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Going beyond PA: Assessing sensorimotor capacity with wearables in multiple sclerosis—a cross-sectional study
BackgroundWearable technologies are currently clinically used to assess energy expenditure in a variety of populations, e.g., persons with multiple...
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Quantification of Upper Limb Movements in Patients with Hereditary or Idiopathic Ataxia
Assessment of ataxic movements is usually based on clinical judgment. Technical devices can be employed in the quantification of ataxic movements in...
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Dataset of fitness trackers and smartwatches to measuring physical activity in research
ObjectivesAccelerometer-based wrist-worn fitness trackers and smartwatches (wearables) appeared on the consumer market in 2011. Many wearable devices...
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A smartphone-based online system for fall detection with alert notifications and contextual information of real-life falls
BackgroundFalls are a leading cause of accidental deaths and injuries worldwide. The risk of falling is especially high for individuals suffering...
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Estimation of body segmental orientation for prosthetic gait using a nonlinear autoregressive neural network with exogenous inputs
Assessment of the prosthetic gait is an important clinical approach to evaluate the quality and functionality of the prescribed lower limb prosthesis...
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A robust walking detection algorithm using a single foot-worn inertial sensor: validation in real-life settings
Walking activity and gait parameters are considered among the most relevant mobility-related parameters. Currently, gait assessments have been mainly...
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Foot progression angle estimation using a single foot-worn inertial sensor
BackgroundThe foot progression angle is an important measure used to help patients reduce their knee adduction moment. Current measurement systems...
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Automated, IMU-based spine angle estimation and IMU location identification for telerehabilitation
BackgroundTelerehabilitation is a promising avenue for improving patient outcomes and expanding accessibility. However, there is currently no...
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Effects of the powerball® system on muscle strength, coordination, fatigue, functionality and quality of life in people with multiple sclerosis. A randomized clinical trial
IntroductionAlthough clinical and functional impairments in the lower limbs have been extensively studied in patients with MS, the upper limb (UL)...
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Role of data measurement characteristics in the accurate detection of Parkinson’s disease symptoms using wearable sensors
BackgroundParkinson’s disease (PD) is a progressive neurological disease, with characteristic motor symptoms such as tremor and bradykinesia. There...
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Evaluating the difference in walk patterns among normal-weight and overweight/obese individuals in real-world surfaces using statistical analysis and deep learning methods with inertial measurement unit data
Unusual walk patterns may increase individuals’ risks of falling. Anthropometric features of the human body, such as the body mass index (BMI),...
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Deep learning model for classifying shoulder pain rehabilitation exercises using IMU sensor
BackgroundArtificial intelligence is being used for rehabilitation, including monitoring exercise compliance through sensor technology. AI...
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Mobile Devices, Connected Objects, and Sensors
Brain disorders are a leading cause of global disability. With the increasing global proliferation of smart devices and connected objects, the use of...
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American Football On-Field Head Impact Kinematics: Influence of Acceleration Signal Characteristics on Peak Maximal Principal Strain
Recorded head kinematics from head-impact measurement devices (HIMd) are pivotal for evaluating brain stress and strain through head finite element...
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A portable system to measure knee extensor spasticity after spinal cord injury
BackgroundThe pendulum test is a quantitative method used to assess knee extensor spasticity in humans with spinal cord injury (SCI). Yet, the...
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A Symbiotic Self-Moving Massage Robot as a Wearable Monitoring and Decision-Making System
The new concept of a symbiotic self-moving massage robot — the Triangle — is presented, in terms of its mechanical connection with the patient’s body...
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Data-driven characterization of walking after a spinal cord injury using inertial sensors
BackgroundAn incomplete spinal cord injury (SCI) refers to remaining sensorimotor function below the injury with the possibility for the patient to...
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Accuracy and comparison of sensor-based gait speed estimations under standardized and daily life conditions in children undergoing rehabilitation
BackgroundGait speed is a widely used outcome measure to assess the walking abilities of children undergoing rehabilitation. It is routinely...
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How wearable sensors have been utilised to evaluate frailty in older adults: a systematic review
BackgroundGlobally the population of older adults is increasing. It is estimated that by 2050 the number of adults over the age of 60 will represent...
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Compliance of volunteers in a fully-enclosed patient rotation system for MR-guided radiation therapy: a prospective study
BackgroundParticle therapy makes a noteworthy contribution in the treatment of tumor diseases. In order to be able to irradiate from different...
