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Toplam kayıt 6, listelenen: 1-6
The Effectiveness of Feature Selection Methods on Physical Activity Recognition
(2018)
For the definition of physical activity monitoring with long activity times can be costly and there is a need for efficient computer based algorithms. Smartphone sensors such as accelerometer, magnetometer, and gyroscope ...
Multimodal Classification of Obstructive Sleep Apnea using Feature Level Fusion
(2017)
Obstructive sleep apnea (OSA) is a sleep disorder with long-term consequences. Long-term effects include sleep related issues and cardiovascular diseases. OSA is often diagnosed with an overnight sleep test called a ...
Classification of Obstructive Sleep Apnea using Multimodal and Sigma-based Feature Representation
(2019)
Obstructive sleep apnea (OSA) is a sleep disorder characterized by a decrease in blood oxygen saturation and waking up after a long time. Diagnosis can be made by following a full night with a polysomnogram device, so there ...
Classification of Indoor-Outdoor Location using Blood Oxygen Saturation Signal
(2018)
Wearable technology, one of the most significant trends in the mobile computing evolution, has been changing our daily life. It has become increasingly popular in many different areas such as military, healthcare, ...
Leveraging Multimodal and Feature Selection Approaches to Improve Sleep Apnea Classification Performance
(2017)
Obstructive sleep apnea (OSA) is a sleep disorder with long-term adverse effects such as cardiovascular diseases. However, clinical methods, such as polisomnograms, have high monitoring costs due to long waiting times and ...
Detection of Basic Human Physical Activities With Indoor Outdoor Information Using Sigma-Based Features and Deep Learning
(2019)
The devices created on account of the developments in wearable technology are increasingly becoming a part of our daily lives. In particular, sensors have enhanced the usefulness of such devices. The aim of this paper is ...