Background Recent advances in wearable sensor technologies enable objective and long-
term monitoring of motor activities in a patient's habitual environment. People with mobility …

Purpose To address the gap in the literature and clarify the expanding role of wearable
sensor data in stroke rehabilitation, we summarized the methods for upper extremity (UE) …

In this paper, we present a deep learning framework “Rehab-Net” for effectively classifying
three upper limb movements of the human arm, involving extension, flexion, and rotation of …

Objective To investigate the usefulness of inertial measurement units (IMUs) in the
assessment of motor function of the upper limb (UL) in accordance with the international …

Abstract Purpose of Review Measurements obtained during real-world activity by wearable
motion sensors may contribute more naturalistic accounts of clinically meaningful changes …

Optimal recovery of arm function following stroke requires patients to perform a large
number of functional arm movements in clinical therapy sessions, as well as at home …

Background Objective evaluation of people with amyotrophic lateral sclerosis (PALS) in free-
living settings is challenging. The introduction of portable digital devices, such as wearables …

Abstract Knowledge of upper limb activity in the natural environment is critical for evaluating
the effectiveness of rehabilitation services. Wearable sensors allow efficient collection of …

Background Current validated tools to measure upper limb dysfunction after breast cancer
treatment, such as questionnaires, are prone to recall bias and do not enable comparisons …

Hand washing is an effective countermeasure to the spread of many types of infection.
Recently, sensing technology has automated the sampling and study of hand hygiene rates …