AIMC Topic: Activities of Daily Living

Clear Filters Showing 241 to 250 of 396 articles

Predictors of activities of daily living outcomes after upper limb robot-assisted therapy in subacute stroke patients.

PloS one
BACKGROUND: Upper limb recovery is one of the main goals of post-stroke rehabilitation due to its importance for autonomy in Activities of Daily Living (ADL). Although the efficacy of upper limb Robot-assisted Therapy (RT) is well established in lite...

Activities suggestion based on emotions in AAL environments.

Artificial intelligence in medicine
The elderly population is increasing and the response of the society was to provide them with services directed to them to cope with their needs. One of the oldest solutions is the retirement home, providing housing and permanent assistance for the e...

Long-term use of the JACO robotic arm: a case series.

Disability and rehabilitation. Assistive technology
PURPOSE: Past research with JACO has principally focused on the short-term impacts on new users. Therefore, this study aims to document the long-term impacts of this assistive device on users and their family caregivers following prolonged use.

Efficacy of the Regent Suit-based rehabilitation on gait EMG patterns in hemiparetic subjects: a pilot study.

European journal of physical and rehabilitation medicine
BACKGROUND: The recovery of the functional limb mobility of patients with cerebral damages can take great benefit of the role offered by proprioceptive rehabilitation. Recently have been developed a special Regent Suit (RS) for rehabilitative applica...

A general framework for sensor-based human activity recognition.

Computers in biology and medicine
Today's wearable devices like smartphones, smartwatches and intelligent glasses collect a large amount of data from their built-in sensors like accelerometers and gyroscopes. These data can be used to identify a person's current activity and in turn ...

Predicting post-stroke activities of daily living through a machine learning-based approach on initiating rehabilitation.

International journal of medical informatics
OBJECTIVES: Prediction of activities of daily living (ADL) is crucial for optimized care of post-stroke patients. However, no suitably-validated and practical models are currently available in clinical practice.

Virtual reality to augment robot-assisted gait training in non-ambulatory patients with a subacute stroke: a pilot randomized controlled trial.

European journal of physical and rehabilitation medicine
BACKGROUND: Active performance is crucial for motor learning, and, together with motivation, is believed to be associated with a better rehabilitation outcome. Virtual reality (VR) is an innovative approach to engage and motivate patients during trai...

What are the preferred characteristics of a service robot for the elderly? A multi-country focus group study with older adults and caregivers.

Assistive technology : the official journal of RESNA
This multi-perspective study focuses on how a service robot for the elderly should behave when interacting with potential users. An existing service robot and a scenario were used as a concrete case, which was discussed and analyzed during focus grou...

Acceptance and perceived usefulness of robots to assist with activities of daily living and healthcare tasks.

Assistive technology : the official journal of RESNA
As the number of older adults living with chronic conditions continues to rise, they will require assistance with activities of daily living (ADL) and healthcare tasks to continue living independently in their homes. One proposed solution to assist w...

Graph-based representation of behavior in detection and prediction of daily living activities.

Computers in biology and medicine
Various surveillance systems capture signs of human activities of daily living (ADLs) and store multimodal information as time line behavioral records. In this paper, we present a novel approach to the analysis of a behavioral record used in a survei...