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Introduction: The number of Australian residents with dementia is projected to double by 2058, with 28% currently being migrants from non-Anglophone countries. There will be growing demand for professional interpreters for cognitive assessments and dementia-related health consultations in the future. Interpreting cognitive assessments can be challenging for interpreters; inaccurate interpreting can influence assessment outcomes. The Improving Interpreting for Dementia Assessments (MINDSET) project will upskill interpreters through an online training course in dementia and cognitive assessments. The training has been co-designed with key stakeholders from the interpreting sector, dementia-related services, and family caregivers, and has been user-tested with 12 interpreters. The training aims to improve the quality of interpreter-mediated communication during cognitive assessments, and thereby improve the accuracy and acceptability of cognitive assessments with older people who have limited English proficiency., Methods: We are conducting a single-blinded randomized controlled trial to evaluate the effectiveness of the training. We aim to enroll 150 interpreters, and allocate them to equal parallel groups. The intervention group will receive access to the MINDSET training, which comprises 4 hours of resources covering five domains: dementia knowledge, cross-cultural communication, briefings and debriefings, interpreting skills, and interpreting ethics. The control group will be assigned to a wait list, and will receive access to the training after the trial. Participants will be assessed according to the five domains, via the Dementia Knowledge and Assessment Scale, multiple-choice questions, video-simulated assessments, and ethical scenarios. Assessments will occur at baseline (prior to the intervention group completing the training), 3 months after enrollment, and 6 months after enrollment., Results: The trial is ongoing. Recruitment began in June 2022., Discussion: This is the first time a training resource for interpreters in dementia has been trialed. If successful it may represent a technologically innovative way to offer training to both trainee and practicing interpreters., Highlights: Interpreters are crucial in facilitating cognitive assessments for allophone speakers.Interpreters would benefit from training to improve assessment accuracy.Our study has co-designed specialized dementia training for interpreters.This is a protocol to evaluate the training's efficacy in a randomized controlled trial., Competing Interests: Bianca Brijnath is the PrinciplalInvestigator. Andrew Gilbert is Project Manager. Erika Gonzalez, Jim Hlavac, Joanne Enticott, Robyn Woodward‐Kron, Dina LoGiudice, Lee‐Fay Low, Josefine Antoniades, Jenni White, Kerry Hwang, and Xiaoping Lin are members of the Executive Committee. The following organizations have contributed either financial or in‐kind support to the MINDSET project: National Health and Medical Research Council (NHMRC), National Accreditation Authority for Translators and Interpreters (NAATI), Australian Institute of Interpreters and Translators (AUSIT), Dementia Australia, NSW Health Care Interpreting Service, All Graduates Interpreting and Translation Services, Translating and Translation and Interpreting Service (TIS National), Televic, and the Migrant and Refugee Health Partnership. Erika Gonzalez is National President of AUSIT. Lee‐Fay Low has received the NHMRC Boosting Dementia Leadership Development Fellowship to support work on the MINDSET study, and has received other grant funding from Dementia Australia. Bianca Brijnath, Josefine Antoniades, and Andrew Gilbert have received other grant funding from the NHMRC. All authors have no other relationships/activities/interests to disclose related to the content of this submission. Author disclosures are available in the supporting information., (© 2022 The Authors. Alzheimer's & Dementia: Translational Research & Clinical Interventions published by Wiley Periodicals LLC on behalf of Alzheimer's Association.)

Continuous myoelectric prediction of intended limb dynamics has the ability to provide transparent control of a prosthesis by the user. However, the impact on these models of adding a human user into the control loop is less clear. Here, the ability of a User Response Model (URM) to continuously predict EMG activity from gait kinematics and kinetics collected during three mobility tasks (level-ground walking, stair ascent, and stair descent) was examined. Multiple-input, multiple-output NARX-based URMs were developed with two outputs (ankle plantarflexor and dorsiflexor) and variable inputs (ankle kinetics, and shank and/or ankle kinematics). Accuracy in predicting the tibialis anterior and medial gastrocnemius EMG was comparable across URMs regardless of the number of inputs. Stair descent had the lowest accuracy among the mobility tasks. No significant differences in normalized root-mean-square error and cross-correlation were found between URMs with five and nine inputs. A URM that continuously predicts EMG activity from gait kinetics and kinematics could be used to simulate human-in-the-loop myoelectric control of a transtibial prosthesis and examine the stability of the system to changes in the environment or due to control errors.