The effect of mental tracking task on spatiotemporal gait parameters in healthy younger and middle- and older aged participants during dual tasking

Bonetti, Leandro Viçosa; Hassan, Syed Ahmed; Kasawara, Karina Tamy; Reid, W. Darlene

doi:10.1007/s00221-019-05659-z

Cited by 20 publications

(9 citation statements)

References 62 publications

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“…For example, Mancini and colleagues [8] showed that using six wearable motion sensors consisting of a gyroscope, accelerometer, and digital compass attached on the left and right wrists, chest, lumber, and left and right shanks can accurately measure the temporal and spatial metrics of gait in multiple cohorts. However, such assessments are typically limited to clinical and laboratory settings, and require in-person contact with trained study personnel to reliably administer protocols and standardized instructions [9,10]. Moreover, such instrumented techniques do not afford regular gait assessments in large numbers of people due to the testing constraints, especially for those who are unable to utilize personal or public transportation and for those who live far from clinical centers or hospitals.…”

Section: Introductionmentioning

confidence: 99%

Simple Smartphone-Based Assessment of Gait Characteristics in Parkinson Disease: Validation Study

Su¹,

Li²,

Jiang³

et al. 2021

JMIR Mhealth Uhealth

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Background Parkinson disease (PD) is a common movement disorder. Patients with PD have multiple gait impairments that result in an increased risk of falls and diminished quality of life. Therefore, gait measurement is important for the management of PD. Objective We previously developed a smartphone-based dual-task gait assessment that was validated in healthy adults. The aim of this study was to test the validity of this gait assessment in people with PD, and to examine the association between app-derived gait metrics and the clinical and functional characteristics of PD. Methods Fifty-two participants with clinically diagnosed PD completed assessments of walking, Movement Disorder Society Unified Parkinson Disease Rating Scale III (UPDRS III), Montreal Cognitive Assessment (MoCA), Hamilton Anxiety (HAM-A), and Hamilton Depression (HAM-D) rating scale tests. Participants followed multimedia instructions provided by the app to complete two 20-meter trials each of walking normally (single task) and walking while performing a serial subtraction dual task (dual task). Gait data were simultaneously collected with the app and gold-standard wearable motion sensors. Stride times and stride time variability were derived from the acceleration and angular velocity signal acquired from the internal motion sensor of the phone and from the wearable sensor system. Results High correlations were observed between the stride time and stride time variability derived from the app and from the gold-standard system (r=0.98-0.99, P<.001), revealing excellent validity of the app-based gait assessment in PD. Compared with those from the single-task condition, the stride time (F1,103=14.1, P<.001) and stride time variability (F1,103=6.8, P=.008) in the dual-task condition were significantly greater. Participants who walked with greater stride time variability exhibited a greater UPDRS III total score (single task: β=.39, P<.001; dual task: β=.37, P=.01), HAM-A (single-task: β=.49, P=.007; dual-task: β=.48, P=.009), and HAM-D (single task: β=.44, P=.01; dual task: β=.49, P=.009). Moreover, those with greater dual-task stride time variability (β=.48, P=.001) or dual-task cost of stride time variability (β=.44, P=.004) exhibited lower MoCA scores. Conclusions A smartphone-based gait assessment can be used to provide meaningful metrics of single- and dual-task gait that are associated with disease severity and functional outcomes in individuals with PD.

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Section: Introductionmentioning

confidence: 99%

Simple Smartphone-Based Assessment of Gait Characteristics in Parkinson Disease: Validation Study

Su¹,

Li²,

Jiang³

et al. 2021

JMIR Mhealth Uhealth

View full text Add to dashboard Cite

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“…Moreover, dual-tasking is a common feature in activities of daily living, generally including a motor and cognitive task [8]. The combination of walking with a mental tracking task, like spelling backwards (the task we chose), is often used to evaluate the effect in spatiotemporal gait parameters in older and in younger adults [5,[9][10][11]. Finally, power and endurance of the calf muscles, especially M. triceps surae, is essential for human gait, balance and for mobility in everyday activities [2].…”

Section: Related Work 21 Gait Patterns Interventions and The Unilamentioning

confidence: 99%

Detecting Walking Challenges in Gait Patterns Using a Capacitive Sensor Floor and Recurrent Neural Networks

Hoffmann

Brodowski

Steinhage³

et al. 2021

Sensors

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Gait patterns are a result of the complex kinematics that enable human two-legged locomotion, and they can reveal a lot about a person’s state and health. Analysing them is useful for researchers to get new insights into the course of diseases, and for physicians to track the progress after healing from injuries. When a person walks and is interfered with in any way, the resulting disturbance can show up and be found in the gait patterns. This paper describes an experimental setup for capturing gait patterns with a capacitive sensor floor, which can detect the time and position of foot contacts on the floor. With this setup, a dataset was recorded where 42 participants walked over a sensor floor in different modes, inter alia, normal pace, closed eyes, and dual-task. A recurrent neural network based on Long Short-Term Memory units was trained and evaluated for the classification task of recognising the walking mode solely from the floor sensor data. Furthermore, participants were asked to do the Unilateral Heel-Rise Test, and their gait was recorded before and after doing the test. Another neural network instance was trained to predict the number of repetitions participants were able to do on the test. As the results of the classification tasks turned out to be promising, the combination of this sensor floor and the recurrent neural network architecture seems like a good system for further investigation leading to applications in health and care.

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“…Os resultados do presente estudo demonstraram que durante a realização das atividades de dupla tarefa os participantes demonstraram pior desempenho nos parâmetros da marcha quando comparado à tarefa simples da marcha.Várias pesquisas já demonstraram que a realização de atividades de DT geram alterações na marcha, tanto em sujeitos saudáveis jovens e idosos (SIMONI et al, 2013;BONETTI et al, 2019), assim como em indivíduos com alterações neurológicas como o AVE indicando comprometimento na locomoção ao realizar simultaneamente duas tarefas com objetivos diferentes (BALDAN; ELMAUER, 2015; DEBLOCK-BELLAMY; LAMON-TAGNE;BLANCHETTE, 2020;LIU et al, 2017;MEESTER et al, 2019;YANG et al, 2007). Em pacientes neurológicos, o comprometimento sensório-motor restringe a ação muscular e piora o controle corporal; e se a espasticidade estiver agindo sobre os membros inferiores, os déficits da marcha serão potencializados diante da falta de seletividade motora (BALDAN;ELMAUER, 2015).…”

Section: Discussionunclassified

“…O padrão da marcha hemiparética apresenta variações devido ao tipo de acometimento neurológico e também ao grau de espasticidade muscular presente no indivíduo. Ainda, a presença de alterações cognitivas, comuns nos pacientes com LEA, potencializa as dificuldades na execução de tarefas motoras (BALDAN;ELMAUER, 2015), pois déficits cognitivos estão associados a diminuição da mobilidade e risco aumentado de quedas (BONETTI et al, 2019).…”

Section: Introductionunclassified

A influência de atividades de dupla tarefa na cinemática da marcha de indivíduos com hemiparesia espástica.

Sául¹,

Enriconi²,

Bonetti³

et al. 2021

cmbio

Self Cite

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Objetivo: analisar a influência de atividades de dupla tarefa na cinemática da marcha de indivíduos com hemiparesia espástica. Metodologia: amostra de 12 indivíduos, com idade entre 30 e 71 anos. Primeiramente, as tarefas simples foram realizadas: marcha simples (tarefa motora), tarefa de fluência verbal (tarefa cognitiva) e tarefa visuoespacial (tarefa cognitiva). Após, as duplas tarefas foram realizadas, onde foi realizada a marcha ao mesmo tempo das tarefas cognitivas. Para a avaliação da marcha, foi utilizado um sistema de captura da trajetória tridimensional da marcha e as variáveis estudadas foram cadência, velocidade, comprimento da passada, largura do passo, tempo da passada, apoio simples e apoio duplo. Para a análise dos resultados utilizou-se estatística descritiva, o teste t pareado e o teste de Correlação de Pearson (p<0,05). Resultados: na comparação com a marcha simples, durante as atividades de dupla tarefa os indivíduos apresentarem piores resultados nas variáveis cinemáticas da marcha. Durante a dupla tarefa de fluência verbal, as principais diferenças quando comparado com a marcha simples foram: velocidade, cadência, o tempo da passada, comprimento da passada e apoio simples. Já a dupla tarefa cognitiva visuoespacial demonstrou as principais diferenças na: velocidade, comprimento da passada e apoio simples. Houve correlação forte e significativa do Mini Exame do Estado Mental com a tarefa de fluência verbal simples e com a dupla tarefa; assim como para a tarefa visuoespacial simples e na dupla tarefa. Conclusão: conclui-se que ocorreu alteração em alguns parâmetros cinemáticos da marcha quando associado à dupla tarefa, com maior influência negativa da tarefa cognitiva de fluência verbal quando comparadas com a visuoespacial

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The effect of mental tracking task on spatiotemporal gait parameters in healthy younger and middle- and older aged participants during dual tasking

Cited by 20 publications

References 62 publications

Simple Smartphone-Based Assessment of Gait Characteristics in Parkinson Disease: Validation Study

Simple Smartphone-Based Assessment of Gait Characteristics in Parkinson Disease: Validation Study

Detecting Walking Challenges in Gait Patterns Using a Capacitive Sensor Floor and Recurrent Neural Networks

A influência de atividades de dupla tarefa na cinemática da marcha de indivíduos com hemiparesia espástica.

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