376 documents found, page 1 of 38
Validation and adaptation of Motion Sickness Susceptibility Questionnaire – Sho...
Santos, Cristina; Costa, Tiago; Matos, Teresa; Saraiva, JoséCinetosis or motion sickness is a normal physiological response associated with the organism's exposure to motion or movement in the visual environment. The susceptibility and severity of this symptom can be assessed using the Motion Sickness Susceptibility Questionnaire – Short Form, a widely used instrument for measuring susceptibility to motion sickness, translated and validated in several languages. The pre...
Patient-driven hybrid FES-exoskeleton control with adaptive band-based assistance
Martins, Jorge Miguel Ribeiro; Almeida, Joana Filipa Pinheiro; Gizzi, Leonardo; Santos, CristinaSpinal Cord Injuries (SCIs) are a prevalent condition worldwide, leading to a loss of motor function that significantly hinders Activities of Daily Living (ADLs). Optimized rehabilitation is essential to mitigate these challenges, promoting neuroplasticity and motor relearning. One of the most promising approaches combines Functional Electrical Stimulation (FES) of muscles with forces generated by exoskeletons....
Towards a human-sensitive controller: Learning human specificities in ergonomic...
Martins, Vítor Hugo Brandão; Cerqueira, Sara Maria Brito Araújo; Balcells, Mercedes; Edelman, Elazer; Santos, CristinaWork-Related Musculoskeletal Disorders remain a major challenge in industrial settings, accounting for over half of occupational diseases in Europe and imposing economic and social burdens. These disorders often cause chronic pain and reduced work capacity, highlighting the need for inclusive workstations that adapt to workers' physical constraints. This paper explores Reinforcement Learning (RL) for developing...
Bio-inspired control strategies in wearable robotics: A comprehensive review of...
Almeida, Joana Filipa Pinheiro; Santos, CristinaWearable robotic devices such as exoskeletons and orthoses have undergone significant advancements over the past two decades, aiming to support human mobility in rehabilitation, daily life, and industrial settings. Central to their effectiveness is the implementation of control strategies that generate smooth, adaptive, and usersynchronized movements. Among these, bio-inspired approaches that emulate neural and...
Human-Exoskeleton Interaction Simulation Framework via Deep Reinforcement Learning
SIlvino, Diogo Roseira; Figueiredo, Joana; Santos, CristinaDesigning and controlling lower-limb exoskeletons is a complex and costly process that requires extensive prototyping, human testing, and iterative refinement. A key challenge in active exoskeleton development is accurately perceiving human-robot interaction (HRI) and delivering practical assistance through advanced control strategies. Simulating HRI in controlled environments offers a powerful alternative, ena...
Optimized in-solution enrichment over a million ancient human SNPs
Davidson, Roberta; Roca-Rada, Xavier; Ravinshakar, Shyamsundar; Taufik, Leonard; Haarkötter, Christian; Collen, Evelyn; Williams, Matthew P.Background In-solution hybridization enrichment of genetic markers is a method of choice in paleogenomic studies, where the DNA of interest is generally heavily fragmented and contaminated with environmental DNA, and where the retrieval of genetic data comparable between individuals is challenging. Here, we benchmark the commercial “Twist Ancient DNA” reagent from Twist Biosciences using sequencing libraries fr...
ErgoReport: a holistic posture assessment framework based on inertial data and ...
Martins, Diogo Renato Dias; Cerqueira, Sara Maria Brito Araújo; Pombeiro, Ana; Ferreira da Silva, Alexandre; Rocha, Ana Maria A. C.; Santos, CristinaAwkward postures are a significant contributor to work-related musculoskeletal disorders (WRMSDs), which represent great social and economic burdens. Various posture assessment tools assess WRMSD risk but fall short in providing an elucidating risk breakdown to expedite the typical time-consuming ergonomic assessments. Quantifying, automating, but also complementing posture risk assessment become crucial. Thus,...
Locomotion mode prediction in real life walking with and without ankle-foot exo...
Carvalho, Simão Pedro Fernandes Machado Dias; Figueiredo, Joana; Cerqueira, João José; Santos, CristinaExoskeletons can assist human locomotion in real-life scenarios, but existing tools for decoding locomotion modes (LMs) focus on recognition rather than prediction, which can lead to delayed assistance. This study proposes a long short-term memory (LSTM) neural network to predict five LMs (level-walking, ramp ascent/descent, stair ascent/descent) with greater lead time compared to state-of-the-art methods. We e...
Approach to Acute Kidney Injury in a Patientwith HIV
Pais, Mariana; Pereira, Fernando; Pereira, Tiago Assis; Messias, Ana; Santos, Cristina.
Impact of the Creche com Sabor e Saúde (C2S) project on the food provided by Po...
Pita, O.; Teixeira, B.; Nova, L.; Coelho, B.C.; Dias, I.; Conceição, M.; Ferreira, L.; Jorge, A.; Do Céu Monteiro, M.; Santos, Cristina; Rodrigues, SaraIntroduction and Objectives: To assess the impact of implementing a community intervention project on the food offered at lunch in Portuguese daycare centers. Methods: A study was conducted in a nonprobabilistic, convenience sample of 18 Portuguese daycare centers that welcome children from six to 36 months old. The characterization of the institutions was developed using a self-administered online questionnair...