Healthcare data is quite rich and often contains human survival related information. Analyzing healthcare of prime importance particularly considering the immense potential saving life improving quality life. Furthermore, IoT revolution has redefined modern health care systems management. offers its greatest promise to deliver excellent progress in domain. In this talk, proactive analytics specifically for cardiac disease prevention will be discussed. Anomaly detection plays a prominent role...

Semiconducting metal oxide-based gas sensors have inadequate selectivity as they are responsive toward a variety of gases. Here, we report the implementation sensing kinetic analysis sensor to identify tested volatile organic compounds (VOCs) (2-propanol, formaldehyde, methanol, and toluene) precisely. A single chemiresistive was employed having tin hollow spheres material, which were obtained by chemical synthesis. The measurements conducted in dynamic manner where displayed excellent...

In this paper, we present a methodology for classifying normal, atrial fibrillation (AF), non-AF related other abnormal heart rhythms and noisy recordings by analysing single lead ECG signal of short duration.In two layer binary cascaded approach proposed in our methodology, an unlabelled recording is initially classified into one the intermediate classes ('normal+others' 'AF+noisy') at first before actual classification second layer.The Physionet Challenge 2017 dataset containing more than...

Privacy breaching attacks pose considerable challenges in the development and deployment of Internet Things (IoT) applications. Though privacy preserving data mining (PPDM) minimizes sensitive disclosure probability, content analysis, measurement user's awareness issues are yet to be addressed. In this paper, we propose a management scheme that enables user estimate risk sharing private like smart meter data. Our focus is develop robust sensitivity detection, analysis quantification from...

The proposal describes a road condition monitoring and alert application using the in-vehicle Smartphone as connected sensors, which are to an Internet-of-Things platform over Internet. In addition providing generic based platform, proposed solution brings in novel energy-efficient phone-orientation-agnostic accelerometer analytics phone, reduces data volume that needs be communicated between phone back-end Internet, multi-user fusion concepts create authentic maps addresses privacy concerns...

Abstract Virtual reality (VR) provides the potential for immersive and engaging training solutions improving sport performance. However, if VR is to be adopted used in an effective evidence-based fashion, a more rigorous assessment of validity simulation required. Construct degree which accurate representation core features task. In context sport, drills environment are true skills needed real world, then those that excel at world should also virtual one. this experiment, we examined...

Management of bulk sensor data is one the challenging problems in development Internet Things (IoT) applications. High volume induces for optimal implementation appropriate compression technique to deal with problem energy-efficient transmission, storage space optimization tiny devices, and cost-effective analytics. The performance realize significant gain processing high cannot be attained by conventional lossy methods, which are less likely exploit intrinsic unique contextual...

Synthetic data generation has recently emerged as a substitution technique for handling the problem of bulk needed in training machine learning algorithms. Healthcare, primarily cardiovascular domain is major area where synthetic physiological like Photoplethysmogram (PPG), Electrocardiogram (ECG), Phonocardiogram (PCG), etc. are being used to improve accuracy algorithm. Conventional approach using mathematical formulations lack interpretability. Hence, aim this paper generate PPG signal...

Last few years have witnessed rapid growth in video coding technology. Among various standards, H.264/advanced codec (AVC) is found to be of significant importance regarding reduced bandwidth, better image quality and network friendliness. One the current fields interest develop a system with authentication copyright protection methodology embedded within an efficient codec. In this paper we first perform survey on available watermarking techniques, feasibility study techniques meeting...

In this paper, the authors have presented a smartphone based robust heart rate measurement system. The system requires user to place tip of his/her index finger on lens smart phone camera, while flash is on. captured video signal often contains noise generated due (i) improper placement, (ii) imparting excessive pressure, which subsequently blocks normal blood circulation and (iii) movement fingertip. To mitigate above issues, two stage approach has been proposed. Firstly, onset good...

Identification of user transport mode using mobile phone-based sensors is a key component Intelligent Transportation System. However, collecting labels/annotations while switching multiple modes into different journeys tedious. Also, type identification working across cities and countries prime need. This paper proposes method for generalizable journey detection without any annotations during training exploiting unsupervised representation learning. Our uses commonalities diversities various...

Photoplethysmography (PPG) signals, captured using smart phones are generally noisy in nature. Although they have been successfully used to determine heart rate from frequency domain analysis, further indirect markers like blood pressure (BP) require time analysis for which the signal needs be substantially cleaned. In this paper we propose a methodology clean such PPG signals. Apart filtering, proposed approach reduces baseline drift of near zero. Furthermore it models each cycle as sum 2...

As part of preventive healthcare, there is a need to regularly monitor blood pressure (BP) cardiac patients and elderly people. Mobile Healthcare, measuring human vitals like heart rate, Spo2 with smart phones using the Photoplethysmography technique becoming widely popular. But, for estimating BP, multiple phone sensors or additional hardware required, which causes uneasiness use it, individually. In this paper, we present methodology estimate systolic diastolic BP levels by only PPG...

Smart meter, the important component of smart energy management systems invites intended or unintended, possibly dangerous privacy breaching activities, like in-house activity detection. With emergence Non-Intrusive Load Monitoring (NILM), preservation meter data becomes very for an individual. Emerging solution provides breach minimization by supervised learning through training that incurs higher capex and opex. IoT do not consist human-in-loop. So, involuntary approach is to be employed....

Purpose – The purpose of this paper is to study lightweight security scheme for Internet Things (IoT) applications using Constrained Application Protocol (CoAP). Resource-constrained characteristics IoT systems have ushered in compelling requirements application protocol and suites. CoAP has already been established as the candidate systems. However, low overhead still an open problem. Existing solutions like Datagram Transport Layer Security (DTLS) not suitable, particularly due its...

This paper presents the idea of a non invasive screening system for identifying Coronary Artery Disease (CAD) patients from fingertip Photoplethysmogram (PPG) signal. A combined feature set, related to heart rate variability (HRV) as well shapes PPG waveform has been defined distinguishing CAD and subjects. Support Vector Machine (SVM) is used classification. Our methodology yields sensitivity specificity scores 0.82 0.88 respectively in on corpus 112 subjects, selected MIMIC II dataset....

Objective: Atrial fibrillation (AF) and other types of abnormal heart rhythm are related to multiple fatal cardiovascular diseases that affect the quality human life. Hence development an automated robust method can reliably detect AF, in addition non-sinus sinus rhythms, would be a valuable medicine. The present study focuses on developing algorithm for classification short, single-lead electrocardiogram (ECG) recordings into normal, rhythms noisy classes. Approach: proposed framework...

Non-invasive cuff-less Blood Pressure (BP) estimation from Photoplethysmogram (PPG) is a well known challenge in the field of affordable healthcare. This paper presents set improvements over an existing method that estimates BP using 2-element Windkessel model PPG signal. A noisy corpus collected fingertip pulse oximeter, two different locations India. Exhaustive pre-processing techniques, such as filtering, baseline and topline correction are performed on signals, followed by selection...