Body sensor network for mobile health monitoring, a diagnosis and anticipating system
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Date
Authors
Wannenburg, Johann
Malekian, Reza
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers
Abstract
A system capable of mobile heath monitoring was
designed and implemented from the first principles. The system
is capable of measuring vital physiological parameters, interpret
the measured signals, and provide a sense of monitoring and
biofeedback to the user. In the case, a medical emergency
is detected notifications are sent to a medical team for the
analysis. The system was designed through the investigation of
various biosignal extraction methods. An optical pulse oximeter
sensor was designed along with the required software algorithms.
The photoplethysmographic signals were extracted and used to
calculate heart rate, saturation of oxygen, and pulse transits time.
The pulse transit time was utilized in the estimation of continuous
blood pressure measurement. The pulse oximetry implementation
applies reflectance-based sensing on the user’s fingertip and palm.
Skin temperature is also measurable through the use of a digital
temperature sensor. The system is capable of providing feedback
to the user by means of a smartphone application receiving data
from the device through Bluetooth. The measurement of the
proposed physiological parameters were successfully measured
with the appropriate degree of accuracy required by medical
standards. The system is capable of health monitoring through
accurate measurements, providing the user with feedback and
successfully identifying medical stress resulting in the sending of
a notification to a medical doctor.
Description
Keywords
Mobile health monitoring, Physiological parameters, SpO2, Saturation of oxygen, Heart rate, Photoplethysmography, PPG, Blood pressure, Pulse transit time, Skin temperature, Body sensor network, Pulse oximetry, Bluetooth
Sustainable Development Goals
Citation
Wannenburg, J & Malekian, R 2015, 'Body sensor network for mobile health monitoring, a diagnosis and anticipating system', IEEE Sensors Journal, vol. 15, no. 12, pp. 6839-6852.