SensorsUP
sensorsup
We Sense Medical Sensors for Seniors.
Monitoring that UPKeep Seniors Health.
Anomaly Detection in Medical Wireless Sensors using AI.
Scroll DownSensorsUP company is an Artificial Intelligence based company that focuses on online detection of erroneous values reported by medical wireless sensors. We propose a solution for online anomaly detection in collected data, able to raise alarms only when patients enter in emergency situation.
WHAT WE DO
Mobile Data Collection System
SensorsUP Health Cloud Infrastructure
Online Medical Sensors Anomaly Reports
Health Dashboard
Our Customers
4 Groups of KEY-Customers
Sensors are used in electronics-based medical equipment to convert various forms of stimuli into electrical signals for analysis. Sensors can increase the intelligence of medical equipment, such as life-supporting implants, and can enable bedside and remote monitoring of vital signs and other health factors.
The ambient sensors that are used for elderly care can be placed in different locations in a smart home to monitor human behavior or health status. ... Other sensors can be installed, such as environmental sensors, for measuring temperature, humidity, etc.
Wearable, implanted and digestible sensors measure health parameters and vital signs wherever patients or their caregivers need. These sensors help bring healthcare to the homes of patients and make telemedicine and preventive care possible.
Assume one Medical Sensor for every vendor
Problems & Solution
The World Population is aging rapidly
Projections are that people 60 years old or older will outnumber children by 2030
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Body Area Medical Sensors
Medical Sensors are everywhere
Medical Sensors prone to failure
Medical Sensors can be damaged easily so Sensor readings could be unreliable & inaccurate. There is confusing between critical health data and sensor anomaly.
Medical Sensors in Hospitals, Clinics,...
There are more than 300 clinical centers in B.C
Our Architecture
Our Solution integrates novel data mining and machine learning algorithm with modern sensor fusion techniques
َAI Based Solution
Our application use an AI based algorithm to classify abnormal instances in the incoming sensor data
Internet of Medical Thing (IOMT) Architecture
We can distinguish between irregular variations in the physiological parameters of the monitored patient and faulty sensor data to ensure reliable operations and real time global monitoring from smart devices
Contact US
Contact US