Automated motion sensor quantification of gait and lower extremity bradykinesia

Abstract

The objective was to develop and evaluate algorithms for quantifying gait and lower extremity bradykinesia in patients with Parkinson’s disease using kinematic data recorded on a heel-worn motion sensor unit. Subjects were evaluated by three movement disorder neurologists on four domains taken from the Movement Disorders Society Unified Parkinson’s Disease Rating Scale while wearing the motion sensor unit. Multiple linear regression models were developed based on the recorded kinematic data and clinician scores and produced outputs highly correlated to clinician scores with an average correlation coefficient of 0.86. The newly developed models have been integrated into a home-based system for monitoring Parkinson’s disease motor symptoms.

Automatic UPDRS Evaluation in the Sit-to-Stand Task of Parkinsonians: Kinematic Analysis and Comparative Outlook on the Leg Agility Task

“…The LA task aims at evaluating the severity of motion impairments of a PD patient, with specific focus on the lower limbs [9]- [11]. In this exercise, the patient is asked to sit on a chair provided with rigid backrest and armrests.…”

On the correlation between UPDRS scoring in the leg agility, sit-to-stand, and gait tasks for parkinsonians

“…In the following Subsections II-C1-II-C3, a brief description of the most significant features identified in each task is presented. 3 In the G task, the patient with UPDRS score equal to 3 walks with the help of a walker. The trial has been however included in the following analysis because the associated gait features are consistent with those measured for the patients belonging the other UPDRS classes and are representative of the actual level of impairments of the patient.…”

“…The measured variables can be used directly by neurologists to achieve a more objective evaluation of patients' symptoms or to train proper e-health systems, with the aim to automatically assess the clinical trials, trying to match as much as possible the medical evaluation criteria. For PD patients, motor tasks such as Leg Agility (LA) [1], [3], [4], Sit-to-Stand (S2S) [5], [6], Gait (G) [7]- [9], and tremors [10] have been evaluated. In the literature, most of the works in this field focus on specific aspects of single UPDRS tasks and, for the best of our knowledge, limited attention has been devoted to investigate the relationships between different motor tasks quantitatively characterized through the same motion capture technology.…”

A holistic approach to assess the feasability of telehealth for Parkinson's disease management

“…Heldman et al (2012) developed and evaluated the algorithms for quantifying gait and lower extremity bradykinesia in PD patients using kinematic data recorded on a heel-worn motion sensor unit [359]. Multiple linear regression models were developed showing average correlation coefficient of 0.86 respect to clinicians' assessments.…”

“…(2012) developed and evaluated the algorithms for quantifying gait and lower extremity bradykinesia using kinematic data recorded on a heel-worn motion sensor unit. Multiple linear regression models were developed and clinician scores and produced outputs highly correlated to clinician scores with an average correlation coefficient of 0.86 [359]. Mera et al (2011) used a wireless finger-worn motion sensor for automated tremor and bradykinesia severity score assessments.…”