A
Ashish Kumar Sahani
Researcher at Indian Institute of Technology Ropar
Publications - 63
Citations - 385
Ashish Kumar Sahani is an academic researcher from Indian Institute of Technology Ropar. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 9, co-authored 37 publications receiving 215 citations. Previous affiliations of Ashish Kumar Sahani include Instruments Research and Development Establishment & All India Institute of Medical Sciences.
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Proceedings ArticleDOI
Automated system for imageless evaluation of arterial compliance
TL;DR: An imageless portable system for automated estimation of local arterial compliance, designed to be operated by a general medical practitioner with no prior knowledge of ultrasonography, and used for developing an inexpensive cardiovascular screening device for large scale deployment in primary health care centers.
Journal ArticleDOI
Automatic Measurement of End-Diastolic Arterial Lumen Diameter in ARTSENS
TL;DR: A novel approach using the autocorrelation of echoes from opposite walls of the artery has been discussed, to bring down the curve fitting time and facilitate processing on low-end processors.
Journal ArticleDOI
Reduction of false alarms in the intensive care unit using an optimized machine learning based approach.
Wan-Tai M Au-Yeung,Ashish Kumar Sahani,Eric M. Isselbacher,Antonis A. Armoundas,Antonis A. Armoundas +4 more
TL;DR: This work attempts to reduce the number of false alarms generated by bedside monitors in the intensive care unit (ICU) by applying methods that can be categorized into three stages: signal processing, feature extraction, and optimized machine learning.
Journal ArticleDOI
A Novel Point-of-Care Smartphone Based System for Monitoring the Cardiac and Respiratory Systems
Kwanghyun Sohn,Faisal M. Merchant,Omid Sayadi,Dheeraj Puppala,Rajiv Doddamani,Ashish Kumar Sahani,Jagmeet P. Singh,E. Kevin Heist,Eric M. Isselbacher,Antonis A. Armoundas,Antonis A. Armoundas +10 more
TL;DR: In this article, a 12-lead smartphone-based ECG acquisition and monitoring system (called "cvrPhone") was developed to assess underlying ischemia, and estimate the respiration rate and tidal volume from analysis of electrocardiographic (ECG) signals only.
Journal ArticleDOI
Evaluation of the algorithm for automatic identification of the common carotid artery in ARTSENS.
TL;DR: The detailed algorithm and its extensive evaluation based on simulation and clinical studies are presented and it was demonstrated that the algorithm can be used in real-time with few trade-offs which do not affect the accuracy of CCA identification.