Mitigation of Cellular Phone Interference in ECG During Emergency Patient Transportation

2013 ◽  
Vol 4 (4) ◽  
pp. 544-552
Author(s):  
K. Satyanarayana ◽  
A. D. Sarma ◽  
P. Naga Praveen ◽  
M. Malini ◽  
D. Krishna Reddy
Keyword(s):  
Cellular Phone ◽  
Emergency Patient

scholarly journals Evaluating the Effect of the Financial Status to the Mobility Customs

2021 ◽  
Vol 10 (5) ◽  
pp. 328
Author(s):  
Gergo Pintér ◽  
Imre Felde
Keyword(s):  
Socioeconomic Status ◽  
Economic Status ◽  
Housing Prices ◽  
Principal Component ◽  
Cellular Phone ◽  
Radius Of Gyration ◽  
Financial Status ◽  
Property Price ◽  
Statistical Relationships ◽  
Commuting Patterns

In this article, we explore the relationship between cellular phone data and housing prices in Budapest, Hungary. We determine mobility indicators from one months of Call Detail Records (CDR) data, while the property price data are used to characterize the socioeconomic status at the Capital of Hungary. First, we validated the proposed methodology by comparing the Home and Work locations estimation and the commuting patterns derived from the cellular network dataset with reports of the national mini census. We investigated the statistical relationships between mobile phone indicators, such as Radius of Gyration, the distance between Home and Work locations or the Entropy of visited cells, and measures of economic status based on housing prices. Our findings show that the mobility correlates significantly with the socioeconomic status. We performed Principal Component Analysis (PCA) on combined vectors of mobility indicators in order to characterize the dependence of mobility habits on socioeconomic status. The results of the PCA investigation showed remarkable correlation of housing prices and mobility customs.

scholarly journals Impact of the first COVID-19 shutdown on patient volumes and surgical procedures of a Level I trauma center

2021 ◽  
Author(s):  
Carolin A. Kreis ◽  
Birte Ortmann ◽  
Moritz Freistuehler ◽  
René Hartensuer ◽  
Hugo Van Aken ◽  
...  
Keyword(s):  
Surgical Procedures ◽  
Trauma Center ◽  
Control Period ◽  
Open Fractures ◽  
Injury Patterns ◽  
Emergency Patient ◽  
Emergency Operations ◽  
Incidence Proportion ◽  
Level I ◽  
The Impact

Abstract Purpose In Dec 2019, COVID-19 was first recognized and led to a worldwide pandemic. The German government implemented a shutdown in Mar 2020, affecting outpatient and hospital care. The aim of the present article was to evaluate the impact of the COVID-19 shutdown on patient volumes and surgical procedures of a Level I trauma center in Germany. Methods All emergency patients were recorded retrospectively during the shutdown and compared to a calendar-matched control period (CTRL). Total emergency patient contacts including trauma mechanisms, injury patterns and operation numbers were recorded including absolute numbers, incidence proportions and risk ratios. Results During the shutdown period, we observed a decrease of emergency patient cases (417) compared to CTRL (575), a decrease of elective cases (42 vs. 13) and of the total number of operations (397 vs. 325). Incidence proportions of emergency operations increased from 8.2 to 12.2% (shutdown) and elective surgical cases decreased (11.1 vs. 4.3%). As we observed a decrease for most trauma mechanisms and injury patterns, we found an increasing incidence proportion for severe open fractures. Household-related injuries were reported with an increasing incidence proportion from 26.8 to 47.5% (shutdown). We found an increasing tendency of trauma and injuries related to psychological disorders. Conclusion This analysis shows a decrease of total patient numbers in an emergency department of a Level I trauma center and a decrease of the total number of operations during the shutdown period. Concurrently, we observed an increase of severe open fractures and emergency operations. Furthermore, trauma mechanism changed with less traffic, work and sports-related accidents.

Remembering How to Forget: An Artist's Exploration of Sound

2001 ◽  
Vol 11 ◽  
pp. 65-69 ◽  
Author(s):  
Scanner
Keyword(s):  
Public Art ◽  
Cellular Phone ◽  
Sound Art ◽  
The Public ◽  
Electronic Sound ◽  
Significant Performance ◽  
The Relationship ◽  
Digital Landscape

This article is an introduction to the work of electronic sound artist Scanner, which explores the place of memory, the cityscape and the relationship between the public and the private within contemporary sound art. Beginning with a historical look at his CD releases a decade ago, the article explores his move from his cellular phone works to his more collaborative digital projects in recent times. With descriptions of several significant performance works, public art commissions and film soundtrack work, the piece explores the resonances and meanings with the ever-changing digital landscape of a contemporary sound artist.

Organization and Response of Clinical Pathology to Ambulatory and Emergency Patient Care

1975 ◽  
Vol 6 (6) ◽  
pp. 41-45 ◽  
Author(s):  
John Bernard Henry ◽  
Bettina G. Martin ◽  
Allen L. Pusch
Keyword(s):  
Patient Care ◽  
Clinical Pathology ◽  
Emergency Patient

Analysis of a directional coupler using magnetic/dielectric hybrid transmission-line for cellular phone

2006 ◽  
Author(s):  
Kazutaka Takizawa ◽  
So Mizuta ◽  
Masahiro Nakazawa ◽  
Toshiro Sato ◽  
Kiyohito Yamasawa ◽  
...  
Keyword(s):  
Transmission Line ◽  
Directional Coupler ◽  
Cellular Phone ◽  
Hybrid Transmission ◽  
Magnetic Dielectric

Clinical testing of cellular phone ringing interference with automated external defibrillators

Resuscitation ◽  
2006 ◽  
Vol 71 (3) ◽  
pp. 391-394 ◽  
Author(s):  
Alexandre Trigano ◽  
Olivier Blandeau ◽  
Christian Dale ◽  
Man-Faï Wong ◽  
Joe Wiart
Keyword(s):  
Cellular Phone ◽  
Clinical Testing ◽  
Automated External Defibrillators

Random Forest Model for Trip End Identification Using Cellular Phone and Points of Interest Data

2021 ◽  
pp. 036119812110315
Author(s):  
Fei Yang ◽  
Yanchen Wang ◽  
Peter J. Jin ◽  
Dingbang Li ◽  
Zhenxing Yao
Keyword(s):  
Random Forest ◽  
Clustering Algorithm ◽  
Subjective Experience ◽  
Average Distance ◽  
Cellular Phone ◽  
Random Forest Model ◽  
Support Vector ◽  
Rule Based ◽  
Forest Model ◽  
Points Of Interest

Cellular phone data has been proven to be valuable in the analysis of residents’ travel patterns. Existing studies mostly identify the trip ends through rule-based or clustering algorithms. These methods largely depend on subjective experience and users’ communication behaviors. Moreover, limited by privacy policy, the accuracy of these methods is difficult to assess. In this paper, points of interest data is applied to supplement cellular phone data’s missing information generated by users’ behaviors. Specifically, a random forest model for trip end identification is proposed using multi-dimensional attributes. A field data acquisition test is designed and conducted with communication operators to implement synchronized cellular phone data and real trip information collection. The proposed identification approach is empirically evaluated with real trip information. Results show that the overall trip end detection precision and recall reach 95.2% and 88.7% with an average distance error of 269 m, and the time errors of the trip ends are less than 10 min. Compared with the rule-based approach, clustering algorithm, naive Bayes method, and support vector machine, the proposed method has better performance in accuracy and consistency.

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