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17 results for “Motor Monitor”
Monipar Database: smartwatch movement data to monitor motor competency in subjects with Parkinson's disease
<p>Movement data was collected through smartwatches to monitor motor competence in subjects with Parkinson's Disease (PD). The data set collected for the Monipar study consists of triaxial acceleration data from 21 subjects with PD and 7 healthy control subjects when performing a set of physical exercises while wearing an off-the-shelf smartwatch. Each participant performed the complete set of eight exercises once a week, commonly on the same day and at a similar time. Three Matlab files are provided that contain the raw data of the experimental subgroups: (1) Supervised, (2) Remote, and (3) Healthy control. Additionally, two Matlab files are provided containing the Tremor Labels for selected subjects in the experimental subgroups: (1) Supervised and (2) Remote.</p><p>While the implementation of the experimental protocol for collecting movement data followed a consistent approach for all participants, three distinct experimental subgroups were established:</p><p>Remote group: This subgroup consisted of individuals diagnosed with Parkinson's disease (PD) who completed the experimental protocol at their regular PD association.</p><p>Supervised group: This subgroup comprised PD patients who underwent the experimental protocol under circumstances similar to the remote group. Additionally, clinical scoring (MDS-UPDRS) is reported for this group in the file "MONIPAR SUBJECTS DATA.xlsx"</p><p>Healthy control group: This subgroup consisted of healthy participants who performed exercises under the supervision of research project team members.</p><p>Data was collected using a sample rate of 50Hz and expressed in m/s^2.</p><p>Check the "Monipar_README.txt" file for details about this dataset. Further details are contained in the following reference -- if you use this dataset, please cite:</p><p>Sigcha, L., Polvorinos-Fernández, C., Costa, N., Costa, S., Arezes, P., Gago, M., ... & Pavón, I. "<strong>Monipar: Movement data collection tool to monitor motor symptoms in Parkinson's disease using smartwatches and smartphones</strong>". <i>Frontiers in Neurology</i>, <i>14</i>, 1326640. <a href="https://doi.org/10.3389/fneur.2023.1326640">https://doi.org/10.3389/fneur.2023.1326640</a></p><p>References:</p><p>Sigcha, L. et al. (2022). Bradykinesia Detection in Parkinson's Disease Using Smartwatches' Inertial Sensors and Deep Learning Methods. Sensors 11, 3879</p><p>Sigcha, L. et al. (2021). Automatic Resting Tremor Assessment in Parkinson's Disease Using Smartwatches and Multitask Convolutional Neural Networks. Sensors 21, 291.</p><p><strong>Funding:</strong></p><p>This research was funded by the following projects:</p><p>(1) "Tecnologías Capacitadoras para la Asistencia, Seguimiento y Rehabilitación de Pacientes con Enfermedad de Parkinson". Centro Internacional sobre el envejecimiento, CENIE (código 0348_CIE_6_E) Interreg V-A España-Portugal (POCTEP).</p><p>(2) FCT—Fundação para a Ciência e Tecnologia within the R&D Units Project Scope: UIDB/00319/2020.</p>
Functional Monitoring for Motor Pathway in Brain Tumor Surgery Within Eloquent Area
ClinicalTrials.gov study NCT01351337. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Dexmedetomidine on Intraoperative Somatosensory and Motor Evoked Potential Monitoring During Neurosurgery in Pediatric Patients
ClinicalTrials.gov study NCT01512147. IPD Sharing: Not stated. Countries: 1. Publications: 12.
Monitoring Everyday Life Motor Activity in Children
ClinicalTrials.gov study NCT02236091. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Train of Four Motor Point Stimulation and Monitoring
ClinicalTrials.gov study NCT02591108. IPD Sharing: NO. Countries: 0. Publications: 2.
On Track: Monitoring Development of Children With Cerebral Palsy or Gross Motor Delay
ClinicalTrials.gov study NCT02391948. IPD Sharing: NO. Countries: 2. Publications: 0.
The Effect of Sugammadex During Transcranial Electrical Motor Evoked Potential Monitoring in Spinal Surgery
ClinicalTrials.gov study NCT04471376. IPD Sharing: YES. Countries: 1. Publications: 0.
Data from: Quantification of the sit-to-stand movement for monitoring age-related motor deterioration using the Nintendo Wii Balance Board
Simple methods for quantitative evaluations of individual motor performance are crucial for the early detection of motor deterioration. Sit-to-stand movement from a chair is a mechanically demanding component of activities of daily living. Here, we developed a novel method using the ground reaction force and center of pressure measured from the Nintendo Wii Balance Board to quantify sit-to-stand movement (sit-to-stand score) and investigated the age-related change in the sit-to-stand score as a method to evaluate reduction in motor performance. The study enrolled 503 participants (mean age ± standard deviation, 51.0 ± 19.7 years; range, 20-88 years; male/female ratio, 226/277) without any known musculoskeletal conditions that limit sit-to-stand movement, which were divided into seven 10-year age groups. The participants were instructed to stand up as quickly as possible, and the sit-to-stand score was calculated as the combination of the speed and balance indices, which have a tradeoff relationship. We also performed the timed up and go test, a well-known clinical test used to evaluate an individual's mobility. There were significant differences in the sit-to-stand score and timed up and go time among age groups. The mean sit-to-stand score for 60s, 70s, and 80s were 77%, 68%, and 53% of that for the 20s, respectively. The timed up and go test confirmed the age-related decrease in mobility of the participants. In addition, the sit-to-stand score measured using the Wii balance board was compared with that from a laboratory-graded force plate using the Bland-Altman plot (bias = −3.1 [ms]-1, 95% limit of agreement: −11.0 to 3.9 [ms]-1). The sit-to-stand score has good inter-device reliability (intraclass correlation coefficient = 0.87). Furthermore, the test-retest reliability is substantial (intraclass correlation coefficient = 0.64). Thus, the proposed STS score will be useful to detect the early deterioration of motor performance.
Monitoring to the Evolution of Motor Function in SMA Type II Adults Patients Treated With SPINRAZA®
ClinicalTrials.gov study NCT04159987. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Wearable Sensors and Video Recordings to Monitor Motor Development
ClinicalTrials.gov study NCT03770832. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Performance of the Paragit Sleeve to Measure and Monitor Motor Symptoms in Patients With Parkinson's Disease
ClinicalTrials.gov study NCT06490861. IPD Sharing: Not stated. Countries: 1. Publications: 0.
NEOVIDEO : Impact of Monitoring Motor Activity by Video Analysis on the Sleep of Very Preterm Infants
ClinicalTrials.gov study NCT04624347. IPD Sharing: NO. Countries: 1. Publications: 0.
Propofol-Fentanyl-Dexmedetomidine and Propofol-Fentanyl-Sevoflurane Anesthesia for Major Spine Surgery Under Somato Sensory- and Motor- Evoked Potential Monitoring
ClinicalTrials.gov study NCT06210061. IPD Sharing: YES. Countries: 1. Publications: 0.
Real-time Monitoring of Motor Cortical Activity Induced by Low-frequency Repetitive Transcranial Magnetic Stimulation
ClinicalTrials.gov study NCT04019028. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Active NBS Study: Decentralised Monitoring Motor Development in Children With Duchenne Muscular Dystrophy or Spinal Muscular Atrophy Identified by Newborn Screening
ClinicalTrials.gov study NCT07286565. IPD Sharing: NO. Countries: 1. Publications: 0.
Brain Vital Signs M-Score: Point-of-care Monitoring for Motor Recovery After Stroke
ClinicalTrials.gov study NCT03858699. IPD Sharing: NO. Countries: 1. Publications: 0.
Data from: Quantification of the sit-to-stand movement for monitoring age-related motor deterioration using the Nintendo Wii Balance Board
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