194 results on '"Gazit, Eran"'
Search Results
2. A machine learning contest enhances automated freezing of gait detection and reveals time-of-day effects
3. Correction: Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium
4. Mobilise-D insights to estimate real-world walking speed in multiple conditions with a wearable device
5. Relation of gait measures with mild unilateral knee pain during walking using machine learning
6. Automated Mobility Context Detection with Inertial Signals
7. A robust walking detection algorithm using a single foot-worn inertial sensor: validation in real-life settings
8. Gait Alterations and Association With Worsening Knee Pain and Physical Function: A Machine Learning Approach With Wearable Sensors in the Multicenter Osteoarthritis Study
9. Associations of pain sensitivity and conditioned pain modulation with physical activity: findings from the Multicenter Osteoarthritis Study (MOST)
10. Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium
11. Mobility recorded by wearable devices and gold standards: the Mobilise-D procedure for data standardization
12. Stride Width Estimation in Individuals with and without Neurodegenerative Disease via a Novel Data-Augmentation Deep Learning Model and Minimal Wearable Inertial Sensors
13. Fragmentation, circadian amplitude, and fractal pattern of daily-living physical activity in people with multiple sclerosis: Is there relevant information beyond the total amount of physical activity?
14. Design and validation of a multi-task, multi-context protocol for real-world gait simulation
15. A wearable sensor and machine learning estimate step length in older adults and patients with neurological disorders
16. Discriminating between indoor and outdoor environments during daily living activities using local magnetic field characteristics and machine learning techniques
17. Dopaminergic therapy and prefrontal activation during walking in individuals with Parkinson’s disease: does the levodopa overdose hypothesis extend to gait?
18. Methods for Gait Analysis During Obstacle Avoidance Task
19. Changes in event-related potentials during dual task walking in aging and Parkinson's disease
20. Ecological validity of a deep learning algorithm to detect gait events from real-life walking bouts in mobility-limiting diseases
21. Using wearables to assess bradykinesia and rigidity in patients with Parkinson’s disease: a focused, narrative review of the literature
22. Real-World Gait Detection Using a Wrist-Worn Inertial Sensor: Validation Study (Preprint)
23. Digital Mobility Measures: A Window into Real‐World Severity and Progression of Parkinson's Disease.
24. The role of wrist-mounted inertial sensors in detecting gait freeze episodes in Parkinson’s disease
25. Feasibility and effects of home-based smartphone-delivered automated feedback training for gait in people with Parkinson's disease: A pilot randomized controlled trial
26. Is every-day walking in older adults more analogous to dual-task walking or to usual walking? Elucidating the gaps between gait performance in the lab and during 24/7 monitoring
27. A multi-sensor wearable system for gait assessment in real-world conditions: performance in individuals with impaired mobility
28. Acceptability of wearable devices for measuring mobility remotely: Observations from the Mobilise-D technical validation study
29. The Potential of Transcranial Alternating Current Stimulation to Alleviate Dual-Task Gait Costs in Older Adults: Insights from a Double-Blinded Pilot Study
30. sj-docx-1-dhj-10.1177_20552076221150745 - Supplemental material for Acceptability of wearable devices for measuring mobility remotely: Observations from the Mobilise-D technical validation study
31. Feature Learning for Detection and Prediction of Freezing of Gait in Parkinson’s Disease
32. Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium
33. Gait Detection from a Wrist-Worn Sensor Using Machine Learning Methods: A Daily Living Study in Older Adults and People with Parkinson’s Disease
34. An Algorithm for Accurate Marker-Based Gait Event Detection in Healthy and Pathological Populations During Complex Motor Tasks
35. Objective characterization of daily living transitions in patients with Parkinson’s disease using a single body-fixed sensor
36. Design and validation of a multi-task, multi-phase protocol for real-world gait simulation
37. Gait Alterations Associated With Mild Unilateral Knee Pain During Walking: a Machine Learning Approach Using Wearable Sensors
38. An Algorithm for Accurate Marker-Based Gait Event Detection in Healthy and Pathological Populations During Complex Motor Tasks
39. The Potential of Transcranial Alternating Current Stimulation to Alleviate Dual-Task Gait Costs in Older Adults: Insights from a Double-Blinded Pilot Study.
40. Changes in oxygenated hemoglobin link freezing of gait to frontal activation in patients with Parkinson disease: an fNIRS study of transient motor-cognitive failures
41. 010 - ASSOCIATION OF WEARABLE-SENSOR DERIVED GAIT MEASURES WITH CARTILAGE WORSENING OVER 2 YEARS IN THE MULTICENTER OSTEOARTHRITIS STUDY
42. A Quality Control Check to Ensure Comparability of Stereophotogrammetric Data between Sessions and Systems
43. Technical validation of real-world monitoring of gait: a multicentric observational study
44. A motor learning-based intervention to ameliorate freezing of gait in subjects with Parkinson’s disease
45. Quantification of Daily-Living Gait Quantity and Quality Using a Wrist-Worn Accelerometer in Huntington's Disease
46. Feature Learning for Detection and Prediction of Freezing of Gait in Parkinson’s Disease
47. Automatic Quantification of Tandem Walking Using a Wearable Device: New Insights Into Dynamic Balance and Mobility in Older Adults
48. Dopaminergic therapy and prefrontal activation during walking in individuals with Parkinson’s disease: does the levodopa overdose hypothesis extend to gait?
49. Using Wearable Sensors and Machine Learning to Automatically Detect Freezing of Gait during a FOG-Provoking Test
50. What happens before the first step? A New Approach to Quantifying Gait Initiation Using a Wearable Sensor
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