Home // HEALTHINFO 2019, The Fourth International Conference on Informatics and Assistive Technologies for Health-Care, Medical Support and Wellbeing // View article
Authors:
Pinar Bisgin
Keywords: Human-activity recognition; activity recognition; wearable sensors; mobile healthcare system; ECG; fusion.
Abstract:
Patients with suspected chronic heart failure or symptomatic arrhythmias receive long-term Electrocardiogram ECG. The ECG device records the electrical activity of the heart in a variety of activities in everyday life. The patient must record a protocol during the measurement to demonstrate the various activities of daily life and at different times of the day. The protocol to be made is usually inaccurate because the patient has not usually logged every single activity. Through the fusion of activity detection and ECG, this information is passed on to the physician to aid in the assessment of the diagnosis. Furthermore, the method can be used for therapeutic purposes to consider cardiac activity in specific activities. Human daily activity recognition has gained much attention since it has a wide range of applications. In the preliminary work was a Body Sensor Network (BSN) developed consisting of accelerometer, gyroscope, barometer. For that purpose 20 subjects are participated. This collected sensor data was evaluated using Machine-Learning algorithms. Finally, the averaged classification results could be obtained: achieving F1 score of (89.22 +- 3.18)% with the SVM algorithm. In upcoming work, the proposed activity classification module will be combined with a mobile ECG sensor. This combination can be provided with a possible and correct protocol, but also relieve the patient. In further steps, the data can be identified using the combined sensor data which have pathological patterns. For this purpose, classification algorithms will be used.
Pages: 47 to 48
Copyright: Copyright (c) IARIA, 2019
Publication date: November 24, 2019
Published in: conference
ISSN: 2519-8491
ISBN: 978-1-61208-759-7
Location: Valencia, Spain
Dates: from November 24, 2019 to November 28, 2019