Thomas C. Jannett

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Estimation of target position from multi-frame binary data provided by a wireless sensor network (WSN) can be done by optimizing a complex multimodal likelihood function. Deterministic quasi Newton-Raphson (QNR) schemes with line search are typically used for optimization in maximum likelihood estimation. However, these methods often find a local minimum,(More)
Available resources limit the performance and lifetime of a wireless sensor network. In order to increase network lifetime in the face of depleting resources, networks that can be reconfigured to meet specified performance criteria are of interest. For a target localization scenario using binary sensor data, we present an approach in which network(More)
BACKGROUND Unfractionated heparin is used widely; however, control of the level of anticoagulation remains its greatest problem, with fewer than 35% of patients having activated partial thromboplastin times (aPTTs) within a range of 55 to 85 seconds in recent trials. METHODS AND RESULTS We developed and tested a prototype of an automated heparin control(More)
FCM algorithm is used to divide the ECG signal into QRS and non-QRS region. This paper presents a simple technique for automatic detection of cardiac beat (QRS-complex) in Electrocardiogram (ECG) using Fuzzy C-Means (FCM) clustering algorithm. The power line interference and baseline wander present in the ECG signal is removed using digital filtering 1 / 4
Electrocardiogram (ECG) is the recording of electrical activity of the heart. Accurate measurement of ECG parameters is an important requirement of ECG analysis, particularly if the results are to be used for clinical purposes. Most automatic ECG diagnosis techniques require an accurate detection of the QRS complex. Almost all the analysis methods use the(More)