41 research outputs found

    Time-Frequency Based Features for Classification of Walking Patterns

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    The analysis of gait data has been a challenging problem and several new approaches have been proposed in recent years. This paper describes a novel front-end for classification of gait patterns using data obtained from a tri-axial accelerometer. The novel features consist of delta features, low and high frequency signal variations and energy variations in both frequency bands. The back-end of the system is a Gaussian mixture model based classifier. Using Bayesian adaptation, an overall classification accuracy of 96.1 % was achieved for five walking patterns in six subjects. Index Terms—Gait patterns, accelerometry, ambulatory monitoring, Gaussian mixture model

    A nonlinear dynamic model for heart rate response to treadmill walking exercise

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    A nonlinear dynamic model for heart rate response to treadmill walking exercise, Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE, 22-26 Aug. 2007]. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Technology, Sydney's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it A nonlinear dynamic model for heart rate response to treadmill walking exercise Teddy M. Cheng, Andrey V. Savkin, Branko G. Celler, Lu Wang, Steven W. Su Abstract-A dynamic model of the heart rate response to treadmill walking exercise is presented. The model is a feedback interconnected system; the subsystem in the forward path represents the neural response to exercise, while the subsystem in the feedback path describes the peripheral local response. The parameters of the model were estimated from 5 healthy adult male subjects, each undertaking 3 sets of walking exercise at different speeds. Simulated responses from the model closely match the experimental data both in the exercise and the recovery phases. The model will be useful in explaining the cardiovascular response to exercise and in the design of exercise protocols for individuals

    Designing Adaptive Integral Sliding Mode Control for Heart Rate Regulation During Cycle-Ergometer Exercise Using Bio-feedback

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    Abstract-This paper considers our developed control system which aims to regulate the exercising subjects' heart rate (HR) to a predefined profile. The controller would be an adaptive integral sliding mode controller. Here it is assumed that the controller commands are interpreted as biofeedback auditory commands. These commands can be heard and implemented by the exercising subject as a part of the control-loop. However, transmitting a feedback signal while the pedals are not in the appropriate position to efficiently exert force may lead to a cognitive disengagement of the user from the feedback controller. To address this problem this paper will employ a different form of control system regarding as "actuator-based event-driven control system". This paper will claim that the developed event-driven controller makes it possible to effectively regulate HR to a predetermined HR profile

    Web based longitudinal ECG monitoring

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    A Web based ECG monitoring service in which a longitudinal clinical record is used for management of patients, is described. The Web application is used to collect clinical data from the patient's home. A database server acts as a central repository where this clinical information is stored. A Web browser provides access to the patient's records and clinical data. An intelligent software agent on the Web server is activated whenever new patient data is collected remotely from the home. The agent compares historical data with newly acquired data. Using this method, an optimum patient care strategy can be evaluated, with reminders and suggestions for action sent to the doctor and patient by email.4 page(s

    Methodology for designing telecare systems : a case study in cystic fibrosis monitoring

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    A systems modelling approach has been adopted to identify and characterise the processes involved in home telecare monitoring. This approach with the analysis of and reasoning of potential users, in conjunction with laboratory studies comprising task analysis using case scenarios is sufficient to specify information requirements necessary to insure functions for which the system was intended. A case study in which this method is applied to the design and evaluation of a Web-based monitoring system for cystic fibrosis is presented.5 page(s

    The use of an energy monitor in the management of diabetes : a pilot study

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    This study evaluated the use of an accelerometer-based device in helping to manage blood glucose levels (BGLs) in people with diabetes mellitus. Five people with diabetes were given a triaxial accelerometer-based device (Energy Monitor) that measured energy levels associated with activities of daily living. For 3 months, they were required to wear the device and to continue with their usual diabetes therapy. The body mass index (BMI) and glycosylated hemoglobin (HbA(1c)) were recorded to assess any potential improvement in blood glucose control. The relationship between BGL and measured energy level was also investigated. Overall, there was a significant reduction of HbA(1c) from 7.48 +/- 1.21% to 6.98 +/- 1.44% (P < 0.05). There was no significant change in BMI. It was also found that higher energy levels resulted in much lower fluctuations in BGL change between meals compared to low energy levels. Moreover, the weekly mean activity score showed an increase in activity levels from the second week to the final week. This pilot study demonstrated that the Energy Monitor could improve the management of diabetes by allowing people with diabetes to view and manage daily physical activity in addition to their usual diabetes therapy

    A Web-based approach for electrocardiogram monitoring in the home

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    A Web-based electrocardiogram (ECG) monitoring service in which a longitudinal clinical record is used for management of patients, is described. The Web application is used to collect clinical data from the patient's home. A database on the server acts as a central repository where this clinical information is stored. A Web browser provides access to the patient's records and ECG data. We discuss the technologies used to automate the retrieval and storage of clinical data from a patient database, and the recording and reviewing of clinical measurement data. On the client's Web browser, ActiveX controls embedded in the Web pages provide a link between the various components including the Web server, Web page, the specialised client side ECG review and acquisition software, and the local file system. The ActiveX controls also implement FTP functions to retrieve and submit clinical data to and from the server. An intelligent software agent on the server is activated whenever new ECG data is sent from the home. The agent compares historical data with newly acquired data. Using this method, an optimum patient care strategy can be evaluated, a summarised report along with reminders and suggestions for action is sent to the doctor and patient by email.9 page(s

    Non-invasive measurement of blood pressure : why we should look at BP traces rather than listen to Korotkoff sounds

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    Accurate non-invasive measurement of blood pressure in unsupervised environments continues to be a challenge, particularly in the presence of movement artefact, electrical noise and most importantly cardiac arrhythmia which are common in those aged over 65 suffering from a range of chronic conditions. Large intra personal variability in signal morphometry and amplitudes further complicates the development of reliable signal processing algorithms for NIBP measurement. In this paper we demonstrate the effect of this variability and propose that the traditional methods of human blood pressure determination by sphygmomanometry should no longer be considered a gold standard for the calibration of NIBP devices
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