Gait analysis in neurological populations: Progression in the use of wearables
Gait assessment is an essential tool for clinical applications not only to diagnose different
neurological conditions but also to monitor disease progression as it contributes to the …
neurological conditions but also to monitor disease progression as it contributes to the …
Postural control and gait performance in the diabetic peripheral neuropathy: a systematic review
Purpose. The aim of this paper is to review the published studies on the characteristics of
impairments in the postural control and gait performance in diabetic peripheral neuropathy …
impairments in the postural control and gait performance in diabetic peripheral neuropathy …
A database of human gait performance on irregular and uneven surfaces collected by wearable sensors
Gait analysis has traditionally relied on laborious and lab-based methods. Data from
wearable sensors, such as Inertial Measurement Units (IMU), can be analyzed with machine …
wearable sensors, such as Inertial Measurement Units (IMU), can be analyzed with machine …
Multi-modal gait: A wearable, algorithm and data fusion approach for clinical and free-living assessment
Gait abnormalities are typically derived from neurological conditions or orthopaedic
problems and can cause severe consequences such as limited mobility and falls. Gait …
problems and can cause severe consequences such as limited mobility and falls. Gait …
Legged locomotion over irregular terrains: State of the art of human and robot performance
A Torres-Pardo, D Pinto-Fernández… - Bioinspiration & …, 2022 - iopscience.iop.org
Legged robotic technologies have moved out of the lab to operate in real environments,
characterized by a wide variety of unpredictable irregularities and disturbances, all this in …
characterized by a wide variety of unpredictable irregularities and disturbances, all this in …
Machine learning algorithms based on signals from a single wearable inertial sensor can detect surface-and age-related differences in walking
The aim of this study was to investigate if a machine learning algorithm utilizing triaxial
accelerometer, gyroscope, and magnetometer data from an inertial motion unit (IMU) could …
accelerometer, gyroscope, and magnetometer data from an inertial motion unit (IMU) could …
The impact of diabetic neuropathy on activities of daily living, postural balance and risk of falls-a systematic review
KS Khan, H Andersen - Journal of diabetes science and …, 2022 - journals.sagepub.com
Objective: The objective of this review is to discuss a compilation of the currently available
literature regarding the impact of diabetic neuropathy (DN) on activities of daily living (ADL) …
literature regarding the impact of diabetic neuropathy (DN) on activities of daily living (ADL) …
Walking barefoot vs. with minimalist footwear–influence on gait in younger and older adults
Background In recent years, minimalist footwear has been increasingly promoted for its use
in sportive and recreational activities. These shoes are considered to function naturally like …
in sportive and recreational activities. These shoes are considered to function naturally like …
Wearable inertial gait algorithms: impact of wear location and environment in healthy and Parkinson's populations
Wearable inertial measurement units (IMUs) are used in gait analysis due to their discrete
wearable attachment and long data recording possibilities within indoor and outdoor …
wearable attachment and long data recording possibilities within indoor and outdoor …
Mobile gait analysis via eSHOEs instrumented shoe insoles: a pilot study for validation against the gold standard GAITRite®
H Jagos, K Pils, M Haller, C Wassermann… - Journal of medical …, 2017 - Taylor & Francis
Clinical gait analysis contributes massively to rehabilitation support and improvement of in-
patient care. The research project eSHOE aspires to be a useful addition to the rich variety of …
patient care. The research project eSHOE aspires to be a useful addition to the rich variety of …