulated data, the similarity index between the extracted BCG and the simulated BCG showed the effectiveness of the proposed method in BCG removal. On the other hand, real data were recorded with two conditions, i.e. resting state (eyes closed dataset) and task influenced (event-related potentials (ERPs) dataset). Using qualitative (visual inspection) and quantitative (similarity index, improved normalized power spectrum (INPS) ratio, power spectrum, sample entropy (SE)) evaluation parameters, the assessment results showed that the proposed method can efficiently reduce the BCG artefact while preserving the neuronal signals.

COMPARISON WITH EXISTING METHODS: Compared with conventional methods, namely, average artefact subtraction (AAS), optimal basis set (OBS) and combined independent component analysis and principal component analysis (ICA-PCA), the statistical analyses of the results showed that the proposed method has better performance, and the differences were significant for all quantitative parameters except for the power and sample entropy.

METHODS: This was a post-hoc analysis of the Cognitive Dysfunction in Asian patients with Depression (CogDAD) study. Descriptive statistics were used to describe the most common cognitive complaints by patients. Univariate and multivariate analyses were performed to determine variables associated with perceived cognitive dysfunction (Perceived Deficit Questionnaire-Depression, PDQ-D).

METHODS: Twenty-nine children in each group, matched for age, sex and ethnicity, were assessed using the Glasgow outcome Scale (GOS), Weschler Intelligence Scale for Children (WISC-III), Movement Assessment Battery for Children (Movement ABC), Wide Range Assessment of Learning and Memory (WRAML) and a standardised neurological examination 6 months post-injury. Parental reporting of pre- and post-injury behaviour was documented using the Child Behaviour Checklist (CBCL).

RESULTS: Seven (24.1%) children with sCHI and three (10.3%) orthopaedic controls had residual motor deficits. Three (10.3%) children with sCHI and none in the other groups faced problems with independent ambulation. Twenty-seven (93.1%) of those with sCHI and all children in the other groups had GOS scores of good recovery or moderate disability. Twenty-two (81.5%) sCHI, five (18.5%) mCHI and one (3.7%) orthopaedic control reported a deterioration in school performance. MANOVAS identified a significant injury group effect for performance skills (P = 0.007), verbal skills (P = 0.002), memory and learning (P = 0.001) and motor skills (P = 0.001). Repeated measures ANOVA for pre- and post-injury CBCL scores showed significant differences related to somatic complaints (P = 0.004), problems of socialising (P = 0.003), delinquency (P = 0.004), aggressiveness (P = 0.010), thought (P < 0.001) and attention (P < 0.001). Post-hoc univariate analysis showed the significant differences were between that of the sCHI children and the other two groups.

METHODS: Data for this study, consisting of 2202 older adults aged 60 years and above, were taken from a population-based survey entitled "Identifying Psychosocial and Identifying Economic Risk Factor of Cognitive Impairment among Elderly. Data analysis was conducted using the IBM SPSS Version 23.0.