Pervasive Monitoring Research Articles

What is Wireless Health?

Recent advances in the electronics industry and wireless communication have enabled innovative domains of applications to evolve. Embedded processors and systems have become widely used in people's everyday life in various applications ranging from mobile communication to automotive industries to medical applications. The groundswell of wellness healthcare programs and patient management emphasize more involvement by patients themselves. This paradigm largely requires that patient information be readily available at the point of care, regardless of which physician the patient sees. The current proliferation of broadband wireless services, along with more powerful and convenient handheld devices, is helping introduce real-time monitoring and guidance for a wide array of patients. Low-cost sensors and wireless systems can now create a constantly vigilant and pervasive monitoring capability at home, at work, and in conventional point-of-care environments [4][5] (e.g., primary care physician offices, outpatient clinics, rehabilitation centers). Indeed, a large research community and a nascent industry is beginning to connect medical care with technology developers, vendors of wireless and sensing hardware systems [1], network service providers, and enterprise data management communities. Wearable devices focusing on personal health, rehabilitation, and early disease detection are now being prototyped. All these have led us to the new notion of "Wireless Health"

What is Wireless Health?

Recent advances in the electronics industry and wireless communication have enabled innovative domains of applications to evolve. Embedded processors and systems have become widely used in people's everyday life in various applications ranging from mobile communication to automotive industries to medical applications. The groundswell of wellness healthcare programs and patient management emphasize more involvement by patients themselves. This paradigm largely requires that patient information be readily available at the point of care, regardless of which physician the patient sees. The current proliferation of broadband wireless services, along with more powerful and convenient handheld devices, is helping introduce real-time monitoring and guidance for a wide array of patients. Low-cost sensors and wireless systems can now create a constantly vigilant and pervasive monitoring capability at home, at work, and in conventional point-of-care environments [4][5] (e.g., primary care physician offices, outpatient clinics, rehabilitation centers). Indeed, a large research community and a nascent industry is beginning to connect medical care with technology developers, vendors of wireless and sensing hardware systems [1], network service providers, and enterprise data management communities. Wearable devices focusing on personal health, rehabilitation, and early disease detection are now being prototyped. All these have led us to the new notion of "Wireless Health"

What is wireless health?

Recent advances in the electronics industry and wireless communication have enabled innovative domains of applications to evolve. Embedded processors and systems have become widely used in people's everyday life in various applications ranging from mobile communication to automotive industries to medical applications. The groundswell of wellness healthcare programs and patient management emphasize more involvement by patients themselves. This paradigm largely requires that patient information be readily available at the point of care, regardless of which physician the patient sees. The current proliferation of broadband wireless services, along with more powerful and convenient handheld devices, is helping introduce real-time monitoring and guidance for a wide array of patients. Low-cost sensors and wireless systems can now create a constantly vigilant and pervasive monitoring capability at home, at work, and in conventional point-of-care environments [4][5] (e.g., primary care physician offices, outpatient clinics, rehabilitation centers). Indeed, a large research community and a nascent industry is beginning to connect medical care with technology developers, vendors of wireless and sensing hardware systems [1], network service providers, and enterprise data management communities. Wearable devices focusing on personal health, rehabilitation, and early disease detection are now being prototyped. All these have led us to the new notion of "Wireless Health"

Biometric Methods for Secure Communications in Body Sensor Networks: Resource-Efficient Key Management and Signal-Level Data Scrambling

As electronic communications become more prevalent, mobile and universal, the threats of data compromises also accordingly loom larger. In the context of a body sensor network (BSN), which permits pervasive monitoring of potentially sensitive medical data, security and privacy concerns are particularly important. It is a challenge to implement traditional security infrastructures in these types of lightweight networks since they are by design limited in both computational and communication resources. A key enabling technology for secure communications in BSN's has emerged to be biometrics. In this work, we present two complementary approaches which exploit physiological signals to address security issues: (1) a resource-efficient key management system for generating and distributing cryptographic keys to constituent sensors in a BSN; (2) a novel data scrambling method, based on interpolation and random sampling, that is envisioned as a potential alternative to conventional symmetric encryption algorithms for certain types of data. The former targets the resource constraints in BSN's, while the latter addresses the fuzzy variability of biometric signals, which has largely precluded the direct application of conventional encryption. Using electrocardiogram (ECG) signals as biometrics, the resulting computer simulations demonstrate the feasibility and efficacy of these methods for delivering secure communications in BSN's.

Innovative sensing for real-time health monitoring of geostructural systems

Recent advances in miniaturizing sensors and electronics and the development of a pervasive wireless infrastructure have enabled a paradigm shift in the health monitoring of soilstructure systems. Created by researchers at Rensselaer Polytechnic Institute (RPI)1 and Measurand Inc.,2 the wireless ShapeAccelArray (SAA) sensing system is capable of measurements that represent a significant advance in implementing this shift. Over the last 50 years engineers have used traditional, manual slope inclinometers to monitor the health of landslides and construction activities. However, the frequency and accuracy of this labor-intensive monitoring rely on a trained engineer manually collecting and managing the data. The low sensor density provided by this method results in very limited data. State departments of transportation and federal agencies continue to spend significant resources monitoring possible slope failures using manual inclinometers or in-place inclinometer arrays. The expense and inflexibility of the slope inclinometer arrays, and the need for torsional alignment, make installation of multiple setups at a single site relatively rare, severely limiting the ability to conduct pervasive real-time monitoring. The wireless SAA system can remotely collect both 3D deformation and acceleration readings anywhere there is cell-phone coverage. The SAA system enables gravity-based shape calculation along a sensorized substrate through an extension of technologies that use fiber-optic orientation sensing to calculate 3D polylines representing the shape of a sensor array.3 The SAA uses microelectromechanical systems (MEMS) accelerometers in a precalibrated, geometrically constrained arrangement4 to provide long-term stability previously unattainable with fiber-optic Figure 1. Advancing polyvinyl chloride casing segments along the wireless ShapeAccelArray (SAA).

센서네트워크 상황하의 협력적 물체 추적 알고리즘 개발

최근 반도체 제조기술의 발달로 저가의 센서 노드의 개발이 가능해 짐에 따라 실제 시스템에 대한 모니터링 및 제어 시스템의 개발이 가능하게 되고 있다. 이에 본 연구에서는 센서 네트워크 어플리케이션 중 하나인 움직이는 물체의 추적을 위한 새로운 형태의 알고리즘을 제안하고자 한다. 제안된 알고리즘은 물체의 이동을 감지한 센서 노드들간의 협업을 통해 이동 물체의 움직임을 지속적으로 감지하는 것을 가능케 한다. 이로 인해 제안된 알고리즘은 타켓의 순간적인 놓침을 초래할 수 있는 예측 실패 등에 대해 강인한 특성을 갖는다. 또한 시뮬레이션 고찰을 통해 제안된 알고리즘이 랜덤한 움직임을 갖는 타켓에 대한 정확한 추적이 가능함을 확인하였다. With recent advances in device fabrication technology, economical deployment of large scale sensor networks, a design of pervasive monitoring and control system has been made possible. In this paper, we present a new algorithm for one of the most likely applications for sensor networks; tracking moving targets. The proposed algorithm uses a cooperations between the sensor nodes which detect moving objects. Therefore, the proposed scheme is robust against prediction failures which may result in temporary loss of the target. Using simulations we show that tile proposed moving object tracking algorithm is capable of accurately tracking targets with random movement patterns.