Publications by authors named "M Mico-Amigo"

Background: Wrist-worn inertial sensors are used in digital health for evaluating mobility in real-world environments. Preceding the estimation of spatiotemporal gait parameters within long-term recordings, gait detection is an important step to identify regions of interest where gait occurs, which requires robust algorithms due to the complexity of arm movements. While algorithms exist for other sensor positions, a comparative validation of algorithms applied to the wrist position on real-world data sets across different disease populations is missing.

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Article Synopsis
  • - The study evaluated the accuracy of a wearable device designed to estimate walking speed in individuals, including those with various health conditions and healthy older adults, over a 2.5-hour period in both laboratory and real-world settings.
  • - Results showed that the device's walking speed estimates had a mean absolute error ranging from 0.06 to 0.13 m/s, indicating good to excellent agreement with a multi-sensor reference system, particularly for participants without significant gait impairments.
  • - The findings underscore the importance of validating technology for clinical use, as accuracy varied with factors like task complexity and walking duration, suggesting the need for thorough testing before implementation in real-world mobility assessments.
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Background: Although digital mobility outcomes (DMOs) can be readily calculated from real-world data collected with wearable devices and ad-hoc algorithms, technical validation is still required. The aim of this paper is to comparatively assess and validate DMOs estimated using real-world gait data from six different cohorts, focusing on gait sequence detection, foot initial contact detection (ICD), cadence (CAD) and stride length (SL) estimates.

Methods: Twenty healthy older adults, 20 people with Parkinson's disease, 20 with multiple sclerosis, 19 with proximal femoral fracture, 17 with chronic obstructive pulmonary disease and 12 with congestive heart failure were monitored for 2.

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