Author
Hau H. Duong
Bio: Hau H. Duong is an academic researcher. The author has contributed to research in topics: Signal processing & Signal. The author has an hindex of 2, co-authored 2 publications receiving 786 citations.
Topics: Signal processing, Signal, Detection theory, Biochip
Papers
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Patent•
05 Nov 2001
TL;DR: In this paper, the authors proposed a method for simultaneous multiple biochip analysis with arrays such as nucleic acid arrays, which allows for high throughput analysis of samples and can be configured to hold multiple cartridges comprising biochips.
Abstract: The invention is directed to devices that allow for simultaneous multiple biochip analysis. In particular, the devices are configured to hold multiple cartridges comprising biochips comprising arrays such as nucleic acid arrays, and allow for high throughput analysis of samples.
551 citations
Patent•
17 Sep 1999
TL;DR: In this article, the use of signal processing methods in order to achieve higher signal to noise ratios, to increase the detection limits of target analytes, was proposed, and the technique was used to monitor the output signal at higher harmonic frequencies.
Abstract: The invention relates to the use of signal processing methods in order to achieve higher signal to noise ratios, to increase the detection limits of target analytes. These techniques include the monitoring of the output signal at higher harmonic frequencies.
235 citations
Cited by
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Patent•
26 Jan 2006
TL;DR: In this paper, the present paper relates to systems and methods for transcutaneous measurement of glucose in a host, and the present invention relates to the system and method for measuring an analyte in the host.
Abstract: The present invention relates generally to systems and methods for measuring an analyte in a host. More particularly, the present invention relates to systems and methods for transcutaneous measurement of glucose in a host.
902 citations
Patent•
01 Sep 2006
TL;DR: In this paper, a time-dependent algorithmic compensation function is applied to data output from a continuous analyte sensor to determine a time since sensor implantation and/or whether a newly initialized sensor has been used previously.
Abstract: Systems and methods for applying time-dependent algorithmic compensation functions to data output from a continuous analyte sensor. Some embodiments determine a time since sensor implantation and/or whether a newly initialized sensor has been used previously.
690 citations
Patent•
08 May 2008
TL;DR: In this article, a data communication unit to transmit one or more signals related to the monitored analyte level received from the analyte sensor to a remote device is described, including a data communications unit that can be used to collect data from a medical device.
Abstract: Methods and systems for providing data communication in medical systems are disclosed including a data communication unit to transmit one or more signals related to the monitored analyte level received from the analyte sensor to a remote device.
564 citations
Patent•
05 Nov 2001
TL;DR: In this paper, the authors proposed a method for simultaneous multiple biochip analysis with arrays such as nucleic acid arrays, which allows for high throughput analysis of samples and can be configured to hold multiple cartridges comprising biochips.
Abstract: The invention is directed to devices that allow for simultaneous multiple biochip analysis. In particular, the devices are configured to hold multiple cartridges comprising biochips comprising arrays such as nucleic acid arrays, and allow for high throughput analysis of samples.
551 citations
Patent•
23 Sep 2009
TL;DR: In this paper, the authors present a system for dynamically and intelligently estimating analyte data from a continuous analyte sensor, including receiving a data stream, selecting one of a plurality of algorithms, and employing the selected algorithm to estimate analyte values.
Abstract: Systems and methods for dynamically and intelligently estimating analyte data from a continuous analyte sensor, including receiving a data stream, selecting one of a plurality of algorithms, and employing the selected algorithm to estimate analyte values. Additional data processing includes evaluating the selected estimative algorithms, analyzing a variation of the estimated analyte values based on statistical, clinical, or physiological parameters, comparing the estimated analyte values with corresponding measure analyte values, and providing output to a user. Estimation can be used to compensate for time lag, match sensor data with corresponding reference data, warn of upcoming clinical risk, replace erroneous sensor data signals, and provide more timely analyte information encourage proactive behavior and preempt clinical risk.
544 citations