Vibrotactile Feedback Alters Dynamics Of Static Postural Control In Persons With Parkinson’s Disease But Not Older Adults At High Fall Risk

High, Carleigh M.; McHugh, Hannah F.; Mills, Stephen C.; Amano, Shinichi; Freund, Jane; Vallabhajosula, Srikant

doi:10.1016/j.gaitpost.2018.05.010

Cited by 14 publications

(34 citation statements)

References 25 publications

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“…In line with several previous studies [ 11 , 23 , 27 , 51 ], the results obtained in this study suggest that feedback mechanism–based interventions are satisfactory. The pilot experiment showed that subjects applied significantly more accurate loads on the forearm crutches after only a few minutes, or even a few seconds in some cases.…”

Section: Discussionsupporting

confidence: 92%

“…This is the basic principle underlying feedback mechanisms [7,9,10]. This paper focuses on extrinsic feedback, which is provided by external sources [11,12]. The wide range of well-known feedback technologies include visual [5,[13][14][15], acoustic [16][17][18], and haptic [11,16,19] technologies, which are usually adapted to each individual user in a coherent manner [20].…”

Section: Introductionmentioning

confidence: 99%

“…This paper focuses on extrinsic feedback, which is provided by external sources [11,12]. The wide range of well-known feedback technologies include visual [5,[13][14][15], acoustic [16][17][18], and haptic [11,16,19] technologies, which are usually adapted to each individual user in a coherent manner [20]. Other classifications and types of feedback depend on when the information is applied, what type of data it offers, or what objective it pursues, among other factors.…”

Section: Introductionmentioning

confidence: 99%

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Versatile GCH Control Software for Correction of Loads Applied to Forearm Crutches During Gait Recovery Through Technological Feedback: Development and Implementation Study

Chamorro-Moriana¹,

Sevillano²,

Pérez-Cabezas³

2021

J Med Internet Res

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Background Measuring weight bearing is an essential aspect of clinical care for lower limb injuries such as sprains or meniscopathy surgeries. This care often involves the use of forearm crutches for partial loads progressing to full loads. Therefore, feasible methods of load monitoring for daily clinical use are needed. Objective The main objective of this study was to design an innovative multifunctional desktop load-measuring software that complements GCH System 2.0–instrumented forearm crutches and monitors the applied loads, displaying real-time graphical and numerical information, and enabling the correction of inaccuracies through feedback technology during assisted gait. The secondary objective was to perform a preliminary implementation trial. Methods The software was designed for indoor use (clinics/laboratories). This software translates the crutch sensor signal in millivolts into force units, records and analyzes data (10-80 Hz), and provides real-time effective curves of the loads exerted on crutches. It covers numerous types of extrinsic feedback, including visual, acoustic (verbal/beeps), concurrent, terminal, and descriptive feedback, and includes a clinical and research use database. An observational descriptive pilot study was performed with 10 healthy subjects experienced in bilateral assisted gait. The Wilcoxon matched-pairs signed-rank test was used to evaluate the load accuracy evolution of each subject (ie, changes in the loads exerted on crutches for each support) among various walks, which was interpreted at the 95% confidence level. Results GCH Control Software was developed as a multifunctional desktop tool complementing GCH System 2.0–instrumented forearm crutches. The pilot implementation of the feedback mechanism observed 96/100 load errors at baseline (walk 0, no feedback) with 7/10 subjects exhibiting crutch overloading. Errors ranged from 61.09% to 203.98%, demonstrating heterogeneity. The double-bar feedback found 54/100 errors in walk 1, 28/100 in walk 2, and 14/100 in walk 3. The first walk with double-bar feedback (walk 1) began with errors similar to the baseline walk, generally followed by attempts at correction. The Wilcoxon matched-pairs signed-rank test used to evaluate each subject’s progress showed that all participants steadily improved the accuracy of the loads applied to the crutches. In particular, Subject 9 required extra feedback with two single-bar walks to focus on the total load. The participants also corrected the load balance between crutches and fluency errors. Three subjects made one error of load balance and one subject made six fluctuation errors during the three double-bar walks. The latter subject performed additional feedback with two balance-bar walks to focus on the load balance. Conclusions GCH Control Software proved to be useful for monitoring the loads exerted on forearm crutches, providing a variety of feedback for correcting load accuracy, load balance between crutches, and fluency. The findings of the complementary implementation were satisfactory, although clinical trials with larger samples are needed to assess the efficacy of the different feedback mechanisms and to select the best alternatives in each case.

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Section: Discussionsupporting

confidence: 92%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Versatile GCH Control Software for Correction of Loads Applied to Forearm Crutches During Gait Recovery Through Technological Feedback: Development and Implementation Study

Chamorro-Moriana¹,

Sevillano²,

Pérez-Cabezas³

2021

J Med Internet Res

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“…Haptic feedback systems are generally composed of an actuation system providing vibratory cues to the patient, a sensory system collecting measurements about the user, and a processing unit running an algorithm that suggests when to activate actuators [ 16 , 17 ]. The actuators are usually positioned around the trunk, hips, or head and can number from two to eight, depending on the body position [ 16 , 17 , 18 ]. The sensors usually integrated into these systems are inertial measurement units (IMU), commonly positioned near ankles, lower trunks, hips, knees, shins, or feet [ 18 , 19 ].…”

Section: Introductionmentioning

confidence: 99%

User-Centered Design Methodologies for the Prototype Development of a Smart Harness and Related System to Provide Haptic Cues to Persons with Parkinson’s Disease

Imbesi

Corzani

Lopane

et al. 2022

Sensors

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This paper describes the second part of the PASSO (Parkinson smart sensory cues for older users) project, which designs and tests an innovative haptic biofeedback system based on a wireless body sensor network using a smartphone and different smartwatches specifically designed to rehabilitate postural disturbances in persons with Parkinson’s disease. According to the scientific literature on the use of smart devices to transmit sensory cues, vibrotactile feedback (particularly on the trunk) seems promising for improving people’s gait and posture performance; they have been used in different environments and are well accepted by users. In the PASSO project, we designed and developed a wearable device and a related system to transmit vibrations to a person’s body to improve posture and combat impairments like Pisa syndrome and camptocormia. Specifically, this paper describes the methodologies and strategies used to design, develop, and test wearable prototypes and the mHealth system. The results allowed a multidisciplinary comparison among the solutions, which led to prototypes with a high degree of usability, wearability, accessibility, and effectiveness. This mHealth system is now being used in pilot trials with subjects with Parkinson’s disease to verify its feasibility among patients.

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“…Postural control is one of the most important capacity for the elderly. Multiple studies have found that postural control plays a crucial role in keeping balance and preventing falls [9][10][11]. Cardiopulmonary endurance is also regarded as one of the most important capacity for older individuals.…”

Section: Introductionmentioning

confidence: 99%

Age score for assessing motor function in Chinese older men

2020

JOMH

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Background and objective: Motor performance plays an important role in daily activities for older adults. The purpose of the study was to construct a method for measuring physical fitness age that can be used to assess motor performance in elderly men and to verify its validity. Methods: Four items of physical fitness including grip strength, balancing on one leg with eyes open, 30 s chair stand test and 6 min walk test were selected and measured in a random order. Principal component analysis was employed to build physical fitness age based on motor performance variables from 94 elderly men with a mean age of 71.20 ± 5.05 years. Physical fitness age = 115.516-0.652 × grip strength - 0.142 × balancing on one leg with eyes open - 0.839 × 30 s chair stand - 0.061 × 6 min walk distance + 0.541 × chronological age. Results: Validation test from 13 men with exercise habit and 12 men without exercise habit showed that the physical fitness age in the exercised adults was significantly lower than its chronological age (63.91 ± 5.40 vs. 70.92 ± 4.17, P < 0.001), while no significant difference was observed between physical fitness age and chronological age in the elderly without exercise habits (71.23 ± 7.49 vs. 70.83 ± 5.19, P = 0.646). Conclusion: Physical fitness age is a valid indicator to evaluate and monitor motor performance. Participation in physical exercise may lower the physical fitness age by improving motor performance.

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Vibrotactile Feedback Alters Dynamics Of Static Postural Control In Persons With Parkinson’s Disease But Not Older Adults At High Fall Risk

Cited by 14 publications

References 25 publications

Versatile GCH Control Software for Correction of Loads Applied to Forearm Crutches During Gait Recovery Through Technological Feedback: Development and Implementation Study

Versatile GCH Control Software for Correction of Loads Applied to Forearm Crutches During Gait Recovery Through Technological Feedback: Development and Implementation Study

User-Centered Design Methodologies for the Prototype Development of a Smart Harness and Related System to Provide Haptic Cues to Persons with Parkinson’s Disease

Age score for assessing motor function in Chinese older men

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