scholarly journals Robust detrending, rereferencing, outlier detection, and inpainting for multichannel data

2017 ◽  
Author(s):  
Alain de Cheveigné ◽  
Dorothée Arzounian
Keyword(s):  
Outlier Detection ◽  
Synthetic Data ◽  
High Amplitude ◽  
Artifact Removal ◽  
Slow Drift ◽  
Multichannel Data ◽  
Ringing Artifact ◽  
Alternative Approaches ◽  
The Impact

AbstractElectroencephalography (EEG), magnetoencephalography (MEG) and related techniques are prone to glitches, slow drift, steps, etc., that contaminate the data and interfere with the analysis and interpretation. These artifacts are usually addressed in a preprocessing phase that attempts to remove them or minimize their impact. This paper offers a set of useful techniques for this purpose: robust detrending, robust rereferencing, outlier detection, data interpolation (inpainting), step removal, and filter ringing artifact removal. These techniques provide a less wasteful alternative to discarding corrupted trials or channels, and they are relatively immune to artifacts that disrupt alternative approaches such as filtering. Robust detrending allows slow drifts and common mode signals to be factored out while avoiding the deleterious effects of glitches. Robust rereferencing reduces the impact of artifacts on the reference. Inpainting allows corrupt data to be interpolated from intact parts based on the correlation structure estimated over the intact parts. Outlier detection allows the corrupt parts to be identified. Step removal fixes the high-amplitude flux jump artifacts that are common with some MEG systems. Ringing removal allows the ringing response of the antialiasing filter to glitches (steps, pulses) to be suppressed. The performance of the methods is illustrated and evaluated using synthetic data and data from real EEG and MEG systems. These methods, which are are mainly automatic and require little tuning, can greatly improve the quality of the data.

scholarly journals Benchmarking Unsupervised Outlier Detection with Realistic Synthetic Data

2021 ◽  
Vol 15 (4) ◽  
pp. 1-20
Author(s):  
Georg Steinbuss ◽  
Klemens Böhm
Keyword(s):  
Outlier Detection ◽  
Synthetic Data ◽  
Real Data ◽  
Detection Methods ◽  
Quality Of Data ◽  
Benchmark Data ◽  
Core Idea ◽  
Generic Process ◽  
Unsupervised Outlier Detection

Benchmarking unsupervised outlier detection is difficult. Outliers are rare, and existing benchmark data contains outliers with various and unknown characteristics. Fully synthetic data usually consists of outliers and regular instances with clear characteristics and thus allows for a more meaningful evaluation of detection methods in principle. Nonetheless, there have only been few attempts to include synthetic data in benchmarks for outlier detection. This might be due to the imprecise notion of outliers or to the difficulty to arrive at a good coverage of different domains with synthetic data. In this work, we propose a generic process for the generation of datasets for such benchmarking. The core idea is to reconstruct regular instances from existing real-world benchmark data while generating outliers so that they exhibit insightful characteristics. We propose and describe a generic process for the benchmarking of unsupervised outlier detection, as sketched so far. We then describe three instantiations of this generic process that generate outliers with specific characteristics, like local outliers. To validate our process, we perform a benchmark with state-of-the-art detection methods and carry out experiments to study the quality of data reconstructed in this way. Next to showcasing the workflow, this confirms the usefulness of our proposed process. In particular, our process yields regular instances close to the ones from real data. Summing up, we propose and validate a new and practical process for the benchmarking of unsupervised outlier detection.

scholarly journals Stay Home—The Impact of Social Distancing in Families during COVID-19 Lockdown: The Case of Cyprus

2021 ◽  
Vol 10 (10) ◽  
pp. 354
Author(s):  
Gregory Neocleous
Keyword(s):  
Life Events ◽  
Family Environment ◽  
Family Relations ◽  
Economic Factors ◽  
Social Distancing ◽  
Alternative Approaches ◽  
Impact On Family ◽  
The Impact ◽  
Usual Pattern

Everyone has experiences that make them feel upset, disappointed, or fatigued. When these types of feelings are combined with certain life events or situations, such as the current COVID-19 pandemic and lockdowns, they often lead to mounting tension and stress. A crisis is a disruption or breakdown in a person’s or a family’s normal or usual pattern of functioning. The aims and objectives of this study are to explore how lockdown and social distancing had an impact on family relations in Cyprus and to what extent affected stress level of participants. By examining the impact of social distancing among adults 18 and older (N = 160), valuable conclusions were extracted. Therefore, the purpose of the study is to strengthen the idea of using alternative approaches in social preventions and/or interventions in crisis in order to deal with stress. The study argues that the disruption of usual patterns of functioning, in addition to other psychosocial and economic factors, diminishes the quality of life, resulting in tension and stress in a family environment. On the other hand, findings from the current study indicate an enhancement of relationships in challenging times, such as the COVID-19 pandemic.

Self-Compassion and Quality of Life in Adults Who Stutter

2020 ◽  
Vol 29 (4) ◽  
pp. 2097-2108
Author(s):  
Robyn L. Croft ◽  
Courtney T. Byrd
Keyword(s):  
Quality Of Life ◽  
Social Connectedness ◽  
The Self ◽  
Future Research ◽  
Self Compassion ◽  
Adults Who Stutter ◽  
And Gender ◽  
Relationship Of ◽  
The Impact

Purpose The purpose of this study was to identify levels of self-compassion in adults who do and do not stutter and to determine whether self-compassion predicts the impact of stuttering on quality of life in adults who stutter. Method Participants included 140 adults who do and do not stutter matched for age and gender. All participants completed the Self-Compassion Scale. Adults who stutter also completed the Overall Assessment of the Speaker's Experience of Stuttering. Data were analyzed for self-compassion differences between and within adults who do and do not stutter and to predict self-compassion on quality of life in adults who stutter. Results Adults who do and do not stutter exhibited no significant differences in total self-compassion, regardless of participant gender. A simple linear regression of the total self-compassion score and total Overall Assessment of the Speaker's Experience of Stuttering score showed a significant, negative linear relationship of self-compassion predicting the impact of stuttering on quality of life. Conclusions Data suggest that higher levels of self-kindness, mindfulness, and social connectedness (i.e., self-compassion) are related to reduced negative reactions to stuttering, an increased participation in daily communication situations, and an improved overall quality of life. Future research should replicate current findings and identify moderators of the self-compassion–quality of life relationship.

Surgery for Lung Cancer and the Consequences for the Swallow

2016 ◽  
Vol 1 (13) ◽  
pp. 162-168
Author(s):  
Pippa Hales ◽  
Corinne Mossey-Gaston
Keyword(s):  
Lung Cancer ◽  
Treatment Options ◽  
Vocal Cord Palsy ◽  
Subsequent Treatment ◽  
Physiological Reserve ◽  
Palliative Phase ◽  
And Function ◽  
The Impact ◽  
Swallow Function

Lung cancer is one of the most commonly diagnosed cancers across Northern America and Europe. Treatment options offered are dependent on the type of cancer, the location of the tumor, the staging, and the overall health of the person. When surgery for lung cancer is offered, difficulty swallowing is a potential complication that can have several influencing factors. Surgical interaction with the recurrent laryngeal nerve (RLN) can lead to unilateral vocal cord palsy, altering swallow function and safety. Understanding whether the RLN has been preserved, damaged, or sacrificed is integral to understanding the effect on the swallow and the subsequent treatment options available. There is also the risk of post-surgical reduction of physiological reserve, which can reduce the strength and function of the swallow in addition to any surgery specific complications. As lung cancer has a limited prognosis, the clinician must also factor in the palliative phase, as this can further increase the burden of an already compromised swallow. By understanding the surgery and the implications this may have for the swallow, there is the potential to reduce the impact of post-surgical complications and so improve quality of life (QOL) for people with lung cancer.

Health and Quality of Life in PTSD: What is the Impact of Co-Occurring Depression?

2008 ◽  
Author(s):  
Jennifer S. Fabritius ◽  
Lisa S. Doane ◽  
Aileen M. Echiverri ◽  
Shoshana Y. Kahana ◽  
Joshua D. McDavid ◽  
...  
Keyword(s):  
Quality Of Life ◽  
The Impact

What is the impact of depressive and anxious symptoms on quality of life in veterans with heart failure?

2010 ◽  
Author(s):  
J. A. Cully ◽  
L. L. Phillips ◽  
M. E. Kunik ◽  
M. A. Stanley ◽  
A. Deswal
Keyword(s):  
Quality Of Life ◽  
Heart Failure ◽  
The Impact
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