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Wearables and telehealth are teaming up to transform chronic care. This connected model offers real-time data for proactive, ...
Gait analysis is one of the most common techniques for neuromusculoskeletal assessment; as a result of this, several devices and techniques have been developed to obtain more accurate tests. Some of ...
In a world first, the University of Queensland (UQ), using technology from Irish SportsTech company DANU Sports, has launched a pioneering research ...
8d
AZoSensors on MSNNew Study Uses Gait Data and Machine Learning for Early Detection of Anxiety and DepressionThis study presents a non-invasive approach to detect anxiety and depression through gait analysis and machine learning, ...
Key Takeaways Smartwatch sales declined 4.5% in 2024 while AI capabilities multiplied exponentially, creating value shifts that traditional metrics completely m ...
“Declining gait speed may signal early cognitive decline and structural brain ageing,” he said. “It can help detect conditions like classical Parkinson’s disease, atypical Parkinsonism, ...
In this paper, we propose an autonomous gait analysis system consisting of a mobile robot and custom-engineered instrumented insoles. The robot is equipped with an on-board RGB-D sensor, the insoles ...
Wearable sensors are emerging and innovative tools in the realm of agriculture, offering new opportunities for sustainable plant monitoring practices. This perspective explores wearable sensor ...
27d
Study Finds on MSNPopular Fitness Trackers Often Fail People With Obesity. Northwestern Study Reveals The FixIn a nutshell Most commercial fitness trackers provide inaccurate calorie burn estimates for people with obesity, due to differences in body shape, movement, and gait that these devices weren’t ...
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