Author_Institution :
Dept. of Anesthesiology, Wayne State Univ., Detroit, MI, USA
Abstract :
Typically, intro-operative respiratory auscultation for ventilated patients is performed periodically by an anesthesiologist using stethoscopes. Continuous monitoring, recording and computer-assisted signal processing of respiratory sounds can provide critical information in assisting diagnosis and anesthesia management. This is especially useful in situations of airway complications such as asthma, pulmonary edema, bronchial intubation, pheumothorax, spasm, tube malfunctioning, etc. Technology development of a sensor and information processing system for continuous respiratory sound monitoring will enhance diagnosis capability that is currently provided by many measured variables such as airway pressure, flow rate, O2 and CO2 levels, blood O2 saturation, etc. This paper reports a preliminary effort towards developing such a system.The system will use multiple acoustic sensors (accelerometers) to measure respiratory sounds at designated auscultation sites. To attenuate noise artifacts in measured signals, noise reference sensors will be applied; Sensor signals will be scaled, synchronized and amplified by a multi-channel sound adaptor, and then inputted into a computer. The signals are first processed for noise attenuation and signal separation. The clarified signals are then combined with other measured signals for information processing and diagnosis.
Keywords :
acoustic measurement; biomedical measurement; blood flow measurement; chemical sensors; patient diagnosis; patient monitoring; pneumodynamics; CO2; CO2 levels; O2; O2 levels; accelerometers; airway complications; airway pressure; anesthesia; anesthesia management; asthma; blood O2 saturation; bronchial intubation; computer-assisted signal processing; continuous intro-operative respiratory auscultation; diagnosis; flow rate; multi-channel sound adaptor; multiple acoustic sensors; noise attenuation; noise reference sensors; pheumothorax; pulmonary edema; respiratory sounds; signal separation; spasm; tube malfunctioning; ventilated patients; Acoustic measurements; Acoustic noise; Acoustic sensors; Acoustic signal processing; Anesthesia; Computerized monitoring; Information processing; Patient monitoring; Signal processing; Stethoscope;