Smart monitoring systems for alert generation during anaesthesia

....... ............................................................................................................................................... iv TABLE OF CONTENTS .................................................................................................................................... vi LIST OF FIGURES ............................................................................................................................................. ix LIST OF TABLES ............................................................................................................................................... xi STATEMENT OF ORIGINALITY .................................................................................................................. xii LIST OF ABBREVIATIONS ........................................................................................................................... xiii CHAPTER

[1]  Guy A Dumont,et al.  An Evaluation of a Novel Software Tool for Detecting Changes in Physiological Monitoring , 2009, Anesthesia and analgesia.

[2]  A.Zadeh Lotfi.  The Birth and Evolution of Fuzzy Logic , 1990 .

[3]  Lotfi A. Zadeh,et al.  The Concepts of a Linguistic Variable and its Application to Approximate Reasoning , 1975 .

[4]  Achieving operating room efficiency through process integration. , 2003, Healthcare financial management : journal of the Healthcare Financial Management Association.

[5]  T. Sukuvaara,et al.  A knowledge-based alarm system for monitoring cardiac operated patients-assessment of clinical performance , 1994, International journal of clinical monitoring and computing.

[6]  P. Szolovits,et al.  Computers and clinical decision making: Whether, how, and for whom? , 1979, Proceedings of the IEEE.

[7]  M. Krajnak,et al.  Fuzzy Expert Systems For Sequential Pattern Recognition For Patient Status Monitoring in Operating Room , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[8]  A. Smith,et al.  Detection of renal allograft rejection by computer. , 1983, British medical journal.

[9]  M. J. Harrison,et al.  The relationship between change in blood pressure, blood pressure and time , 2000, Anaesthesia.

[10]  Lotfi A. Zadeh,et al.  The concept of a linguistic variable and its application to approximate reasoning-III , 1975, Inf. Sci..

[11]  E.H. Shortliffe,et al.  Knowledge engineering for medical decision making: A review of computer-based clinical decision aids , 1979, Proceedings of the IEEE.

[12]  S. Lawless.  Crying wolf: False alarms in a pediatric intensive care unit , 1994, Critical care medicine.

[13]  M. Imhoff,et al.  Alarm Algorithms in Critical Care Monitoring , 2006, Anesthesia and analgesia.

[14]  M. Bhende.  End-tidal carbon dioxide monitoring in pediatrics: concepts and technology. , 2001, Journal of postgraduate medicine.

[15]  Jeffrey B. Cooper,et al.  Preventable anesthesia mishaps: a study of human factors* , 1978, Anesthesiology.

[16]  Enrico W. Coiera,et al.  Intelligent monitoring and control of dynamic physiological systems , 1993, Artif. Intell. Medicine.

[17]  E. H. Mamdani,et al.  Advances in the linguistic synthesis of fuzzy controllers , 1976 .

[18]  Mahdi Mahfouf,et al.  Fuzzy modelling for controlled anaesthesia in hospital operating theatres , 2006 .

[19]  C W Frei,et al.  Model-based automatic feedback control versus human control of end-tidal isoflurane concentration using low-flow anaesthesia. , 2000, British journal of anaesthesia.

[20]  G. D. Bergland,et al.  A guided tour of the fast Fourier transform , 1969, IEEE Spectrum.

[21]  C. Ko,et al.  The Aging Population and Its Impact on the Surgery Workforce , 2003, Annals of surgery.

[22]  S.P. Nelwan,et al.  Ubiquitous mobile access to real-time patient monitoring data , 2002, Computers in Cardiology.

[23]  Matthias Görges,et al.  Improving Alarm Performance in the Medical Intensive Care Unit Using Delays and Clinical Context , 2009, Anesthesia and analgesia.

[24]  Bhupendra Gohil,et al.  Diagnostic alarms in anaesthesia , 2007 .

[25]  McClanahan.  SCADA and IP: is network convergence really here? , 2003 .

[26]  S. Cotev,et al.  Adverse occurrences in intensive care units. , 1980, JAMA.

[27]  Sylvie Charbonnier,et al.  On-line segmentation algorithm for continuously monitored data in intensive care units , 2004, IEEE Transactions on Biomedical Engineering.

[28]  Charles E. Billings,et al.  The impact of technology on physician cognition and performance , 2005, Journal of Clinical Monitoring.

[29]  S. Mahalingam,et al.  CSRI-an expert system tool and its applications , 1989, Proceedings of the IEEE National Aerospace and Electronics Conference.

[30]  RICHARD C. WATT,et al.  Integrated Monitoring Can Detect Critical Events and Improve Alarm Accuracy , 1991, Journal of clinical engineering.

[31]  E. Backer,et al.  Fuzzy Incremental Learning of Expert Rules for a Knowledge-Based Anesthesia Monitor , 1996 .

[32]  O Barnett,et al.  Evaluation of a problem-based access knowledge system using triangulation methods. , 1995, Medinfo. MEDINFO.

[33]  M. Quinn.  Semipractical alarms: A parable , 1989, Journal of clinical monitoring.

[34]  D. A. Linkens,et al.  Intelligent control of anaesthesia , 1998 .

[35]  I Korhonen,et al.  Building the IMPROVE Data Library. , 1997, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.

[36]  M J Harrison,et al.  Computer-Enhanced Diagnosis of Malignant Hyperpyrexia , 1999, Anaesthesia and intensive care.

[37]  Guy De Tré,et al.  The application of fuzzy logic and soft computing in information management , 2009, Fuzzy Sets Syst..

[38]  M. Chambrin,et al.  Multicentric study of monitoring alarms in the adult intensive care unit (ICU): a descriptive analysis , 1999, Intensive Care Medicine.

[39]  H.-J. Zimmermann,et al.  A fuzzy logic approach to intelligent alarms in cardioanesthesia , 1994, Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference.

[40]  C. Tsien,et al.  Poor prognosis for existing monitors in the intensive care unit. , 1997, Critical care medicine.

[41]  A. Macario,et al.  Where Are the Costs in Perioperative Care?: Analysis of Hospital Costs and Charges for Inpatient Surgical Care , 1995 .

[42]  Cungen Cao,et al.  Artifact Detection in the PO2 and PCO2 Time Series Monitoring Data from Preterm Infants , 2004, Journal of Clinical Monitoring and Computing.

[43]  J.D. McDonald.  Developing and defining basic SCADA system concepts , 1993, [Proceedings] 1993 Rural Electric Power Conference. Papers Presented at the 37th Annual Conference.

[44]  Stephen L. Chiu,et al.  Fuzzy Model Identification Based on Cluster Estimation , 1994, J. Intell. Fuzzy Syst..

[45]  Robert S. H. Istepanian,et al.  Design of a telemedicine system using a mobile telephone , 2001, IEEE Transactions on Information Technology in Biomedicine.

[46]  Kristi Turner,et al.  Computerized ventilator data selection: artifact rejection and data reduction , 1997, International journal of clinical monitoring and computing.

[47]  P Niederer,et al.  Improved monitoring of preterm infants by Fuzzy Logic. , 1996, Technology and health care : official journal of the European Society for Engineering and Medicine.

[48]  J M Ansermino,et al.  Clinical evaluation of algorithms for context-sensitive physiological monitoring in children. , 2009, British journal of anaesthesia.

[49]  N. Bressan,et al.  Synchronization Software for Automation in Anesthesia , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[50]  Ira J. Haimowitz,et al.  Managing temporal worlds for medical trend diagnosis , 1996, Artif. Intell. Medicine.

[51]  H.-J. Zimmermann,et al.  A knowledge-based approach to intelligent alarms in anesthesia , 1991, IEEE Engineering in Medicine and Biology Magazine.

[52]  E. Backer,et al.  Knowledge acquisition using a fuzzy machine-learning algorithm for a knowledge-based anesthesia monitor , 1996, Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[53]  G. A. Miller.  THE PSYCHOLOGICAL REVIEW THE MAGICAL NUMBER SEVEN, PLUS OR MINUS TWO: SOME LIMITS ON OUR CAPACITY FOR PROCESSING INFORMATION 1 , 1956 .

[54]  R. G. Mark,et al.  Reduction of false arterial blood pressure alarms using signal quality assessement and relationships between the electrocardiogram and arterial blood pressure , 2004, Medical and Biological Engineering and Computing.

[55]  Ki H. Chon,et al.  A Robust Method for Detection of Linear and Nonlinear Interactions: Application to Renal Blood Flow Dynamics , 2006, Annals of Biomedical Engineering.

[56]  Allon Guez,et al.  System theoretic approach to medical diagnosis , 1991, [1991] Computer-Based Medical Systems@m_Proceedings of the Fourth Annual IEEE Symposium.

[57]  L. A. Zadeh.  Computing with words (CW) and its application to decision support and systems analysis , 2003, IEEE International Symposium on Intelligent Signal Processing, 2003.

[58]  M J Harrison,et al.  Statistics‐based alarms from sequential physiological measurements , 2007, Anaesthesia.

[59]  A. Al-Jumaily,et al.  Intelligent Monitoring of Critical Pathological Events during Anesthesia , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[60]  Minimum standards for transport of critically ill patients. , 2003, Emergency medicine.

[61]  L. Zadeh.  Fuzzy sets as a basis for a theory of possibility , 1999 .

[62]  S. Mavrogeni,et al.  Transmission of electrocardiograms from a moving ambulance , 1998, Journal of telemedicine and telecare.

[63]  L.G. Deneault,et al.  An integrative display for patient monitoring , 1990, 1990 IEEE International Conference on Systems, Man, and Cybernetics Conference Proceedings.

[64]  Lotfi A. Zadeh,et al.  Outline of a New Approach to the Analysis of Complex Systems and Decision Processes , 1973, IEEE Trans. Syst. Man Cybern..

[65]  Charles Safran,et al.  Making ICU alarms meaningful: a comparison of traditional vs. trend-based algorithms , 1999, AMIA.

[66]  Peter J. Schreiber,et al.  Structured alarm systems for the operating room , 2005, Journal of Clinical Monitoring.

[67]  Lotfi A. Zadeh,et al.  Soft computing and fuzzy logic , 1994, IEEE Software.

[68]  Paul Grant,et al.  Fuzzy logic and decision-making in anaesthetics. , 2005, Journal of the Royal Society of Medicine.

[69]  Evor L. Hines,et al.  An investigation into the use of neural networks for an expert system in nuclear medicine image analysis , 1989 .

[70]  Lotfi A. Zadeh,et al.  Is there a need for fuzzy logic? , 2008, NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society.

[71]  J. Ansermino,et al.  A Knowledge Authoring Tool for Clinical Decision Support , 2008, Journal of Clinical Monitoring and Computing.

[72]  D. Gaba,et al.  Crisis Management in Anesthesiology , 1993 .

[73]  Jyh-Shing Roger Jang,et al.  ANFIS: adaptive-network-based fuzzy inference system , 1993, IEEE Trans. Syst. Man Cybern..

[74]  Mohammad Bagher Shamsollahi,et al.  Estimating the depth of anesthesia using fuzzy soft computation applied to EEG features , 2008, Intell. Data Anal..

[75]  R. Watt,et al.  Alarms and anesthesia: challenges in design of intelligent systems for patient monitoring , 1993, IEEE Engineering in Medicine and Biology Magazine.

[76]  A J Asbury,et al.  Fuzzy logic: new ways of thinking for anaesthesia. , 1995, British journal of anaesthesia.

[77]  S. M. Mohiddin.  Medical differential diagnostic system (DDS) using fuzzy inferencing methods , 1990 .

[78]  Cor J. Kalkman,et al.  Influence of Pulse Oximeter Settings on the Frequency of Alarms and Detection of Hypoxemia , 1998, Journal of Clinical Monitoring and Computing.

[79]  E. H. Mamdani,et al.  An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller , 1999, Int. J. Man Mach. Stud..

[80]  Sotiris Pavlopoulos,et al.  A novel emergency telemedicine system based on wireless communication technology-AMBULANCE , 1998, IEEE Transactions on Information Technology in Biomedicine.

[81]  Michael J Harrison,et al.  The enhancement of intra-operative diagnostics and decision-making using computational methods , 2005 .

[82]  Hoay Beng Gooi,et al.  Internet-based SCADA display system , 2002 .

[83]  E. Czogala,et al.  Decision making by means of probabilistic sets in medical expert systems , 1988, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[84]  A. Atz,et al.  Hemodynamic effects of inspired carbon dioxide after the Norwood procedure. , 2001, The Annals of thoracic surgery.

[85]  Yuan-Ting Zhang,et al.  Implementation of a WAP-based telemedicine system for patient monitoring , 2003, IEEE Transactions on Information Technology in Biomedicine.

[86]  T. Schacker,et al.  Clinical and Epidemiologic Features of Primary HIV Infection , 1996, Annals of Internal Medicine.

[87]  Alan Morris.  Developing and Implementing Computerized Protocols for Standardization of Clinical Decisions , 2000, Annals of Internal Medicine.

[88]  J. Pollet.  Developing a solid SCADA security strategy , 2002, 2nd ISA/IEEE Sensors for Industry Conference,.

[89]  Mahdi Mahfouf,et al.  A Fuzzy Decision Support System for Therapy Administration in Cardiovascular Intensive Care Patients , 2007, 2007 IEEE International Fuzzy Systems Conference.

[90]  C. Gwinnutt.  Clinical Anaesthesia , 1943 .

[91]  E. Shortliffe.  Clinical decision-support systems , 1990 .

[92]  K. Nieminen,et al.  A clinical description of the IMPROVE data library , 1997, IEEE Engineering in Medicine and Biology Magazine.

[93]  James C. Bezdek,et al.  Pattern Recognition with Fuzzy Objective Function Algorithms , 1981, Advanced Applications in Pattern Recognition.

[94]  J. Derrick,et al.  The Application of a Modified Proportional-Derivative Control Algorithm to Arterial Pressure Alarms in Anesthesiology , 2004, Journal of Clinical Monitoring and Computing.

[95]  Marios S. Pattichis,et al.  Wireless telemedicine systems: an overview , 2002 .

[96]  R.H. McClanahan.  The benefits of networked SCADA systems utilizing IP-enabled networks , 2002, 2002 Rural Electric Power Conference. Papers Presented at the 46th Annual Conference (Cat. No. 02CH37360).

[97]  Michio Sugeno,et al.  Industrial Applications of Fuzzy Control , 1985 .

[98]  Robert F. Dacey.  CRITICAL INFRASTRUCTURE PROTECTION Challenges in Securing Control Systems , 2003 .

[99]  A. Mäkivirta,et al.  The median filter as a preprocessor for a patient monitor limit alarm system in intensive care. , 1991, Computer methods and programs in biomedicine.

[100]  Douglas G. Altman,et al.  BMC Medical Informatics and Decision Making , 2005 .

[101]  S L Shafer,et al.  Pharmacokinetics and Pharmacodynamics of Remifentanil: II. Model Application , 1997, Anesthesiology.

[102]  Greg W. Rouse,et al.  Anatomy , 1836, The British and foreign medical review.

[103]  Aldo Cipriano,et al.  An Expert System for Monitor Alarm Integration , 2004, Journal of Clinical Monitoring and Computing.

[104]  S. Shafer,et al.  The Influence of Method of Administration and Covariates on the Pharmacokinetics of Propofol in Adult Volunteers , 1998, Anesthesiology.

[105]  Lotfi A. Zadeh,et al.  Generalized theory of uncertainty (GTU) - principal concepts and ideas , 2006, Comput. Stat. Data Anal..

[106]  G. Pestel,et al.  Automatic Algorithm for Monitoring Systolic Pressure Variation and Difference in Pulse Pressure , 2009, Anesthesia and analgesia.

[107]  Chuen-Tsai Sun,et al.  Neuro-fuzzy modeling and control , 1995, Proc. IEEE.

[108]  Metin Akay,et al.  Detection and Estimation Methods for Biomedical Signals , 1996 .

[109]  H. Kundel,et al.  Measurement of observer agreement. , 2003, Radiology.

[110]  W. R. Block,et al.  Advanced SCADA concepts , 1995 .