Evaluating the impacts of color, graphics, and architectural features on wayfinding in healthcare settings using EEG data and virtual response testing

2021 ◽  
pp. 101744
Author(s):  
Saleh Kalantari ◽  
Vidushi Tripathi ◽  
Julia Kan ◽  
James D. Rounds ◽  
Armin Mostafavi ◽  
...  
Keyword(s):  
Healthcare Settings ◽  
Architectural Features ◽  
Eeg Data ◽  
Response Testing

scholarly journals Evaluating Wayfinding Designs in Healthcare Settings through EEG Data and Virtual Response Testing

2021 ◽  
Author(s):  
Saleh Kalantari ◽  
Vidushi Tripathi ◽  
James D. Rounds ◽  
Armin Mostafavi ◽  
Robin Snell ◽  
...  
Keyword(s):  
Interior Design ◽  
Occipital Cortex ◽  
Design Strategies ◽  
Beta Band ◽  
Healthcare Facilities ◽  
Testing Platform ◽  
Hospital Design ◽  
Healthcare Settings ◽  
Unique Nature ◽  
Response Testing

ABSTRACTWayfinding difficulties in healthcare facilities have been shown to increase anxiety among patients and visitors and reduce staff operational efficiency. Wayfinding-oriented interior design features have proven beneficial, but the evaluation of their performance is hindered by the unique nature healthcare facilities and the expense of testing different navigational aids. This study implemented a virtual-reality testing platform to evaluate the effects of different signage and interior hospital design conditions during navigational tasks; evaluated through behavioral responses and mobile EEG. The results indicated that using color to highlight destinations and increase the contrast of wayfinding information yielded significant benefits when combined with wayfinding-oriented environmental affordances. Neural dynamics from the occipital cortex showed beta-band desynchronization with enhanced color condition and additional theta-band desynchronization with enhanced environmental affordance. This multimodal testing platform has the potential to establish a robust body of evidence for future wayfinding design strategies.

Outcomes: Promoting Reflective Practice Using Performance Indicator Questionnaires

2010 ◽  
Vol 20 (2) ◽  
pp. 64-70 ◽  
Author(s):  
Mary Pat McCarthy
Keyword(s):  
Clinical Education ◽  
Performance Indicator ◽  
Clinical Skills ◽  
Self Assessment ◽  
Clinical Practicum ◽  
Self Reflection ◽  
Healthcare Settings ◽  
Language Pathology ◽  
Traditional Performance ◽  
The University

This article details the process of self-reflection applied to the use of traditional performance indicator questionnaires. The study followed eight speech-language pathology graduate students enrolled in clinical practicum in the university, school, and healthcare settings over a period of two semesters. Results indicated when reflection was focused on students' own clinical skills, modifications to practice were implemented. Results further concluded self-assessment using performance indicators paired with written reflections can be a viable form of instruction in clinical education.

The Relation Between Aerobic Fitness and Cognitive Performance

2016 ◽  
Vol 30 (3) ◽  
pp. 102-113 ◽  
Author(s):  
Chun-Hao Wang ◽  
Chun-Ming Shih ◽  
Chia-Liang Tsai
Keyword(s):  
Cognitive Performance ◽  
Aerobic Fitness ◽  
Reaction Times ◽  
Mediation Model ◽  
Brain Potentials ◽  
Fitness Level ◽  
Eeg Data ◽  
Attention Performance ◽  
P3 Amplitude ◽  
The Relationship

Abstract. This study aimed to assess whether brain potentials have significant influences on the relationship between aerobic fitness and cognition. Behavioral and electroencephalographic (EEG) data was collected from 48 young adults when performing a Posner task. Higher aerobic fitness is related to faster reaction times (RTs) along with greater P3 amplitude and shorter P3 latency in the valid trials, after controlling for age and body mass index. Moreover, RTs were selectively related to P3 amplitude rather than P3 latency. Specifically, the bootstrap-based mediation model indicates that P3 amplitude mediates the relationship between fitness level and attention performance. Possible explanations regarding the relationships among aerobic fitness, cognitive performance, and brain potentials are discussed.

Analysis of the Multi-Channel Epileptiform EEG Using the Markov Chains Formalism

1989 ◽  
Vol 28 (03) ◽  
pp. 160-167 ◽  
Author(s):  
P. Penczek ◽  
W. Grochulski
Keyword(s):  
Dynamic Behaviour ◽  
Joint Probability ◽  
Drug Effects ◽  
Anticonvulsant Drug ◽  
Channel System ◽  
Markov Network ◽  
Eeg Data ◽  
Multi Level ◽  
Joint Probability Functions ◽  
Dependent State

Abstract:A multi-level scheme of syntactic reduction of the epileptiform EEG data is briefly discussed and the possibilities it opens up in describing the dynamic behaviour of a multi-channel system are indicated. A new algorithm for the inference of a Markov network from finite sets of sample symbol strings is introduced. Formulae for the time-dependent state occupation probabilities, as well as joint probability functions for pairs of channels, are given. An exemplary case of analysis in these terms, taken from an investigation of anticonvulsant drug effects on EEG seizure patterns, is presented.

Machine Learning Verdict of EEG Signals in Brain Computer Interface

2018 ◽  
pp. 429-441
Author(s):  
M. Jeyanthi ◽  
C. Velayutham
Keyword(s):  
Nearest Neighbor ◽  
Technology Development ◽  
Vital Role ◽  
Svm Classifier ◽  
K Nearest Neighbor ◽  
Data Mining Technique ◽  
Data Set ◽  
Eeg Data ◽  
Irrelevant Attributes

In Science and Technology Development BCI plays a vital role in the field of Research. Classification is a data mining technique used to predict group membership for data instances. Analyses of BCI data are challenging because feature extraction and classification of these data are more difficult as compared with those applied to raw data. In this paper, We extracted features using statistical Haralick features from the raw EEG data . Then the features are Normalized, Binning is used to improve the accuracy of the predictive models by reducing noise and eliminate some irrelevant attributes and then the classification is performed using different classification techniques such as Naïve Bayes, k-nearest neighbor classifier, SVM classifier using BCI dataset. Finally we propose the SVM classification algorithm for the BCI data set.

Formulating another’s report of troubles in peer support

2020 ◽  
Vol 16 (1) ◽  
Author(s):  
Christopher Pudlinski
Keyword(s):  
Mental Health ◽  
United States ◽  
Community Mental Health ◽  
Conversation Analysis ◽  
Peer Support ◽  
Mental Health System ◽  
The United States ◽  
Telephone Support ◽  
Healthcare Settings ◽  
Professional Perspective

This study stems from an interest in peer support talk, an underexplored area of research, and in how supportive actions such as formulated summaries function in comparison to more professional healthcare settings. Using conversation analysis, this study explores 35 instances of formulations within 65 calls to four different ‘warm lines’, a term for peer-to-peer telephone support within the community mental health system in the United States. Formulations can be characterized across two related axes: client versus professional perspective, and directive versus nondirective. The findings show that formulations within peer support were overwhelmingly nondirective, in terms of meeting institutional agendas to let callers talk. However, formulations ranged from client-oriented ones that highlight or repeat caller reports to those which transform caller reports through integrating past caller experiences or implicit caller emotions. These tactics are found to have similarities to how formulations function in professional healthcare settings.

EXPLORING HEALTHCARE ARCHITECTURE THROUGH THE MEDIUM OF FILM: Motives and Techniques

2014 ◽  
Vol 8 (1) ◽  
pp. 29
Author(s):  
Stephen Verderber
Keyword(s):  
Real World ◽  
The Real ◽  
Healthcare Settings ◽  
Interdisciplinary Field ◽  
Body Of Knowledge ◽  
Behavior Setting ◽  
Physical Environments ◽  
Scant Attention ◽  
History Of

The interdisciplinary field of person-environment relations has, from its origins, addressed the transactional relationship between human behavior and the built environment. This body of knowledge has been based upon qualitative and quantitative assessment of phenomena in the “real world.” This knowledge base has been instrumental in advancing the quality of real, physical environments globally at various scales of inquiry and with myriad user/client constituencies. By contrast, scant attention has been devoted to using simulation as a means to examine and represent person-environment transactions and how what is learned can be applied. The present discussion posits that press-competency theory, with related aspects drawn from functionalist-evolutionary theory, can together function to help us learn of how the medium of film can yield further insights to person-environment (P-E) transactions in the real world. Sampling, combined with extemporary behavior setting analysis, provide the basis for this analysis of healthcare settings as expressed throughout the history of cinema. This method can be of significant aid in examining P-E transactions across diverse historical periods, building types and places, healthcare and otherwise, otherwise logistically, geographically, or temporally unattainable in real time and space.

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