We have created an artificial neural network based approach for measuring eye movement using a magnetic contact lens sensing technique. The sensor array is based on using four magnetoresistive sensors. A two-layer fee...
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Pulse Transit Time (PTT) is a simple non-invasive method to evaluate vascular function using photoplethysmography(PPG) and electrocardiography(ECG). This study introduces unconstrained PTT measurement method for compu...
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A method of measuring the pulse arrival time (PAT) non-consciously on a chair is proposed. In this method, the electrically non-contact ECG measurement system and the air cushion with balancing tubes are used. In this...
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Electrically non-contact ECG measurement system on a chair can be applied to a number of various fields for continuous health monitoring in daily life. However, the body is floated electrically for this system due to ...
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This paper suggests a new method to compensate perspective error in measuring real size of pupil of pupillography for pupil light response. To get real size of pupil, the distance between cornea and camera should be c...
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This paper presents an integrated microfluidic device for the generation of poly (lactideco- glycolide) (PLGA) nanospheres with protein coating. The chip utilizes the microfluidic droplet reactor technique [1] and PLG...
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Micro topographic feature was obtained by laser holographic fabrication on the photoresponsive polymer. Surface feature was localized using photomask for developing two dimensional cellular pattering. Fibroblast cells...
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The measurement of the amount of energy utilized during physical activity has generated considerable interests from various groups ranging from exercise physiologists to nutritionists and fitness center workers. To da...
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The use of light stimulus for triggering drug is a promising method for accurate drug delivery. A new approach using azopolymer membrane and laser holography was investigated for developing light-triggering drug deliv...
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Detection of sleep apnea is the one of the major tasks in sleep medicine. Various methods have been applied to detect sleep apnea by analyzing different bio-signals. This paper introduces an innovative algorithm that ...
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ISBN:
(纸本)0889864780
Detection of sleep apnea is the one of the major tasks in sleep medicine. Various methods have been applied to detect sleep apnea by analyzing different bio-signals. This paper introduces an innovative algorithm that analyze slope of nasal airflow signal in polysomnography. In this study, slope is obtained by the moving average of an absolute differentiation of a signal with 3.8 seconds' time window followed by segmentation of 1 second. Apnea threshold is determined by 10% of the slope of normal breathing. If segments having slope below apnea threshold appear for 10 consecutive segments, those segments are marked as apnea. The presented algorithm analyzed polysomnography records from 13 subjects and detected 2500 apnea events. Performance of presented algorithm was evaluated by comparing its results against the sleep specialist's manual scoring on same records. The overall agreement rate between the two was 95.36% (κ=0.86). In considering its simplicity and lower computational load, the presented algorithm is robust and useful.
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