1.Corrigendum: Inpatient hypospadias care: Trends and outcomes from the American nationwide inpatient sample.
Christian MEYER ; Shyam SUKUMAR ; Akshay SOOD ; Julian HANSKE ; Malte VETTERLEIN ; Jack S ELDER ; Margit FISCH ; Quoc Dien TRINH ; Ariella A FRIEDMAN
Korean Journal of Urology 2015;56(9):670-670
In this paper, title was misprinted unintentionally.
2.A hybrid method for fundamental heart sound segmentation using group-sparsity denoising and variational mode decomposition
V G SUJADEVI ; Neethu MOHAN ; S Sachin KUMAR ; S AKSHAY ; K P SOMAN
Biomedical Engineering Letters 2019;9(4):413-424
Segmentation of fundamental heart sounds–S1 and S2 is important for automated monitoring of cardiac activity including diagnosis of the heart diseases. This pa-per proposes a novel hybrid method for S1 and S2 heart sound segmentation using group sparsity denoising and variation mode decomposition (VMD) technique. In the proposed method, the measured phonocardiogram (PCG) signals are denoised using group sparsity algorithm by exploiting the group sparse (GS) property of PCG signals. The denoised GS-PCG signals are then decomposed into subsequent modes with specific spectral characteristics using VMD algorithm. The appropriate mode for further processing is selected based on mode central frequencies and mode energy. It is then followed by the extraction of Hilbert envelope (HEnv) and a thresholding on the selected mode to segment S1 and S2 heart sounds. The performance advantage of the proposed method is verified using PCG signals from benchmark databases namely eGeneralMedical, Littmann, Washington, and Michigan. The proposed hybrid algorithm has achieved a sensitivity of 100%, positive predictivity of 98%, accuracy of 98% and detection error rate of 1.5%. The promising results obtained suggest that proposed approach can be considered for automated heart sound segmentation.
Benchmarking
;
Diagnosis
;
Heart Diseases
;
Heart Sounds
;
Heart
;
Methods
;
Michigan
;
Washington
3.Inpatients hypospadias care: Trends and outcomes from the American nationwide inpatient sample.
Christian MEYER ; Shyam SUKUMAR ; Akshay SOOD ; Julian HANSKE ; Malte VETTERLEIN ; Jack S ELDER ; Margit FISCH ; Quoc Dien TRINH ; Ariella A FRIEDMAN
Korean Journal of Urology 2015;56(8):594-600
PURPOSE: Hypospadias is the most common congenital penile anomaly. Information about current utilization patterns of inpatient hypospadias repair as well as complication rates remain poorly evaluated. MATERIALS AND METHODS: The Nationwide Inpatient Sample was used to identify all patients undergoing inpatient hypospadias repair between 1998 and 2010. Patient and hospital characteristics were attained and outcomes of interest included intra- and immediate postoperative complications. Utilization was evaluated temporally and also according to patient and hospital characteristics. Predictors of complications and excess length of stay were evaluated by logistic regression models. RESULTS: A weighted 10,201 patients underwent inpatient hypospadias repair between 1998 and 2010. Half were infants (52.2%), and were operated in urban and teaching hospitals. Trend analyses demonstrated a decline in incidence of inpatient hypospadias repair (estimated annual percentage change, -6.80%; range, -0.51% to -12.69%; p=0.037). Postoperative complication rate was 4.9% and most commonly wound-related. Hospital volume was inversely related to complication rates. Specifically, higher hospital volume (>31 cases annually) was the only variable associated with decreased postoperative complications. CONCLUSIONS: Inpatient hypospadias repair have substantially decreased since the late 1990's. Older age groups and presumably more complex procedures constitute most of the inpatient procedures nowadays.
Adolescent
;
Adult
;
Age Distribution
;
Child
;
Child, Preschool
;
Hospitalization/statistics & numerical data/*trends
;
Humans
;
Hypospadias/epidemiology/*surgery
;
Infant
;
Length of Stay/statistics & numerical data/trends
;
Male
;
Outcome Assessment (Health Care)
;
Postoperative Complications/epidemiology
;
United States/epidemiology
;
Workload/statistics & numerical data
;
Young Adult