40 documents found, page 1 of 4
Mobile and wearable technologies for the analysis of Ten Meter Walk Test: A con...
Gabriel, Cristiana Lopes; Pires, Ivan Miguel; Coelho, Paulo Jorge; Zdravevski, Eftim; Lameski, Petre; Mewada, Hiren; Madeira, Filipe; Garcia, Nuno M.Physical issues started to receive more attention due to the sedentary lifestyle prevalent in modern culture. The Ten Meter Walk Test allows measuring the person's capacity to walk along 10 m and analyzing the advancement of various medical procedures for ailments, including stroke. This systematic review is related to the use of mobile or wearable devices to measure physical parameters while administering the ...
Algorithms for automated diagnosis of cardiovascular diseases based on ECG data...
Pinto, Rui João; Silva, Pedro Miguel; Duarte, Rui P.; Pimenta, Luís; Gouveia, António Jorge; Gonçalves, N.J.A.P.; Coelho, Paulo; Zdravevski, EftimThe prevalence of cardiovascular diseases is increasing around the world. However, the technology is evolving and can be monitored with low-cost sensors anywhere at any time. This subject is being researched, and different methods can automatically identify these diseases, helping patients and healthcare professionals with the treatments. This paper presents a systematic review of disease identification, classi...
Thought on food: a systematic review of current approaches and challenges for f...
Neves, Paulo Alexandre; Simões, João; Costa, Ricardo; Pimenta, Luís; Gonçalves, Norberto Jorge; Albuquerque, Carlos; Cunha, Carlos; Zdravevski, EftimNowadays, individuals have very stressful lifestyles, affecting their nutritional habits. In the early stages of life, teenagers begin to exhibit bad habits and inadequate nutrition. Likewise, other people with dementia, Alzheimer’s disease, or other conditions may not take food or medicine regularly. Therefore, the ability to monitor could be beneficial for them and for the doctors that can analyze the pattern...
Mobile application for inclusive tourism
Ponciano, Vasco Rafael Gaspar; Pires, Ivan M.; Ribeiro, Fernando Reinaldo; Garcia, Nuno M.Tourism is one of the most important economic sectors for Portugal and many countries in the world. With the emergence of low-cost aviation companies, this sector's growth has been exponential. Hence, operators, municipalities, and governments have to adapt to this new world order. A part of the world population that intends to visit has some type of disabilities. On the other hand, as the development of digita...
Machine learning techniques with ECG and EEG data: an exploratory study
Ponciano, Vasco Rafael Gaspar; Pires, Ivan M.; Ribeiro, Fernando Reinaldo; Garcia, Nuno M.; Villasana, María Vanessa; Lameski, Petre; Zdravevski, EftimElectrocardiography (ECG) and electroencephalography (EEG) are powerful tools in medicine for the analysis of various diseases. The emergence of affordable ECG and EEG sensors and ubiquitous mobile devices provides an opportunity to make such analysis accessible to everyone. In this paper, we propose the implementation of a neural network-based method for the automatic identification of the relationship between...
Detection of diseases based on electrocardiography and electroencephalography s...
Ponciano, Vasco Rafael Gaspar; Pires, Ivan M.; Ribeiro, Fernando Reinaldo; Villasana, María Vanessa; Garcia, Nuno M.; Leithardt, ValderiNowadays, cardiac and brain disorders are dispersed over the world, where an early detection allows the treatment and prevention of other related healthcare problems. Technologically, this detection is difficult to perform, and the use of technology and artificial intelligence techniques may automate the accurate detection of different diseases. This paper presents the research on the different techniques and p...
Data acquisition of timed-up and go test with older adults: accelerometer, magn...
Ponciano, Vasco Rafael Gaspar; Pires, Ivan M.; Ribeiro, Fernando Reinaldo; Garcia, Nuno M.We present a dataset related to the acquisition of different sensors data during the performance of the Timed-Up and Go test with the mobile device positioned in a waistband for the acquisition of accelerometer and magnetometer data, and a BITalino device positioned in a chest band for the acquisition of Electrocardiography and Electroencephalography for further processing. The data acquired from the BITalino d...
Is the timed-up and go test feasible in mobile devices? A systematic review
Ponciano, Vasco Rafael Gaspar; Pires, Ivan M.; Ribeiro, Fernando Reinaldo; Marques, Gonçalo Santos; Garcia, Nuno M.; Pombo, Nuno; Spinsante, SusannaThe number of older adults is increasing worldwide, and it is expected that by 2050 over 2 billion individuals will be more than 60 years old. Older adults are exposed to numerous pathological problems such as Parkinson’s disease, amyotrophic lateral sclerosis, post-stroke, and orthopedic disturbances. Several physiotherapy methods that involve measurement of movements, such as the Timed-Up and Go test, can be ...
Identification of diseases based on the use of inertial sensors: a systematic r...
Ponciano, Vasco Rafael Gaspar; Pires, Ivan M.; Ribeiro, Fernando Reinaldo; Marques, Gonçalo Santos; Villasana, María Vanessa; Garcia, Nuno M.Inertial sensors are commonly embedded in several devices, including smartphones, and other specific devices. This type of sensors may be used for different purposes, including the recognition of different diseases. Several studies are focused on the use of accelerometer for the automatic recognition of different diseases, and it may powerful the different treatments with the use of less invasive and painful te...
Activities of Daily Living and Environment Recognition Using Mobile Devices
Ferreira, José M.; Pires, Ivan; Marques, Gonçalo; Garcia, Nuno M.; Zdravevski, Eftim; Lameski, Petre; Flórez-Revuelta, Francisco; Spinsante, SusannaThe recognition of Activities of Daily Living (ADL) using the sensors available in off-the-shelf mobile devices with high accuracy is significant for the development of their framework. Previously, a framework that comprehends data acquisition, data processing, data cleaning, feature extraction, data fusion, and data classification was proposed. However, the results may be improved with the implementation of ot...