Quantifying cognitive aging and performance with at-home gamified mobile EEG

Author(s):  
Brian Murphy ◽  
Andrea Aleni ◽  
Brahim Belaoucha ◽  
John Dyer ◽  
Hugh Nolan
2021 ◽  
Vol 12 (1) ◽  
pp. 11-28 ◽  
Author(s):  
Nevarez Encinias

Written under a pandemic stay-at-home order, this article conceives of flamenco choreography and performance as an artisanal craft, likening several of the tradition’s practices to the act of making a coffee. Drawing upon historical descriptions of the art form, theoretical debates from the postmodern shift in dance-making and personal anecdote, the article scrutinizes the notion of ‘self-expression’ and confronts flamenco’s enduring reputation as a dance of extravagant emotion, passion, spontaneity and authenticity. The article experiments with experiential and poetic modes of address to ruminate broadly on artisanship as a creative model for dance-makers, and proposes an interdisciplinary frame-of-mind for choreographers, from a time when traditional live performance was on pause.


2021 ◽  
Vol 10 (1) ◽  
pp. 77-88
Author(s):  
Sachin Pandurang Godse ◽  
Shalini Singh ◽  
Sonal Khule ◽  
Shubham Chandrakant Wakhare ◽  
Vedant Yadav

Physiotherapy is the trending medication for curing bone-related injuries and pain. In many cases, due to sudden jerks or accidents, the patient might suffer from severe pain. Therefore, it is the miracle medication for curing patients. The aim here is to build a framework using artificial intelligence and machine learning for providing patients with a digitalized system for physiotherapy. Even though various computer-aided assessment of physiotherapy rehabilitation exist, recent approaches for computer-aided monitoring and performance lack versatility and robustness. In the authors' approach is to come up with proposition of an application which will record patient physiotherapy exercises and also provide personalized advice based on user performance for refinement of therapy. By using OpenPose Library, the system will detect angle between the joints, and depending upon the range of motion, it will guide patients in accomplishing physiotherapy at home. It will also suggest to patients different physio-exercises. With the help of OpenPose, it is possible to render patient images or real-time video.


2022 ◽  
Author(s):  
Michael Grandner ◽  
Zohar Bromberg ◽  
Zoe Morrell ◽  
Arnulf Graf ◽  
Stephen Hutchinson ◽  
...  

Study Objectives: Wearable sleep technology has rapidly expanded across the consumer market due to advances in technology and increased interest in personalized sleep assessment to improve health and performance. In this study, we tested the performance of a novel device, alongside other commercial wearables, against in-lab and at-home polysomnography (PSG). Methods: 36 healthy adults were assessed across 77 nights while wearing the Happy Ring, as well as the Actiwatch, Fitbit, Whoop, and Oura Ring devices. Subjects participated in a single night of in-lab PSG and 2 nights of at-home PSG. The Happy Ring includes sensors for skin conductance, movement, heart rate, and skin temperature. Epoch-by-epoch analyses compared the wearable de-vices to both in-lab and at-home PSG. The Happy Ring utilized two machine-learning derived scor-ing algorithms: a generalized algorithm that applied broadly to all users, and a personalized algorithm that adapted to the data of individual subjects. Results: Compared to in-lab PSG, the generalized and personalized algorithms demonstrated good sensitivity (94% and 93%, respectively) and specificity (70% and 83%, respectively). The other wearable devices also demonstrated good sensitivity (89%-94%) but lower specificity (19%-54%), relative to the Happy Ring. Accuracy was 91% for generalized and 92% for personalized algorithms, compared to other devices that ranged from 84%-88%. The generalized algorithm demonstrated an accuracy of 67%, 85%, and 85% for light, deep, and REM sleep, respectively. The personalized algorithm was 81%, 95%, and 92% accurate for light, deep, and REM sleep, re-spectively. Conclusions: The Happy Ring performed well at home and in the lab, especially regarding sleep-wake detection. The personalized algorithm demonstrated improved detection accuracy over the generalized approach and other devices, suggesting that adaptable, dynamic algorithms can enhance sleep detection accuracy.


Author(s):  
N.H. Stricker ◽  
E.S. Lundt ◽  
E.C. Alden ◽  
S.M. Albertson ◽  
M.M. Machulda ◽  
...  

Background: The Cogstate Brief Battery (CBB) is a computerized cognitive assessment that can be completed in clinic or at home. Design/Objective: This retrospective study investigated whether practice effects / performance trajectories of the CBB differ by location of administration. Participants/Setting: Participants included 1439 cognitively unimpaired individuals age 50-75 at baseline participating in the Mayo Clinic Study of Aging (MCSA), a population-based study of cognitive aging. Sixty three percent of participants completed the CBB in clinic only and 37% completed CBB both in clinic and at home. Measurements: The CBB consists of four subtests: Detection, Identification, One Card Learning, and One Back. Linear mixed effects models were used to evaluate performance trajectories in clinic and at home. Results: Results demonstrated significant practice effects between sessions 1 to 2 for most CBB measures. Practice effects continued over subsequent testing sessions, to a lesser degree. Average practice effects/trajectories were similar for each location (home vs. clinic). One Card Learning and One Back accuracy performances were lower at home than in clinic, and this difference was large in magnitude for One Card Learning accuracy. Participants performed faster at home on Detection reaction time, although this difference was small in magnitude. Conclusions: Results suggest the location where the CBB is completed has an important impact on performance, particularly for One Card Learning accuracy, and there are practice effects across repeated sessions that are similar regardless of where testing is completed.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S214-S214
Author(s):  
Brittany P Trubenstein ◽  
Robin Corley ◽  
Kyle D Gebelin ◽  
Sergio Rey ◽  
Sally Wadsworth ◽  
...  

Abstract Rurality is associated with cognitive health disparities. We investigated proximal and distal indices of rurality, activity engagement and cognitive performance in the ongoing Colorado Adoption/Twin Study of Lifespan behavioral development and cognitive aging (CATSLife; N = 979; 47% female). The Index of Relative Rurality (IRR) (0 = Urban to 1= Rural) was calculated using population density, population, percent urban, and remoteness at the census tract (IRRtract; M=0.40,SD =.05) and county levels (IRRcounty; M=0.53, SD=.09), which were moderately correlated (r = .21, p = .000). Individuals reported weekly-hours of engagement in 19 activities, classified into social (M=6.85, SD=4.03), physical (M=6.53, SD=4.76), family (M=10.76, SD=7.06), sedentary (M=11.84, SD=5.83), or cognitive (M=4.63, SD=3.74) domains. Social activities correlated with IRRcounty (r=0.091, p = .005) but not with IRRtract (r=-0.004). WAIS-III IQ scores were available. Social activities modestly correlated with IQ, particularly Verbal-IQ (r = .063, p = .049). Cognitive activities correlated with all IQ measures (r’s = .17 to .25, p < .000). While IRRcounty correlated positively with IQ (r’s=0.057 to 0.094, p’s = .079 to .000), IRRtract correlated negatively but not significantly with IQ (r’s=-0.053 to -0.062, p’s = .104 - .054). Analyses accounting for family nesting, sex, and age suggested compensatory associations between IRRcounty versus IRRtract and Full-Scale-IQ (p < .019), with similar patterns for Verbal-IQ and Performance-IQ. Social activities did not uniquely contribute. Further investigation is warranted to better understand the complex relationships between proximal and distal rurality and the implications that these relationships have on activity engagement and cognitive performance.


2012 ◽  
Vol 11 (1) ◽  
pp. e55-e55a
Author(s):  
V.F.S. Tsai ◽  
F.S. Jaw ◽  
A.M. Wo ◽  
H.C. Chang ◽  
J.T. Hsieh
Keyword(s):  

2004 ◽  
Vol 84 (5) ◽  
pp. 419-429 ◽  
Author(s):  
Beth L Tieman ◽  
Robert J Palisano ◽  
Edward J Gracely ◽  
Peter L Rosenbaum

Abstract Background and Purpose. Mobility of children with cerebral palsy (CP) has generally been examined in terms of capability (what a child can do) in a controlled environment, rather than performance (what a child does do) in everyday settings. The purpose of this study was to compare gross motor capability and performance across environmental settings in children with CP. Subjects. The subjects were 307 children with CP, aged 6 to 12 years, who were randomly selected across Ontario, Canada. Methods. Children were grouped by capability (the highest of 3 items achieved on the Gross Motor Function Measure). Performance was measured via a parent-completed questionnaire on usual mobility methods in the home, at school, and in the outdoors or community. Results. There were statistically significant differences in performance across settings for children in all capability groups. Children who were capable of crawling performed crawling more at home than at school or in the outdoors or community. Children who were capable of walking with support performed walking with support more at school than in the outdoors or community. Children who were capable of walking alone performed walking alone more at home than at school or in the outdoors or community, and more at school than in the outdoors or community. Discussion and Conclusion. The results provide evidence that children with CP with similar capability demonstrate differences in performance across settings. The results suggest that physical therapists should examine performance in the settings that are important to the child's daily life.


2015 ◽  
Vol 112 (24) ◽  
pp. 7593-7598 ◽  
Author(s):  
Douglas D. Garrett ◽  
Irene E. Nagel ◽  
Claudia Preuschhof ◽  
Agnieszka Z. Burzynska ◽  
Janina Marchner ◽  
...  

Better-performing younger adults typically express greater brain signal variability relative to older, poorer performers. Mechanisms for age and performance-graded differences in brain dynamics have, however, not yet been uncovered. Given the age-related decline of the dopamine (DA) system in normal cognitive aging, DA neuromodulation is one plausible mechanism. Hence, agents that boost systemic DA [such as d-amphetamine (AMPH)] may help to restore deficient signal variability levels. Furthermore, despite the standard practice of counterbalancing drug session order (AMPH first vs. placebo first), it remains understudied how AMPH may interact with practice effects, possibly influencing whether DA up-regulation is functional. We examined the effects of AMPH on functional-MRI–based blood oxygen level-dependent (BOLD) signal variability (SDBOLD) in younger and older adults during a working memory task (letter n-back). Older adults expressed lower brain signal variability at placebo, but met or exceeded young adult SDBOLD levels in the presence of AMPH. Drug session order greatly moderated change–change relations between AMPH-driven SDBOLD and reaction time means (RTmean) and SDs (RTSD). Older adults who received AMPH in the first session tended to improve in RTmean and RTSD when SDBOLD was boosted on AMPH, whereas younger and older adults who received AMPH in the second session showed either a performance improvement when SDBOLD decreased (for RTmean) or no effect at all (for RTSD). The present findings support the hypothesis that age differences in brain signal variability reflect aging-induced changes in dopaminergic neuromodulation. The observed interactions among AMPH, age, and session order highlight the state- and practice-dependent neurochemical basis of human brain dynamics.


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