17 documents found, page 1 of 2

Sort by Issue Date

Lacsogram: a new EEG tool to diagnose Alzheimer's disease

Rodrigues, Pedro M.; Bispo, Bruno; Garrett, Carolina; Alves, Dílio; Teixeira, João Paulo; Freitas, Diamantino Silva

This work proposes the application of a new electroencephalogram (EEG) signal processing tool - the lacsogram - to characterize the Alzheimer’s disease (AD) activity and to assist on its diagnosis at different stages: Mild Cognitive Impairment (MCI), Mild and Moderate AD (ADM) and Advanced AD (ADA). Statistical analyzes are performed to lacstral distances between conventional EEG subbands to find measures capab...

Date: 2021   |   Origin: Biblioteca Digital do IPB

Repeated clinical assessment using sensory modality assessment and rehabilitati...

da Conceição Teixeira, Liliana; Blacker, Danielle; Campos, Carlos; Garrett, Carolina; Duport, Sophie; Rocha, Nuno

The recommended way to assess consciousness in prolonged disorders of consciousness is to observe the patient's responses to sensory stimulation. Multiple assessment sessions have to be completed in order to reach a correct diagnosis. There is, however, a lack of data on how many sessions are sufficient for validity and reliability. The aim of this study was to identify the number of Sensory Modality Assessment...


Repeated Clinical Assessment Using Sensory Modality Assessment and Rehabilitati...

da Conceição Teixeira, Liliana; Blacker, Danielle; Campos, Carlos; Garrett, Carolina; Duport, Sophie; Rocha, Nuno

The recommended way to assess consciousness in prolonged disorders of consciousness is to observe the patient’s responses to sensory stimulation. Multiple assessment sessions have to be completed in order to reach a correct diagnosis. There is, however, a lack of data on how many sessions are sufficient for validity and reliability. The aim of this study was to identify the number of Sensory Modality Assessment...

Date: 2021   |   Origin: IC-online

Quality of life in patients with mild Alzheimer disease: the mediator role of m...

Lima, Sara Duarte; Garrett, Carolina; Machado, José Cunha; Vilaça, Margarida; Pereira, M. Graça

Objectives: This study examined the mediator role of mindfulness and spirituality in the relationship between psychological morbidity, awareness of the disease, functionality, social support, family satisfaction, and quality of life (QoL) in patients with mild AD. Method: The sample consisted of 128 patients who answered the Cognitive and Affective Mindfulness Scale-Revised (CAMS-R), the Assessment Scale of Psy...


Electroencephalogram Signal Analysis in Alzheimer's Disease Early Detection

Rodrigues, Pedro Miguel; Freitas, Diamantino Silva; Teixeira, João Paulo; Alves, Dílio; Garrett, Carolina

The World’s health systems are now facing a global problem known as Alzheimer’s disease (AD) that mainly affects the elderly. The goal of this work is to perform a classification methodology skilled with Artificial Neural Networks (ANN) to improve the discrimination accuracy amongst patients at AD different stages comparatively to the state-of-art. For that, several study features that characterized the Electro...

Date: 2018   |   Origin: Biblioteca Digital do IPB

Electroencephalogram hybrid method for alzheimer early detection

Rodrigues, Pedro Miguel; Freitas, Diamantino Silva; Teixeira, João Paulo; Bispo, Bruno; Alves, Dílio; Garrett, Carolina

Alzheimer’s disease (AD) is a neurocognitive illness that leads to dementia and mainly affects the elderly. As the percentage of old people is strongly increasing worldwide, it is urgent to develop contributions to solve this complex problem. The early diagnosis at AD first stage known as Mild Cognitive Impairment (MCI) needs a better accuracy and there is not a biomarker able to detect AD without invasive test...

Date: 2018   |   Origin: Biblioteca Digital do IPB

Early detection of electroencephalogram temporal events in Alzheimer's disease

Rodrigues, Pedro Miguel; Freitas, Diamantino Silva; Teixeira, João Paulo; Alves, Dílio; Garrett, Carolina

Alzheimer’s Disease (AD) is considered one of the most debilitating illness in modern societies and the leading cause of dementia. This study is a new approach to detect early AD Electroencephalogram (EEG) temporal events in order to improve early AD diagnosis. For that, Self-Organized Maps (SOM) were used, and it was found that there are sequences of EEG energy variation, characteristic of AD, that appear with...

Date: 2017   |   Origin: Biblioteca Digital do IPB

Genetic Study of Primary Dystonias: Recommendations from the Centro Hospitalar ...

Monteiro, Ana; Massano, João; Leão, Miguel; Garrett, Carolina; Grupo de Neurogenética do Centro Hospitalar São João, Em nome do

The primary dystonias are a particular group of dystonias of presumed genetic origin, with a wide age of onset and variable progression. The diagnosis is, therefore, a challenge and the issue of the genetic investigation presents frequently in clinical practice. In the past few years several gene mutations have been identified as causative of primary dystonias. The choice of molecular testing is complex, given ...

Date: 2017   |   Origin: Acta Médica Portuguesa

Alzheimer’s early prediction with electroencephalogram

Rodrigues, Pedro Miguel; Teixeira, João Paulo; Garrett, Carolina; Alves, Dílio; Freitas, Diamantino Silva

Alzheimer's disease (AD) is currently an incurable illness that causes dementia and patienfs condition is progressively worse and it represents one ofthe greatest public health challenges worldwide. The main objective ofthis work was to develop a classificatiwmethodology for EEG signals to improve discrimination amongst patients at varying stages ofthe illness, Mitd Cognitive Impairment (MCI) patients and non-p...

Date: 2016   |   Origin: Biblioteca Digital do IPB

Alzheimer's Early Prediction with Electroencephalogram

Rodrigues, Pedro Miguel; Teixeira, João Paulo; Garrett, Carolina; Alves, Dílio; Freitas, Diamantino Silva

Alzheimer’s disease (AD) is currently an incurable illness that causes dementia and patient’s condition is progressively worse and it represents one of the greatest public health challenges worldwide. The main objective of this work was to develop a classification methodology for EEG signals to improve discrimination amongst patients at varying stages of the illness, Mild Cognitive Impairment (MCI) patients and...

Date: 2016   |   Origin: Biblioteca Digital do IPB

17 Results

Queried text

Refine Results

Author





















Date










Document Type





Access rights



Resource







Subject