e.g. mhealth
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Skip search results from other journals and go to results- 2 JMIR Formative Research
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Reference 19: How, when, and for whom: decisions regarding remote neuropsychological assessment during Reference 40: Neuropsychological assessment anxiety: a systematic review Reference 41: Patient satisfaction with telephone neuropsychological assessment Reference 63: Remote neuropsychological assessment: acceptability and feasibility of direct-to-home teleneuropsychology Reference 64: Remote versus face-to-face neuropsychological testing for dementia research: a comparativeneuropsychological tests neuropsychological
JMIR Form Res 2024;8:e58537
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Correlates of Mild Behavioral Impairment in Older Adults: Protocol for a Scoping Review
Recently, mild behavioral impairment (MBI), a neuropsychological syndrome that typically emerges later in life and can manifest across the entire predementia spectrum, has been introduced as a precursor to cognitive decline and dementia [21]. Prior to the development and implementation of preventive and supportive interventions for at-risk populations, it is essential to thoroughly understand MBI and its related factors that can influence multidimensional aspects of health in older adults.
JMIR Res Protoc 2024;13:e60009
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In contrast, “neuropsychological” refers to studying the relationship between brain function and behavior [24]. The primary focus of this study is on psychiatric symptoms, particularly depression and anxiety. However, we will also investigate PTSD, which is a neuropsychiatric disorder involving both neurological and psychiatric aspects. In addition, the health-related quality of life (HRQo L) assessment includes a section that evaluates aspects related to anxiety and depression.
JMIR Res Protoc 2024;13:e51820
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This study focuses on the early detection of MCI through conversations between patients and humanoid robots without a specific examination, such as neuropsychological examination. We analyzed speech features from the recorded everyday conversations between participants (cognitively normal [CN] people and patients with MCI) and humanoid robots to identify the effective features for detecting the signs of cognitive decline.
JMIR Form Res 2023;7:e42792
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