Mike Koplow

Bio: Mike Koplow is an academic researcher from University of California, Berkeley. The author has contributed to research in topics: Wireless sensor network & Energy harvesting. The author has an hindex of 9, co-authored 12 publications receiving 464 citations. Previous affiliations of Mike Koplow include University of Florida.

Wireless Sensor Networks for Home Health Care

Abstract: Sophisticated electronics are within reach of average users. Cooperation between wireless sensor networks and existing consumer electronic infrastructures can assist in the areas of health care and patient monitoring. This will improve the quality of life of patients, provide early detection for certain ailments, and improve doctor-patient efficiency. The goal of our work is to focus on health-related applications of wireless sensor networks. In this paper we detail our experiences building several prototypes and discuss the driving force behind home health monitoring and how current (and future) technologies will enable automated home health monitoring.

PicoCube: a 1 cm3 sensor node powered by harvested energy

Abstract: The PicoCube is a 1 cm3 sensor node using harvested energy as its source of power Operating at an average of only 6 uW for a tire-pressure application, the PicoCube represents a modular and integrated approach to the design of nodes for wireless sensor networks It combines advanced ultra-low power circuit techniques with system-level power management A simple packaging approach allows the modules comprising the node to fit into 1 cm3 in a reliable fashion

Thick film thermoelectric energy harvesting systems for biomedical applications

Abstract: The potential for the microfabrication of thermoelectric generators has been shown for powering autonomous wireless sensors in and around the human body. Existing bulk fabrication methods (extrusion and dicing) as well as traditional microfabrication methods (sputtering and etching) cannot create structures with the correct size factors and aspect ratios for optimal power generation. As a result, this paper describes a new promising printing method, specifically developed to additively create microscale generators. Early results show that the method is both cost effective and scalable for the mass production of thermoelectric generators to power medical devices.

Symmetry breaking bifurcations of a parametrically excited pendulum

Abstract: This paper examines the bifurcation behavior of a planar pendulum subjected to high-frequency parametric excitation along a tilted angle. Parametric nonlinear identification is performed on the experimental system via an optimization approach that utilizes a developed approximate analytical solution. Experimental and theoretical efforts then consider the influence of a subtle tilt angle in the applied parametric excitation by contrasting the predicted and observed mean angle bifurcations with the bifurcations due to excitation applied in either the vertical or horizontal direction. Results show that small deviations from either a perfectly vertical or horizontal excitation will result in symmetry breaking bifurcations as opposed to pitchfork bifurcations.

Body Area Networks: A Survey

Abstract: Advances in wireless communication technologies, such as wearable and implantable biosensors, along with recent developments in the embedded computing area are enabling the design, development, and implementation of body area networks. This class of networks is paving the way for the deployment of innovative healthcare monitoring applications. In the past few years, much of the research in the area of body area networks has focused on issues related to wireless sensor designs, sensor miniaturization, low-power sensor circuitry, signal processing, and communications protocols. In this paper, we present an overview of body area networks, and a discussion of BAN communications types and their related issues. We provide a detailed investigation of sensor devices, physical layer, data link layer, and radio technology aspects of BAN research. We also present a taxonomy of BAN projects that have been introduced/proposed to date. Finally, we highlight some of the design challenges and open issues that still need to be addressed to make BANs truly ubiquitous for a wide range of applications.

Wearable and Implantable Wireless Sensor Network Solutions for Healthcare Monitoring

Abstract: Wireless sensor network (WSN) technologies are considered one of the key research areas in computer science and the healthcare application industries for improving the quality of life. The purpose of this paper is to provide a snapshot of current developments and future direction of research on wearable and implantable body area network systems for continuous monitoring of patients. This paper explains the important role of body sensor networks in medicine to minimize the need for caregivers and help the chronically ill and elderly people live an independent life, besides providing people with quality care. The paper provides several examples of state of the art technology together with the design considerations like unobtrusiveness, scalability, energy efficiency, security and also provides a comprehensive analysis of the various benefits and drawbacks of these systems. Although offering significant benefits, the field of wearable and implantable body sensor networks still faces major challenges and open research problems which are investigated and covered, along with some proposed solutions, in this paper.