Search Results - "Palaniappan, Rajkumar"
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Towards holonic power and energy systems – A novel ICT architecture as enabler for resilience
Published in International journal of electrical power & energy systems (01-11-2024)“…•Holonic automation, control, and operation architecture tackles complexity of power and energy systems.•Holonic architecture as an organization and…”
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Machine learning in lung sound analysis: A systematic review
Published in Biocybernetics and biomedical engineering (2013)“…Abstract Machine learning has proven to be an effective technique in recent years and machine learning algorithms have been successfully used in a large number…”
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Physiological signal based detection of driver hypovigilance using higher order spectra
Published in Expert systems with applications (01-12-2015)“…•ECG and EMG signals collected and these physiological signals are preprocessed.•The hypovigilance features extracted from signals using HOS feature.•The…”
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Erosion of esophageal stent into left main bronchus causing airway compromise
Published in Lung India (01-01-2017)“…Covered or uncovered self-expanding metal stents are currently used for the palliative treatment of neoplastic esophageal strictures or compressions and…”
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A comparative study of the SVM and K-nn machine learning algorithms for the diagnosis of respiratory pathologies using pulmonary acoustic signals
Published in BMC bioinformatics (27-06-2014)“…Pulmonary acoustic parameters extracted from recorded respiratory sounds provide valuable information for the detection of respiratory pathologies. The…”
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A survey on automated wheeze detection systems for asthmatic patients
Published in Biomolecules & biomedicine (20-11-2012)“…The purpose of this paper is to present an evidence of automated wheeze detection system by a survey that can be very beneficial for asthmatic patients…”
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Adaptive Neuro-Fuzzy Inference System for Breath Phase Detection and Breath Cycle Segmentation
Published in Computer methods and programs in biomedicine (01-07-2017)“…Highlights • ANFIS based breath cycle detection and segmentation algorithm was implemented. • ANFIS uses power spectral density from breath sounds to detect…”
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Analysis of wheeze sounds during tidal breathing according to severity levels in asthma patients
Published in The Journal of asthma (02-04-2020)“…Objective: This study aimed to statistically analyze the behavior of time-frequency features in digital recordings of wheeze sounds obtained from patients with…”
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Characterization and classification of asthmatic wheeze sounds according to severity level using spectral integrated features
Published in Computers in biology and medicine (01-01-2019)“…This study aimed to investigate and classify wheeze sounds of asthmatic patients according to their severity level (mild, moderate and severe) using spectral…”
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Weight Regain After Bariatric Surgery—A Multicentre Study of 9617 Patients from Indian Bariatric Surgery Outcome Reporting Group
Published in Obesity surgery (01-05-2019)“…Background There is little robust data on weight regain (WR) after bariatric surgery making it difficult to counsel patients regarding long-term outcomes of…”
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Artificial intelligence techniques used in respiratory sound analysis--a systematic review
Published in Biomedizinische Technik (01-02-2014)“…Artificial intelligence (AI) has recently been established as an alternative method to many conventional methods. The implementation of AI techniques for…”
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A telemedicine tool to detect pulmonary pathology using computerized pulmonary acoustic signal analysis
Published in Applied soft computing (01-12-2015)Get full text
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Experimental verification of smart grid control functions on international grids using a real‐time simulator
Published in IET generation, transmission & distribution (01-07-2022)“…The drastic increase in distributed energy resources (DERs) leads to challenges in the operation of distribution systems worldwide. While several solutions for…”
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A telemedicine software application for asthma severity levels identification using wheeze sounds classification
Published in Biocybernetics and biomedical engineering (01-10-2022)“…Early and precise knowledge of asthma severity levels may help in effective precautions, proper medication, and follow-up planning for the patients. Keeping…”
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A physiological measures-based method for detecting inattention in drivers using machine learning approach
Published in Biocybernetics and biomedical engineering (01-01-2015)“…Abstract Background In recent years, as a result of the usage of electronic gadgets in vehicles, driver inattention has become one of the major causes of road…”
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Classification of pulmonary pathology from breath sounds using the wavelet packet transform and an extreme learning machine
Published in Biomedizinische Technik (26-07-2018)“…Auscultation is a medical procedure used for the initial diagnosis and assessment of lung and heart diseases. From this perspective, we propose assessing the…”
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Computer-based Respiratory Sound Analysis: A Systematic Review
Published in Technical review - IETE (01-05-2013)“…Over the years, lung auscultation has been used as an effective clinical tool to monitor the state of the respiratory system. Lung auscultation provides…”
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A novel approach to detect respiratory phases from pulmonary acoustic signals using normalised power spectral density and fuzzy inference system
Published in The clinical respiratory journal (01-07-2016)“…Monitoring respiration is important in several medical applications. One such application is respiratory rate monitoring in patients with sleep apnoea. The…”
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System-level Testing of the Congestion Management Capability of a Hardware-Independent Optimal Power Flow Algorithm
Published 18-09-2023“…The integration of distributed energy resources (DERs) into the electrical grid causes various challenges in the distribution grids. The complexity of smart…”
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Hybrid markerless tracking of complex articulated motion in golf swings
Published in Journal of bodywork and movement therapies (01-04-2014)“…Summary Sports video tracking is a research topic that has attained increasing attention due to its high commercial potential. A number of sports, including…”
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