Advances in assessing myotonia: Can sensor-engineered glove have a role?

Portaro, Simona; Russo, Margherita; Naro, Antonino; Bramanti, Alessia; Bramantı, Placido; Rodolico, Carmelo; Calabrò, Rocco Salvatore

doi:10.1016/j.jns.2017.01.038

Cited by 5 publications

(4 citation statements)

References 27 publications

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“… a Range of CTG expansion: E1: 20–150; E2: 150–1000; E3: >1000. b CRS (Clinical rating scale) for Dystrophic Myotonia type 1 (DM1): 1 = presence of myotonia and/or mild functional weakness without functional impairment; 2 = moderate muscle weakness leading to some degree of functional impairment; 3 = muscle weakness with severe functional impairment and in some cases resulting in the subjects being bound to a wheelchair; 4 = bedridden. c MSS (myotonia severity scale) for DM1 from 0 (absence of myotonia) to 4 (the worst myotonia experienced) [37–39]. …”

Section: Methodsmentioning

confidence: 99%

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Toward a more personalized motor function rehabilitation in Myotonic dystrophy type 1: The role of neuroplasticity

et al. 2017

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Myotonic dystrophy type 1 (DM1) is the most prevalent adult muscular dystrophy, often accompanied by impairments in attention, memory, visuospatial and executive functions. Given that DM1 is a multi-system disorder, it requires a multi-disciplinary approach, including effective rehabilitation programs, focusing on the central nervous system neuroplasticity, in order to develop patient-tailored rehabilitative procedures for motor function recovery. Herein, we performed a transcranial magnetic stimulation (TMS) study aimed at investigating central motor conduction time, sensory-motor plasticity, and cortical excitability in 7 genetically defined DM1 patients. As compared to healthy individuals, DM1 patients showed a delayed central motor conduction time and an abnormal sensory-motor plasticity, with no alteration of cortical excitability. These findings may be useful to define patient-tailored motor rehabilitative programs.

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Section: Methodsmentioning

confidence: 99%

“… c MSS (myotonia severity scale) for DM1 from 0 (absence of myotonia) to 4 (the worst myotonia experienced) [37–39]. …”

Section: Methodsmentioning

confidence: 99%

Toward a more personalized motor function rehabilitation in Myotonic dystrophy type 1: The role of neuroplasticity

et al. 2017

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“…There are some new technologies appear in this area such as the sensor-engineered glove (SEG), which is proved to be an automated, non-invasive, quick, and easy technique for evaluating for many disabilities, is already used in the practice of the remote rehabilitation [13]. Take anther example, a wheelchair for people with disabilities must be a suitable seat according the user's buttocks pressure distribution.…”

Section: Remote Collecting Processing and Transmission Of Physiologimentioning

confidence: 99%

No distance between disabled people and rehabilitation engineer in high-tech era

Li¹

2017

Surg Rehabil

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Traditional face to face diagnosis and treatment model has existed for thousands of years between doctors and patients. But now high technologies have brought people great convenience in many fields. When the disabled people concerned, many technologies such as internet, remote sensing, signal processing, Virtual Reality and so on, are already playing an important role in rehabilitation engineering. This paper introduces these emergency new technologies associated with the disabled people and engineers in recent years, which can eliminate the psychological and space distance between disabled people and rehabilitation engineer in high-tech era.

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“…The software is commercially licensed, specific to the force transducer and does not allow modifications to include other measures for example, audio commands. Other approaches using dynamometry or a sensor glove either showed poor repeatability or did not measure grip force time series and the warm-up typical of myotonia [13][14][15] .…”

Section: Introductionmentioning

confidence: 99%

Simple and economical HandClench Relaxometer device for reliable and sensitive measurement of grip myotonia in myotonic dystrophy

Bulea

Gúth

Sarkar

et al. 2022

Neuromuscular Disorders

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Advances in assessing myotonia: Can sensor-engineered glove have a role?

Cited by 5 publications

References 27 publications

Toward a more personalized motor function rehabilitation in Myotonic dystrophy type 1: The role of neuroplasticity

Toward a more personalized motor function rehabilitation in Myotonic dystrophy type 1: The role of neuroplasticity

No distance between disabled people and rehabilitation engineer in high-tech era

Simple and economical HandClench Relaxometer device for reliable and sensitive measurement of grip myotonia in myotonic dystrophy

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