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LS

LYOTECH SRL

LyoTech provides a non-intrusive remote monitoring system for elderly individuals living at home. Their technology tracks well-being indicators and shares data with family and caregivers to promote independent living and proactive care.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Elderly individuals living at home alone are at risk of health and safety issues that may go unnoticed without regular monitoring. Traditional methods of monitoring require intrusive measures or frequent check-ins, which can compromise the individual's independence and quality of life. Caregivers often lack real-time insights into the well-being of their loved ones, hindering proactive intervention and timely assistance.

Solution

LyoTech offers a non-intrusive remote monitoring system designed to promote the autonomous and independent living of elderly and fragile individuals. The system, called BRIDGe, uses a kit that integrates environmental sensors to monitor various aspects of the home environment and the resident's activities. Data is collected on room occupancy, door/window status, appliance usage, and sleep patterns to estimate the resident's well-being. This information is then securely transmitted to a mobile application, providing family members and caregivers with insights into the individual's daily life and enabling them to provide proactive care.

Target Audience

The primary target audience includes elderly individuals living alone, their family members, and caregivers seeking a non-intrusive way to monitor well-being and promote independent living. The solution also caters to healthcare facilities looking to support daily observation and management of patients.

Features

  • Non-intrusive monitoring through environmental sensors that track presence, temperature, luminosity, and contact events.
  • Smart meter integration for monitoring energy and water consumption patterns.
  • Algorithms leveraging Machine Learning and AI to estimate the resident's psychophysical condition.
  • Mobile application for caregivers providing real-time status updates on home and inhabitant conditions.
  • Optional integration with wearable sensors for enhanced presence detection.
  • Optional integration of bed sensors for monitoring sleep quality parameters like movement, heart rate, and respiratory rate.
  • Optional integration with Amazon Alexa for voice-based information retrieval and reminders.
  • Secure data transmission using encrypted communication protocols (SSL-HTTPS).
  • Data stored in encrypted databases protected by passwords.
This profile is AI-generated and may contain inaccuracies.