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AN ANALYSIS OF TWO COMMON REFERENCE POINTS FOR EEGS.

ABSTRACT: Clinical electroencephalographic (EEG) data varies significantly depending on a number of operational conditions (e.g., the type and placement of electrodes, the type of electrical grounding used). This investigation explores the statistical differences present in two different referential montages: Linked Ear (LE) and Averaged Reference (AR). Each of these accounts for approximately 45% of the data in the TUH EEG Corpus. In this study, we explore the impact this variability has on machine learning performance. We compare the statistical properties of features generated using these two montages, and explore the impact of performance on our standard Hidden Markov Model (HMM) based classification system. We show that a system trained on LE data significantly outperforms one trained only on AR data (77.2% vs. 61.4%). We also demonstrate that performance of a system trained on both data sets is somewhat compromised (71.4% vs. 77.2%). A statistical analysis of the data suggests that mean, variance and channel normalization should be considered. However, cepstral mean subtraction failed to produce an improvement in performance, suggesting that the impact of these statistical differences is subtler.

SUBMITTER: Lopez S

PROVIDER: S-EPMC5479869 | biostudies-literature | 2016 Dec

REPOSITORIES: biostudies-literature

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AN ANALYSIS OF TWO COMMON REFERENCE POINTS FOR EEGS.

López S S Gross A A Yang S S Golmohammadi M M Obeid I I Picone J J

... IEEE Signal Processing in Medicine and Biology Symposium (SPMB). IEEE Signal Processing in Medicine and Biology Symposium 20161201

Clinical electroencephalographic (EEG) data varies significantly depending on a number of operational conditions (e.g., the type and placement of electrodes, the type of electrical grounding used). This investigation explores the statistical differences present in two different referential montages: Linked Ear (LE) and Averaged Reference (AR). Each of these accounts for approximately 45% of the data in the TUH EEG Corpus. In this study, we explore the impact this variability has on machine learn ...[more]

PMID: 28649598

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Project description:Hybrid vigour, or heterosis, has been of tremendous importance in agriculture for the improvement of both crops and livestock. Notwithstanding large efforts to study the phenomenon of heterosis in the last decades, the identification of common molecular mechanisms underlying hybrid vigour remain rare. Here, we conducted a systematic survey of the degree of heterosis in Arabidopsis thaliana hybrids. For this purpose, two overlapping Arabidopsis hybrid populations were generated by crossing a large collection of naturally occurring accessions to two common reference lines. In these Arabidopsis hybrid populations the range of heterosis for several developmental and yield related traits was examined, and the relationship between them was studied. The traits under study were projected leaf area at 17 days after sowing, flowering time, height of the main inflorescence, number of side branches from the main stem or from the rosette base, total seed yield, seed weight, seed size and the estimated number of seeds per plant. Predominantly positive heterosis was observed for leaf area and height of the main inflorescence, whereas mainly negative heterosis was observed for rosette branching. For the other traits both positive and negative heterosis was observed in roughly equal amounts. For flowering time and seed size only low levels of heterosis were detected. In general the observed heterosis levels were highly trait specific. Furthermore, no correlation was observed between heterosis levels and the genetic distance between the parental lines. Since all selected lines were a part of the Arabidopsis genome wide association (GWA) mapping panel, a genetic mapping approach was applied to identify possible regions harbouring genetic factors causal for heterosis, with separate calculations for additive and dominance effects. Our study showed that the genetic mechanisms underlying heterosis were highly trait specific in our hybrid populations and greatly depended on the genetic background, confirming the elusive character of heterosis.

Project description:PurposeTo determine how well the orthopaedic sports medicine literature reported sex-specific analysis (SSA) in 2011 and 2016.MethodsThe 3 highest-impact orthopaedic sports medicine subspecialty journals (American Journal of Sports Medicine; Arthroscopy; and Knee Surgery, Sports Traumatology, Arthroscopy) were selected for review. Two independent investigators reviewed all journal issues published during 2 different calendar years (2011 and 2016). All randomized controlled, prospective and retrospective group, and case-control studies were included. Studies were stratified into those that involved SSA, where sex was a variable in a multifactorial statistical model, and those that only reported sex as a demographic characteristic or used sex-matched groups without further analysis.ResultsA total of 960 studies evaluating 3,400,569 patients met criteria and were included in this review. Although 44.4% of the overall study population was female, only 293 (30.5%) studies included patient sex as variable in a multifactorial statistical model. The proportion of studies that performed SSA did not differ between 2011 (29.6%) and 2016 (31.1%; P = .607), although publications from American Journal of Sports Medicine were likely to report SSA (P < .05). Of the 293 studies that reported SSA, 91 (31%) demonstrated a significant difference in outcomes. The most commonly reported differences were in outcomes following anterior cruciate ligament, medial patellofemoral ligament, and posterior cruciate ligament reconstruction; autograft preparation; postoperative use of opiates following arthroscopy; and recovery after sports-related concussions.ConclusionsAlthough most sports medicine studies include approximately 50% female and 50% male patients, statistical analysis differentiating the 2 subsets is not routinely performed. Only 30.5% of all studies performed SSA, 31% of which reported a statistically significant difference in the data when comparing outcomes between male and female patients with the same treatment modalities.Clinical relevanceThe current study demonstrates that the orthopaedic sports medicine subspecialty literature is lacking in reporting SSA, and that there has been minimal improvement over a 5-year time period. In addition, this study highlights the high percentage of significant findings within the studies that performed SSA and underscores the differences in sex-specific injury patterns and treatment outcomes.

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AN ANALYSIS OF TWO COMMON REFERENCE POINTS FOR EEGS.

Publications

AN ANALYSIS OF TWO COMMON REFERENCE POINTS FOR EEGS.

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