The Experts below are selected from a list of 15063 Experts worldwide ranked by ideXlab platform

Ann M Rasmusson - One of the best experts on this subject based on the ideXlab platform.

  • sweat pore reactivity as a surrogate measure of sympathetic nervous system activity in trauma exposed individuals with and without posttraumatic stress disorder
    Psychophysiology, 2016
    Co-Authors: Babajide O Familoni, Kristin Gregor, Thomas S Dodson, Alan T Krzywicki, Bobby N Lowery, Scott P Orr, Michael K Suvak, Ann M Rasmusson
    Abstract:

    Stress analysis by FLIR (Forward-Looking Infrared) evaluation (SAFE) has been demonstrated to monitor sweat pore activation (SPA) as a novel surrogate measure of sympathetic nervous system (SNS) activity in a normal population. SNS responses to a series of 15 1-s, 82 dB, white noise bursts were measured by skin conductance (SC) and SAFE monitoring of SPA on the fingers (FiP) and face (FaP) in 10 participants with posttraumatic stress disorder (PTSD) and 16 trauma-exposed participants without PTSD (Mage  = 48.92 ± 12.00 years; 26.9% female). Within participants, SC and FiP responses across trials were strongly correlated (r = .92, p < .001). Correlations between SC and FaP (r = .76, p = .001) and between FiP and FaP (r = .47, p = .005) were smaller. The habituation of SNS responses across the 15 trials was substantial (SC: d = -2.97; FiP: d = -2.34; FaP: d = -1.02). There was a strong correlation between habituation effects for SC and FiP (r = .76, p < .001), but not for SC and FaP (r = .15, p = .45) or FiP and FaP (r = .29, p = .16). Participants with PTSD showed larger SNS responses to the first loud noise than those without PTSD. PTSD reexperiencing symptoms assessed by the PTSD Checklist on the day of testing were associated with the SNS responses to the first loud noise measured by SC (d = 1.19) and FiP (d = .99), but not FaP (d = .10). This study confirms convergence of SAFE and SC as valid measures of SNS activity. SAFE FiP and SC responses were highly predictive of self-rated PTSD reexperiencing symptoms. SAFE may offer an attractive alternative for applications in PTSD and similar populations.

  • sweat pore reactivity as a surrogate measure of sympathetic nervous system activity in trauma exposed individuals with and without posttraumatic stress disorder
    Psychophysiology, 2016
    Co-Authors: Babajide O Familoni, Kristin Gregor, Thomas S Dodson, Alan T Krzywicki, Bobby N Lowery, Michael K Suvak, Ann M Rasmusson
    Abstract:

    : Stress analysis by FLIR (Forward-Looking Infrared) evaluation (SAFE) has been demonstrated to monitor sweat pore activation (SPA) as a novel surrogate measure of sympathetic nervous system (SNS) activity in a normal population. SNS responses to a series of 15 1-s, 82 dB, white noise bursts were measured by skin conductance (SC) and SAFE monitoring of SPA on the fingers (FiP) and face (FaP) in 10 participants with posttraumatic stress disorder (PTSD) and 16 trauma-exposed participants without PTSD (Mage  = 48.92 ± 12.00 years; 26.9% female). Within participants, SC and FiP responses across trials were strongly correlated (r = .92, p < .001). Correlations between SC and FaP (r = .76, p = .001) and between FiP and FaP (r = .47, p = .005) were smaller. The habituation of SNS responses across the 15 trials was substantial (SC: d = -2.97; FiP: d = -2.34; FaP: d = -1.02). There was a strong correlation between habituation effects for SC and FiP (r = .76, p < .001), but not for SC and FaP (r = .15, p = .45) or FiP and FaP (r = .29, p = .16). Participants with PTSD showed larger SNS responses to the first loud noise than those without PTSD. PTSD reexperiencing symptoms assessed by the PTSD Checklist on the day of testing were associated with the SNS responses to the first loud noise measured by SC (d = 1.19) and FiP (d = .99), but not FaP (d = .10). This study confirms convergence of SAFE and SC as valid measures of SNS activity. SAFE FiP and SC responses were highly predictive of self-rated PTSD reexperiencing symptoms. SAFE may offer an attractive alternative for applications in PTSD and similar populations.

G S York - One of the best experts on this subject based on the ideXlab platform.

  • efficacy of aerial forward looking Infrared surveys for detecting polar bear maternal dens
    PLOS ONE, 2020
    Co-Authors: Tom S Smith, Steven C. Amstrup, B J Kirschhoffer, G S York
    Abstract:

    Denned polar bears (Ursus maritimus) are invisible under the snow, therefore winter-time petroleum exploration and development activities in northern Alaska have potential to disturb maternal polar bears and their cubs. Previous research determined forward looking Infrared (FLIR) imagery could detect many polar bear maternal dens under the snow, but also identified limitations of FLIR imagery. We evaluated the efficacy of FLIR-surveys conducted by oil-field operators from 2004-2016. Aerial FLIR surveys detected 15 of 33 (45%) and missed 18 (55%) of the dens known to be within surveyed areas. While greater adherence to previously recommended protocols may improve FLIR detection rates, the physical characteristics of polar bear maternal dens, increasing frequencies of weather unsuitable for FLIR detections-caused by global warming, and competing false positives are likely to prevent FLIR surveys from detecting maternal dens reliably enough to afford protections consonant with increasing global threats to polar bear welfare.

  • efficacy of aerial forward looking Infrared surveys for detecting polar bear maternal dens
    bioRxiv, 2019
    Co-Authors: Tom S Smith, Steven C. Amstrup, B J Kirschhoffer, G S York
    Abstract:

    Abstract Denned polar bears are invisible under the snow, therefore winter-time petroleum exploration and development activities in northern Alaska have potential to disturb maternal polar bears and their cubs. Previous research determined forward looking Infrared (FLIR) imagery could detect many polar bear maternal dens under the snow, but also identified limitations of FLIR imagery. We evaluated the efficacy of FLIR-surveys conducted by oil-field operators from 2004-2016. Aerial FLIR surveys detected 15 of 33 (45%) and missed 18 (55%) of the dens known to be within surveyed areas. While greater adherence to previously recommended protocols may improve FLIR detection rates, the physical characteristics of polar bear maternal dens, increasing frequencies of weather unsuitable for FLIR detections—caused by global warming, and competing “hot spots” are likely to prevent FLIR surveys from detecting maternal dens reliably enough to afford protections consonant with increasing global threats to polar bear welfare.

Tom S Smith - One of the best experts on this subject based on the ideXlab platform.

  • efficacy of aerial forward looking Infrared surveys for detecting polar bear maternal dens
    PLOS ONE, 2020
    Co-Authors: Tom S Smith, Steven C. Amstrup, B J Kirschhoffer, G S York
    Abstract:

    Denned polar bears (Ursus maritimus) are invisible under the snow, therefore winter-time petroleum exploration and development activities in northern Alaska have potential to disturb maternal polar bears and their cubs. Previous research determined forward looking Infrared (FLIR) imagery could detect many polar bear maternal dens under the snow, but also identified limitations of FLIR imagery. We evaluated the efficacy of FLIR-surveys conducted by oil-field operators from 2004-2016. Aerial FLIR surveys detected 15 of 33 (45%) and missed 18 (55%) of the dens known to be within surveyed areas. While greater adherence to previously recommended protocols may improve FLIR detection rates, the physical characteristics of polar bear maternal dens, increasing frequencies of weather unsuitable for FLIR detections-caused by global warming, and competing false positives are likely to prevent FLIR surveys from detecting maternal dens reliably enough to afford protections consonant with increasing global threats to polar bear welfare.

  • efficacy of aerial forward looking Infrared surveys for detecting polar bear maternal dens
    bioRxiv, 2019
    Co-Authors: Tom S Smith, Steven C. Amstrup, B J Kirschhoffer, G S York
    Abstract:

    Abstract Denned polar bears are invisible under the snow, therefore winter-time petroleum exploration and development activities in northern Alaska have potential to disturb maternal polar bears and their cubs. Previous research determined forward looking Infrared (FLIR) imagery could detect many polar bear maternal dens under the snow, but also identified limitations of FLIR imagery. We evaluated the efficacy of FLIR-surveys conducted by oil-field operators from 2004-2016. Aerial FLIR surveys detected 15 of 33 (45%) and missed 18 (55%) of the dens known to be within surveyed areas. While greater adherence to previously recommended protocols may improve FLIR detection rates, the physical characteristics of polar bear maternal dens, increasing frequencies of weather unsuitable for FLIR detections—caused by global warming, and competing “hot spots” are likely to prevent FLIR surveys from detecting maternal dens reliably enough to afford protections consonant with increasing global threats to polar bear welfare.

Mohammad S Alam - One of the best experts on this subject based on the ideXlab platform.

  • automatic target detection in forward looking Infrared imagery via probabilistic neural networks
    Applied Optics, 2009
    Co-Authors: Jesmin F Khan, Mohammad S Alam, Sharif M A Bhuiyan
    Abstract:

    This paper presents a technique for automatic detection of the targets in Forward-Looking Infrared (FLIR) imagery. Mathematical morphology is applied for the preliminary selection of possible regions of interest (ROI). An efficient clutter rejecter module based on probabilistic neural network is proposed, which is trained by using both target and background features to ensure excellent classification performance by moving the ROI in several directions with respect to the center of the detected target patch. Experimental results using real-life FLIR imagery confirm the excellent performance of the detector and the effectiveness of the proposed clutter rejecter module.

  • target tracking in Infrared imagery using weighted composite reference function based decision fusion
    IEEE Transactions on Image Processing, 2006
    Co-Authors: Amer Dawoud, Mohammad S Alam
    Abstract:

    In this paper, we propose a novel decision fusion algorithm for target tracking in Forward-Looking Infrared image sequences recorded from an airborne platform. An important part of this study is identifying the failure modes in this type of imagery. Our strategy is to prevent these failure modes from developing into tracking failures. The results furnished by competing ego-motion compensation and tracking algorithms are evaluated based on their similarity to a target model constructed using the weighted composite reference function.

  • automatic target tracking in flir image sequences using intensity variation function and template modeling
    IEEE Transactions on Instrumentation and Measurement, 2005
    Co-Authors: Abdullah Bal, Mohammad S Alam
    Abstract:

    A novel automatic target tracking (ATT) algorithm for tracking targets in Forward-Looking Infrared (FLIR) image sequences is proposed in this paper. The proposed algorithm efficiently utilizes the target intensity feature, surrounding background, and shape information for tracking purposes. This algorithm involves the selection of a suitable subframe and a target window based on the intensity and shape of the known reference target. The subframe size is determined from the region of interest and is constrained by target size, target motion, and camera movement. Then, an intensity variation function (IVF) is developed to model the target intensity profile. The IVF model generates the maximum peak value where the reference target intensity variation is similar to the candidate target intensity variation. In the proposed algorithm, a control module has been incorporated to evaluate IVF results and to detect a false alarm (missed target). Upon detecting a false alarm, the controller triggers another algorithm, called template model (TM), which is based on the shape knowledge of the reference target. By evaluating the outputs from the IVF and TM techniques, the tracker determines the real coordinates of one or more targets. The proposed technique also alleviates the detrimental effects of camera motion, by appropriately adjusting the subframe size. Experimental results using real-life long-wave and medium-wave Infrared image sequences are shown to validate the robustness of the proposed technique.

  • fringe adjusted joint transform correlator based target detection and tracking in forward looking Infrared image sequence
    Optical Engineering, 2004
    Co-Authors: Mohammad S Alam, M Haque, Jasmin Khan, Houssain Kettani
    Abstract:

    The joint transform correlator (JTC) technique has been found to be suitable for real time pattern recognition applications. Among the various JTC techniques proposed in the literature, the fringe-adjusted JTC has been found to yield better correlation output for target detection. We propose a generalized fringe-adjusted JTC (GFJTC) based algorithm for efficient detection and tracking of a target in a video sequence. The proposed algorithm has been found to be suitable for near real-time recognition and tracking of a static or moving target, while accommodating the detrimental effects of background variations as well as other artifacts. The performance of the proposed technique has been verified with real life forward looking Infrared (FLIR) image sequences.

Kristin Gregor - One of the best experts on this subject based on the ideXlab platform.

  • sweat pore reactivity as a surrogate measure of sympathetic nervous system activity in trauma exposed individuals with and without posttraumatic stress disorder
    Psychophysiology, 2016
    Co-Authors: Babajide O Familoni, Kristin Gregor, Thomas S Dodson, Alan T Krzywicki, Bobby N Lowery, Scott P Orr, Michael K Suvak, Ann M Rasmusson
    Abstract:

    Stress analysis by FLIR (Forward-Looking Infrared) evaluation (SAFE) has been demonstrated to monitor sweat pore activation (SPA) as a novel surrogate measure of sympathetic nervous system (SNS) activity in a normal population. SNS responses to a series of 15 1-s, 82 dB, white noise bursts were measured by skin conductance (SC) and SAFE monitoring of SPA on the fingers (FiP) and face (FaP) in 10 participants with posttraumatic stress disorder (PTSD) and 16 trauma-exposed participants without PTSD (Mage  = 48.92 ± 12.00 years; 26.9% female). Within participants, SC and FiP responses across trials were strongly correlated (r = .92, p < .001). Correlations between SC and FaP (r = .76, p = .001) and between FiP and FaP (r = .47, p = .005) were smaller. The habituation of SNS responses across the 15 trials was substantial (SC: d = -2.97; FiP: d = -2.34; FaP: d = -1.02). There was a strong correlation between habituation effects for SC and FiP (r = .76, p < .001), but not for SC and FaP (r = .15, p = .45) or FiP and FaP (r = .29, p = .16). Participants with PTSD showed larger SNS responses to the first loud noise than those without PTSD. PTSD reexperiencing symptoms assessed by the PTSD Checklist on the day of testing were associated with the SNS responses to the first loud noise measured by SC (d = 1.19) and FiP (d = .99), but not FaP (d = .10). This study confirms convergence of SAFE and SC as valid measures of SNS activity. SAFE FiP and SC responses were highly predictive of self-rated PTSD reexperiencing symptoms. SAFE may offer an attractive alternative for applications in PTSD and similar populations.

  • sweat pore reactivity as a surrogate measure of sympathetic nervous system activity in trauma exposed individuals with and without posttraumatic stress disorder
    Psychophysiology, 2016
    Co-Authors: Babajide O Familoni, Kristin Gregor, Thomas S Dodson, Alan T Krzywicki, Bobby N Lowery, Michael K Suvak, Ann M Rasmusson
    Abstract:

    : Stress analysis by FLIR (Forward-Looking Infrared) evaluation (SAFE) has been demonstrated to monitor sweat pore activation (SPA) as a novel surrogate measure of sympathetic nervous system (SNS) activity in a normal population. SNS responses to a series of 15 1-s, 82 dB, white noise bursts were measured by skin conductance (SC) and SAFE monitoring of SPA on the fingers (FiP) and face (FaP) in 10 participants with posttraumatic stress disorder (PTSD) and 16 trauma-exposed participants without PTSD (Mage  = 48.92 ± 12.00 years; 26.9% female). Within participants, SC and FiP responses across trials were strongly correlated (r = .92, p < .001). Correlations between SC and FaP (r = .76, p = .001) and between FiP and FaP (r = .47, p = .005) were smaller. The habituation of SNS responses across the 15 trials was substantial (SC: d = -2.97; FiP: d = -2.34; FaP: d = -1.02). There was a strong correlation between habituation effects for SC and FiP (r = .76, p < .001), but not for SC and FaP (r = .15, p = .45) or FiP and FaP (r = .29, p = .16). Participants with PTSD showed larger SNS responses to the first loud noise than those without PTSD. PTSD reexperiencing symptoms assessed by the PTSD Checklist on the day of testing were associated with the SNS responses to the first loud noise measured by SC (d = 1.19) and FiP (d = .99), but not FaP (d = .10). This study confirms convergence of SAFE and SC as valid measures of SNS activity. SAFE FiP and SC responses were highly predictive of self-rated PTSD reexperiencing symptoms. SAFE may offer an attractive alternative for applications in PTSD and similar populations.