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Maureen Schmitter-Edgecombe

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https://www.readbyqxmd.com/read/27886019/an-analysis-of-a-digital-variant-of-the-trail-making-test-using-machine-learning-techniques
#1
Jessamyn Dahmen, Diane Cook, Robert Fellows, Maureen Schmitter-Edgecombe
BACKGROUND: The goal of this work is to develop a digital version of a standard cognitive assessment, the Trail Making Test (TMT), and assess its utility. OBJECTIVE: This paper introduces a novel digital version of the TMT and introduces a machine learning based approach to assess its capabilities. METHODS: Using digital Trail Making Test (dTMT) data collected from (N = 54) older adult participants as feature sets, we use machine learning techniques to analyze the utility of the dTMT and evaluate the insights provided by the digital features...
November 18, 2016: Technology and Health Care: Official Journal of the European Society for Engineering and Medicine
https://www.readbyqxmd.com/read/27877123/mobility-and-upright-posture-are-associated-with-different-aspects-of-cognition-in-older-adults
#2
Rajal G Cohen, Anita N Vasavada, Michelle M Wiest, Maureen Schmitter-Edgecombe
Objectives: Aging is associated with cognitive decline, including visuomotor and memory concerns, and with motor system changes, including gait slowing and stooped posture. We investigated the associations of visuomotor performance and episodic memory with motor system characteristics in healthy older adults. Methods: Neurologically healthy older adults (N = 160, aged 50-89) completed a battery of cognitive and motor tasks. Cognitive variables were grouped by principal components analysis (PCA) into two components: visuomotor performance and verbal episodic memory...
2016: Frontiers in Aging Neuroscience
https://www.readbyqxmd.com/read/27746849/one-class-classification-based-real-time-activity-error-detection-in-smart-homes
#3
Barnan Das, Diane J Cook, Narayanan C Krishnan, Maureen Schmitter-Edgecombe
Caring for individuals with dementia is frequently associated with extreme physical and emotional stress, which often leads to depression. Smart home technology and advances in machine learning techniques can provide innovative solutions to reduce caregiver burden. One key service that caregivers provide is prompting individuals with memory limitations to initiate and complete daily activities. We hypothesize that sensor technologies combined with machine learning techniques can automate the process of providing reminder-based interventions...
August 2016: IEEE Journal of Selected Topics in Signal Processing
https://www.readbyqxmd.com/read/27690752/multicomponent-analysis-of-a-digital-trail-making-test
#4
Robert P Fellows, Jessamyn Dahmen, Diane Cook, Maureen Schmitter-Edgecombe
OBJECTIVE: The purpose of the current study was to use a newly developed digital tablet-based variant of the TMT to isolate component cognitive processes underlying TMT performance. METHOD: Similar to the paper-based trail making test, this digital variant consists of two conditions, Part A and Part B. However, this digital version automatically collects additional data to create component subtest scores to isolate cognitive abilities. Specifically, in addition to the total time to completion and number of errors, the digital Trail Making Test (dTMT) records several unique components including the number of pauses, pause duration, lifts, lift duration, time inside each circle, and time between circles...
October 3, 2016: Clinical Neuropsychologist
https://www.readbyqxmd.com/read/27474023/content-and-temporal-order-memory-for-performed-activities-in-parkinson-s-disease
#5
Courtney McAlister, Maureen Schmitter-Edgecombe
OBJECTIVE: This study examined content and temporal order memory for subject-performed activities in an incidental learning condition in cognitively healthy individuals with Parkinson's disease (PD) (N = 20) and controls (N = 20). METHOD: Participant's free recall of activities provided a measure of content memory. Temporal order memory was assessed with a reconstruction task of activities. Self- and informant-reports of everyday memory were used to examine the relationship between everyday memory, and content and temporal order memory...
July 29, 2016: Archives of Clinical Neuropsychology: the Official Journal of the National Academy of Neuropsychologists
https://www.readbyqxmd.com/read/27471222/unsupervised-detection-and-analysis-of-changes-in-everyday-physical-activity-data
#6
Gina Sprint, Diane J Cook, Maureen Schmitter-Edgecombe
Sensor-based time series data can be utilized to monitor changes in human behavior as a person makes a significant lifestyle change, such as progress toward a fitness goal. Recently, wearable sensors have increased in popularity as people aspire to be more conscientious of their physical health. Automatically detecting and tracking behavior changes from wearable sensor-collected physical activity data can provide a valuable monitoring and motivating tool. In this paper, we formalize the problem of unsupervised physical activity change detection and address the problem with our Physical Activity Change Detection (PACD) approach...
October 2016: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/27406700/naturalistic-tasks-performed-in-realistic-environments-a-review-with-implications-for-neuropsychological-assessment
#7
Kayela Robertson, Maureen Schmitter-Edgecombe
OBJECTIVE: Understanding functional abilities for those with neurologic disorders is a growing area of investigation. In this paper, performance-based naturalistic tasks used to assess cognitive and functional deficits were reviewed to determine current evidence for effectiveness as valid and reliable assessment measures and to make recommendations for future research. METHOD: Performance-based naturalistic tasks were defined as observable, rule-based, open-ended tasks completed in an environment that either mimics the real world or is the real world...
July 13, 2016: Clinical Neuropsychologist
https://www.readbyqxmd.com/read/27346990/modeling-patterns-of-activities-using-activity-curves
#8
Prafulla N Dawadi, Diane J Cook, Maureen Schmitter-Edgecombe
Pervasive computing offers an unprecedented opportunity to unobtrusively monitor behavior and use the large amount of collected data to perform analysis of activity-based behavioral patterns. In this paper, we introduce the notion of an activity curve, which represents an abstraction of an individual's normal daily routine based on automatically-recognized activities. We propose methods to detect changes in behavioral routines by comparing activity curves and use these changes to analyze the possibility of changes in cognitive or physical health...
June 2016: Pervasive and Mobile Computing
https://www.readbyqxmd.com/read/27240886/everyday-functioning-and-cognitive-correlates-in-healthy-older-adults-with-subjective-cognitive-concerns
#9
Courtney McAlister, Maureen Schmitter-Edgecombe
OBJECTIVE: Few studies have examined functional abilities and complaints in healthy older adults (HOAs) with subjective cognitive concerns (SCC). The aims of this study were to assess everyday functioning in HOAs reporting high and low amounts of SCC and examine cognitive correlates of functional abilities. METHOD: Twenty-six HOAs with high SCC and 25 HOAs with low SCC, as well as their knowledgeable informants, completed the Instrumental Activities of Daily Living-Compensation (IADL-C), a questionnaire measure of everyday functioning...
October 2016: Clinical Neuropsychologist
https://www.readbyqxmd.com/read/27206842/executive-function-subcomponents-and-their-relations-to-everyday-functioning-in-healthy-older-adults
#10
Courtney McAlister, Maureen Schmitter-Edgecombe
Everyday functioning and its executive functioning cognitive correlates (i.e., switching, inhibition, and updating) were investigated in healthy older adults (HOAs) using multiple methods of functional status. In addition to whether computerized experimental tasks would better dissociate these subcomponents than neuropsychological measures of executive functioning, we were also interested in the contributions of both experimental and neuropsychological measures of executive function subcomponents to functional abilities...
October 2016: Journal of Clinical and Experimental Neuropsychology
https://www.readbyqxmd.com/read/27167867/the-role-of-cognitive-reserve-and-memory-self-efficacy-in-compensatory-strategy-use-a-structural-equation-approach
#11
Christa Simon, Maureen Schmitter-Edgecombe
INTRODUCTION: The use of compensatory strategies plays an important role in the ability of older adults to adapt to late-life memory changes. Even with the benefits associated with compensatory strategy use, little research has explored specific mechanisms associated with memory performance and compensatory strategies. Rather than an individual's objective memory performance directly predicting their use of compensatory strategies, it is possible that some other variables are indirectly influencing that relationship...
August 2016: Journal of Clinical and Experimental Neuropsychology
https://www.readbyqxmd.com/read/27019791/automated-detection-of-activity-transitions-for-prompting
#12
Kyle D Feuz, Diane J Cook, Cody Rosasco, Kayela Robertson, Maureen Schmitter-Edgecombe
Individuals with cognitive impairment can benefit from intervention strategies like recording important information in a memory notebook. However, training individuals to use the notebook on a regular basis requires a constant delivery of reminders. In this work, we design and evaluate machine learning-based methods for providing automated reminders using a digital memory notebook interface. Specifically, we identify transition periods between activities as times to issue prompts. We consider the problem of detecting activity transitions using supervised and unsupervised machine learning techniques, and find that both techniques show promising results for detecting transition periods...
October 2015: IEEE Transactions on Human-machine Systems
https://www.readbyqxmd.com/read/26810777/cross-sectional-and-longitudinal-analyses-of-everyday-memory-lapses-in-older-adults
#13
Courtney McAlister, Maureen Schmitter-Edgecombe
Everyday memory lapses experienced by older adults (OAs) were examined using a daily-diary checklist and retrospective questionnaire. In Experiment 1, 138 younger and 138 OAs indicated the frequency of forgetting of 16 memory lapses, and whether each occurred daily during the course of a week. OAs reported more memory lapses on the questionnaire, but not the daily diary. OAs reported more frequently forgetting names and words, while younger adults had more difficulty with appointments and personal dates. Fewer memory lapses on the daily diary were related to better performance on a laboratory-memory measure for OAs...
September 2016: Neuropsychology, Development, and Cognition. Section B, Aging, Neuropsychology and Cognition
https://www.readbyqxmd.com/read/26558636/examining-the-impact-of-formal-planning-on-performance-in-older-adults-using-a-naturalistic-task-paradigm
#14
Chad Sanders, Maureen Schmitter-Edgecombe
Thirty-two younger adults (YAs) and 64 older adults (OAs) completed the Amap Task, a naturalistic measure designed to evaluate the formulation and execution stages of planning. Participants read a map layout of a university apartment and planned an efficient strategy to complete several tasks. To determine whether execution abilities are augmented by formulating a plan, we compared formal (i.e., written strategy) and informal (i.e., initiate task when ready without writing out a strategy) planning conditions...
November 11, 2015: Neuropsychological Rehabilitation
https://www.readbyqxmd.com/read/26409520/prompting-technologies-a-comparison-of-time-based-and-context-aware-transition-based-prompting
#15
RANDOMIZED CONTROLLED TRIAL
Kayela Robertson, Cody Rosasco, Kyle Feuz, Maureen Schmitter-Edgecombe, Diane Cook
BACKGROUND: While advancements in technology have encouraged the development of novel prompting systems to support cognitive interventions, little research has evaluated the best time to deliver prompts, which may impact the effectiveness of these interventions. OBJECTIVE: This study examined whether transition-based context prompting (prompting an individual during task transitions) is more effective than traditional fixed time-based prompting. METHODS: Participants were 42 healthy adults who completed 12 different everyday activities, each lasting 1-7 minutes, in an experimental smart home testbed and received prompts to record the completed activities from an electronic memory notebook...
2015: Technology and Health Care: Official Journal of the European Society for Engineering and Medicine
https://www.readbyqxmd.com/read/26332171/neuropsychological-test-selection-for-cognitive-impairment-classification-a-machine-learning-approach
#16
Alyssa Weakley, Jennifer A Williams, Maureen Schmitter-Edgecombe, Diane J Cook
INTRODUCTION: Reducing the amount of testing required to accurately detect cognitive impairment is clinically relevant. The aim of this research was to determine the fewest number of clinical measures required to accurately classify participants as healthy older adult, mild cognitive impairment (MCI), or dementia using a suite of classification techniques. METHOD: Two variable selection machine learning models (i.e., naive Bayes, decision tree), a logistic regression, and two participant datasets (i...
2015: Journal of Clinical and Experimental Neuropsychology
https://www.readbyqxmd.com/read/26300441/between-domain-cognitive-dispersion-and-functional-abilities-in-older-adults
#17
Robert P Fellows, Maureen Schmitter-Edgecombe
OBJECTIVE: Within-person variability in cognitive performance is related to neurological integrity, but the association with functional abilities is less clear. The primary aim of this study was to examine the association between cognitive dispersion, or within-person variability, and everyday multitasking and the way in which these variables may influence performance on a naturalistic assessment of functional abilities. METHOD: Participants were 156 community-dwelling adults, age 50 or older...
2015: Journal of Clinical and Experimental Neuropsychology
https://www.readbyqxmd.com/read/26292348/automated-cognitive-health-assessment-from-smart-home-based-behavior-data
#18
Prafulla Nath Dawadi, Diane Joyce Cook, Maureen Schmitter-Edgecombe
Smart home technologies offer potential benefits for assisting clinicians by automating health monitoring and well-being assessment. In this paper, we examine the actual benefits of smart home-based analysis by monitoring daily behavior in the home and predicting clinical scores of the residents. To accomplish this goal, we propose a clinical assessment using activity behavior (CAAB) approach to model a smart home resident's daily behavior and predict the corresponding clinical scores. CAAB uses statistical features that describe characteristics of a resident's daily activity performance to train machine learning algorithms that predict the clinical scores...
July 2016: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/26259225/analyzing-activity-behavior-and-movement-in-a-naturalistic-environment-using-smart-home-techniques
#19
Diane J Cook, Maureen Schmitter-Edgecombe, Prafulla Dawadi
One of the many services that intelligent systems can provide is the ability to analyze the impact of different medical conditions on daily behavior. In this study, we use smart home and wearable sensors to collect data, while ( n = 84) older adults perform complex activities of daily living. We analyze the data using machine learning techniques and reveal that differences between healthy older adults and adults with Parkinson disease not only exist in their activity patterns, but that these differences can be automatically recognized...
November 2015: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/25915097/self-awareness-and-traumatic-brain-injury-outcome
#20
Kayela Robertson, Maureen Schmitter-Edgecombe
PRIMARY OBJECTIVE: Impaired self-awareness following a traumatic brain injury (TBI) can reduce the effectiveness of rehabilitation, resulting in poorer outcomes. However, little is understood about how the multi-dimensional aspects of self-awareness may differentially change with recovery and impact outcome. Thus, this study examined four self-awareness variables represented in the Dynamic Comprehensive Model of Awareness: metacognitive awareness, anticipatory awareness, error-monitoring and self-regulation...
2015: Brain Injury: [BI]
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