Between-day repeatability of sensor-based in-home gait assessment among older adults: assessing the effect of frailty

Kumar, Danya Pradeep; Wendel, Christopher; Mohler, Jane; Laksari, Kaveh; Toosizadeh, Nima

doi:10.1007/s40520-020-01686-x

Cited by 5 publications

(4 citation statements)

References 45 publications

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“…Second, unsupervised assessments were performed for only one day. We based this choice on the following considerations: a previous study [49] evaluated the repeatability of sensorbased assessments during two consecutive days and found that gait parameters were highly comparable between the two days. In addition, home and lab measures demonstrated strong discriminatory power in detecting impaired motor function in PD in another study, where unsupervised assessment was performed during one single day [22].…”

Section: Discussionmentioning

confidence: 99%

Comparison of Laboratory and Daily-Life Gait Speed Assessment during ON and OFF States in Parkinson’s Disease

Maia

Atrsaei

Sardoreira

et al. 2021

Sensors

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Accurate assessment of Parkinson’s disease (PD) ON and OFF states in the usual environment is essential for tailoring optimal treatments. Wearables facilitate measurements of gait in novel and unsupervised environments; however, differences between unsupervised and in-laboratory measures have been reported in PD. We aimed to investigate whether unsupervised gait speed discriminates medication states and which supervised tests most accurately represent home performance. In-lab gait speeds from different gait tasks were compared to home speeds of 27 PD patients at ON and OFF states using inertial sensors. Daily gait speed distribution was expressed in percentiles and walking bout (WB) length. Gait speeds differentiated ON and OFF states in the lab and the home. When comparing lab with home performance, ON assessments in the lab showed moderate-to-high correlations with faster gait speeds in unsupervised environment (r = 0.69; p < 0.001), associated with long WB. OFF gait assessments in the lab showed moderate correlation values with slow gait speeds during OFF state at home (r = 0.56; p = 0.004), associated with short WB. In-lab and daily assessments of gait speed with wearables capture additional integrative aspects of PD, reflecting different aspects of mobility. Unsupervised assessment using wearables adds complementary information to the clinical assessment of motor fluctuations in PD.

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Section: Discussionmentioning

confidence: 99%

Comparison of Laboratory and Daily-Life Gait Speed Assessment during ON and OFF States in Parkinson’s Disease

Maia

Atrsaei

Sardoreira

et al. 2021

Sensors

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“…Previous studies have emphasized the effectiveness of DPA gait performance measures to discriminate between frailty groups [9] and also on the between-day repeatability of these gait performance parameters between frailty groups [19]. In continuation of previous research, this is the first study exploring DPA duration and DPA performance variability as indicators of frailty.…”

Section: Discussionmentioning

confidence: 76%

“…Frailty has been found to be associated with more restricted life-space mobility [[18]], and owing to the deterioration in resilience and reserve, frail older adults potentially tend to perform their DPA in a habitual and routine fashion to meet daily demands in a restricted life-space, while non-frail older adults perform their DPA with higher variability as they can adapt themselves to changes in demands in a larger and expanded life-space. Along these lines, previous work has shown that gait performance parameters over 2 days of DPA are more repeatable in the pre-frail/frail older adults compared to the non-frail individuals [[19]]. While evidence provided information about the repeatability of gait performance in DPA measurements, to the best of our knowledge, there is no study that explores the variability in durations of DPA across frailty groups.…”

Section: Introductionmentioning

confidence: 99%

Sensor-Based Assessment of Variability in Daily Physical Activity and Frailty

Kumar¹,

Najafi²,

Laksari³

et al. 2023

Gerontology

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Introduction: Frailty is a common geriatric syndrome associated with decline in physiological reserve. While several digital biomarkers of daily physical activity (DPA) have been used in frailty assessment, the association between DPA variability and frailty is still not clear. The goal of this study was to determine the association between frailty and DPA variability. Methods: This is an observational cross-sectional study conducted between September 2012 and November 2013. Older adults (≥65 years), without any severe mobility disorder, and the ability to walk 10 m (with or without an assistive device) were eligible for the study. DPA including sitting, standing, walking, lying, and postural transition were recorded for 48 h continuously. DPA variability was analyzed from two perspectives: (i) DPA duration variability in terms of coefficient of variation (CoV) of sitting, standing, walking, and lying down durations; and (ii) DPA performance variability in terms of CoV of sit-to-stand (SiSt) and stand-to-sit (StSi) durations and stride time (i.e., slope of power spectral density – PSD). Results: Data was analyzed from 126 participants (44 non-frail, 60 pre-frail, and 22 frail). For DPA duration variability, CoV of lying and walking duration was significantly larger among non-frail compared to pre-frail and frail groups (p < 0.03, d = 0.89 ± 0.40). For DPA performance variability, StSi CoV and PSD slope were significantly smaller for non-frail compared to pre-frail and frail groups (p < 0.05, d = 0.78 ± 0.19). Conclusion: Lower DPA duration variability in pre-frail and frail groups may be attributed to the set daily routines frail older adults tend to follow, compared to variable physical activity routines of non-frail older adults. Higher DPA performance variability in the frail group may be attributed to reduced physiological capabilities toward walking for longer durations and the reduced muscle strength in the lower extremities, leading to incosistency in performing postural transitions.

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“…To further judge the performance of temperature sensors, their hysteresis [ 85 ] and repeatability [ 86 ] also need to be known. Hysteresis is to point in the process of heating and cooling at the same temperature corresponding to the biggest difference in the resistance, the availability of the maximum error of the hysteresis

where

represents the maximum change value in the process, and

represents the full-scale output value.…”

Section: Thermal Response Mechanism and Performance Index Of Graphene...mentioning

confidence: 99%

Graphene-Based Wearable Temperature Sensors: A Review

Liu

Wang

et al. 2023

Nanomaterials

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Flexible sensing electronics have received extensive attention for their potential applications in wearable human health monitoring and care systems. Given that the normal physiological activities of the human body are primarily based on a relatively constant body temperature, real-time monitoring of body surface temperature using temperature sensors is one of the most intuitive and effective methods to understand physical conditions. With its outstanding electrical, mechanical, and thermal properties, graphene emerges as a promising candidate for the development of flexible and wearable temperature sensors. In this review, the recent progress of graphene-based wearable temperature sensors is summarized, including material preparation, working principle, performance index, classification, and related applications. Finally, the challenges and future research emphasis in this field are put forward. This review provides important guidance for designing novel and intelligent wearable temperature-sensing systems.

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Between-day repeatability of sensor-based in-home gait assessment among older adults: assessing the effect of frailty

Cited by 5 publications

References 45 publications

Comparison of Laboratory and Daily-Life Gait Speed Assessment during ON and OFF States in Parkinson’s Disease

Comparison of Laboratory and Daily-Life Gait Speed Assessment during ON and OFF States in Parkinson’s Disease

Sensor-Based Assessment of Variability in Daily Physical Activity and Frailty

Graphene-Based Wearable Temperature Sensors: A Review

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