High-throughput biointerfaces for direct, label-free, and multiplexed metaplasmonic biosensing

In recent years, metaplasmonic biosensors have emerged as a novel counterpart of well-established plasmonic biosensors based on thin metallic layers. Metaplasmonic biosensors offer high potential for sensor miniaturiza-tion, extreme sensitivity biosensing, and high multiplexing capabilities with detection methods free of coupling optical elements. These capabilities make metaplasmonic biosensors highly attractive for Point-of-Care and handled/portable devices or novel On-Chip devices; as a result, it has increased the number of prototypes and potential applications that emerged during the last years. One of the main challenges to achieving fully operative devices is the achievement of high-throughput biointerfaces for sensitive and selective biodetection in complex media. Despite the superior surface sensitivity achieved by metaplasmonic sensors compared to conventional plasmonic sensors based on metallic thin films, the main limitations to achieving high-throughput and multiplexed biosensing usually are associated with the sensitivity and selectivity of the bioin-terface and, as a consequence, their application to the direct analysis of real complex samples. This graphical review discusses the potential challenges and capabilities of different biofunctionalization strategies, biorecog-nition elements, and antifouling strategies to achieve scalable and high-throughput metaplasmonic biosensing for Point-of-Care devices and bioengineering applications like Organs-On-Chip

Measuring Spinal Mobility Using an Inertial Measurement Unit System: A Validation Study in Axial Spondyloarthritis

Portable inertial measurement units (IMUs) are beginning to be used in human motion analysis. These devices can be useful for the evaluation of spinal mobility in individuals with axial spondyloarthritis (axSpA). The objectives of this study were to assess (a) concurrent criterion validity in individuals with axSpA by comparing spinal mobility measured by an IMU sensor-based system vs. optical motion capture as the reference standard; (b) discriminant validity comparing mobility with healthy volunteers; (c) construct validity by comparing mobility results with relevant outcome measures. A total of 70 participants with axSpA and 20 healthy controls were included. Individuals with axSpA completed function and activity questionnaires, and their mobility was measured using conventional metrology for axSpA, an optical motion capture system, and an IMU sensor-based system. The UCOASMI, a metrology index based on measures obtained by motion capture, and the IUCOASMI, the same index using IMU measures, were also calculated. Descriptive and inferential analyses were conducted to show the relationships between outcome measures. There was excellent agreement (ICC > 0.90) between both systems and a significant correlation between the IUCOASMI and conventional metrology (r = 0.91), activity (r = 0.40), function (r = 0.62), quality of life (r = 0.55) and structural change (r = 0.76). This study demonstrates the validity of an IMU system to evaluate spinal mobility in axSpA. These systems are more feasible than optical motion capture systems, and they could be useful in clinical practice

Handbook II: Guidelines on the use of wearable sensor systems in-home rehabilitation combined with remote connections. Flowchart and Practice guideline

This Handbook Part II was developed to assist and orientate rehabilitation staff and organisations who are planning to start remote home rehabilitation activities, particularly with the older persons. The ideas and suggestions for the remote rehabilitation process in this document can be easily adopted to any kind of functional capacity problem in rehabilitation. The Handbook Part II focuses on the attributes and aspects that you must consider when you start a remote rehabilitation process with remote connections and wearable sensor systems

Guidelines on the use of wearable sensor systems in-home rehabilitation combined with remote connections - Flowchart and Practice guideline : Handbook II

This Handbook Part II was developed to assist and orientate rehabilitation staff and organisations who are planning to start remote home rehabilitation activities, particularly with the elderly. The ideas and suggestions for the remote rehabilitation process in this document can be easily adopted to any kind of functional capacity problem in rehabilitation. The Handbook Part II focuses on the attributes and aspects that you must consider when you start a remote rehabilitation process with remote connections and wearable sensor systems. This Handbook Part II is a continuation from the Handbook of Wearable Technology Supported Home Rehabilitation Services in Rural Areas – Emphasis on Monitoring Structures and Activities of Functional Capacity, launched in 2019