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Publication Tag: Healthcare

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2017
14 citations
Does the ability to express different emotions predict different indices of physical health ? A skill-based study of physical symptoms and heart rate variability
Tuck, Adams, Consedine
The study investigated whether the ability to regulate emotional expressions predicts physical health indices. A cross-sectional study with 117 adults assessed participants’ skills in enhancing and suppressing expressions of amusement, sadness, and anger. Findings revealed that greater ability to enhance sad expressions was associated with higher heart rate variability , while the ability to enhance expressions of joy correlated with lower symptom interference. Additionally, the capacity to flexibly regulate expressions of joy and sadness was linked to reduced symptom interference. These results suggest that expressive regulatory skills are relevant to health and may offer novel avenues for research and intervention.
2016
26 citations
The effect of savoury plants, fermented with lactic acid bacteria, on the microbiological contamination, quality, and acceptability of unripened curd cheese
Mozuriene, Bartkiene, Juodeikiene, et al
Five bacteriocin-producing lactic acid bacteria strains were selected to ferment Satureja montana L. and Rhaponticum carthamoides plants. The resulting bioproducts were incorporated into unripened curd cheese. LAB counts in these bioproducts ranged from 7.46 to 9.42 log10 CFU/g, varying with the LAB strain and plant species. Pediococcus pentosaceus KTU05-8 demonstrated adaptability in both plant media under submerged and solid-state fermentation. Fermentation of Sm and Rc with LAB significantly reduced mesophilic bacteria spores, enterobacteria, yeast, and fungi. Adding these bioproducts to curd cheese lowered pH, increased titratable acidity, enhanced volatile compounds , and improved cheese acceptability. Compared to non-fermented Sm, Lactobacillus sakei-fermented bioproducts reduced biogenic amine content in cheese.
2017
41 citations
Computerised analysis of facial emotion expression in eating disorders
Leppanen, Dapelo, Davies, Lang, Treasure, Tchanturia
Problems with social-emotional processing are known to be an important contributor to the development and maintenance of eating disorders . Diminished facial communication of emotion has been frequently reported in individuals with anorexia nervosa . Less is known about facial expressivity in bulimia nervosa and in people who have recovered from AN . This study aimed to pilot the use of computerised facial expression analysis software to investigate emotion expression across the ED spectrum and recovery in a large sample of participants. 297 participants with AN, BN, RecAN, and healthy controls were recruited. Participants watched film clips designed to elicit happy or sad emotions, and facial expressions were then analysed using FaceReader. The finding mirrored those from previous work showing that healthy control and RecAN participants expressed significantly more positive emotions during the positive clip compared to the AN group. There were no differences in emotion expression during the sad film clip. These findings support the use of computerised methods to analyse emotion expression in EDs. The findings also demonstrate that reduced positive emotion expression is likely to be associated with the acute stage of AN illness, with individuals with BN showing an intermediate profile.
2015
30 citations
Association between facial expression and PTSD symptoms among young children exposed to the Great East Japan Earthquake: a pilot study
Fujiwara
“Emotional numbing” is a symptom of post-traumatic stress disorder characterized by a loss of interest in usually enjoyable activities, feeling detached from others, and an inability to express a full range of emotions. Emotional numbing is usually assessed through self-report, and is particularly difficult to ascertain among young children. We conducted a pilot study to explore the use of facial expression ratings in response to a comedy video clip to assess emotional reactivity among preschool children directly exposed to the Great East Japan Earthquake. This study included 23 child participants. Child PTSD symptoms were measured using a modified version of the Parent’s Report of the Child’s Reaction to Stress scale. Children were filmed while watching a 2-min video compilation of natural scenes followed by a 2-min video clip from a television comedy . Children’s facial expressions were processed the using Noldus FaceReader software, which implements the Facial Action Coding System . We investigated the association between PTSD symptom scores and facial emotion reactivity using linear regression analysis. Children with higher PTSD symptom scores showed a significantly greater proportion of neutral facial expressions, controlling for sex, age, and baseline facial expression . This pilot study suggests that facial emotion reactivity, measured using facial expression recognition software, has the potential to index emotional numbing in young children. This pilot study adds to the emerging literature on using experimental psychopathology methods to characterize children’s reactions to disasters.
2013
54 citations
Computerized facial analysis for understanding constricted/ blunted affect: initial feasibility, reliability, and validity data
Cohen, Morrison, Callaway
This study explores the feasibility, reliability, and validity of using computerized facial analysis to assess constricted or blunted affect in individuals. The authors employed automated facial expression recognition technology to analyze facial movements and expressions, aiming to provide objective measures of affective flattening. The results indicate that this method is both reliable and valid, suggesting its potential utility in clinical settings for evaluating affective disorders.
2017
66 citations
The Effect of Parental Modeling on Child Pain Responses: The Role of Parent and Child Sex
Boerner, Christine, McGrath, LoLordo, Uher
Social modeling is a process by which pain behaviors are learned, and research has found parents act as models for their children’s behavior. Despite social learning theory predicting that same-sex models have greater effect, no experimental investigation to date has examined the role of sex of the model or observer in social learning of pediatric pain. The present study recruited 168 parent-child dyads in which children were generally healthy and 6 to 8 years old. Unbeknownst to their child, parents were randomly assigned to exaggerate their expression of pain, minimize their expression of pain, or act naturally during the cold pressor task . Parents completed the CPT while their child observed, then children completed the CPT themselves. Children whose parents were in the exaggerate condition reported higher anxiety than children of parents in the minimize condition. Additionally, girls in the exaggerate condition rated their overall pain intensity during the CPT significantly higher than boys in the same condition. No child sex differences were observed in pain intensity for the control or minimize conditions. Parent expressions of pain affects children’s anxiety, and sex-specific effects of parental exaggerated pain expression on children’s own subsequent pain experience are present. Perspective: This article describes how parental expressions of pain influence children’s pain and anxiety, specifically examining the relevance of parent and child sex in this process. These findings have implications for children of parents with chronic pain, or situations in which parents experience pain in the presence of their child .
2014
124 citations
Remote PPG based vital sign measurement using adaptive facial regions
H.E. Tasli, A. Gudi, M. den Uyl
This paper introduces a remote photoplethysmography technique that analyzes human skin color variations to monitor vital signs, such as average heart rate and its variability. Utilizing a non-invasive video camera, the method employs facial appearance modeling to stabilize color variations in selected facial regions during signal acquisition. A novel signal processing approach is presented to extract the periodic components of raw color signals for accurate heart rate estimation. The authors collected a ground truth dataset using a PPG instrument attached to the subject’s skin and demonstrated a strong correlation between the estimated heart rate and the ground truth values.
2019
36 citations
Efficient Real-Time Camera Based Estimation of Heart Rate and Its Variability
A. Gudi, M. Bittner, R. Lochmans and J. van Gemert
Remote photo-plethysmography utilizes a camera to estimate a person’s heart rate . Beyond HR, heart rate variability offers insights into physiological and psychological conditions by measuring fluctuations between heartbeats. Accurate HRV assessment requires precise heartbeat timing. This paper introduces an efficient real-time rPPG pipeline featuring novel filtering and motion suppression techniques that enhance HR estimation accuracy and extract pulse waveforms for HRV measurement. The method operates in real-time without the need for rPPG-specific training. Validation on a self-recorded dataset under ideal lab conditions and two public datasets with realistic scenarios demonstrates state-of-the-art performance.
2020
45 citations
Real-Time Webcam Heart-Rate and Variability Estimation with Clean Ground Truth for Evaluation
A. Gudi, M. Bittner and J. van Gemert
Remote photo-plethysmography enables heart rate estimation using a camera by detecting skin reflectance changes associated with blood volume variations. Beyond HR, heart rate variability —the fine fluctuations between heartbeats—offers insights into physiological and psychological states but requires precise heartbeat timing. This study introduces an efficient, real-time rPPG pipeline with novel filtering and motion suppression techniques that not only estimate HR but also extract pulse waveforms to accurately time heartbeats and measure HRV. The unsupervised method operates in real-time without rPPG-specific training. Additionally, the authors present VicarPPG 2, a new multi-modal video dataset designed to evaluate rPPG algorithms for HR and HRV estimation. The method is validated across various conditions using a comprehensive range of public and self-recorded datasets, demonstrating state-of-the-art results and providing insights into unique aspects of rPPG analysis. Furthermore, CleanerPPG, a collection of human-verified ground truth peak/heartbeat annotations for existing rPPG datasets, is introduced to enhance the accuracy, standardization, and fairness of future rPPG algorithm evaluations.

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