Data Collection System (data + collection_system)

Distribution by Scientific Domains

Selected Abstracts

Wearable Data Collection System for Online Gait Stability Analysis

Tomaz Karcnik DSc
Abstract We had shown in our previous research that the stability assessment and control are essential for generation of faster and more energy efficient functional electrical stimulation (FES) and/or crutch-assisted gait. The objective of our recent research work has been to design a wearable and portable system for gait stability analysis with online capabilities that is also applicable to crutch-assisted gait modes. The developed wearable stability assessment system for as yet only biped gait consists of foot switches and goniometers attached to the leg joints. The instantaneous static and dynamic stability is, within the wearable system, assessed from the trajectory of the estimated body center of gravity (COGHAT) and the supporting area shape/size as derived from step length and foot-floor contact state. We used motion analysis system data as reference for testing the wearable system accuracy. The wearable system was tested on five healthy subjects and one above-knee amputee. It proved to be reasonably accurate if compared to the classical, motion analysis system based method. However, additional work is required to port the system to the FES assisted and/or crutch assisted gait. [source]

Financial Centres and the Geography of Capital Flows

Francis E. Warnock
A geographical mismatch is evident in portfolio flows data. Because the data collection system was designed to measure cross-border transactions with foreign counterparties who are often intermediaries, the majority of flows are attributed to financial centres. We quantify this geographical mismatch by using the bilateral capital flows data to estimate bilateral debt and equity positions between the USA and over 40 countries and comparing those estimates with data from benchmark surveys. Our findings have implications for researchers and policy makers who use capital flows data or flows-based positions estimates. [source]

Trends in the incidence of ectopic pregnancy in England and Wales from 1966 to 1996

M. Rajkhowa Subspecialist Trainee (Reproductive Medicine)
Objective To examine the incidence of ectopic pregnancy over the period 1966 to 1996. Setting England and Wales. Design Use of official statistics on hospital discharges, maternities, legal abortions and estimated populations of women aged 15,44 years. Main outcome measures Incidence rates of ectopic pregnancies. Results Between 1966 to 1970 and 1994 to 1996 the recorded incidence increased 4.5-fold from 3.45 to 15.5 per 1000 maternities, 3.8-fold from 3.25 to 12.4 per 1000 pregnancies and 3.1-fold from 30.2 to 94.8 per 100,000 women aged 15,44. The rate of increase was not uniform. Incidence approximately doubled between 1966 and 1985, when the official data collection system changed. By 1989, when data from the new system became available, there had been a further almost doubling of recorded incidence. Subsequently, the upward trend appears to have continued until 1991 to 1992 and has remained stable in the last four years of the study. The trends were similar in each of three 10-year age groups. Conclusions The recorded incidence of ectopic pregnancy has increased markedly over the last three decades. This may be partly due to artefacts of data recording and more sensitive diagnostic tests, but it is likely that the actual incidence has increased, probably due to a sexually transmitted agent. [source]

Short-term prediction of motorway travel time using ANPR and loop data

Yanying LiArticle first published online: 28 MAY 200
Abstract Travel time is a good operational measure of the effectiveness of transportation systems. The ability to accurately predict motorway and arterial travel times is a critical component for many intelligent transportation systems (ITS) applications. Advanced traffic data collection systems using inductive loop detectors and video cameras have been installed, particularly for motorway networks. An inductive loop can provide traffic flow at its location. Video cameras with image-processing software, e.g. Automatic Number Plate Recognition (ANPR) software, are able to provide travel time of a road section. This research developed a dynamic linear model (DLM) model to forecast short-term travel time using both loop and ANPR data. The DLM approach was tested on three motorway sections in southern England. Overall, the model produced good prediction results, albeit large prediction errors occurred at congested traffic conditions due to the dynamic nature of traffic. This result indicated advantages of use of the both data sources. Copyright 2008 John Wiley & Sons, Ltd. [source]

Transplant Data Collection: You Get What You Pay for

R. B. Freeman
Not surprisingly, separately funded, supported and incentivized transplant data collection systems are not completely concordant, as illustrated by comparing the SRTR to the A2ALL data. Please see article by Gillespie et al on page 1630. [source]