5 documents found, page 1 of 1
Deep learning models for improving Parkinson’s disease management regarding dis...
Gonçalves, Helena R.; Pinheiro, Pedro; Pinheiro, Cristiana; Martins, Luís; Rodrigues, Ana Margarida; Santos, Cristina P.Background and objective: Motor diagnosis, monitoring and management of Parkinson’s disease (PD) focuses mainly on observational methods and, clinical scales, resulting in a subjective evaluation. Inertial sensors combined with artificial intelligence have emerged as a promising solution to help physicians perform early, differential, and objective quantification of motor symptoms over time. We hypothesize that...
Objective assessment of pull test scores in Parkinson’s disease under dynamic c...
Cardoso, Marta; Pinheiro, Cristiana; Gonçalves, Helena R.; Rodrigues, Ana Margarida; Santos, Cristina P.Background: Postural instability is considered one of the most incapacitating motor symptoms and a primary cause of falls in Parkinson’s disease (PD), compromising patients’ autonomy and well-being. The traditional clinical examination used to evaluate this symptom designed by pull test is difficult to standardize and is not sensitive to subtle but significant postural changes. Inertial measurement units have e...
A pilot study on wearable multimodal biofeedback for personalized physical trai...
Pinheiro, Cristiana Filipa Sampaio; Figueiredo, Joana; Cerqueira, João José; Santos, Cristina P.There is evidence that physical exercise is relevant for a good health status. However, it is still not as widespread as desired, fostering health risks. Biofeedback is a solution to encourage effective physical exercise guided by sensory cues reflecting objective user performance in real-time to both users and personal trainers. This work aims to benchmark the motor effects and usability of a novel wearable mu...
A review on locomotion mode recognition and prediction when using active orthos...
Moreira, Luís; Figueiredo, Joana; Cerqueira, João; Santos, Cristina P.Understanding how to seamlessly adapt the assistance of lower-limb wearable assistive devices (active orthosis (AOs) and exoskeletons) to human locomotion modes (LMs) is challenging. Several algorithms and sensors have been explored to recognize and predict the users’ LMs. Nevertheless, it is not yet clear which are the most used and effective sensor and classifier configurations in AOs/exoskeletons and how the...
Morbidade em candidatos a emprego na região metropolitana de Salvador, Bahia, B...
Santana, Vilma Sousa; Carvalho, Lílian Carneiro de; Santos, Cristina P.; Andrade, Charles de; D'Oca, Gilma; Santana, Vilma Sousap.107-115; Submitted by Rigaud Andréa (andrearigaud16@yahoo.com.br) on 2011-11-01T17:04:02Z No. of bitstreams: 1 4066.pdf: 76099 bytes, checksum: ffc38da843d81c80e243d7695d031e4a (MD5); Made available in DSpace on 2011-11-01T17:04:02Z (GMT). No. of bitstreams: 1 4066.pdf: 76099 bytes, checksum: ffc38da843d81c80e243d7695d031e4a (MD5) Previous issue date: 2001-01; O objetivo deste estudo transversal é avaliar o p...