activity
20162022
most citedFog Data: Enhancing Telehealth Big Data Through Fog Computing

91 citations · 276 across the 14 of their papers we have counts for

collaborators

15 papers

eess.SY2022

Design and Performance Analysis of a Chemically-Etched Flexible NFC Tag Antenna

Muhammad Enayetur Rahman, Marwan Abdelatti, Manbir Singh Sodhi +1

Near Field Communication (NFC) is a perfect example of ubiquitous computing that is secured, short-ranged, low-powered contactless communication. High demand is predicted for NFC,…

eess.SP2019★ 11 cited

An end-to-end (deep) neural network applied to raw EEG, fNIRs and body motion data for data fusion and BCI classification task without any pre-/post-processing

Aras R. Dargazany, Mohammadreza Abtahi, Kunal Mankodiya

Brain computer interfaces (BCI) using EEG, fNIRS and body motion (MoCap) data are getting more attention due to the fact that fNIRS and MoCap are not prone to movement artifacts si…

cs.CY2018

SmartEAR: Smartwatch-based Unsupervised Learning for Multi-modal Signal Analysis in Opportunistic Sensing Framework

Debanjan Borthakur, Andrew Peltier, Harishchandra Dubey +2

Wrist-bands such as smartwatches have become an unobtrusive interface for collecting physiological and contextual data from users. Smartwatches are being used for smart healthcare,…

cs.DC2018★ 9 cited

Fog Computing based SDI Framework for Mineral Resources Information Infrastructure Management in India

Rabindra K. Barik, Rakesh K. Lenka, N. V. R. Simha +2

Spatial Data Infrastructure (SDI) is an important concept for sharing spatial data across the web. With cumulative techniques with spatial cloud computing and fog computing, SDI ha…

cs.DC2017

FogGrid: Leveraging Fog Computing for Enhanced Smart Grid Network

Rabindra K. Barik, Satish Kumar Gudey, Gujji Giridhar Reddy +4

The present manuscript concentrates on the application of Fog computing to a Smart Grid Network that comprises of a Distribution Generation System known as a Microgrid. It addresse…

cs.CY2017

Smart Fog: Fog Computing Framework for Unsupervised Clustering Analytics in Wearable Internet of Things

Debanjan Borthakur, Harishchandra Dubey, Nicholas Constant +2

The increasing use of wearables in smart telehealth generates heterogeneous medical big data. Cloud and fog services process these data for assisting clinical procedures. IoT based…

cs.DC2017

SoA-Fog: Secure Service-Oriented Edge Computing Architecture for Smart Health Big Data Analytics

Rabindra K. Barik, Harishchandra Dubey, Kunal Mankodiya

The smart health paradigms employ Internet-connected wearables for telemonitoring, diagnosis for providing inexpensive healthcare solutions. Fog computing reduces latency and incre…

cs.DC2017★ 65 cited

Fog Computing in Medical Internet-of-Things: Architecture, Implementation, and Applications

Harishchandra Dubey, Admir Monteiro, Nicholas Constant +7

In the era when the market segment of Internet of Things (IoT) tops the chart in various business reports, it is apparently envisioned that the field of medicine expects to gain a…

cs.DC2017★ 42 cited

Fog-Assisted wIoT: A Smart Fog Gateway for End-to-End Analytics in Wearable Internet of Things

Nicholas Constant, Debanjan Borthakur, Mohammadreza Abtahi +2

Today, wearable internet-of-things (wIoT) devices continuously flood the cloud data centers at an enormous rate. This increases a demand to deploy an edge infrastructure for comput…

cs.CY2016★ 10 cited

EchoWear: Smartwatch Technology for Voice and Speech Treatments of Patients with Parkinson's Disease

Harishchandra Dubey, Jon C. Goldberg, Mohammadreza Abtahi +2

About 90 percent of people with Parkinson's disease (PD) experience decreased functional communication due to the presence of voice and speech disorders associated with dysarthria…

cs.CY2016

Harmonic Sum-based Method for Heart Rate Estimation using PPG Signals Affected with Motion Artifacts

Harishchandra Dubey, Ramdas Kumaresan, Kunal Mankodiya

Wearable photoplethysmography (WPPG) has recently become a common technology in heart rate (HR) monitoring. General observation is that the motion artifacts change the statistics o…

cs.SD2016★ 34 cited

BigEAR: Inferring the Ambient and Emotional Correlates from Smartphone-based Acoustic Big Data

Harishchandra Dubey, Matthias R. Mehl, Kunal Mankodiya

This paper presents a novel BigEAR big data framework that employs psychological audio processing chain (PAPC) to process smartphone-based acoustic big data collected when the user…

cs.CY2016★ 91 cited

Fog Data: Enhancing Telehealth Big Data Through Fog Computing

Harishchandra Dubey, Jing Yang, Nick Constant +3

The size of multi-modal, heterogeneous data collected through various sensors is growing exponentially. It demands intelligent data reduction, data mining and analytics at edge dev…

cs.CY2016★ 14 cited

A Multi-Smartwatch System for Assessing Speech Characteristics of People with Dysarthria in Group Settings

Harishchandra Dubey, J. Cody Goldberg, Kunal Mankodiya +1

Speech-language pathologists (SLPs) frequently use vocal exercises in the treatment of patients with speech disorders. Patients receive treatment in a clinical setting and need to…

cs.CY2016

FIT A Fog Computing Device for Speech TeleTreatments

Admir Monteiro, Harishchandra Dubey, Leslie Mahler +2

There is an increasing demand for smart fogcomputing gateways as the size of cloud data is growing. This paper presents a Fog computing interface (FIT) for processing clinical spee…