Ane Alberdi | Mondragon University (original) (raw)

Papers by Ane Alberdi

Introduction: The number of Alzheimer's Disease (AD) patients is increasing with increased life e... more Introduction: The number of Alzheimer's Disease (AD) patients is increasing with increased life expectancy and 115.4 million people are expected to be affected in 2050. Unfortunately, AD is commonly diagnosed too late, when irreversible damages have been caused in the patient. Objective: An automatic, continuous and unobtrusive early AD detection method would be required to improve patients' life quality and avoid big healthcare costs. Thus, the objective of this survey is to review the multimodal signals that could be used in the development of such a system, emphasizing on the accuracy that they have shown up to date for AD detection. Some useful tools and specific issues towards this goal will also have to be reviewed. Methods: An extensive literature review was performed following a specific search strategy, inclusion criteria, data extraction and quality assessment in the Inspec, Compendex and PubMed databases. Results: This work reviews the extensive list of psychological, physiological , behavioural and cognitive measurements that could be used for AD detection. The most promising measurements seem to be magnetic resonance imaging (MRI) for AD vs control (CTL) discrimination with an 98,95% accuracy , while electroencephalogram (EEG) shows the best results for mild cognitive impairment (MCI) vs CTL (97.88%) and MCI vs AD distinction (94.05%). Available physiological and behavioural AD datasets are listed, as well as medical imaging analysis steps and neuroimaging processing toolboxes. Some issues such as “label noise” and multi-site data are discussed.
Conclusions: The development of an unobtrusive and transparent AD detection system should be based on a multimodal system in order to take full advantage of all kinds of symptoms, detect even the smallest changes and combine them, so as to detect AD as early as possible. Such a multimodal system might probably be based on physiological monitoring of MRI or EEG, as well as behavioural measurements like the
ones proposed along the article. The mentioned AD datasets and image processing toolboxes are available for their use towards this goal. Issues like “label noise” and multi-site neuroimaging incompatibilities may also have to be overcome, but methods for this purpose are already available.

Embedded Systems are ubiquitous. They appear in a wide variety of objects in everyday life, such ... more Embedded Systems are ubiquitous. They appear in a wide variety of objects in everyday life, such as, cell phones, microwave ovens, refrigerators, automobiles and many other consumer products. Some of these embedded systems have potentially safety or security critical consequences. In the development of an embedded system, it is important to be able to determine if the system meets specifications and if its outputs are correct. This is the process of verification and validation. Over the years, embedded systems have evolved a lot; growing the processors speed, memory, the number of processors in a system, etc. what makes possible their usage in even more complex systems with a better performance. However, this evolution leads to an increase in the complexity and costs of the development of embedded systems, especially in the verification and validation phase. That is why it comes the need to implement a comprehensive V&V strategy which reduces complexity and costs. This paper describ...

Stress is a major problem of our society, as it is the cause of many health problems and huge eco... more Stress is a major problem of our society, as it is the cause of many health problems and huge economic losses in companies. Continuous high mental workloads and non-stop technological development, which leads to constant change and need for adaptation, makes the problem increasingly serious for office workers. To prevent stress from becoming chronic and provoking irreversible damages, it is necessary to detect it in its early stages. Unfortunately, an automatic, continuous and unobtrusive early stress detection method does not exist yet. The multimodal nature of stress and the research conducted in this area suggest that the developed method will depend on several modalities. Thus, this work reviews and brings together the recent works carried out in the automatic stress detection looking over the measurements executed along the three main modalities, namely, psychological, physiological and behavioural modalities, along with contextual measurements, in order to give hints about the most appropriate techniques to be used and thereby, to facilitate the development of such a holistic system.

Introduction: The number of Alzheimer's Disease (AD) patients is increasing with increased life e... more Introduction: The number of Alzheimer's Disease (AD) patients is increasing with increased life expectancy and 115.4 million people are expected to be affected in 2050. Unfortunately, AD is commonly diagnosed too late, when irreversible damages have been caused in the patient. Objective: An automatic, continuous and unobtrusive early AD detection method would be required to improve patients' life quality and avoid big healthcare costs. Thus, the objective of this survey is to review the multimodal signals that could be used in the development of such a system, emphasizing on the accuracy that they have shown up to date for AD detection. Some useful tools and specific issues towards this goal will also have to be reviewed. Methods: An extensive literature review was performed following a specific search strategy, inclusion criteria, data extraction and quality assessment in the Inspec, Compendex and PubMed databases. Results: This work reviews the extensive list of psychological, physiological , behavioural and cognitive measurements that could be used for AD detection. The most promising measurements seem to be magnetic resonance imaging (MRI) for AD vs control (CTL) discrimination with an 98,95% accuracy , while electroencephalogram (EEG) shows the best results for mild cognitive impairment (MCI) vs CTL (97.88%) and MCI vs AD distinction (94.05%). Available physiological and behavioural AD datasets are listed, as well as medical imaging analysis steps and neuroimaging processing toolboxes. Some issues such as “label noise” and multi-site data are discussed.
Conclusions: The development of an unobtrusive and transparent AD detection system should be based on a multimodal system in order to take full advantage of all kinds of symptoms, detect even the smallest changes and combine them, so as to detect AD as early as possible. Such a multimodal system might probably be based on physiological monitoring of MRI or EEG, as well as behavioural measurements like the
ones proposed along the article. The mentioned AD datasets and image processing toolboxes are available for their use towards this goal. Issues like “label noise” and multi-site neuroimaging incompatibilities may also have to be overcome, but methods for this purpose are already available.

Embedded Systems are ubiquitous. They appear in a wide variety of objects in everyday life, such ... more Embedded Systems are ubiquitous. They appear in a wide variety of objects in everyday life, such as, cell phones, microwave ovens, refrigerators, automobiles and many other consumer products. Some of these embedded systems have potentially safety or security critical consequences. In the development of an embedded system, it is important to be able to determine if the system meets specifications and if its outputs are correct. This is the process of verification and validation. Over the years, embedded systems have evolved a lot; growing the processors speed, memory, the number of processors in a system, etc. what makes possible their usage in even more complex systems with a better performance. However, this evolution leads to an increase in the complexity and costs of the development of embedded systems, especially in the verification and validation phase. That is why it comes the need to implement a comprehensive V&V strategy which reduces complexity and costs. This paper describ...

Stress is a major problem of our society, as it is the cause of many health problems and huge eco... more Stress is a major problem of our society, as it is the cause of many health problems and huge economic losses in companies. Continuous high mental workloads and non-stop technological development, which leads to constant change and need for adaptation, makes the problem increasingly serious for office workers. To prevent stress from becoming chronic and provoking irreversible damages, it is necessary to detect it in its early stages. Unfortunately, an automatic, continuous and unobtrusive early stress detection method does not exist yet. The multimodal nature of stress and the research conducted in this area suggest that the developed method will depend on several modalities. Thus, this work reviews and brings together the recent works carried out in the automatic stress detection looking over the measurements executed along the three main modalities, namely, psychological, physiological and behavioural modalities, along with contextual measurements, in order to give hints about the most appropriate techniques to be used and thereby, to facilitate the development of such a holistic system.