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Sökning: L773:0148 5598 OR L773:1573 689X

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1.
  • Alickovic, Emina, et al. (författare)
  • Medical Decision Support System for Diagnosis of Heart Arrhythmia using DWT and Random Forests Classifier
  • 2016
  • Ingår i: Journal of medical systems. - : SPRINGER. - 0148-5598 .- 1573-689X. ; 40:4, s. 108-
  • Tidskriftsartikel (refereegranskat)abstract
    • In this study, Random Forests (RF) classifier is proposed for ECG heartbeat signal classification in diagnosis of heart arrhythmia. Discrete wavelet transform (DWT) is used to decompose ECG signals into different successive frequency bands. A set of different statistical features were extracted from the obtained frequency bands to denote the distribution of wavelet coefficients. This study shows that RF classifier achieves superior performances compared to other decision tree methods using 10-fold cross-validation for the ECG datasets and the obtained results suggest that further significant improvements in terms of classification accuracy can be accomplished by the proposed classification system. Accurate ECG signal classification is the major requirement for detection of all arrhythmia types. Performances of the proposed system have been evaluated on two different databases, namely MIT-BIH database and St. -Petersburg Institute of Cardiological Technics 12-lead Arrhythmia Database. For MIT-BIH database, RF classifier yielded an overall accuracy 99.33 % against 98.44 and 98.67 % for the C4.5 and CART classifiers, respectively. For St. -Petersburg Institute of Cardiological Technics 12-lead Arrhythmia Database, RF classifier yielded an overall accuracy 99.95 % against 99.80 % for both C4.5 and CART classifiers, respectively. The combined model with multiscale principal component analysis (MSPCA) de-noising, discrete wavelet transform (DWT) and RF classifier also achieves better performance with the area under the receiver operating characteristic (ROC) curve (AUC) and F- measure equal to 0.999 and 0.993 for MIT-BIH database and 1 and 0.999 for and St. Petersburg Institute of Cardiological Technics 12-lead Arrhythmia Database, respectively. Obtained results demonstrate that the proposed system has capacity for reliable classification of ECG signals, and to assist the clinicians for making an accurate diagnosis of cardiovascular disorders (CVDs).
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2.
  • Baig, M. M., et al. (författare)
  • A Systematic Review of Wearable Patient Monitoring Systems – Current Challenges and Opportunities for Clinical Adoption
  • 2017
  • Ingår i: Journal of medical systems. - : Springer New York LLC. - 0148-5598 .- 1573-689X. ; 41:7
  • Tidskriftsartikel (refereegranskat)abstract
    • The aim of this review is to investigate barriers and challenges of wearable patient monitoring (WPM) solutions adopted by clinicians in acute, as well as in community, care settings. Currently, healthcare providers are coping with ever-growing healthcare challenges including an ageing population, chronic diseases, the cost of hospitalization, and the risk of medical errors. WPM systems are a potential solution for addressing some of these challenges by enabling advanced sensors, wearable technology, and secure and effective communication platforms between the clinicians and patients. A total of 791 articles were screened and 20 were selected for this review. The most common publication venue was conference proceedings (13, 54%). This review only considered recent studies published between 2015 and 2017. The identified studies involved chronic conditions (6, 30%), rehabilitation (7, 35%), cardiovascular diseases (4, 20%), falls (2, 10%) and mental health (1, 5%). Most studies focussed on the system aspects of WPM solutions including advanced sensors, wireless data collection, communication platform and clinical usability based on a specific area or disease. The current studies are progressing with localized sensor-software integration to solve a specific use-case/health area using non-scalable and ‘silo’ solutions. There is further work required regarding interoperability and clinical acceptance challenges. The advancement of wearable technology and possibilities of using machine learning and artificial intelligence in healthcare is a concept that has been investigated by many studies. We believe future patient monitoring and medical treatments will build upon efficient and affordable solutions of wearable technology. 
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4.
  • Berman, Anne H., et al. (författare)
  • Design and Development of a Telephone-Linked Care (TLC) System to Reduce Impulsivity among Violent Forensic Outpatients and Probationers
  • 2012
  • Ingår i: Journal of medical systems. - : Springer Netherlands. - 0148-5598 .- 1573-689X. ; 36:3, s. 1031-1042
  • Tidskriftsartikel (refereegranskat)abstract
    • Forensic services face the challenge of reducing relapse among clients with a history of violent crime. An automated interactive voice response (IVR) service of the complex Telephone-Linked Care (TLC) type, with a focus on reducing impulsivity, could improve the adequacy of service responses to client needs. Theoretically based in Dialectical Behavior Therapy (DBT), Cognitive Behavior Therapy (CBT) and Motivational Interviewing (MI), the forensic TLC system offers interactive conversations on coping with the emotions of anger, shame and loneliness; activities of daily life such as getting out of bed, asking for help, visiting social services and taking medication; and other areas such as hearing voices, drinking alcohol and self-critical thoughts. We describe the user´s flow through the system, with an in-depth synopsis of the hearing voices intervention. Issues regarding voluntary versus mandatory use of the system are addressed in connection with prospective introduction of the system in forensic settings.
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5.
  • Carlsson, Mats, 1965-, et al. (författare)
  • Classification of procedures in the domain of thoracic surgery : a study of relibility in coding
  • 2001
  • Ingår i: Journal of medical systems. - 0148-5598 .- 1573-689X. ; 25:1, s. 47-61
  • Tidskriftsartikel (refereegranskat)abstract
    • This paper relates a study of reliability of coding of surgical procedures in the domain of thoracic surgery. The reliability measured is inter-coder variability in form of agreement. Four classifications were used by four physicians on 100 patient cases. The classifications, having differing granularity and structure, were analyzed using a statistical method (kappa). These results are discussed and related to the differences between the classifications. One of the topics for discussion is how the granularity affects the degree of agreement, coupled to the usefulness of the classification. Also the concept of using formal methods for representing classifications is discussed, how this will affect how classifications are designed and used.
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8.
  • Dahlström, Örjan, et al. (författare)
  • Designing a decision support system for existing clinical organizational structures : Considerations from a rheumatology clinic
  • 2006
  • Ingår i: Journal of medical systems. - : Springer Science and Business Media LLC. - 0148-5598 .- 1573-689X. ; 30:5, s. 325-331
  • Tidskriftsartikel (refereegranskat)abstract
    • The aim of this study was to identify the social and organizational requirements for a decision support system (DSS) to be implemented in a clinical rheumatology setting, utilizing data-mining techniques. Field observations and focus group interviews were used for data collection. The decision-making was found to be situated, patient-focused, and long-term in nature. At the same time, the main part of peer-to-peer communication was informal. Patient records were involved in almost every decision. The conclusion is that the main challenges, when introducing a DSS at a rheumatology unit, are adapting the system to informal communication structures and integrating it with patient records. Considering incentive structures, understanding workflow and incorporating awareness are relevant issues when addressing these issues in future studies.
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10.
  • Dinka, David, et al. (författare)
  • Adding value with 3D visualization and haptic forces to radiosurgery - A small theory-based, quasi-experimental study
  • 2006
  • Ingår i: Journal of medical systems. - : Springer Science and Business Media LLC. - 0148-5598 .- 1573-689X. ; 30:4, s. 293-301
  • Tidskriftsartikel (refereegranskat)abstract
    • This study investigates the use of 3D representation and haptic technology in radiosurgery. The users, experienced users of the Leksell GammaKnife, prefer the 3D representation for constructing a first draft of their plan for neurosurgical intervention. When it comes to the final adjustments, however, they still choose the traditional 2D representation and interaction devices. The perceived control over the radiosurgical process is not considered adequate using the 3D interaction methods. Practitioners do not consider the haptic forces implemented in this test system useful. Possible explanations for these findings are discussed in the paper. © Springer Science+Business Media, Inc. 2006.
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