All-cause and cause-specific mortality among people with bipolar disorder: a large-scale systematic review and meta-analysis
TB Biazus, GH Beraldi, L Tokeshi, LS Rotenberg… - Molecular …, 2023 - nature.com
Objective Bipolar disorder (BD) is associated with premature mortality. All-cause and
specific mortality risks in this population remain unclear, and more studies are still needed to …
specific mortality risks in this population remain unclear, and more studies are still needed to …
[HTML][HTML] Development and clinical evaluation of a web-based upper limb home rehabilitation system using a smartwatch and machine learning model for chronic …
Background: Recent advancements in wearable sensor technology have shown the
feasibility of remote physical therapy at home. In particular, the current COVID-19 pandemic …
feasibility of remote physical therapy at home. In particular, the current COVID-19 pandemic …
The modulatory effects of bilateral arm training (BAT) on the brain in stroke patients: a systematic review
Objective To systematically review the modulatory effects of bilateral arm training (BAT) on
the brain of stroke patients in contrast to unilateral arm training (UAT) or regular motor …
the brain of stroke patients in contrast to unilateral arm training (UAT) or regular motor …
A task performance-based sEMG-driven variable stiffness control strategy for upper limb bilateral rehabilitation system
Bilateral rehabilitation robotics can allow hemiplegia patients to regain the cooperative
capabilities of both arms by synchronized coordination movements. Furthermore, the …
capabilities of both arms by synchronized coordination movements. Furthermore, the …
Quantifying upper limb motor impairment in chronic stroke: a physiological profiling approach
Upper limb motor impairments, such as muscle weakness, loss of dexterous movement, and
reduced sensation, are common after a stroke. The extent and severity of these impairments …
reduced sensation, are common after a stroke. The extent and severity of these impairments …
Predicting clinically significant motor function improvement after contemporary task-oriented interventions using machine learning approaches
HK Thakkar, W Liao, C Wu, YW Hsieh… - … of NeuroEngineering and …, 2020 - Springer
Background Accurate prediction of motor recovery after stroke is critical for treatment
decisions and planning. Machine learning has been proposed to be a promising technique …
decisions and planning. Machine learning has been proposed to be a promising technique …
EMG-controlled hand exoskeleton for assisted bilateral rehabilitation
BA De la Cruz-Sánchez, M Arias-Montiel… - Biocybernetics and …, 2022 - Elsevier
This article presents an electromyography (EMG) controlled hand exoskeleton for basic
movements in assisted bilateral therapy, where bimanual work is required by the user. The …
movements in assisted bilateral therapy, where bimanual work is required by the user. The …
Network meta-analysis of non-conventional therapies for improving upper limb motor impairment poststroke
Background: Network meta-analysis is a method that can estimate relative efficacy between
treatments that may not have been compared directly within the literature. The purpose of …
treatments that may not have been compared directly within the literature. The purpose of …
A home-based bilateral rehabilitation system with sEMG-based real-time variable stiffness
Bilateral rehabilitation allows patients with hemiparesis to exploit the cooperative
capabilities of both arms to promote the recovery process. Although various approaches …
capabilities of both arms to promote the recovery process. Although various approaches …
Brazilian Academy of Neurology practice guidelines for stroke rehabilitation: part I
C Minelli, R Bazan, MTA Pedatella… - Arquivos de neuro …, 2022 - SciELO Brasil
ABSTRACT The Guidelines for Stroke Rehabilitation are the result of a joint effort by the
Scientific Department of Neurological Rehabilitation of the Brazilian Academy of Neurology …
Scientific Department of Neurological Rehabilitation of the Brazilian Academy of Neurology …