Device for neurovascular stimulation

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This invention describes a neurovascular stimulation device that monitors both brain and cardiovascular activity in real-time, using various sensors (such as EEG electrodes and heart rate monitors). Based on the user's neural and cardiovascular signals, a computing unit executes an algorithm to generate personalized cognitive or physical tasks delivered through output devices (such as displays, speakers, or training equipment). The goal is to optimally stimulate neuroplasticity and vascular health in the brain, with applications in improving cognitive function, memory, and potentially preventing or treating dementia.

Use CasesContent extracted from patent full text and abstract with AI.

• Cognitive rehabilitation for patients at risk of or suffering from dementia.
• Enhancing memory and learning capabilities in elderly individuals.
• Personalized brain training regimes for healthy adults or athletes.
• Integration into fitness centers for combined physical and cognitive exercise programs.
• Remote or home-based neurocognitive therapy using wearable devices.
• Research on the relationship between cardiovascular fitness and neuroplasticity.

BenefitsContent extracted from patent full text and abstract with AI.

• Personalized tasks ensure optimal stimulation for each user, maximizing neuroplasticity benefits.
• Real-time monitoring and adaptation based on actual brain and heart activity lead to higher effectiveness compared to generic training.
• Potential for significant impact in dementia prevention, slowing down cognitive decline and improving quality of life in aging populations.
• Supports a holistic approach, combining cognitive and physical health monitoring and intervention.
• Flexible implementation with various sensors, devices, and output modes, allowing broad integration into consumer, medical, and research settings.
• Automated feedback and adjustment reduce the need for constant clinical supervision.

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Patent Abstract

The invention relates to a device for neurovascular stimulation, at least comprising: at least one brain activity sensor, at least one cardiovascular sensor, at least one computing unit and at least one output unit. The computing unit comprises at least one task algorithm, wherein signals of at least the brain activity sensor and the cardiovascular sensor can be received by the computing unit, and wherein a task, which is in correlation with at least the signals from at least the brain activity sensor and the signals of the cardiovascular sensor, can be determined by means of the task algorithm and can be output by means of the output unit.