3 research outputs found

    Human gait data mining by symbol based descriptive features

    Get PDF
    Abstract-Most medical applications which include large dataset require search by example capability. Such similaritybased retrieval has attracted a great deal of attention in recent years. Although several different approaches have appeared, most are not specialized for problems of time series signals, typically found in gait analysis or ECG. This paper proposes an approach for efficient processing of human gait by using symbolization of different features by means of feature description. We evaluated this approach against database that holds limited set of kinematics, kinetic and EMG data, describing simple step (a subset of standard gait variables). The measurement was performed in the Biomechanics Laboratory at the Faculty of Kinesiology, University of Zagreb, using 2002-ELITE system with Kistler platform (40 cm by 60 cm)

    Assessment of alcohol use among methadone maintenance patients by direct ethanol metabolites and self-reports

    Full text link
    BACKGROUND: Heavy alcohol consumption may accelerate the progression of hepatitis C (HCV)-related liver disease and/or limit efforts at antiviral treatment. As most of the patients in methadone maintenance treatment (MMT) suffer from hepatitis C infection, this study was conducted to identify the alcohol intake among these patients at a Swiss Psychiatric University Clinic by self-reports and direct ethanol metabolites as biomarkers of ethanol consumption. PATIENTS AND METHODS: A convenience sample of 40 MMT patients (15 women, 25 men; median age 39 years) of the total 124 patients was asked and consented to participate in this study. This sample was not different in age, gender distribution, and rate of hepatitis C infection from the total sample. The Alcohol Use Disorders Identification Test (AUDIT) and self-reported ethanol intake during the previous 7 days were assessed. In addition, ethyl glucuronide (EtG) in urine, and fatty acid ethyl esters (FAEEs) and EtG in hair were determined using LC-MS/MS and gas chromatograph/mass spectrometer. The limit of quantitation for UEtG, HEtG, and FAEEs were 0.1 mg/l, 2.3 pg/mg, and 0.1 ng/mg, respectively. RESULTS: Fourteen participants reported abstinence from alcohol for the previous 7 days. AUDIT scores were > or =8 in 15 male and >5 in 5 female participants. Direct ethanol metabolites were as follows (median, min, max, standard deviation): UEtG (19 positives; 9.91, 1.38 to 251, 62.39 mg/l); the values of HEtG were 17.65, 0 to 513, 105.62 pg/mg [in 2 cases no material, 8 abstinent (up to 7 pg/mg), 15 social drinkers (up to 50 g per day), and 15 excessive users (>50/60 g/d)]. For the 13 cases, where enough material for additional determination of HFAEEs was available, the values were 0.32, 0 to 1.32, 0.44 ng/mg. Among the 30 HEtG-positive participants, 20 had not reported the corresponding ethanol intake using question 1 (frequency) and 2 (quantity) of the AUDIT. Of the 14 participants reporting no alcohol intake during the previous 7 days, 4 were UEtG-positive. HEtG and AUDIT correlated significantly (r = 0.622, p < 0.0001), but this was not the case for UEtG and self-reported ethanol intake during the previous 7 days. CONCLUSION: (1) HEtG identified 20 cases of daily ethanol intake of more than 20 g, that would have been missed by the sole use of question 1 (frequency) and 2 (quantity) of the AUDIT. (2) Using the total score of the AUDIT, HEtG confirmed 10 more cases positive for alcohol intake. (3) Episodic heavy drinking is with 22.5% more frequent than in general population, and (4) of the 14 participants who reported no alcohol intake during the previous 7 days, 4 were UEtG positive. Improved detection of alcohol consumption, which is hazardous or harmful in the context of HCV and opiate dependence, would allow for earlier intervention in this population which is at particular risk of liver disease and fatal respiratory-depressed overdose. The combined use of self-reports and direct ethanol metabolites seems promising

    Satisfaction with psychiatric in-patient care as rated by patients at discharge from hospitals in 11 countries

    No full text
    Purpose: There is disregard in the scientific literature for the evaluation of psychiatric in-patient care as rated directly by patients. In this context, we aimed to explore satisfaction of people treated in mental health in-patient facilities. The project was a part of the Young Psychiatrist Program by the Association for the Improvement of Mental Health Programmes. Methods: This is an international multicentre cross-sectional study conducted in 25 hospitals across 11 countries. The research team at each study site approached a consecutive target sample of 30 discharged patients to measure their satisfaction using the five-item study-specific questionnaire. Individual and institution level correlates of ‘low satisfaction’ were examined by comparisons of binary and multivariate associations in multilevel regression models. Results: A final study sample consisted of 673 participants. Total satisfaction scores were highly skewed towards the upper end of the scale, with a median total score of 44 (interquartile range 38–48) out of 50. After taking clustering into account, the only independent correlates of low satisfaction were schizophrenia diagnosis and low psychiatrist to patient ratio. Conclusion: Further studies on patients’ satisfaction should additionally pay attention to treatment expectations formed by the previous experience of treatment, service-related knowledge, stigma and patients’ disempowerment, and power imbalance.</p
    corecore