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Vol. 252, Issue 5, October 2021, pp. 58-64




Home Monitoring of Vital Parameters Using Intelligent Sensor
and Storage Networks

Ulrich H. P. FISCHER, Jens-Uwe JUST and Fabian THEUERKAUF

Harz University of Applied Sciences, Friedrichstr. 57, 38855 Wernigerode, Germany
Tel.: +49-(0)3943-659351, Fax: +49-(0)3943-659399

E-mail: ufischer@hs-harz.de


Received: 31 July 2021 /Accepted: 30 September 2021 /Published: 31 October 2021



Abstract: The measurement and compilation of vital human data is of particular importance, as it opens up the possibility of supporting a person in their area of life and being able to provide information as to whether diseases are developing or, for example, the gait changes too much so that an early fall could be avoided. Volatile organic components analysis is very interesting possibility for detecting diseases in the home area in a very early stage. Older multimorbid people can also continue to live medically safely in their own home with the help of this supporting analysis of vital parameters and gait parameters, which is the aim of this home monitoring project. Here, the Harz University has developed components for a distributed sensor network for the spectroscopic analysis of air, step analysis and vital parameters collected by a standard smart watch. It measures the number of steps, walking distance, blood pressure, heart rate/ECG and oxygen content of the blood. After analyzing and testing various smart watches, the Fitbit and the OURA ring were used. A test course was developed that lasts around 5 minutes. The sensor system analyses the air in a room by measuring the optical spectral content of VOCs and the gait by a special developed 6D inertial measuring unit (IMU)-sensor in a smart shoe insole. The processing and audio-visual representation of the sensor data fusion represents a probabilistic model as an early warning system for the patient in the home environment. The aim of the work is the dedicated evaluation of the system components of the demonstrator for the subsequent analysis using artificial intelligence for the aggregated client data.


Keywords: Biosensors, Intelligent sensors, Volatile organic components sensors, Sensor fusion of real-time vital data, Gait analysis, Smart shoe sole, Artificial intelligence in medicine.


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