AIMC Topic: Wearable Electronic Devices
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A machine-learning method isolating changes in wrist kinematics that identify age-related changes in arm movement.
Scientific reports
Apr 29, 2024
Normal aging often results in an increase in physiological tremors and slowing of the movement of the hands, which can impair daily activities and quality of life. This study, using lightweight wearable non-invasive sensors, aimed to detect and ident...
Exploring inertial sensor-based balance biomarkers for early detection of mild cognitive impairment.
Scientific reports
Apr 29, 2024
Dementia is characterized by a progressive loss of cognitive abilities, and diagnosing its early stages Mild Cognitive Impairment (MCI), is difficult since it is a transitory state that is different from total cognitive collapse. Recent clinical rese...
Enhancing Healthcare through Sensor-Enabled Digital Twins in Smart Environments: A Comprehensive Analysis.
Sensors (Basel, Switzerland)
Apr 27, 2024
This comprehensive review investigates the transformative potential of sensor-driven digital twin technology in enhancing healthcare delivery within smart environments. We explore the integration of smart environments with sensor technologies, digita...
A Mouth and Tongue Interactive Device to Control Wearable Robotic Limbs in Tasks where Human Limbs Are Occupied.
Biosensors
Apr 24, 2024
The Wearable Robotic Limb (WRL) is a type of robotic arm worn on the human body, aiming to enhance the wearer's operational capabilities. However, proposing additional methods to control and perceive the WRL when human limbs are heavily occupied with...
Physics-Informed Transfer Learning to Enhance Sleep Staging.
IEEE transactions on bio-medical engineering
Apr 22, 2024
OBJECTIVE: At-home sleep staging using wearable medical sensors poses a viable alternative to in-hospital polysomnography due to its lower cost and lower disruption to the daily lives of patients, especially in the case of long-term monitoring. Machi...
Personalized Machine Learning-Based Prediction of Wellbeing and Empathy in Healthcare Professionals.
Sensors (Basel, Switzerland)
Apr 20, 2024
Healthcare professionals are known to suffer from workplace stress and burnout, which can negatively affect their empathy for patients and quality of care. While existing research has identified factors associated with wellbeing and empathy in health...
Printable and flexible integrated sensing systems for wireless healthcare.
Nanoscale
Apr 18, 2024
The rapid development of wearable sensing devices and artificial intelligence has enabled portable and wireless tracking of human health, fulfilling the promise of digitalized healthcare applications. To achieve versatile design and integration of mu...
Gait Alterations and Association With Worsening Knee Pain and Physical Function: A Machine Learning Approach With Wearable Sensors in the Multicenter Osteoarthritis Study.
Arthritis care & research
Apr 17, 2024
OBJECTIVE: The objective of this study was to identify gait alterations related to worsening knee pain and worsening physical function, using machine learning approaches applied to wearable sensor-derived data from a large observational cohort.
Adopting Graph Neural Networks to Analyze Human-Object Interactions for Inferring Activities of Daily Living.
Sensors (Basel, Switzerland)
Apr 17, 2024
Human Activity Recognition (HAR) refers to a field that aims to identify human activities by adopting multiple techniques. In this field, different applications, such as smart homes and assistive robots, are introduced to support individuals in their...
A Multi-Modal Egocentric Activity Recognition Approach towards Video Domain Generalization.
Sensors (Basel, Switzerland)
Apr 12, 2024
Egocentric activity recognition is a prominent computer vision task that is based on the use of wearable cameras. Since egocentric videos are captured through the perspective of the person wearing the camera, her/his body motions severely complicate ...
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