Assessment of Balance Disorders

Gandolfi, Marialuisa; Geroin, Christian; Picelli, Alessandro; Smania, Nicola; Bartolo, Michelangelo

doi:10.1007/978-3-319-72736-3_3

Cited by 6 publications

(12 citation statements)

References 82 publications

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Section: Static and Dynamic Posturographymentioning

confidence: 99%

“…Posturography refers to the instrumental assessment of balance [77][78][79] under static or dynamic conditions [80,81]. Static posturography examines body postural sway while subjects maintain a static stance on a non-movable surface [79,81]. During the upright stance, the human body can be considered an unstable system in which force gravity and body inertia generate torques to be balanced [82].…”

Section: Static and Dynamic Posturographymentioning

confidence: 99%

“…The predictability/unpredictability of a specific perturbation allows the experimental investigation of reactive or anticipatory postural strategies [105,106,109]. Mechanical perturbations are often merged with visual, vestibular, and proprioceptive disturbances such as visual scene movements, imposed head accelerations, galvanic vestibular stimulation, and tendon vibration [81,85,89,110,111]. The most common tests used are the Sensory Organization Test (SOT) [112], the Motor Control Test (MCT) [113], and the Adaptation Test (AT) [81].…”

Section: Static and Dynamic Posturographymentioning

confidence: 99%

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Fifteen Years of Wireless Sensors for Balance Assessment in Neurological Disorders

Zampogna

Mileti

Palermo

et al. 2020

Sensors

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Balance impairment is a major mechanism behind falling along with environmental hazards. Under physiological conditions, ageing leads to a progressive decline in balance control per se. Moreover, various neurological disorders further increase the risk of falls by deteriorating specific nervous system functions contributing to balance. Over the last 15 years, significant advancements in technology have provided wearable solutions for balance evaluation and the management of postural instability in patients with neurological disorders. This narrative review aims to address the topic of balance and wireless sensors in several neurological disorders, including Alzheimer’s disease, Parkinson’s disease, multiple sclerosis, stroke, and other neurodegenerative and acute clinical syndromes. The review discusses the physiological and pathophysiological bases of balance in neurological disorders as well as the traditional and innovative instruments currently available for balance assessment. The technical and clinical perspectives of wearable technologies, as well as current challenges in the field of teleneurology, are also examined.

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Section: Static and Dynamic Posturographymentioning

confidence: 99%

Section: Static and Dynamic Posturographymentioning

confidence: 99%

Section: Static and Dynamic Posturographymentioning

confidence: 99%

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Fifteen Years of Wireless Sensors for Balance Assessment in Neurological Disorders

Zampogna

Mileti

Palermo

et al. 2020

Sensors

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“…As a secondary effect, the pandemic has made it particularly difficult for the pathological populations needing regular physical therapy and rehabilitation sessions to receive treatment. This can cause a deterioration of physical health in low-mobility patients, leading them to be more prone to falls and injuries ( Visser et al, 2008 ; Levinger et al, 2017 ; Gandolfi et al, 2018 ). In addition, COVID-19 has also caused prolonged immobilization of patients within the hospital environment, leading researchers and medical professionals to brainstorm proper treatment protocols for these “secondary” mobility ailments ( Iannaccone et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

“…This interconnectedness is why balance assessment within motor rehabilitation is critical to understanding the components of falling and how to prevent injury due to falls. Poor balance capabilities are among the leading causes for falls in the elderly ( Visser et al, 2008 ; Levinger et al, 2017 ; Gandolfi et al, 2018 ), often resulting in limited mobility and reduced engagement in physical activities. Balance assessment methods are useful in helping practitioners determine the proper customized rehabilitation plan for their patients and allow researchers to develop better technology to conduct these assessments.…”

Section: Introductionmentioning

confidence: 99%

A Computational Framework Towards the Tele-Rehabilitation of Balance Control Skills

Akbaş

Mummolo

2021

Front. Robot. AI

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Mobility has been one of the most impacted aspects of human life due to the spread of the COVID-19 pandemic. Home confinement, the lack of access to physical rehabilitation, and prolonged immobilization of COVID-19-positive patients within hospitals are three major factors that affected the mobility of the general population world-wide. Balance is one key indicator to monitor the possible movement disorders that may arise both during the COVID-19 pandemic and in the coming future post-COVID-19. A systematic quantification of the balance performance in the general population is essential for preventing the appearance and progression of certain diseases (e.g., cardiovascular, neurodegenerative, and musculoskeletal), as well as for assessing the therapeutic outcomes of prescribed physical exercises for elderly and pathological patients. Current research on clinical exercises and associated outcome measures of balance is still far from reaching a consensus on a “golden standard” practice. Moreover, patients are often reluctant or unable to follow prescribed exercises, because of overcrowded facilities, lack of reliable and safe transportation, or stay-at-home orders due to the current pandemic. A novel balance assessment methodology, in combination with a home-care technology, can overcome these limitations. This paper presents a computational framework for the in-home quantitative assessment of balance control skills. Novel outcome measures of balance performance are implemented in the design of rehabilitation exercises with customized and quantifiable training goals. Using this framework in conjunction with a portable technology, physicians can treat and diagnose patients remotely, with reduced time and costs and a highly customized approach. The methodology proposed in this research can support the development of innovative technologies for smart and connected home-care solutions for physical therapy rehabilitation.

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Changes in the sensorimotor system and semitendinosus muscle morphometry after arthroscopic anterior cruciate ligament reconstruction: a prospective cohort study with 1-year follow-up

Gandolfi

Ricci

Sambugaro

et al. 2018

Knee Surg Sports Traumatol Arthrosc

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Assessment of Balance Disorders

Cited by 6 publications

References 82 publications

Fifteen Years of Wireless Sensors for Balance Assessment in Neurological Disorders

Fifteen Years of Wireless Sensors for Balance Assessment in Neurological Disorders

A Computational Framework Towards the Tele-Rehabilitation of Balance Control Skills

Changes in the sensorimotor system and semitendinosus muscle morphometry after arthroscopic anterior cruciate ligament reconstruction: a prospective cohort study with 1-year follow-up

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