The Rehapiano—Detecting, Measuring, and Analyzing Action Tremor Using Strain Gauges

Ferencik, Norbert; Jaščur, Miroslav; Bundzel, Marek; Cavallo, Filippo

doi:10.3390/s20030663

Cited by 8 publications

(10 citation statements)

References 46 publications

(48 reference statements)

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“…While wearable sensors have the advantage of monitoring patients in several situations, devices that do not require attachment to the patient are also useful while measuring behavioral tremors under specific conditions. This led to the development of Rehapiano, an ergonomically designed tremor evaluation device with strain gauges placed on a two-handed handle [ 79 ]. The performance evaluation also confirmed that the sensitivity was sufficient to quantify the tremor.…”

Section: Resultsmentioning

confidence: 99%

Diagnosis and Treatment of Tremor in Parkinson’s Disease Using Mechanical Devices

Fujikawa

Morigaki

Yamamoto

et al. 2022

Life

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Background: Parkinsonian tremors are sometimes confused with essential tremors or other conditions. Recently, researchers conducted several studies on tremor evaluation using wearable sensors and devices, which may support accurate diagnosis. Mechanical devices are also commonly used to treat tremors and have been actively researched and developed. Here, we aimed to review recent progress and the efficacy of the devices related to Parkinsonian tremors. Methods: The PubMed and Scopus databases were searched for articles. We searched for “Parkinson disease” and “tremor” and “device”. Results: Eighty-six articles were selected by our systematic approach. Many studies demonstrated that the diagnosis and evaluation of tremors in patients with PD can be done accurately by machine learning algorithms. Mechanical devices for tremor suppression include deep brain stimulation (DBS), electrical muscle stimulation, and orthosis. In recent years, adaptive DBS and optimization of stimulation parameters have been studied to further improve treatment efficacy. Conclusions: Due to developments using state-of-the-art techniques, effectiveness in diagnosing and evaluating tremor and suppressing it using these devices is satisfactorily high in many studies. However, other than DBS, no devices are in practical use. To acquire high-level evidence, large-scale studies and randomized controlled trials are needed for these devices.

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Section: Resultsmentioning

confidence: 99%

Diagnosis and Treatment of Tremor in Parkinson’s Disease Using Mechanical Devices

Fujikawa

Morigaki

Yamamoto

et al. 2022

Life

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“…Previous studies were based on classic load cell force sensors (Kruchinin et al, 2013;Safyannikov, Bureneva, Zhirnova, 2018;Blakemore et al, 2018;Christou et al, 2004;Ferenčík, Jaščur, Bundzel, & Cavallo, 2020).…”

Section: Discussionmentioning

confidence: 99%

Аппаратно-Программный Комплекс Для Проведения Тензотреморометрических Измерений В Психофизиологических Исследованиях

Белинский,

Девишвили,

Черноризов

et al. 2023

РПЖ

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Введение. Одним из методов оценки психоэмоциональных реакций (ПЭР) человека является измерение активности моторной системы. Для регистрации непроизвольных компонентов ПЭР традиционно используются методы измерения физиологического тремора. В работе приводится сравнительный анализ различных методов и методик регистрации тремора и предлагается описание нового устройства в форм-факторе ручки, оснащённой тензометрическими датчиками для оценки выраженности стрессовой ПЭР. Методы. Устройство включает в себя тензометрические датчики, подключённые к аппарату аналого-цифрового преобразования и микроконтроллеру для передачи сигнала на терминал администратора. Сигнал содержит данные тензотреморометрии по трём пальцам, скорректированные относительно нормального уровня силы (НУС) испытуемого. Получаемый сигнал разбивается на взаимопересекающиеся сегменты, которые затем фильтруются относительно частоты физиологического тремора, и анализируются с помощью критерия Эппса-Синглтона. Результаты. Апробирован план исследования, позволяющий определить степень выраженности стрессовой реакции с помощью предлагаемого устройства. Показано, что при подаче стрессового стимула изменения, регистрируемые на фоновой треморограмме, совпадают по времени с моментом предъявления стрессового стимула. Предлагается опытный образец программно-аппаратного комплекса для определения наличия ПЭР, базирующийся на методах регистрации и анализа данных тензотреморометрии. Обсуждение результатов. Формулируются предположения о специфике связи изменений треморограммы с характеристиками стрессора и предлагаются дальнейшие направления развития этой технологии.

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“…Researchers have utilized tools such as pens [ 25 – 30 ] with embedded IMUs and load cells to quantify tremor amplitude while users hold it, attach it to their hands, or write with it. An advantage of embedded sensor tools is their ability to identify different features in virtual tasks [ 31 – 33 ]. For example, the Virtual Peg Insertion Test (VPIT), based on the 9HPT [ 34 ] test, employs a manipulandum with force sensors in a virtual game environment and serves as a digital health metric for predicting the response to neurorehabilitation interventions in neurological disorders.…”

Section: Technologies For Tremor Assessmentmentioning

confidence: 99%

Upper limb intention tremor assessment: opportunities and challenges in wearable technology

Paredes-Acuna,

Utpadel-Fischler,

Ding

et al. 2024

J NeuroEngineering Rehabil

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Background Tremors are involuntary rhythmic movements commonly present in neurological diseases such as Parkinson's disease, essential tremor, and multiple sclerosis. Intention tremor is a subtype associated with lesions in the cerebellum and its connected pathways, and it is a common symptom in diseases associated with cerebellar pathology. While clinicians traditionally use tests to identify tremor type and severity, recent advancements in wearable technology have provided quantifiable ways to measure movement and tremor using motion capture systems, app-based tasks and tools, and physiology-based measurements. However, quantifying intention tremor remains challenging due to its changing nature. Methodology & Results This review examines the current state of upper limb tremor assessment technology and discusses potential directions to further develop new and existing algorithms and sensors to better quantify tremor, specifically intention tremor. A comprehensive search using PubMed and Scopus was performed using keywords related to technologies for tremor assessment. Afterward, screened results were filtered for relevance and eligibility and further classified into technology type. A total of 243 publications were selected for this review and classified according to their type: body function level: movement-based, activity level: task and tool-based, and physiology-based. Furthermore, each publication's methods, purpose, and technology are summarized in the appendix table. Conclusions Our survey suggests a need for more targeted tasks to evaluate intention tremors, including digitized tasks related to intentional movements, neurological and physiological measurements targeting the cerebellum and its pathways, and signal processing techniques that differentiate voluntary from involuntary movement in motion capture systems.

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The Rehapiano—Detecting, Measuring, and Analyzing Action Tremor Using Strain Gauges

Cited by 8 publications

References 46 publications

Diagnosis and Treatment of Tremor in Parkinson’s Disease Using Mechanical Devices

Diagnosis and Treatment of Tremor in Parkinson’s Disease Using Mechanical Devices

Аппаратно-Программный Комплекс Для Проведения Тензотреморометрических Измерений В Психофизиологических Исследованиях

Upper limb intention tremor assessment: opportunities and challenges in wearable technology

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