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IoT in the healthcare sector

Discover smart devices in the healthcare sector

Smart devices focused on Health

Tools and systems with smart devices in the field of healthcare

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Virtual Reality Rehabilitation Platform

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Diagnostic systems for brain diseases

Virtual Reality Rehabilitation Platform

Neurological rehabilitation with disruptive VR technology and customized immersive experiences

Alsis IoT, in collaboration with the University of Salamanca, is revolutionizing neurological rehabilitation with RehabSim 360, an innovative platform that combines virtual and augmented realities to offer an immersive and personalized training experience. With the aim of improving treatment efficacy and promoting patient motivation and engagement, RehabSim 360 will become a fundamental tool for neurological and physical rehabilitation and sports performance.

Immersive training
Treatment optimization
Improved patient experience

Immersive Simulation: We merge VR goggles with motion sensing platforms (VR treadmill) to simulate natural walking and driving/piloting in virtual scenarios, bringing human perception closer to a real-world experience. This allows immersive training in various situations without the need for costly and potentially dangerous physical simulations.

The overall objectives of this R&D project are twofold:

1.- Research of a digital twin system, which combines a physical support with sensors and motion cameras, devices that provide virtual reality data and an immersive augmented reality environment, to help physical persons to perform a training, simulation, training or rehabilitation activity.

2.- Development of a prototype of an augmented reality platform with the digital twin system for the specific use case of neurorehabilitation of physical patients with neurological disorders or injuries of the nervous system.

Project subsidized by the ICE and co-financed with ERDF funds with file number 04/23/PA/0004

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With the collaboration of

Universidad de Salamanca

Diagnostic systems for brain diseases

Advanced detection of brain diseases using neurotechnology

Alsis IoT, in collaboration with Emotiv and the University of Salamanca, is driving innovation in data analysis and the integration of neurotechnology to improve the detection and prognosis of brain diseases. With a mission to take full advantage of cutting-edge technologies, Neurodiag 360 seeks to revolutionize the way medical diagnostics and treatments are approached.

Analysis of brain signals
Integration of neurotechnology
Early detection of brain diseases

The Smart Wheelchair allows people with reduced mobility to control their chair independently using technologies such as voice commands, thought (BCI) and intelligent navigation. With brain sensors, they can move the chair just by thinking about it, while voice commands allow easy control with verbal commands. In addition, the intelligent navigation system uses cameras and sensors to avoid obstacles and ensure safe travel.

Universidad de Salamanca
Emotiv

Research Fields

Discover research on smart devices in healthcare
Neurotechnology and Cognitive Analysis

Our goal is to understand brain activity in different contexts to improve human-machine interaction and cognitive performance. We achieve this through the use of portable EEG devices that record and analyze brain electrical activity, allowing us to optimize work performance, study mental states in real time and develop neurotechnological interfaces for various industries.

Brain-Computer Interfaces
Brain-Computer Interfaces

Brain-Computer Interfaces allow the translation of neural signals into digital commands, facilitating direct communication between the brain and electronic devices. We use high-precision EEG sensors to capture brain waves and advanced algorithms to interpret the signals. This allows us to control systems and devices without manual intervention, assist people with motor disabilities and develop immersive virtual reality experiences.

Mental Status and Well-Being Monitoring

The objective is to assess the cognitive and emotional state of users to improve their well-being and daily performance. It uses real-time analysis of metrics such as stress, concentration and fatigue using artificial intelligence applied to EEG data. It can be applied in developing solutions to reduce work stress, improve concentration and prevent burnout in demanding environments.

Neurogaming and Virtual Reality

The goal is to integrate brain activity into entertainment and learning experiences, using EEG sensors, to capture cognitive responses and adapt the experience based on the user's mental state. It can be applied in the development of video games, controlled by neural activity, immersive simulations and adaptive training platforms.

Research in Psychology and Applied Neuroscience

The research investigates the understanding of the human brain through the use of portable EEG technologies. It studies brain patterns in diverse populations and conditions, combining neuroscience with artificial intelligence. It can be applied to the development of new approaches for the treatment of cognitive disorders, research in learning and improvements in mental health.

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