[HTML][HTML] A survey of robots in healthcare

M Kyrarini, F Lygerakis, A Rajavenkatanarayanan… - Technologies, 2021 - mdpi.com
In recent years, with the current advancements in Robotics and Artificial Intelligence (AI),
robots have the potential to support the field of healthcare. Robotic systems are often …

Methodological standards in accessibility research on motor impairments: A survey

Z Sarsenbayeva, N Van Berkel, E Velloso… - ACM Computing …, 2022 - dl.acm.org
The design and evaluation of accessibility technology is a core component of the computer
science landscape, aiming to ensure that digital innovations are accessible to all. One of the …

Temporal dilation of deep LSTM for agile decoding of sEMG: Application in prediction of Upper-Limb motor intention in NeuroRobotics

T Sun, Q Hu, P Gulati… - IEEE Robotics and …, 2021 - ieeexplore.ieee.org
The spectrotemporal information content of surface electromyography has shown strong
potential in predicting the intended motor command. During the last decade, with …

[HTML][HTML] Virtual reality as a technological-aided solution to support communication in persons with neurodegenerative diseases and acquired brain injury during …

F Stasolla, M Matamala-Gomez, S Bernini… - Frontiers in Public …, 2021 - frontiersin.org
The COVID-19 poses an ongoing threat to lives around the world and challenges the
existing public health and medical service delivery. The lockdown or quarantine measures …

A machine learning approach to perform physical activity classification using a sensorized crutch tip

AB Mesanza, S Lucas, A Zubizarreta, I Cabanes… - IEEE …, 2020 - ieeexplore.ieee.org
In recent years, interest in monitoring Physical Activity (PA) has increased due to its positive
effect on health. New technological devices have been proposed for this purpose, mainly …

[HTML][HTML] Machine learning-based gait anomaly detection using a sensorized tip: an individualized approach

J Otamendi, A Zubizarreta, E Portillo - Neural Computing and Applications, 2023 - Springer
Lower limb motor impairment affects greatly the autonomy and quality of life of those people
suffering from it. Recent studies have shown that an appropriate rehabilitation can …

Physical fatigue detection through EMG wearables and subjective user reports: a machine learning approach towards adaptive rehabilitation

M Papakostas, V Kanal, M Abujelala… - Proceedings of the 12th …, 2019 - dl.acm.org
Physical fatigue due to muscle exhaustion is a symptom that can be very common in daily
life. However fatigue can sometimes be suspect of more severe diseases such as multiple …

[HTML][HTML] Cogbeacon: A multi-modal dataset and data-collection platform for modeling cognitive fatigue

M Papakostas, A Rajavenkatanarayanan, F Makedon - Technologies, 2019 - mdpi.com
In this work, we present CogBeacon, a multi-modal dataset designed to target the effects of
cognitive fatigue in human performance. The dataset consists of 76 sessions collected from …

[HTML][HTML] Robotic systems for upper-limb rehabilitation in multiple sclerosis: a SWOT analysis and the synergies with virtual and augmented environments

GA Albanese, A Bucchieri, J Podda… - Frontiers in Robotics …, 2024 - frontiersin.org
The robotics discipline is exploring precise and versatile solutions for upper-limb
rehabilitation in Multiple Sclerosis (MS). People with MS can greatly benefit from robotic …

Parenting with a spinal cord injury: A systematic review of mothers' and fathers' experiences.

E Brennan, L Swords - Rehabilitation Psychology, 2021 - psycnet.apa.org
Objective: A significant gap in the literature is the synthesis of qualitative studies exploring
experiences of parenting with a spinal cord injury (SCI). Recent articles have tended to focus …