Monitoring of breathing sound is important for the diagnosis of various diseases or conditions. Breathing acts as a physiological indicator and is used as a critical measure of the subject’s psycho-physiological state. Breath detection basically involves capturing of breaths from the subjects using ...
Monitoring of breathing sound is important for the diagnosis of various diseases or conditions. Breathing acts as a physiological indicator and is used as a critical measure of the subject’s psycho-physiological state. Breath detection basically involves capturing of breaths from the subjects using various sensors and processing data obtained from the devices. Even though the respiratory system is the area where vigilance in monitoring is most needed, routine monitoring of the respiratory system has traditionally been much less sophisticated than that of the cardiovascular system, primarily due to a lack of technology. Furthermore, hypoxia and the sudden infant death syndrome (SIDS) mostly happen while he or she is in sleep or in unconscious condition and has been noted to be the leading cause of morbidity and mortality during sedation and anesthesia. These are generally difficult to detect without continuous monitoring of the change in vital signs. Therefore, the close and continuous monitoring method, which can assist the physicians to identify whether the patient is in safe condition, is highly demanded. Since the measurement of respiration becomes clinically very important, several methods have been developed to access breathing information. However, each has serious practical limitations in clinical usage that those techniques do not detect early obstruction reliably, for example, having slow response time and poor quality of respiratory tracing. In this study, PVDF (polyvinylidene fluoride) film used as a sensing material was developed for monitoring breathing sound during deep sedation. Amplitude of the piezoelectric signal depends on the contact pressure on the patient’s skin, as it is the mode of conductivity of vibration from the trachea to the piezoelectric film. Sensor design influence the quality of the signal, therefore, in order to acquire clear breathing sounds, it is critical to make the film flat. FET interface circuit with piezo film provides less noise and clear breathing sounds. Therefore, FET circuit must be used for the PVDF sensor design. The values obtained from the developed sensor were compared with actual values collected from the subject. As results, a regression line was plotted according to the respiration rate and correlation coefficient between the actual value and obtained value was 0.9485. The results showed that the developed sensor provides accurate detection of breathing sounds. Developed sensor is simple in design, noninvasive, patient friendly and hence shows promising routine clinical usage. Results suggest that the proposed sensing system monitors and extracts breathing sound accurately and it could be expanded for the development of wearable sensing device such as monitoring sleep apnea and snoring detection.
Monitoring of breathing sound is important for the diagnosis of various diseases or conditions. Breathing acts as a physiological indicator and is used as a critical measure of the subject’s psycho-physiological state. Breath detection basically involves capturing of breaths from the subjects using various sensors and processing data obtained from the devices. Even though the respiratory system is the area where vigilance in monitoring is most needed, routine monitoring of the respiratory system has traditionally been much less sophisticated than that of the cardiovascular system, primarily due to a lack of technology. Furthermore, hypoxia and the sudden infant death syndrome (SIDS) mostly happen while he or she is in sleep or in unconscious condition and has been noted to be the leading cause of morbidity and mortality during sedation and anesthesia. These are generally difficult to detect without continuous monitoring of the change in vital signs. Therefore, the close and continuous monitoring method, which can assist the physicians to identify whether the patient is in safe condition, is highly demanded. Since the measurement of respiration becomes clinically very important, several methods have been developed to access breathing information. However, each has serious practical limitations in clinical usage that those techniques do not detect early obstruction reliably, for example, having slow response time and poor quality of respiratory tracing. In this study, PVDF (polyvinylidene fluoride) film used as a sensing material was developed for monitoring breathing sound during deep sedation. Amplitude of the piezoelectric signal depends on the contact pressure on the patient’s skin, as it is the mode of conductivity of vibration from the trachea to the piezoelectric film. Sensor design influence the quality of the signal, therefore, in order to acquire clear breathing sounds, it is critical to make the film flat. FET interface circuit with piezo film provides less noise and clear breathing sounds. Therefore, FET circuit must be used for the PVDF sensor design. The values obtained from the developed sensor were compared with actual values collected from the subject. As results, a regression line was plotted according to the respiration rate and correlation coefficient between the actual value and obtained value was 0.9485. The results showed that the developed sensor provides accurate detection of breathing sounds. Developed sensor is simple in design, noninvasive, patient friendly and hence shows promising routine clinical usage. Results suggest that the proposed sensing system monitors and extracts breathing sound accurately and it could be expanded for the development of wearable sensing device such as monitoring sleep apnea and snoring detection.
주제어
#PVDF Breathing sound Sedation Early diagnosis Respiration rate
학위논문 정보
저자
비말라즈파니커가야쓰리
학위수여기관
전북대학교 일반대학원
학위구분
국내석사
학과
전자.정보공학부(전자공학)
지도교수
임재중
발행연도
2017
총페이지
vii, 69 p.
키워드
PVDF Breathing sound Sedation Early diagnosis Respiration rate
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