Sardar Ansari

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BACKGROUND Adenosine can reveal dormant pulmonary vein (PV) conduction after PV isolation (PVI) in patients with paroxysmal atrial fibrillation (AF). However, the impact of elimination of adenosine-provoked dormant PV conduction after PVI has not been formally evaluated. OBJECTIVE The purpose of this study was to determine whether ablation of PV(More)
This paper presents a novel approach for false alarm suppression using machine learning tools. It proposes a multi-modal detection algorithm to find the true beats using the information from all the available waveforms. This method uses a variety of beat detection algorithms, some of which are developed by the authors. The outputs of the beat detection(More)
In this paper, respiratory rate is extracted using signal processing and machine learning methods from electrical impedance, measured across arm. Two pairs of electrodes have been used along the arm, one for injecting the current, and one for sensing the voltage. After filtering, the frequency components and other signal features have been extracted using(More)
Advanced hemodynamic monitoring is a critical component of treatment in clinical situations where aggressive yet guided hemodynamic interventions are required in order to stabilize the patient and optimize outcomes. While there are many tools at a physician's disposal to monitor patients in a hospital setting, the reality is that none of these tools allow(More)
This paper proposes a computer aided system that aims to recognize frustration/mental fatigue in a student/individual and thereby be able to predict the student's learning/cognition ability. The objective is to recognize the existence of frustration based on the subjects ECG data. Discrete Wavelet Transform (DWT) is applied on an individual's ECG data as(More)
This paper presents a novel sensor in the form of a ring to monitor vascular tone continuously and non-invasively. The signal that is generated by this sensor would allow for accurate detection and analysis of reflection waves that can be used to identify or predict several medical conditions including intradialytic hypotension (IDH). The sensor is(More)
Intradialytic hypotension (IDH) is the most common complication of hemodialysis, affecting 15–50% of all dialysis sessions. Previously, we had presented a non-invasive Polyvinylidene Fluoride (PVDF) based sensor in the form of a ring to measure vascular tone and we showed that the morphology of the signal can be utilized to predict IDH. This paper(More)
There is a growing body of research focusing on automatic detection of ischemia and myocardial infarction (MI) using computer algorithms. In clinical settings, ischemia and MI are diagnosed using ECG recordings as well as medical context including patient symptoms, medical history and risk factors, information that is often stored in the electronic health(More)
Background Atrial fibrillation (AF) is the most prevalent arrhythmia leading to hospital admissions. The majority of patients with AF report symptoms that are believed to be associated with the arrhythmia. The symptoms related to AF traditionally are collected during a clinic visit that is influenced by biases associated with recalling the experience over a(More)
The impedance plethysmography (IP) has long been used to monitor respiration. The IP signal is also suitable for portable monitoring of respiration due to its simplicity. However, this signal is very susceptible to motion artifact (MA). As a result, MA reduction is an indispensable part of portable acquisition of the IP signal. Often, the amplitude of the(More)