Background: Classical posturography techniques have been recently enhanced by the use of different motion tracking devices, but for technical reasons they are not used to track directly the body spatial position of a subject.
Objective: To describe and clinically evaluate a wireless inertial measurement unit-based mobile system to track body position changes.
Methods: The developed system used a calculus transformation method using the acceleration data corrected by Kalman and Butterworth filters to output position data. A prospective non-randomized clinical study involving 15 healthy subjects was performed to evaluate the agreement between the confidence ellipse areas synchronously measured by the new developed system and a classical posturography system while performing a modified clinical test of sensory interaction in balance.
Results: The overall intra-class correlation index was 0.93 (CI 0.89, 0.96). Grouped by conditions, under conditions 1-4, Pearson's correlation was 0.604, 0.78, 0.882, and 0.81, respectively.
Conclusion: The developed wireless inertial measurement unit-based posturography system was valid for tracking the sway variances in normal subjects under habitual clinical testing conditions. Further studies are needed to validate this system on patients and also under other posture conditions.
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http://dx.doi.org/10.1007/s00405-019-05607-1 | DOI Listing |
Bioengineering (Basel)
January 2025
Human Performance Laboratory, Centre of Space Bio-Medicine, Department of Medicine Systems, University of Rome Tor Vergata, 00133 Rome, Italy.
Traditional methods for evaluating tennis technique, such as visual observation and video analysis, are often subjective and time consuming. On the other hand, a quick and accurate assessment can provide immediate feedback to players and contribute to technical development, particularly in less experienced athletes. This study aims to validate the use of a single inertial measurement system to assess some relevant technical parameters of amateur players.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Physical Therapy, Faculty of Medicine, Universidad de Chile, Independencia 1027, Independencia, 8380453, Chile.
The characteristics of spontaneous movements in infants are essential for the early detection of neurological pathologies, with the Prechtl method being a widely recognized approach. While the Prechtl method is effective in predicting motor risks, its reliance on the evaluator's expertise limits its scalability, particularly in low-income areas. In such contexts, the use of inertial sensors combined with automated analysis presents a promising accessible alternative; however, more research is necessary to get results comparable to those of the Precht method.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
December 2024
Department of Applied Physical Sciences, University of North Carolina, Chapel Hill, NC 27599.
Neuromuscular diseases pose significant health and economic challenges, necessitating innovative monitoring technologies for personalizable treatment. Existing devices detect muscular motions either indirectly from mechanoacoustic signatures on skin surface or via ultrasound waves that demand specialized skin adhesion. Here, we report a wireless wearable system, Laryngeal Health Monitor (LaHMo), designed to be conformally placed on the neck for continuously measuring movements of underlying muscles.
View Article and Find Full Text PDFSci Data
November 2024
Non-invasive Brain-Machine Interface Systems Laboratory, IUCRC BRAIN, University of Houston, Houston, Texas, USA.
This report contains a description of physiological and motion data, recorded simultaneously and in synchrony using the hyperscanning method from two professional dancers using wireless mobile brain-body imaging (MoBI) technology during rehearsals and public performances of "LiveWire" - a new composition comprised of five choreographed music and dance sections inspired by neuroscience principles. Brain and ocular activity were measured using 28-channel scalp electroencephalography (EEG), and 4-channel electrooculography (EOG), respectively; and head motion was recorded using an inertial measurement unit (IMU) placed on the forehead of each dancer. Video recordings were obtained for each session to allow for tagging of physiological and motion signals and for behavioral analysis.
View Article and Find Full Text PDFMov Disord Clin Pract
November 2024
Department of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota, USA.
Background: While deep brain stimulation (DBS) targeting the ventral intermediate nucleus (VIM) of thalamus or posterior subthalamic area (PSA) can suppress forms of action tremor in people with Essential Tremor, previous studies have suggested postural tremor may respond more robustly than kinetic tremor to DBS.
Objectives: In this study, we aimed to more precisely quantify the (1) onset/offset dynamics and (2) steady-state effects of VIM/PSA-DBS on postural and kinetic tremor.
Methods: Tremor data from wireless inertial measurement units were collected from 11 participants with ET (20 unilaterally assessed DBS leads).
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