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Internet of Things (IoT): A vision, architectural elements, and future directions
TLDR
This paper presents a Cloud centric vision for worldwide implementation of Internet of Things, and expands on the need for convergence of WSN, the Internet and distributed computing directed at technological research community. Expand
Do existing measures of Poincare plot geometry reflect nonlinear features of heart rate variability?
TLDR
The authors investigate a number of techniques for characterizing the Poincare plot geometry in detail and show that they are all measuring linear aspects of the intervals which existing HRV indexes already specify. Expand
An Information Framework for Creating a Smart City Through Internet of Things
TLDR
A framework for the realization of smart cities through the Internet of Things (IoT), which encompasses the complete urban information system, from the sensory level and networking support structure through to data management and Cloud-based integration of respective systems and services, and forms a transformational part of the existing cyber-physical system. Expand
Support Vector Machines for Automated Recognition of Obstructive Sleep Apnea Syndrome From ECG Recordings
TLDR
The results suggest superior performance of SVMs in OSAS recognition supported by wavelet-based features of ECG and demonstrate considerable potential in applying SVM in an ECG-based screening device that can aid a sleep specialist in the initial assessment of patients with suspected OSAS. Expand
Quarter Sphere Based Distributed Anomaly Detection in Wireless Sensor Networks
TLDR
This work uses sensor data from the Great Duck Island Project to demonstrate that a distributed approach to anomaly detection is energy efficient in terms of communication overhead while achieving comparable accuracy to a centralised scheme. Expand
Fuzzy c-Means Algorithms for Very Large Data
TLDR
This paper compares the efficacy of three different implementations of techniques aimed to extend fuzzy c-means (FCM) clustering to VL data and concludes by demonstrating the VL algorithms on a dataset with 5 billion objects and presenting a set of recommendations regarding the use of different VL FCM clustering schemes. Expand
Labelled data collection for anomaly detection in wireless sensor networks
TLDR
This group proposed an ellipsoid-based anomaly detection algorithm but demonstrated its performance using synthetic datasets and real Intel Berkeley Research Laboratory and Grand St. Bernard datasets which are not labeled with anomalies. Expand
Automated Scoring of Obstructive Sleep Apnea and Hypopnea Events Using Short-Term Electrocardiogram Recordings
TLDR
Results indicate the possibility of recognizing apnea/hypopnea events based on shorter segments of ECG signals and estimate the surrogate apnea index (AI) / hypopneaindex (HI) (AHI) and wavelet-based features of 5-s ECGs. Expand
Poincaré plot interpretation using a physiological model of HRV based on a network of oscillators.
TLDR
A physiological oscillator model of which the output mimics the shape of the R-R interval Poincaré plot is developed, which provides a theoretical link between frequency-domain spectral analysis techniques and time-domain Poinceré plot analysis. Expand
Support vector machines for automated gait classification
TLDR
The results suggest that SVMs can function as an efficient gait classifier for recognition of young and elderly gait patterns, and has the potential for wider applications in gait identification for falls-risk minimization in the elderly. Expand
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