13 documents found, page 1 of 2
Provoking artificial slips and trips towards perturbation-based balance trainin...
Ferreira, Rafael Jorge Neto; Ribeiro, Nuno Miguel Ferrete; Figueiredo, Joana; Santos, CristinaHumans’ balance recovery responses to gait perturbations are negatively impacted with ageing. Slip and trip events, the main causes preceding falls during walking, are likely to produce severe injuries in older adults. While traditional exercise-based interventions produce inconsistent results in reducing patients’ fall rates, perturbation-based balance training (PBT) emerges as a promising task-specific soluti...
A machine learning approach for near-fall detection based on inertial and force...
Ribeiro, Nuno Miguel Ferrete; Pereira, Ana; Figueiredo, Joana; Afonso, José A.; Santos, CristinaFalls are a major concern for society. They may result in death or in several injuries that require motor assistance, representing an economic burden. To overcome these problems, a diversity of fall prevention strategies implemented on assistive devices such as smart walkers, have been widely explored. This study presents a novel strategy by using exclusively information from wearable sensors to detect near-fal...
Fall risk assessment using wearable sensors: a narrative review
Ferreira, Rafael Jorge Neto; Ribeiro, Nuno Miguel Ferrete; Santos, CristinaRecently, fall risk assessment has been a main focus in fall-related research. Wearable sensors have been used to increase the objectivity of this assessment, building on the traditional use of oversimplified questionnaires. However, it is necessary to define standard procedures that will us enable to acknowledge the multifactorial causes behind fall events while tackling the heterogeneity of the currently deve...
Senior-oriented robotic devices and algorithms for personalised fall prediction...
Ribeiro, Nuno Miguel FerreteThe phenomenon of falls has become a global public health concern due to their prevalence in a projected constantly ageing population (≥ 65 years), as well as its effects on mortality, lower Quality of Life (QoL) (annually: 684.000 deaths; 37,3 millions of accidents with injury) and higher costs. On the other hand, the lack of real-world fall data makes it difficult to develop and implement different technologi...
Two kinematic data-based approaches for cane event detection
Ribeiro, Nuno Miguel Ferrete; Mouta, Pedro; Santos, CristinaDetect cane events in real-life walking situations is needed to assess indirectly human gait without using wearable systems which may be undesirable, uncomfortable, or difficult to wear, especially for patients who are undergoing rehabilitation. This article fosters two reliable kinematic data-based approaches-a machine learning classifier and an adaptive rule-based finite-state machine (FSM)-to detect four can...
Assistive Smart Cane (ASCane) for fall detection: first advances
Mouta, Pedro; Ribeiro, Nuno Miguel Ferrete; Santos, Cristina; Moreira, RuiThe development of fall detection systems with the capability of real-time monitoring is necessary considering that a large amount of people die and suffer severe consequences from falls. Due to their advantages, daily life accessories can be a solution to embed fall-related systems, and canes are no exception. In this paper, it is presented a cane with fall detection abilities. The ASCane is instrumented with ...
A preliminary strategy for fall prevention in the ASBGo smart walker
Pereira, Ana Rita; Ribeiro, Nuno Miguel Ferrete; Santos, CristinaFall-related injuries affect a large part of the population and related costs. Thus, there is a concern in studying a fall prevention strategy to minimize the consequences of falls. Walkers are assistive devices used to improve the balance, stability and reduce the load on the lower limb of the user. In this sense, there is a concern to improve the safety in smart walkers and, consequently, to prevent falls in ...
An overview of fall-related systems developed in canes
Mouta, Pedro; Ribeiro, Nuno Miguel Ferrete; Gonçalves, L. M.; Santos, CristinaThe number of falls is growing as the main cause of injuries and deaths in the geriatric community. As a result, also the cost of treating the injuries associated with falls is increasing. Thus, the development of fall detection and prediction systems with the capability of real-time monitoring without user restriction is imperative. For this reason, canes can be a great choice to embed fall-related systems. Th...
A survey of fall prevention systems implemented on smart walkers
Pereira, Ana Rita; Ribeiro, Nuno Miguel Ferrete; Santos, CristinaA large number of people die around the world in consequence of a fall. The costs related to fatal and non-fatal falls have an enormous impact on society and have been growing over the years. There are several risk factors that increase the probability of falling, such as poor balance and lower extremity weakness. Patients with balance impairment, in order to overcome these problems, use walkers. The aim of thi...
Validation of a knee angle measurement system based on imus
Ribeiro, Nuno Miguel Ferrete; Ferreira, César; Reis, L. P.; Silva, Hélder David Malheiro; Macedo, Pedro; Rocha, Luís Alexandre Machado; Santos, CristinaInertial Measurements Unit (IMU) based systems are a purposeful and alternative tool to monitor human gait mainly because they are cheaper, smaller and can be used without space restrictions compared to other gait analysis methods. In the scientific community, there are well-known studies that test the accuracy and efficiency of this method compared to ground truth systems. Gait parameters such as stride length...