The Experts below are selected from a list of 102 Experts worldwide ranked by ideXlab platform
Richard H Epstein - One of the best experts on this subject based on the ideXlab platform.
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a technical evaluation of wireless connectivity from patient monitors to an anesthesia information management system during intensive care Unit Surgery
Anesthesia & Analgesia, 2016Co-Authors: Allan F Simpao, Jorge A Galvez, Randall W England, Elicia C Wartman, James H Scott, Michael M Hamid, Mohamed A Rehman, Richard H EpsteinAbstract:Abstract Surgical procedures performed at the bedside in the neonatal intensive care Unit (NICU) at The Children's Hospital of Philadelphia were documented using paper anesthesia records in contrast to the operating rooms, where an anesthesia information management system (AIMS) was used for all cases. This was largely because of logistical problems related to connecting cables between the bedside monitors and our portable AIMS workstations. We implemented an AIMS for documentation in the NICU using wireless adapters to transmit data from bedside monitoring equipment to a portable AIMS workstation. Testing of the wireless AIMS during simulation in the presence of an electrosurgical generator showed no evidence of interference with data transmission. Thirty NICU surgical procedures were documented via the wireless AIMS. Two wireless cases exhibited brief periods of data loss; one case had an extended data gap because of adapter power failure. In comparison, in a control group of 30 surgical cases in which wired connections were used, there were no data gaps. The wireless AIMS provided a simple, unobtrusive, portable alternative to paper records for documenting anesthesia records during NICU bedside procedures.
Allan F Simpao - One of the best experts on this subject based on the ideXlab platform.
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a technical evaluation of wireless connectivity from patient monitors to an anesthesia information management system during intensive care Unit Surgery
Anesthesia & Analgesia, 2016Co-Authors: Allan F Simpao, Jorge A Galvez, Randall W England, Elicia C Wartman, James H Scott, Michael M Hamid, Mohamed A Rehman, Richard H EpsteinAbstract:Abstract Surgical procedures performed at the bedside in the neonatal intensive care Unit (NICU) at The Children's Hospital of Philadelphia were documented using paper anesthesia records in contrast to the operating rooms, where an anesthesia information management system (AIMS) was used for all cases. This was largely because of logistical problems related to connecting cables between the bedside monitors and our portable AIMS workstations. We implemented an AIMS for documentation in the NICU using wireless adapters to transmit data from bedside monitoring equipment to a portable AIMS workstation. Testing of the wireless AIMS during simulation in the presence of an electrosurgical generator showed no evidence of interference with data transmission. Thirty NICU surgical procedures were documented via the wireless AIMS. Two wireless cases exhibited brief periods of data loss; one case had an extended data gap because of adapter power failure. In comparison, in a control group of 30 surgical cases in which wired connections were used, there were no data gaps. The wireless AIMS provided a simple, unobtrusive, portable alternative to paper records for documenting anesthesia records during NICU bedside procedures.
James T. Kwok - One of the best experts on this subject based on the ideXlab platform.
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IJCNN - Dynamic Unit Surgery for Deep Neural Network Compression and Acceleration
2019 International Joint Conference on Neural Networks (IJCNN), 2019Co-Authors: James T. KwokAbstract:Successful deep neural network models tend to possess millions of parameters. Reducing the size of such models by pruning parameters has recently earned significant interest from the research commUnity, allowing more compact models with similar performance level. While pruning parameters usually result in large sparse weight tensors which cannot easily lead to proportional improvement in computational efficiency, pruning filters or entire Units allow readily available off-the-shelf libraries to harness the benefit of smaller architecture. One of the most well-known aspects of network pruning is that the final retained performance can be improved by making the process of pruning more gradual. Most existing techniques smooth the process by repeating the technique (multi-pass) at increasing pruning ratios, or by applying the method in a layer-wise fashion. In this paper, we introduce Dynamic Unit Surgery (DUS) that smooths the process in a novel way by using decaying mask values, instead of multi-pass or layer-wise treatment. While multi-pass schemes entirely discard network components pruned at the early stage, DUS allows recovery of such components. We empirically show that DUS achieves competitive performance against existing state-of-the-art pruning techniques in multiple image classification tasks. In CIFAR10, we prune VGG16 network to use 5% of the parameters and 23% of FLOPs while achieving 6.65% error rate with no degradation from the original network. We also explore the method’s application to transfer learning environment for fine-grained image classification and report its competitiveness against state-of-the-art baseline.
Mohamed A Rehman - One of the best experts on this subject based on the ideXlab platform.
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a technical evaluation of wireless connectivity from patient monitors to an anesthesia information management system during intensive care Unit Surgery
Anesthesia & Analgesia, 2016Co-Authors: Allan F Simpao, Jorge A Galvez, Randall W England, Elicia C Wartman, James H Scott, Michael M Hamid, Mohamed A Rehman, Richard H EpsteinAbstract:Abstract Surgical procedures performed at the bedside in the neonatal intensive care Unit (NICU) at The Children's Hospital of Philadelphia were documented using paper anesthesia records in contrast to the operating rooms, where an anesthesia information management system (AIMS) was used for all cases. This was largely because of logistical problems related to connecting cables between the bedside monitors and our portable AIMS workstations. We implemented an AIMS for documentation in the NICU using wireless adapters to transmit data from bedside monitoring equipment to a portable AIMS workstation. Testing of the wireless AIMS during simulation in the presence of an electrosurgical generator showed no evidence of interference with data transmission. Thirty NICU surgical procedures were documented via the wireless AIMS. Two wireless cases exhibited brief periods of data loss; one case had an extended data gap because of adapter power failure. In comparison, in a control group of 30 surgical cases in which wired connections were used, there were no data gaps. The wireless AIMS provided a simple, unobtrusive, portable alternative to paper records for documenting anesthesia records during NICU bedside procedures.
Michael M Hamid - One of the best experts on this subject based on the ideXlab platform.
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a technical evaluation of wireless connectivity from patient monitors to an anesthesia information management system during intensive care Unit Surgery
Anesthesia & Analgesia, 2016Co-Authors: Allan F Simpao, Jorge A Galvez, Randall W England, Elicia C Wartman, James H Scott, Michael M Hamid, Mohamed A Rehman, Richard H EpsteinAbstract:Abstract Surgical procedures performed at the bedside in the neonatal intensive care Unit (NICU) at The Children's Hospital of Philadelphia were documented using paper anesthesia records in contrast to the operating rooms, where an anesthesia information management system (AIMS) was used for all cases. This was largely because of logistical problems related to connecting cables between the bedside monitors and our portable AIMS workstations. We implemented an AIMS for documentation in the NICU using wireless adapters to transmit data from bedside monitoring equipment to a portable AIMS workstation. Testing of the wireless AIMS during simulation in the presence of an electrosurgical generator showed no evidence of interference with data transmission. Thirty NICU surgical procedures were documented via the wireless AIMS. Two wireless cases exhibited brief periods of data loss; one case had an extended data gap because of adapter power failure. In comparison, in a control group of 30 surgical cases in which wired connections were used, there were no data gaps. The wireless AIMS provided a simple, unobtrusive, portable alternative to paper records for documenting anesthesia records during NICU bedside procedures.
