Wearable sensors, in particular inertial measurement units (IMUs) allow the objective, valid, discriminative and responsive assessment of physical function during functional tests such as gait, stair climbing or sit-to-stand.Applied to various body segments, precise capture of time-to-task achievement, spatiotemporal gait and kinematic parameters of demanding tests or specific to an affected limb are the most used measures.In activity monitoring (AM), accelerometry has mainly been used to derive energy expenditure or general health related parameters such as total step counts.In orthopaedics and the elderly, counting specific events such as stairs or high intensity activities were clinimetrically most powerful; as were qualitative parameters at the 'micro-level' of activity such as step frequency or sit-stand duration.Low cost and ease of use allow routine clinical application but with many options for sensors, algorithms, test and parameter definitions, choice and comparability remain difficult, calling for consensus or standardisation. Cite this article: Grimm B, Bolink S. Evaluating physical function and activity in the elderly patient using wearable motion sensors. 2016;1:112-120. DOI: 10.1302/2058-5241.1.160022.
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http://dx.doi.org/10.1302/2058-5241.1.160022 | DOI Listing |
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Institute of Advanced Materials (INAM), Universitat Jaume I, Av. Vicent Sos Baynat, s/n, 12071 Castellón de la Plana, Spain.
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Molecular Imaging Center, National Center for Drug Screening, Stake Key Laboratory of Chemical Biology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, P. R. China.
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Bioinspired supramolecular architectonics is attracting increasing interest due to their flexible organization and multifunctionality. However, state-of-the-art bioinspired architectonics generally take place in solvent-based circumstance, thus leading to achieving precise control over the self-assembly remains challenging. Moreover, the intrinsic difficulty of ordering the bio-organic self-assemblies into stable large-scale arrays in the liquid environment for engineering devices severely restricts their extensive applications.
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College of Nursing, Chungnam National University, Daejeon, Republic of Korea.
Objective: This study explores the influence of social network structures on self-management behaviors among older adults with diabetes in rural Korean villages, focusing on dietary management, physical activity, and blood glucose monitoring.
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State Key Laboratory of Fine Chemicals, Department of Pharmaceutical Engineering, School of Chemical Engineering, Dalian University of Technology, #2 Linggong Road, Dalian, 116024, China.
Organoids-on-a-chip exhibit significant potential for advancing disease modeling, drug screening, and precision medicine, largely due to their capacity to facilitate interactions among organoids. However, the influence of chip design on these interactions remains poorly understood, primarily due to our limited knowledge of the mediators of communication and the complexity of interaction dynamics. This study demonstrates that analyzing albumin secretion from liver organoids within an organoids-on-a-chip system can provide a measure of the interaction intensity among organoids, offering valuable insights into how chip design influences these interactions.
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