Child ; Humans ; Stethoscopes ; Respiratory Sounds ; Auscultation ; Respiratory Tract Diseases ; Electronics

Artificial Intelligence ; Auscultation

Mercury sphygmomanometer based on traditional auscultation method is widely used in primary medical institutions in China, but a large amount of blood pressure data can not be directly recorded and applied in scientific research analysis, meanwhile auscultation data is the clinical standard to verify the accuracy of non-invasive electronic sphygmomanometer. Focusing on this, we designed a miniature non-invasive blood pressure measurement and verification system, which can assist doctors to record blood pressure data automatically during the process of auscultation. Through the data playback function,the software of this system can evaluate and verify the blood pressure algorithm of oscillographic method, and then continuously modify the algorithm to improve the measurement accuracy. This study introduces the hardware selection and software design process in detail. The test results show that the system meets the requirements of relevant standards and has a good application prospect.
Auscultation ; Blood Pressure/physiology* ; Blood Pressure Determination ; Oscillometry ; Sphygmomanometers

Bowel sounds is an important indicator to monitor and reflect intestinal motor function, and traditional manual auscultation requires high professional knowledge and rich clinical experience of doctors. In addition, long-time auscultation is time-consuming and laborious， which may lead to misjudgment caused by subjective error. To solve the problem, firstly, the wavelet transform is used to preprocess the bowel sounds signal for noise reduction and enhancement. Secondly, three typical features of intestinal sound were extracted. According to the combination of these features, a three-stage decision was designed to carry out multi-parameter and multi-feature joint threshold detection. This algorithm realized the detection of bowel sound signal and the location of its start and end points, making it possible that the complete bowel sound signal was extracted effectively. In this study, a large number of clinical data and label of bowel sounds were collected, and a new effective evaluation method was proposed to verify the proposed method. The accuracy rate is 83.51%. Results of this study will provide systematic support and theoretical guarantee for the diagnosis of intestinal diseases and the monitoring of postoperative intestinal function recovery of patients.
Algorithms ; Auscultation ; Humans ; Intestines ; Signal Processing, Computer-Assisted ; Wavelet Analysis

The electronic stethoscope combined with artificial intelligence (AI) technology has realized the digital acquisition of heart sounds and intelligent identification of congenital heart disease, which provides objective basis for heart sound auscultation and improves the accuracy of congenital heart disease diagnosis. At the present stage, the AI based cardiac auscultation technique mainly focuses on the research of AI algorithms, and the researchers have designed and summarized a variety of effective algorithms based on the characteristics of cardiac audio data, among which the mel-frequency cepstral coefficients (MFCC) is the most effective one, and widely used in the cardiac auscultation. However, the current cardiac sound analysis techniques are based on specific data sets, and have not been validated in clinic, so the performance of algorithms need to be further verified. The lack of heart sound data, especially the high-quality, standardized, publicly available heart sound database with disease labeling, further restricts the development of heart sound diagnostic analysis and its application in screening. Therefore, expert consensus is necessary in establishing an authoritative heart sound database and standardizing the heart sound auscultation screening process for congenital heart disease. This paper provides an overview of the research and application status of auscultation algorithm and hardware equipment based on AI in auscultation screening of congenital heart disease, and puts forward the problems to be solved in clinical application of AI auscultation screening technology.
Algorithms ; Artificial Intelligence ; Heart Auscultation/trends* ; Heart Defects, Congenital/diagnosis* ; Humans ; Mass Screening/methods*

Two dogs underwent a combined laparoscopic ovariectomy and total laparoscopic gastropexy. The intra-abdominal pressure and pulmonary compliance decreased, but the peak airway pressure increased at 20 min after the start of gastropexy with intracorporeal suturing. Right chest auscultation and percussion revealed reduced breath sounds and hyper-resonance. No abnormalities in the functioning of the instruments or diaphragmatic defects were detected. The tidal volume was reduced and a positive end-expiratory pressure of 5 cmH₂O was applied. The right chest of the two dogs was drained off: 950 mL (case 1) and 250 mL (case 2) of gas. After thoracentesis, the pulmonary compliance improved and surgery was completed successfully. The postoperative chest radiographs highlighted the residual right pneumothorax.
Animals ; Auscultation ; Compliance ; Dogs ; Female ; Gastropexy ; Laparoscopy ; Ovariectomy ; Percussion ; Pneumothorax ; Positive-Pressure Respiration ; Radiography, Thoracic ; Thoracentesis ; Thorax ; Tidal Volume

BACKGROUND AND OBJECTIVES: Hypertension is becoming one of the most common health conditions in children and adolescents due to increasing childhood obesity. We aimed to provide the auscultatory blood pressure (BP) normative reference values for Korean non-overweight children and adolescents. METHODS: BP measurements in children and adolescents aged 10 to 18 years were performed in the Korean National Health and Nutrition Examination Survey (KNHANES) from 1998 to 2016. BP was measured using a mercury sphygmomanometer. Sex-, age- and height-specific systolic BP (SBP) and diastolic BP (DBP) percentiles were calculated in the non-overweight children (n=10,442). We used the General Additive Model for Location Scale and Shape method to calculate BP percentiles. RESULTS: The 50th, 90th, 95th, and 99th percentiles of SBP and DBP tables and graphs of non-overweight children and adolescents aged 10 to 18 years were presented by age and height percentiles. We found that the SBP and DBP at the 95th percentile were well correlated with height. The BP tables presented by height contained BP values from 124 cm to 190 cm for boys and from 120 cm to 178 cm for girls. Boys had higher SBP and DBP. CONCLUSIONS: We provided the sex-, age- and height-specific auscultatory BP values using the KNHANES big data. These may be useful in diagnosis and treatment of hypertension in Korean children and adolescents.
Adolescent ; Auscultation ; Blood Pressure ; Child ; Diagnosis ; Female ; Humans ; Hypertension ; Korea ; Methods ; Nutrition Surveys ; Pediatric Obesity ; Reference Values ; Sphygmomanometers

BACKGROUND: As lung ultrasound (LUS) can be used to identify regional lung ventilation and collapse, we hypothesize that LUS can be better than auscultation in assessing lung isolation and determining double lumen tube (DLT) position. METHODS: A randomized controlled study was conducted in tertiary care cancer institute from November 2014 to December 2015, including 100 adult patients undergoing elective thoracic surgeries. Patients with tracheostomy, difficult airway and pleural-based pathologies were excluded. After anesthesia induction and DLT insertion, patients were randomized into group A (auscultation) and group B (LUS). Regional ventilation was assessed by experienced anesthesiologists using the respective method for each group. Final confirmation of DLT position with a bronchoscope was performed by a blinded anesthesiologist. Contingency tables were plotted to determine sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy for each method. RESULTS: Data from 91 patients were analyzed (group A = 47, group B = 44). Compared with auscultation, LUS had significantly higher sensitivity (94.1% vs. 73.3%, P = 0.010), PPV (57.1% vs. 35.5%, P = 0.044), NPV (93.8% vs. 75.0%, P = 0.018), accuracy (70.5% vs. 48.9%, P = 0.036) and required longer median time (161.5 vs. 114 s, P < 0.001) for assessment of DLT position. Differences in specificity (55.6% vs. 37.5%, P = 0.101) and area under curve (0.748; 95% CI: 0.604–0.893 vs. 0.554, 95% CI: 0.379–0.730; P = 0.109) were not significant. CONCLUSIONS: Compared to auscultation, LUS is a superior method for assessing lung isolation and determining DLT position.
Adult ; Anesthesia ; Area Under Curve ; Auscultation ; Bronchoscopes ; Double-Blind Method ; Humans ; Lung ; Methods ; One-Lung Ventilation ; Pathology ; Prospective Studies ; Sensitivity and Specificity ; Tertiary Healthcare ; Tracheostomy ; Ultrasonography ; Ventilation

An 11-year-old, castrated male dog presented with a 3-month history of cough and depression. Auscultation revealed systolic murmur and thoracic radiographs showing enlargement of both the atrium and left ventricle. Echocardiography showed thickened mitral valve and moderate-to-severe left atrial enlargement. Additionally, M-mode echocardiography showed symmetric left ventricular wall thickening and systolic anterior motion of the mitral valve, while Doppler imaging revealed high velocity turbulent flow through the left ventricular outflow tract. Based on echocardiography, this case was diagnosed with hypertrophic obstructive cardiomyopathy. After 5 months, the dog was clinically static in radiography and echocardiography.
Animals ; Auscultation ; Cardiomyopathy, Hypertrophic ; Child ; Cough ; Depression ; Dogs ; Echocardiography ; Heart Ventricles ; Humans ; Male ; Mitral Valve ; Radiography ; Systolic Murmurs

BACKGROUND: Respiration monitoring is necessary during sedation for dental treatment. Recently, acoustic respiration rate (RRa™), an acoustics-based respiration monitoring method, has been used in addition to auscultation or capnography. The accuracy of this method may be compromised in an environment with excessive noise. This study evaluated whether noise from the ultrasonic scaler affects the performance of RRa in respiratory rate measurement. METHODS: We analyzed data from 49 volunteers who underwent scaling under intravenous sedation. Clinical tests were divided into preparation, sedation, and scaling periods; respiratory rate was measured at 2-s intervals for 3 min in each period. Missing values ratios of the RRa during each period were measuerd; correlation analysis and Bland-Altman analysis were performed on respiratory rates measured by RRa and capnogram. RESULTS: Respective missing values ratio from RRa were 5.62%, 8.03%, and 23.95% in the preparation, sedation, and scaling periods, indicating an increased missing values ratio in the scaling period (P < 0.001). Correlation coefficients of the respiratory rate, measured with two different methods, were 0.692, 0.677, and 0.562 in each respective period. Mean capnography-RRa biases in Bland-Altman analyses were −0.03, −0.27, and −0.61 in each respective period (P < 0.001); limits of agreement were −4.84–4.45, −4.89–4.15, and −6.18–4.95 (P < 0.001). CONCLUSIONS: The probability of missing respiratory rate values was higher during scaling when RRa was used for measurement. Therefore, the use of RRa alone for respiration monitoring during ultrasonic scaling may not be safe.
Acoustics ; Auscultation ; Bias (Epidemiology) ; Capnography ; Dental Scaling ; Methods ; Noise ; Respiration ; Respiratory Rate ; Ultrasonics ; Volunteers