دانلود مقاله انگلیسی رایگان:فن آوری های نظارت بیومتریک چند حالته ، توسعه ارزیابی بالینی را در محیط خانه هدایت می کند - 2021
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  • Multimodal biometric monitoring technologies drive the development of clinical assessments in the home environment Multimodal biometric monitoring technologies drive the development of clinical assessments in the home environment
    Multimodal biometric monitoring technologies drive the development of clinical assessments in the home environment

    سال انتشار:

    2021


    عنوان انگلیسی مقاله:

    Multimodal biometric monitoring technologies drive the development of clinical assessments in the home environment


    ترجمه فارسی عنوان مقاله:

    فن آوری های نظارت بیومتریک چند حالته ، توسعه ارزیابی بالینی را در محیط خانه هدایت می کند


    منبع:

    Sciencedirect - Elsevier - Maturitas, 151 (2021) 41-47: doi:10:1016/j:maturitas:2021:06:009


    نویسنده:

    Benjamin Vandendriessche


    چکیده انگلیسی:

    Biometric monitoring technologies (BioMeTs) have attracted the attention of the health care community because of their user-friendly form factor and multi-sensor data-collection capabilities. The potential benefits of remote monitoring for collecting comprehensive, longitudinal, and contextual datasets span therapeutic areas, and both chronic and acute disease settings. Importantly, multimodal BioMeTs unlock the ability to generate rich contextual data to augment digital measures. Currently, the availability of devices is no longer the main factor limiting adoption but rather the ability to integrate fit-for-purpose BioMeTs reliably and safely into clinical care. We provide a critical review of the state of art for multimodal BioMeTs in clinical care and identify three unmet clinical needs: 1) expand the abilities of existing ambulatory unimodal BioMeTs; 2) adapt standardized clinical test protocols ("spot checks’’) for use under free living conditions; and 3) develop novel applications to manage rehabilitation and chronic diseases. As the field is still in an early and quickly evolving state, we make practical recommendations: 1) to select appropriate BioMeTs; 2) to develop composite digital measures; and 3) to design interoperable software to ingest, process, delegate, and visualize the data when deploying novel clinical applications. Multimodal BioMeTs will drive the evolution from in-clinic assessments to at-home data collection with a focus on prevention, personalization, and long-term outcomes by empowering health care providers with knowledge, delivering convenience, and an improved standard of care to patients.“The whole is greater than the sum of its parts” – Aristotle
    Keywords: Digital medicine | Wearables | Multimodal assessment | Digital measures


    سطح: متوسط
    تعداد صفحات فایل pdf انگلیسی: 7
    حجم فایل: 746 کیلوبایت

    قیمت: رایگان


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