32 resultados para Siren


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OBJECTIVE: The objective of this study was to analyse the use of lights and siren (L&S) during transport to the hospital by the prehospital severity status of the patient and the time saved by the time of day of the mission. METHODS: We searched the Public Health Services data of a Swiss state from 1 January 2010 to 31 December 2010. All primary patient transports within the state were included (24 718). The data collected were on the use of L&S, patient demographics, the time and duration of transport, the type of mission (trauma vs. nontrauma) and the severity of the condition according to the National Advisory Committee for Aeronautics (NACA) score assigned by the paramedics and/or emergency physician. We excluded 212 transports because of missing data. RESULTS: A total of 24 506 ambulance transports met the inclusion criteria. L&S were used 4066 times, or in 16.6% of all missions. Of these, 40% were graded NACA less than 4. Overall, the mean total transport time to return to the hospital was 11.09 min (confidence interval 10.84-11.34) with L&S and 12.84 min (confidence interval 12.72-12.96) without. The difference was 1.75 min (105 s; P<0.001). For night-time runs alone, the mean time saved using L&S was 0.17 min (10.2 s; P=0.27). CONCLUSION: At present, the use of L&S seems questionable given the severity status or NACA score of transported patients. Our results should prompt the implementation of more specific regulations for L&S use during transport to the hospital, taking into consideration certain physiological criteria of the victim as well as time of day of transport.

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Sirens used by police, fire and paramedic vehicles have been designed so that they can be heard over large distances, but unfortunately the siren noise enters the vehicle and corrupts intelligibility of voice communications from the emergency vehicle to the control room. Often the siren needs to be turned off to enable the control room to hear what is being said. This paper discusses a siren noise filter system that is capable of removing the siren noise picked up by the two-way radio microphone inside the vehicle. The removal of the siren noise improves the response time for emergency vehicles and thus save lives. To date, the system has been trialed within a fire tender in a non-emergency situation, with good results.

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The development of an adaptive filter system, capable of reducing significantly the effect of siren noise within the cab of an emergency vehicle, is described. The system is capable of removing the siren noise picked up by the radio microphone inside the vehicle, without degrading the wanted voice signal, thus allowing the siren to be used at all times.

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Emergency vehicles use high-amplitude sirens to warn pedestrians and other road users of their presence. Unfortunately, the siren noise enters the vehicle and corrupts the intelligibility of two-way radio voice com-munications from the emergency vehicle to a control room. Often the siren has to be turned off to enable the control room to hear what is being said which subsequently endangers people's lives. A digital signal processing (DSP) based system for the cancellation of siren noise embedded within speech is presented. The system has been tested with the least mean square (LMS), normalised least mean square (NLMS) and affine projection algorithm (APA) using recordings from three common types of sirens (two-tone, wail and yelp) from actual test vehicles. It was found that the APA with a projection order of 2 gives comparably improved cancellation over the LMS and NLMS with only a moderate increase in algorithm complexity and code size. Therefore, this siren noise cancellation system using the APA offers an improvement in cancellation achieved by previous systems. The removal of the siren noise improves the response time for the emergency vehicle and thus the system can contribute to saving lives. The system also allows voice communication to take place even when the siren is on and as such the vehicle offers less risk of danger when moving at high speeds in heavy traffic.

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Siren Painter, attributed to; H: 1 ft. 2 in.; stamnos, red figure, paintied pottery

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Siren Painter, attributed to; H: 1 ft. 2 in.; stamnos, red figure, paintied pottery

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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

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Soitinnus: mieskuoro (TTBB).

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Soitinnus: mieskuoro (TTBB).