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Full-Text Articles in Signal Processing
Accelerometer-Based Vigilance State Classification In Dairy Cows, Evan King
Accelerometer-Based Vigilance State Classification In Dairy Cows, Evan King
Theses and Dissertations--Electrical and Computer Engineering
Globally, dairy farming is a $700 billion industry, with more than 9 million dairy cows in the United States alone. Depriving cows of required activities such as sleep has been shown to negatively impact reproductive efficiency, decrease the volume of milk produced, and increase the risk of culling. Overcrowded herds can decrease individual animal health, demanding the need for automatic behavior detection that would provide insight into their state of health.
Using electroencephalography (EEG), electrooculography (EOG), and electromyography (EMG) to characterize the phases of sleep is a technique which has been used for decades. While these techniques are considered the …
Machine Learning Approach For Vigilance State Classification In Mice, Anik Muhury
Machine Learning Approach For Vigilance State Classification In Mice, Anik Muhury
Theses and Dissertations--Electrical and Computer Engineering
Sleep has a significant impact on cognitive abilities such as memory, reaction time, productivity, and creative thinking; however, there are many aspects of this important activity that are not clearly understood. Over the last century, researchers have developed technology and animal models to assist in the study of sleep. Manual sleep scoring is time consuming, reduces productivity, and is impacted by human scorer subjectivity. On the other hand, automatic sleep stage categorization can enhance consistency and reliability, aiding professionals in identifying sleep related health problems.
In recent times various studies reported significant achievements for automatic vigilance detection and overcome the …