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Activities of Daily Living

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[The efficacy analysis of neurosurgical robot-assisted DBS in the treatment of elderly Parkinson's disease].

Zhonghua yi xue za zhi
To investigate the surgical efficacy of neurosurgery robot deep brain stimulation(DBS) in the treatment of elderly Parkinson's disease(PD). The clinical data of elderly patients (≥75 years) with PD who underwent neurosurgical robot-assisted DBS sur...

An Exploratory Multi-Session Study of Learning High-Dimensional Body-Machine Interfacing for Assistive Robot Control.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Individuals who suffer from severe paralysis often lose the capacity to perform fundamental body movements and everyday activities. Empowering these individuals with the ability to operate robotic arms, in high degrees-of-freedom (DoFs), can help to ...

Using workspace restrictiveness for adaptive velocity adjustment of assistive robots and upper limb exoskeletons.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Individuals with severe disabilities can benefit from assistive robotic systems (ARS) for performing activities of daily living. However, limited control interfaces are available for individuals who cannot use their hands for the control, and most of...

Single Accelerometer to Recognize Human Activities Using Neural Networks.

Journal of biomechanical engineering
Exoskeletons have decreased physical effort and increased comfort in activities of daily living (ADL) such as walking, squatting, and running. However, this assistance is often activity specific and does not accommodate a wide variety of different ac...

[Comparison of the predictive performance of Logistic regression, BP neural network and support vector machine model for the risk of acute exacerbation of readmission in elderly patients with chronic obstructive pulmonary disease within 30 days].

Zhonghua wei zhong bing ji jiu yi xue
OBJECTIVE: To compare the effectiveness of Logistic regression, BP neural network and support vector machine models in the prediction of 30-day risk of readmission in elderly patients with an exacerbation of chronic obstructive pulmonary disease (COP...

Design and Preliminary Evaluation of a Robot-assisted Assessment-driven Finger Proprioception Therapy.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Neurological injuries such as stroke often lead to motor and somatosensory impairments of the hand. Deficits in somatosensation, especially proprioception, result in difficulties performing activities of daily living involving fine motor tasks. Howev...

Comparison of Machine Learning Techniques for Activities of Daily Living Classification with Electromyographic Data.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Advances in data science and wearable robotic devices present an opportunity to improve rehabilitation outcomes. Some of these devices incorporate electromyography (EMG) electrodes that sense physiological patient activity, making it possible to deve...

Developing an Upper Limb Kinematics Database of Activities of Daily Living.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Open-access databases can facilitate data sharing among researchers and provide normative data for objective clinical assessment development, robotic design, and biomechanical modeling. However, most existing databases focus on gait, balance, and han...

Use of Robots to Support Those Living with Dementia and Their Caregivers.

Studies in health technology and informatics
Dementia and other related diseases causing symptoms of mild cognitive impairment are being increasingly diagnosed. These diseases are placing a significant strain on the healthcare system. Robotic technology research has also been increasing, specif...