IDeTIC: Digital Signal Processing Division

Affiliated Research areas

• Prevention, Diagnosis and Treatment of Human Diseases
• Fundamental Constituents of Matter
• Signal processing

Scientific Areas

• Not available

Keywords

• Laryngeal Pathologies
• Emergency management
• Meteorological sensors
• artificial intelligence
• Resilience in emergencies
• Weather forecasting
• Predictive systems
• Intelligent Systems
• Pattern Recognition
• Development of Applications
• Biomedical images
• Evolution Prediction
• Intelligent Systems
• Physiological signals
• Adaptive signaling

Summary

- Detection of faults in machinery from audio and vibrations: From acoustic analysis, it is possible to detect faults in machinery. This line of work develops tools to detect failures in early stages in order to minimize maintenance costs.
- Biodiversity analysis and conservation: It is about analyzing and studying different animals, or plants or environments, which can help to better understand these species and promote the conservation of biodiversity.
- Evolutionary Pathologies Control in Intensive Care Units: Early detection of severe complications in patients admitted to Intensive Care Units: risk of mortality, sepsis, mechanical breathing problems, etc. Application of methodologies based on artificial intelligence on physiological records, ventilatory mechanics variables, clinical data, etc. Transfer to companies, public and private organisations
- Bioacoustics: detección y reconocimiento de especies: From the acoustic analysis, it is possible to detect different insects and animals. In addition, it is possible to carry out a semi-automatic labelling of species. In this line, we work with long-term recordings analysing the presence of insects, birds, ... whose use can have different applications.
- System to determine renewable energy forecast: Bearing in mind the geographical situation of the islands, the use of natural resources in a non-polluting way is an essential point in the development and conservation of the islands. The use of renewable energy and what is more important, the physical situation of the facilities must be fundamental aspects in our society. The proposed line of research provides this information, through predictions based on the use of different sensors and artificial intelligence, for the more efficient use of renewable energies.
- Intelligent systems (hardware and software) for automated characterization and study of associated sleep and disorders: Signal processing and intelligent techniques for the analysis of physiological data are of paramount importance in those challenges related to health and welfare. We propose in this sense some research actions related to the study and characterization of human sleep ranging from the most basic research proposing new models of characterization of underlying physiological processes to the development and validation of electronic devices for the diagnosis and evolutionary control of patients with respiratory sleep disorders.
- Evaluation of emotions from the voice: Evaluation of the emotional state from the acoustic analysis of speech, allowing an analysis of emotional intensity, among other aspects. The techniques developed allow them to be used in real conditions such as continuous speech or noisy environments.
- System to predict the appearance and evolution of weather variables: It is a system that can predict the behavior of meteorological variables such as wind, temperature, etc., in order to see the appearance and evolution of the different meteorological variables and predict events for the well-being of people.
- Physiological signal analysis to determine the state and the evolution of diseases: It is a system that analyzes different physiological and even biometric signals to determine the state of a person in the face of a disease, or a state of mind or emotion. It can be applied to determine the evolution of COVID, diseases such as Alzheimer's, a state of emotion, or any type of event with people. This may give rise to the generation of digital twins, as a tool not to deal directly with humans, but rather with models based on artificial intelligence.
- Intelligent systems based on the digital processing of sensor groups in the location, monitoring, classification and identification of acoustic and environmental events: What we hear, we smell ..., in short, everything we perceive and also everything we do not perceive, condition the environment that surrounds us and condition us, providing us with a multisensory and multidimensional view of the environment. In this field, the development of systems capable of spatial localization, tracking, classification and identification of acoustic and other phenomena will be studied from the perspective of classical signal processing of sensor arrays together with the use of the latest signal processing techniques and algorithms (ML, DL, etc.). The common denominator of these conceptually heterogeneous systems will be to provide perceived signals through the deployment of appropriate sensors. The applications of these systems are related to the environment of smart cities and environmental monitoring as the most outstanding areas.
- Evaluation of speech in patient with Alzheimer's disease: From speech analysis it is possible to study the evolution of patients with Alzheimer's disease. A methodology has been developed for its evaluation based on an automatic interviewer.
- Acoustic evaluation of the phoner system: detección precoz y control evolutivo: Early detection and evolutionary control of laryngeal pathologies from the voice, evaluating different characteristics of the voice, which allows quantifying different aspects of the phonatory system that are traditionally measured subjectively.
- Soft biometric and biometric systems for people's well -being: The biometric information of a person is a fundamental aspect for their identification in various fields, such as access to a room, or a virtual place, or having time control, and many more examples that could be indicated. The use of these biometric systems provides efficiency, security and robustness to the resources that are counted in our society. Soft biometrics can also provide information such as age, race or measures of the status of people, even indicating indicators or diagnostic tests for people.
- IDETIC: This line encompasses all the actions of the IDeTIC University Institute in terms of promotion and dissemination of scientific activity, actions aimed at transferring research and development results to the productive sector, economic management, and the management of the Institute's human resources, in order to contribute to the social and economic development of our society.
- Patterns recognition: It is about analyzing and studying different patterns that can be found in different environments which can be acquired through information from sensors, signals, images or/and videos. Based on the information, it can be transformed, or used directly with artificial intelligence tools, in order to establish the automatic detection, monitoring, recognition or interpretation of the patterns to be detected.
- Weather prediction and resilience in emergency situations: Development of systems that integrate meteorological sensors and others potentially useful for meteorological observation (cameras, radio links, etc.), application of artificial intelligence to the analysis, detection and prediction of meteorological events, and development of applications for the visualisation of meteorological evolution Emergency management. Transfer to companies, public and private organisations.
- Systems based on wearable devices for the evolutionary control of pathologies, daily activity and quality of life: Development of wearable electronic devices that present the physical implementation of certain algorithms that allow the diagnosis and control of the evolution of pathologies, daily activity and quality of life.
- Intelligent traffic control: señalización circunstancial adaptativa: From the analysis of videos of road traffic it is possible to quantify the intensity of traffic, count the number of vehicles, estimate the speed of each vehicle, etc. From this information it is possible to infer traffic to minimize road times, fuel consumption, etc. from variable signage.
- Study of the movement of living beings for health, biometry, graphonometry, education, robotics and livestock: We model and analyze the kinematics of human movement. This analysis estimates the cognitive functioning and the neuromotor quality of human movement. This core allows us to research the health status of people, the progress in rehabilitation treatments, the development of the learning process, theproduction of handwritt en and its graphonometric implications, the quality of movement collaborative andsynthesized robotics in video games, and virtual reality, animal welfare, among others.
- Systems based on physiological signal processing for the study of extreme fatigue conditions and the design of rehabilitation help devices: The aim is to investigate and discover within the framework of physical activity as an experimental model, new neuroelectrical events involved in extreme fatigue in humans and the underlying physiological and molecular mechanisms. Different physiological recordings are processed to account for such fatigue and electronic devices are designed to help in the rehabilitation process.
- Business entrepreneurship: Aplicación de inteligencia artificial, ciencia de datos y aprendizaje automático: Development of methodologies based on "data science" such as Machine Learning and artificial intelligence in general, applied to the social sciences. In particular, this line is applied to the discovery of entrepreneurship patterns in the Canary Islands and all over of Spain, and their international contextualization within a scenario of successive crises (natural disasters, climate crisis, economic disruptions, pandemics, international wars, etc.).