Wanda

Abstract

Recent advances in wireless sensors, mobile technologies, and cloud computing have made continuous remote monitoring of patients possible. In this paper, we introduce the design and implementation of WANDA, an end-to-end remote health monitoring and analytics system designed for heart failure patients. The system consists of a smartphone-based data collection gateway, an Internet-scale data storage and search system, and a backend analytics engine for diagnostic and prognostic purposes. The system supports the collection of data from a wide range of sensory devices that measure patients' vital signs as well as self-reported questionnaires. The main objective of the analytics engine is to predict future events by examining physiological readings of the patients.We demonstrate the efficiency of the proposed analytics engine using the data gathered from a pilot study of 18 heart failure patients. In particular, our results show that the advanced analytic algorithms used in our system are capable of predicting the worsening of patients' heart failure symptoms with up to 74% accuracy while improving the sensitivity performance by more than 45% compared to the commonly used thresholding algorithm based on daily weight change. Moreover, the accuracy attained by our system is only 9% lower than the theoretical upper bound. The proposed framework is currently deployed in a large ongoing heart failure study that targets 1500 congestive heart failure patients.

More Than Telemonitoring: Health Provider Use and Nonuse of Life-Log Data in Irritable Bowel Syndrome and Weight Management

“…In recent years, telemonitoring has shown promise for various health management programs, such as reducing readmission rates for heart failure patients [29,30] and for diabetes management [31,32]. However, most telemonitoring systems have been designed with providers as the primary users and designers have overlooked patient roles in providing context and interpreting symptom data [33].…”

Boundary Negotiating Artifacts in Personal Informatics

“…Mamykina et al conducted a series of studies showing the value of using tracked data in diabetes care between patients and their care team and how patients used the data and tools to make sense of their illness and care management trajectories [38,39]. Many of these systems have demonstrated that features supporting collaboration can successfully provide necessary contextual information for diagnosis [55], facilitate communication [2,47,52], engage patients in the shared decision-making process [3], and support long-term care management [31,50,56].…”

A Wireless Body Area Sensor Based IOT Scheme for Healthcare Applications

“…Most planned outlines for RHW Sin uence a three-tier style: A WBAN containing of portable sensors because knowledge acquisition element, and service layer., for example, suggests a scheme that converts portable sensors to live varied physical parameters like vital sign and vital sign [11]. Sensors convey the collected data to entranceway server over a Bluetooth connotation [12]. The entranceway server goes information into associate Surveillance and activity folder and provisions it on distant server for advanced repossession by clinicians over web.…”