Stroke is one of the most common neurologic injuries worldwide. Over decades, evidence-based neurorehabilitation research and advancements in wireless, wearable sensor design have supported the deployment of technologies to facilitate recovery after stroke. Surface electromyography (sEMG) is one such technology, however, clinical application remains limited. To understand this translational practice gap and improve clinical uptake, it is essential to include stakeholder voices in an analysis of neurorehabilitation practice, the acceptability of current sEMG technologies, and facilitators and barriers to sEMG use in the clinic and the community. The purpose of this study was to foreground the perspectives of stroke survivors to gain a better understanding of their experiences in neurorehabilitation, the technologies they have used during their recovery, and their opinions of lab-designed and commercially-available sEMG systems. A qualitative, phenomenological study was completed. In-depth, semi-structured interviews were conducted with eight stroke survivors (age range 49-78 years, 6 months to 12 years post-stroke) and two caregivers from a large metropolitan region. A demonstration of four sEMG systems was provided to gather perceptions of sensor design, features and function, and user interface. Interviews were audio-recorded, transcribed verbatim, and coded for analysis using constant comparison until data saturation was reached. Three themes emerged from the data: (1) "" highlights the recognition of sEMG as a valuable tool but reveals a lack of understanding and need for clear meaning from the data; (2) "" highlights the persistence of hope and potential benefit of sEMG in detecting small changes that may inform neurorehabilitation practice and policy; and (3) "" highlights the tension between optimizing therapy time and trying new technologies, managing cost, logistics and set-up, and desired technology features. Further translation of sEMG technology for neurorehabilitation holds promise for stroke survivors, but sEMG system design and user interface needs refinement. The process of using sEMG technology and products must be simple and provide meaningful insight to recovery. Including stroke survivors directly in translational efforts is essential to improve uptake in clinical environments.
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http://dx.doi.org/10.3389/fneur.2020.01037 | DOI Listing |
Cureus
December 2024
Neuroscience, Barking, Havering and Redbridge University Hospitals NHS Trust, London, GBR.
Stroke remains a leading cause of death globally, with survivors facing both physical and psychological challenges. While acute stroke treatment has improved, many patients develop post-stroke anxiety (PSA), particularly generalized anxiety disorder. PSA represents a significant clinical challenge as most stroke survivors suffer from it.
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December 2024
Pulmonary and Critical Care, Jackson Memorial Hospital, Miami, USA.
Cancer and antiphospholipid syndrome (APS) independently increase thrombotic risk, and their coexistence can create a particularly hazardous prothrombotic state. This case report aims to highlight the complex challenges in managing concurrent thrombotic and hemorrhagic events in patients with a history of cancer and APS. The combination of these conditions presents a rare and difficult clinical scenario, requiring careful consideration in anticoagulation management.
View Article and Find Full Text PDFFront Neurol
January 2025
Department of Neuroscience, School of Translational Medicine, Monash University, Melbourne, VIC, Australia.
Introduction: Stroke is a leading cause of adult disability, and the transition from hospital to home can be fraught with challenges. The HOME Rehab trial is designed to address if better health outcomes for stroke survivors can be achieved with a contextually relevant and tailored occupational therapy discharge planning and support intervention. Process evaluations inform clinical trial findings and future scale up, as well as how to implement a successful intervention effectively into policy and practice.
View Article and Find Full Text PDFProc Inst Mech Eng H
January 2025
Department of Biomedical Engineering, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India.
Assessing the kinematics of the upper limbs is crucial for rehabilitation treatment, especially for stroke survivors. Nowadays, researchers use computer vision-based algorithms for Human motion analysis. However, specific challenges include less accuracy, increased computational complexity and a limited number of anatomical key points.
View Article and Find Full Text PDFPilot Feasibility Stud
January 2025
School of Medicine, University of Limerick, Limerick, Ireland.
Background: Stroke has devastating consequences for survivors. Hypertension is the most important modifiable risk factor, and its management largely takes place in primary care. However, most stroke-based research does not occur in this setting.
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