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 …

[HTML][HTML] Development and clinical evaluation of a web-based upper limb home rehabilitation system using a smartwatch and machine learning model for chronic …

SH Chae, Y Kim, KS Lee, HS Park - JMIR mHealth and uHealth, 2020 - mhealth.jmir.org
Background: Recent advancements in wearable sensor technology have shown the
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

J Wu, H Cheng, J Zhang, Z Bai, S Cai - Neurological Sciences, 2021 - Springer
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 …

A task performance-based sEMG-driven variable stiffness control strategy for upper limb bilateral rehabilitation system

Z Yang, S Guo, Y Liu, M Kawanishi… - … /ASME Transactions on …, 2022 - ieeexplore.ieee.org
Bilateral rehabilitation robotics can allow hemiplegia patients to regain the cooperative
capabilities of both arms by synchronized coordination movements. Furthermore, the …

Quantifying upper limb motor impairment in chronic stroke: a physiological profiling approach

LA Ingram, AA Butler, MA Brodie… - Journal of Applied …, 2021 - journals.physiology.org
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 …

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 …

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 …

Network meta-analysis of non-conventional therapies for improving upper limb motor impairment poststroke

M Saikaley, G Pauli, H Sun, JR Serra, J Iruthayarajah… - Stroke, 2022 - Am Heart Assoc
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 …

A home-based bilateral rehabilitation system with sEMG-based real-time variable stiffness

Y Liu, S Guo, Z Yang, H Hirata… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
Bilateral rehabilitation allows patients with hemiparesis to exploit the cooperative
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 …