Augmenting Clinical Outcome Measures of Gait and Balance with a Single Inertial Sensor in Age-Ranged Healthy Adults

O’Brien, Megan K.; Hidalgo-Araya, Marco D.; Mummidisetty, Chaithanya K.; Ghaffari, Roozbeh; Rogers, John A.; Lieber, Richard L.

doi:10.3390/s19204537

Cited by 30 publications

(42 citation statements)

References 40 publications

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“…We understand there are two separate or combined explanations for this situation. While important papers have proposed the use of automatic algorithms in lumbar-mounted IMU (also used by BTS), they have not been specifically validated for use in people aged between 85 and 101 years old (Weiss et al, 2013;Vervoort et al, 2016;Kleiner et al, 2018;O'Brien et al, 2019). Moreover, the automatic algorithms usually consider a TUG test in which a cone is used to mark the turning point (180 • ).…”

Section: Mobility Smoothness Measurement and Data Analysesmentioning

confidence: 99%

SPARC Metrics Provide Mobility Smoothness Assessment in Oldest-Old With and Without a History of Falls: A Case Control Study

et al. 2020

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Aging-related neuromuscular and neurocognitive decline induces unsmooth movements in daily functional mobility. Here, we used a robust analysis of linear and angular spectral arc length (SPARC) in the single and dual task instrumented timed up-and-go (iTUG) test to compare functional mobility smoothness in fallers and non-fallers aged 85 and older. 64 participants aged 85 and older took part in this case control study. The case group (fallers, n = 32) had experienced falls to the ground in the 6 months prior to the assessment. SPARC analyses were conducted in all phases of the single and dual task iTUGs. We also performed correlation mapping to test the relation of socio-demographic and clinical features on SPARC metrics. The magnitude of betweengroup differences was calculated using D-Cohen effect size (ES). SPARC was able to distinguish fallers during the single iTUG (ES ≈ 4.18). Turning while walking in the iTUG induced pronounced unsmooth movements in the fallers (SPARC ≈ −13; ES = 3.52) and was associated with the ability to maintain balance in the functional reach task. This information is of importance in the study of functional mobility in the oldest-old and to assess the efficacy of fall-prevention programs.

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Section: Mobility Smoothness Measurement and Data Analysesmentioning

confidence: 99%

SPARC Metrics Provide Mobility Smoothness Assessment in Oldest-Old With and Without a History of Falls: A Case Control Study

et al. 2020

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“…Voitenko techniques. The magnitude of the rate of aging (RA) was determined according to the formula: RA=BA-ABA [8].…”

Section: Methodsmentioning

confidence: 99%

“…There are several important events occurring with age: development of cardiovascular diseases; decrease in the number of acute illnesses and increase in the number of ailments associated with progression of chronic pathological processes; decline in muscle strength and mass; reduction in bone density. As a consequence, we observe a decline in postural control functions, which is a clear manifestation of reduced mobility, resulting in possibility of falls [7][8].…”

Section: Introductionmentioning

confidence: 99%

Mobility in association with anxiety and quality of life in middle-aged and older female fallers and non-fallers

Shiryaeva¹,

Fedotov²,

Грибанов³

et al. 2020

Russ Open Med J

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Objective ― The goal of our study was to compare mobility vs. cognitive function and quality of life in middle-aged and older women, both fallers and non-fallers. Material and Methods ― A total of 246 healthy community-dwelling women 55-74 YO participated in this study. They were distributed among two subgroups: (1) fallers (n=95) and (2) non-fallers (n=151). Fallers had falls in the past 12 months, while non-fallers did not. Walking tests were performed using Balance Master® posturography system. Trait anxiety and state anxiety were assessed by Spielberger-Hanin test; health state and quality of life (QoL) were evaluated from SF-36 health survey questionnaire; subjectively experienced age (SEA) and the rate of aging were also estimated. Results ― In Walk Across test, the average speed was lower in fallers (p=0.020), as compared with non-fallers. In Tandem Walking test, step width (p=0.016) and endpoint sway velocity (p=0.029) were higher, while speed (p=0.030) was lower in fallers vs. non-fallers. Step-Quick-Turn test time (p=0.016) was longer and sway (p=0.011) was higher in fallers in the course of turning both to the left and to the right. SEA in female non-fallers was less (p=0.033) than in female fallers of the same age. Trait anxiety was higher in female fallers (p=0.012) with a lower QoL level (p<0.001). Conclusion ― Our results validated the need for early assessment of the postural control dynamic components in order to prevent the development of falls as a geriatric syndrome.

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“…As a result, gait analysis in the laboratory is often limited. All the above factors indicate the need for a new gait analysis method with real clinical value [16,17].…”

Section: Related Workmentioning

confidence: 99%

Towards Wearable-Inertial-Sensor-Based Gait Posture Evaluation for Subjects with Unbalanced Gaits

Qiu

Wang

et al. 2020

Sensors

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Human gait reflects health condition and is widely adopted as a diagnostic basisin clinical practice. This research adopts compact inertial sensor nodes to monitor the functionof human lower limbs, which implies the most fundamental locomotion ability. The proposedwearable gait analysis system captures limb motion and reconstructs 3D models with high accuracy.It can output the kinematic parameters of joint flexion and extension, as well as the displacementdata of human limbs. The experimental results provide strong support for quick access to accuratehuman gait data. This paper aims to provide a clue for how to learn more about gait postureand how wearable gait analysis can enhance clinical outcomes. With an ever-expanding gait database,it is possible to help physiotherapists to quickly discover the causes of abnormal gaits, sports injuryrisks, and chronic pain, and provides guidance for arranging personalized rehabilitation programsfor patients. The proposed framework may eventually become a useful tool for continually monitoringspatio-temporal gait parameters and decision-making in an ambulatory environment.

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Augmenting Clinical Outcome Measures of Gait and Balance with a Single Inertial Sensor in Age-Ranged Healthy Adults

Cited by 30 publications

References 40 publications

SPARC Metrics Provide Mobility Smoothness Assessment in Oldest-Old With and Without a History of Falls: A Case Control Study

SPARC Metrics Provide Mobility Smoothness Assessment in Oldest-Old With and Without a History of Falls: A Case Control Study

Mobility in association with anxiety and quality of life in middle-aged and older female fallers and non-fallers

Towards Wearable-Inertial-Sensor-Based Gait Posture Evaluation for Subjects with Unbalanced Gaits

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