Yayın tarihi için Teknik Bilimler Meslek Yüksekokulu / Vocational School of Technical Sciences listeleme
Toplam kayıt 29, listelenen: 21-29
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Estimation of heartbeat rate from speech recording with hybrid feature vector (HFV)
(2019)This paper introduces a new hybrid feature vector for revealing the relationship between human voice and heartbeat rate (HBR). Various samples of the sustained vowel /a/ for different HBR have been extracted from a database ... -
Classification of acoustic signals with new feature: Fibonacci space (FSp)
(2019)In this study, a new feature and feature space (FSp) are introduced by using the approach of Fibonacci series formation. The results are presented as two experimental studies. The nine groups of acoustic signals and ... -
Deep Learning Based Multi Modal Approach for Pathological Sounds Classification
(2020)Automatic detection of voice disorders is very important because it makes the diagnosis process simpler, cheaper and less time consuming. In the literature, there are many studies available on the analysis of voice disorders ... -
An Approach to the Classification of Environmental Sounds by LSTM Based Transfer Learning Method
(2020)This electronic Effective frequency extraction from acoustic environmental sounds in frequency and time axis increases the importance of voice recognition, sound detection, environmental classification in recently. For ... -
Security and Privacy in Medical Internet of Things and Cluster-Based Wireless Sensor Networks for Health Care
(2020)Advances in sensing, networking, and the ambient intelligence of wireless sensor networks (WSNs) have been taking place in many applications recently. Growing health-care systems need wireless-based sensor networks to ... -
A viable snore detection system: hardware and software implementations
(2020)A stand-alone, custom-made biomedical system was introduced for long-term monitoring of sleep and detection of snoring events. Commercially available electronic components were assembled for recording audio, pulse, and ... -
Blood pressure prediction from speech recordings
(2020)The aim of this study is to extract new features to show the relationship between speech recordings and blood pressure (BP). For this purpose, a database consisting of / a / vowels with different BP values under the same ... -
Detecting COVID-19 from Respiratory Sound Recordings with Transformers
(2022)Auscultation is an established technique in clinical assessment of symptoms for respiratory disorders. Auscultation is safe and inexpensive, but requires expertise to diagnose a disease using a stethoscope during hospital ...