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    17837 research outputs found

    Collaborative Learning for Incremental Classification of EMG Signals

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    In this work, we address the problem of online learning for electromyogram (EMG) classification. The main challenge of EMG is its streaming nature, which implies that not all data are available at once. As such, offline and batch methods such as deep learning are generally not appropriate for such small data. To address this problem, we propose an incremental learning technique whereby the algorithm enhances its knowledge about the data progressively, as it receives new data. Moreover, we propose to employ multiple learners (instead of a single learner); each learning and focusing on a specific class. This federated learning strategy in incremental learning shows superior performance over both existing incremental learning and deep learning methods in our simulation studies on small data

    Neural correlates of pain acceptance and the role of the cerebellum:Functional connectivity and anatomical differences in individuals with headaches versus matched controls

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    Background: Despite functional connectivity network dysfunction among indi-viduals with headaches, no studies have examined functional connectivity neuralcorrelates and anatomical differences in coping with headaches.Methods: This study investigated inter-individual variability in whole-brainfunctional connectivity and anatomical differences among 37 individuals withprimary headaches and 24 age- and gender-matched controls, and neural cor-relates of psychological flexibility (PF) that was previously found to contributeto headache adjustment. Participants (84% women; M headache severity = 4/10;M age = 43 years) underwent functional magnetic resonance imaging scans andcompleted questionnaires to examine global and subnetwork brain areas, andtheir relations with PF components, controlling for age, gender, education, andhead- motion.Results: Seed and voxel-based contrast analyses between groups showed atypicalfunctional connectivity of regions involved in pain matrix and core resting-statenetworks. Pain acceptance was the sole PF component that correlated with thecerebellum (x, y, z: 28, −72, −34, p-false discovery rate <0.001), where individualswith headaches showed higher grey matter density compared to controls.Conclusions: The cerebellum, recently implicated in modulating emotional andcognitive processes, was indicated to process information resembling what indi-viduals do when practicing pain acceptance. Our findings establish for the firsttime this connection of the cerebellum and its role in pain acceptance. We pro-pose that pain acceptance might be a behavioural biomarker target that couldmodulate problematic headache perceptions and brain networks abnormalities

    Schiller's Piano, co-created by Laurence Osborn and Zubin Kanga

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    This is a major Cyborg Soloists output, co-created by Laurence Osborn and Zubin Kanga. It is a concerto for piano/keyboards and chamber orchestra. The keyboards use samples of piano construction, which change across the piece. The work is a response to the construction of a replica of Schiller's Piano by prisoners at Buchenwald Concentration camp, and responds to the way Schiller's poetry and ideals were reappropriated by fascism. It also relates to the memory of the survivors of the camp, and was created in close collaboration with the Buchenwald Memorial, and features field recordings made in the workshop where the prisoners built the piano.The work was performed in Manchester and London (at the Southbank Centre) with Manchester Collective (one of the UK's leading ensembles). It had a combined audience of 1000 people, and was covered in national press, including The Telegraph, which stated "the piece was remarkable for the exquisite tact with which Osborn approached its emotive theme, a quality echoed in Kanga's self-abegnating performance"<br/

    Consensus of the definitions of the OMERACT glucocorticoid impact core domain set for people with rheumatic and musculoskeletal diseases

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    Background: The Outcome Measures in Rheumatology (OMERACT) Glucocorticoid (GC) Impact Working Grouphas been working to develop a core domain set to measure the impact of GCs on patients living with rheumaticand musculoskeletal diseases. The mandatory domains previously identified for inclusion in all clinical trialsmeasuring the GC effects include infection, bone fragility, mood disturbance, hypertension, diabetes, weight,fatigue, and mortality. Before progressing to instrument selection, the Working Group sought to establish precisedefinitions of all mandatory domains within the core domain set.Methods: OMERACT methodology was applied with the use of evidence and consensus-based decision making ofall stakeholder groups (patient research partners, health care professionals, clinician researchers, industrymembers and methodologists) to develop detailed definitions for the broad domain, target domain and domaincomponents, taking into consideration sources of variability that could affect measurement of the domain. Theworking group synthesized prior qualitative studies, quantitative work, and results from Delphi rounds, todevelop a rich definition of ‘what’ is to be measured.Results: Between 2021 and 2023, the OMERACT Working Group on GC Impact conducted virtual meetings toestablish domain definitions. First, we mapped each domain onto an OMERACT Core Area. All domains wereprimarily represented within the Pathophysiological Manifestations Core Area, except from Fatigue which wasprimarily Life Impact and Weight which spanned both Core Areas. Sources of variability included cultural factors, age, gender, education level, socioeconomic status, personal experiences, emotional state, and languagebarriers. The domain definitions will form the foundation for instrument selection and the initial step of domain /concept match and content validity in the OMERACT pillar of ‘truth’ before moving on to feasibility anddiscrimination.Conclusion: The OMERACT GC Impact Working Group has developed and agreed upon detailed domain definitions for core domains. Future steps of the working group are to select instruments and develop the core outcom

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