AIMC Topic: Survivors

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Efficacy of robot-assisted fingers training in chronic stroke survivors: a pilot randomized-controlled trial.

Journal of neuroengineering and rehabilitation Apr 25, 2015
BACKGROUND: While constraint-induced movement therapy (CIMT) is one of the most promising techniques for upper limb rehabilitation after stroke, it requires high residual function to start with. Robotic device, on the other hand, can provide intentio...
Pilot Projects Treatment Outcome Survivors Robotics Stroke Rehabilitation Equipment Design Adult Fingers Humans Male Physical Therapy Modalities Female Middle Aged Aged
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Classifying the Information Needs of Survivors of Domestic Violence in Online Health Communities Using Large Language Models: Prediction Model Development and Evaluation Study.

Journal of medical Internet research May 12, 2025
BACKGROUND: Domestic violence (DV) is a significant public health concern affecting the physical and mental well-being of numerous women, imposing a substantial health care burden. However, women facing DV often encounter barriers to seeking in-perso...
Survivors Middle Aged Humans Models, Theoretical Large Language Models Internet Female Domestic Violence Adult
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A Decision Support System to Provide an Ongoing Prediction of Robot-Assisted Rehabilitation Outcome in Stroke Survivors.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings] Sep 1, 2023
Clinicians often deal with complex robotic platform and serious games in stroke patients rehabilitation contexts, and they face two main problems: 1) the interpretation of either the performance in game or measures of a robotic system from the motor ...
Humans Stroke Treatment Outcome Upper Extremity Recovery of Function Survivors Robotics Stroke Rehabilitation
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Comparison of Machine Learning Methods for Predicting Outcomes After In-Hospital Cardiac Arrest.

Critical care medicine Feb 1, 2022
OBJECTIVES: Prognostication of neurologic status among survivors of in-hospital cardiac arrests remains a challenging task for physicians. Although models such as the Cardiac Arrest Survival Post-Resuscitation In-hospital score are useful for predict...
Heart Arrest ROC Curve Survivors Prognosis Humans Male Area Under Curve Female Machine Learning Outcome Assessment, Health Care Middle Aged Aged Forecasting Cohort Studies
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High Compliance Pneumatic Actuators to Promote Finger Extension in Stroke Survivors.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
Compliant pneumatic systems are well suited for wearable robotic applications. The actuators are lightweight, conformable to irregular shapes, and tolerant of uncontrolled degrees of freedom. These attributes are especially desirable for hand exoskel...
Humans Robotics Hand Stroke Fingers Survivors
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Comparisons between Locomat and Walkbot robotic gait training regarding balance and lower extremity function among non-ambulatory chronic acquired brain injury survivors.

Medicine May 7, 2021
Lower limb rehabilitation exoskeleton robots connect with the human body in a wearable way and control the movement of joints in the gait rehabilitation process. Among treadmill-based lower limb rehabilitation exoskeleton robots, Lokomat (Hocoma AG, ...
Combined Modality Therapy Exoskeleton Device Physical Therapy Modalities Brain Injuries, Traumatic Robotics Gait Brain Injury, Chronic Survivors Rehabilitation Centers Paraplegia Female Adult Cross-Sectional Studies Male Middle Aged Treatment Outcome Humans Retrospective Studies
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Deep learning based analysis of sentiment dynamics in online cancer community forums: An experience.

Health informatics journal Jan 1, 2021
Online health communities (OHC) provide various opportunities for patients with chronic or life-threatening illnesses, especially for cancer patients and survivors. A better understanding of the sentiment dynamics of patients in OHCs can help in the ...
Survivors Breast Neoplasms Deep Learning Emotions Humans Female
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Investigating muscle synergies changes after rehabilitation robotics training on stroke survivors: a pilot study.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
The current knowledge about muscle synergies does not clearly explain how both rehabilitation and brain plasticity act on the way they evolve after a cortical stroke. In this preliminary study, the authors analyzed the correlation between healthy and...
Pilot Projects Humans Stroke Robotics Survivors Hand
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Predicting Disease-Free Lung Cancer Survival Using Patient Reported Outcome (PRO) Measurements with Comparisons of Five Machine Learning Techniques (MLT).

Studies in health technology and informatics Aug 21, 2019
The study was to develop the lung cancer patients' prediction model for predicting 5-year survival after completion of treatment by using Machine Learning Technology (MLT), adding patient reporting (PRO) measurements of lung cancer survivors to a var...
Patient Reported Outcome Measures Humans Survivors Machine Learning Lung Neoplasms
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A robot-assisted sensorimotor training program can improve proprioception and motor function in stroke survivors.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings] Jun 1, 2019
Proprioceptive deficits are common among stroke survivors and are associated with slower motor recovery, poorer upper limb motor function, and decreased self-care ability. Somatosensory feedback augmenting proprioception should enhance motor control ...
Stroke Exoskeleton Device Motor Activity Survivors Proprioception Humans Sensorimotor Cortex Female Middle Aged Aged Robotics Adult Wrist Male
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