ORCID Profile
0000-0003-3497-6725
Current Organisation
University of Southampton
Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the Feedback Form.
Publisher: SAGE Publications
Date: 2020
Publisher: Ovid Technologies (Wolters Kluwer Health)
Date: 07-2017
DOI: 10.1097/NPT.0000000000000183
Abstract: Stroke, predominantly a condition of older age, is a major cause of acquired disability in the global population and puts an increasing burden on health care resources. Clear evidence for the importance of intensity of therapy in optimizing functional outcomes is found in animal models, supported by neuroimaging and behavioral research, and strengthened by recent meta-analyses from multiple clinical trials. However, providing intensive therapy using conventional treatment paradigms is expensive and sometimes not feasible because of social and environmental factors. This article addresses the need for cost-effective increased intensity of practice and suggests potential benefits of telehealth (TH) as an innovative model of care in physical therapy. We provide an overview of TH and present evidence that a web-supported program, used in conjunction with constraint-induced therapy (CIT), can increase intensity and adherence to a rehabilitation regimen. The design and feasibility testing of this web-based program, “LifeCIT,” is presented. We describe how wearable sensors can monitor activity and provide feedback to patients and therapists. The methodology for the development of a wearable device with embedded inertial and mechanomyographic sensors, algorithms to classify functional movement, and a graphical user interface to present meaningful data to patients to support a home exercise program is explained. We propose that wearable sensor technologies and TH programs have the potential to provide most-effective, intensive, home-based stroke rehabilitation.
Publisher: Informa UK Limited
Date: 27-04-2022
DOI: 10.1080/09638288.2022.2065542
Abstract: Post-stroke survivors report that feedback helps to increase training motivation. A wearable system (M-MARK), comprising movement and muscle sensors and providing feedback when performing everyday tasks was developed. The objective reported here was to create an evidence-based set of upper-limb tasks for use with the system. Data from two focus groups with rehabilitation professionals, ten interviews with stroke survivors and a review of assessment tests were synthesized. In a two-stage process, suggested tasks were screened to exclude non-tasks and complex activities. Remaining tasks were screened for suitability and entered into a categorization matrix. Of 83 suggestions, eight non-tasks, and 42 complex activities were rejected. Of the remaining 33 tasks, 15 were rejected: five required fine motor control eight were too complex to standardize one because the role of hemiplegic hand was not defined and one involved water. The review of clinical assessment tests found no additional tasks. Eleven were ultimately selected for testing with M-Mark. Using a task categorization matrix, a set of training tasks was systematically identified. There was strong agreement between data from the professionals, survivors and literature. The matrix populated by tasks has potential for wider use in upper-limb stroke rehabilitation. IMPLICATIONS FOR REHABILITATIONRehabilitation technologies that provide feedback on quantity and quality of movements can support independent home-based upper limb rehabilitation.Rehabilitation technology systems require a library of upper limb tasks at different levels for people with stroke and therapists to choose from.A user-defined and evidence-based set of upper limb tasks for use within a wearable sensor device system have been developed.
Publisher: SAGE Publications
Date: 15-05-2019
Abstract: The Stroke Recovery and Rehabilitation Roundtable (SRRR) meetings bring together an international group of preclinical and clinical researchers along with statisticians, methodologists, funders and consumers, working to accelerate the development of effective treatments for stroke recovery and to support best-evidence uptake in rehabilitation practice. The first meeting (2016) focused on four recommendation areas: translation of preclinical evidence into human discovery trials recovery biomarkers to provide knowledge of therapeutic targets and prognosis in human stroke intervention development, monitoring, and reporting standards and standardized measurement in motor recovery trials. The impact of SRRR is growing, with uptake of recommendations emerging, and funders exploring ways to incorporate research targets and recommendations. At our second meeting (SRRR2, 2018), we worked on new priority areas: (1) cognitive impairment, (2) standardizing metrics for measuring quality of movement, (3) improving development of recovery trials, and (4) moving evidence-based treatments into practice. To accelerate progress towards breakthrough treatments, formation of an International Stroke Recovery and Rehabilitation Alliance is our next step, where working groups will take recommendations and build partnerships needed to achieve our goals.
Publisher: Informa UK Limited
Date: 2005
DOI: 10.1080/09638280400014683
Abstract: To review and characterise biomechanical approaches for the measurement of spasticity as one component of the upper motor neurone syndrome. Systematic literature searches based on defined constructs and a four-step review process of approaches used or described to measure spasticity, its association with function or associated phenomena. Most approaches were limited to in idual joints and therefore, to reflect this trend, references were grouped according to which body joint(s) were investigated or whether it addressed a functional activity. For each joint, references were further sub- ided into the types of measurement method described. A database of 335 references was established for the review process. The knee, ankle and elbow joints were the most popular, perhaps reflecting the assumption that they are mono-planar in movement and therefore simpler to assess. Seven measurement methods were identified: five involving passive movement (manual, controlled displacement, controlled torque, gravitational and tendon tap) and two involving active movement (voluntary and functional). Generally, the equipment described was in an experimental stage and there was a lack of information on system properties, such as accuracy or reliability. Patient testing was either by cohort or case studies. The review also conveyed the myriad of interpretations of the concept of spasticity. Though biomechanical approaches provide quantitative data, the review highlighted several limitations that have prevented them being established as an appropriate method for clinical application to measure spasticity.
Location: United Kingdom of Great Britain and Northern Ireland
No related grants have been discovered for Jane Burridge.