Peak Frequency

14,000,000 Leading Edge Experts on the ideXlab platform

Scan Science and Technology

Contact Leading Edge Experts & Companies

Scan Science and Technology

Contact Leading Edge Experts & Companies

The Experts below are selected from a list of 22548 Experts worldwide ranked by ideXlab platform

Sergio Neira - One of the best experts on this subject based on the ideXlab platform.

  • inter annual decrease in pulse rate and Peak Frequency of southeast pacific blue whale song types
    Scientific Reports, 2020
    Co-Authors: Franck Malige, Julie Patris, Susannah J. Buchan, Kathleen M. Stafford, Fannie Shabangu, Ken Findlay, Rodrigo Huckegaete, Sergio Neira
    Abstract:

    A decrease in the Frequency of two southeast Pacific blue whale song types was examined over decades, using acoustic data from several different sources in the eastern Pacific Ocean ranging between the Equator and Chilean Patagonia. The pulse rate of the song units as well as their Peak Frequency were measured using two different methods (summed auto-correlation and Fourier transform). The sources of error associated with each measurement were assessed. There was a linear decline in both parameters for the more common song type (southeast Pacific song type n.2) between 1997 to 2017. An abbreviated analysis, also showed a Frequency decline in the scarcer southeast Pacific song type n.1 between 1970 to 2014, revealing that both song types are declining at similar rates. We discussed the use of measuring both pulse rate and Peak Frequency to examine the Frequency decline. Finally, a comparison of the rates of Frequency decline with other song types reported in the literature and a discussion on the reasons of the Frequency shift are presented.

  • Annual decrease in pulse rate and Peak Frequency of Southeast Pacific blue whale song types since 1970
    2019
    Co-Authors: Franck Malige, Julie Patris, Susannah J. Buchan, Kathleen M. Stafford, Fannie Shabangu, Ken Findlay, Rodrigo Hucke-gaete, Sergio Neira, Christopher Clark, Hervé Glotin
    Abstract:

    We examined the decrease in the Frequency of the dominant southeast Pacific blue whale song type (SEP2) from 1996 to 2017, using acoustic data from five different sources ranging between the equator and Chilean Patagonia. The pulse rate of the song units as well as their Peak Frequency were measured using two different methods (summed auto-correlation and Fourier transform). We assess the sources of error associated with each measurement. There was a linear decline in both parameters for SEP2. A shorter comparative analysis also showed Frequency decline in the scarcer southeast Pacific song type (SEP1) between 1970 to 2014, revealing that both SEP1 and SEP2 are declining at similar rates. We discuss the use of measuring both pulse rate and Peak Frequency to examine Frequency decline. We also compare the rates of Frequency decline with other song types reported in the literature.

Susannah J. Buchan - One of the best experts on this subject based on the ideXlab platform.

  • inter annual decrease in pulse rate and Peak Frequency of southeast pacific blue whale song types
    Scientific Reports, 2020
    Co-Authors: Franck Malige, Julie Patris, Susannah J. Buchan, Kathleen M. Stafford, Fannie Shabangu, Ken Findlay, Rodrigo Huckegaete, Sergio Neira
    Abstract:

    A decrease in the Frequency of two southeast Pacific blue whale song types was examined over decades, using acoustic data from several different sources in the eastern Pacific Ocean ranging between the Equator and Chilean Patagonia. The pulse rate of the song units as well as their Peak Frequency were measured using two different methods (summed auto-correlation and Fourier transform). The sources of error associated with each measurement were assessed. There was a linear decline in both parameters for the more common song type (southeast Pacific song type n.2) between 1997 to 2017. An abbreviated analysis, also showed a Frequency decline in the scarcer southeast Pacific song type n.1 between 1970 to 2014, revealing that both song types are declining at similar rates. We discussed the use of measuring both pulse rate and Peak Frequency to examine the Frequency decline. Finally, a comparison of the rates of Frequency decline with other song types reported in the literature and a discussion on the reasons of the Frequency shift are presented.

  • Annual decrease in pulse rate and Peak Frequency of Southeast Pacific blue whale song types since 1970
    2019
    Co-Authors: Franck Malige, Julie Patris, Susannah J. Buchan, Kathleen M. Stafford, Fannie Shabangu, Ken Findlay, Rodrigo Hucke-gaete, Sergio Neira, Christopher Clark, Hervé Glotin
    Abstract:

    We examined the decrease in the Frequency of the dominant southeast Pacific blue whale song type (SEP2) from 1996 to 2017, using acoustic data from five different sources ranging between the equator and Chilean Patagonia. The pulse rate of the song units as well as their Peak Frequency were measured using two different methods (summed auto-correlation and Fourier transform). We assess the sources of error associated with each measurement. There was a linear decline in both parameters for SEP2. A shorter comparative analysis also showed Frequency decline in the scarcer southeast Pacific song type (SEP1) between 1970 to 2014, revealing that both SEP1 and SEP2 are declining at similar rates. We discuss the use of measuring both pulse rate and Peak Frequency to examine Frequency decline. We also compare the rates of Frequency decline with other song types reported in the literature.

Ken Findlay - One of the best experts on this subject based on the ideXlab platform.

  • inter annual decrease in pulse rate and Peak Frequency of southeast pacific blue whale song types
    Scientific Reports, 2020
    Co-Authors: Franck Malige, Julie Patris, Susannah J. Buchan, Kathleen M. Stafford, Fannie Shabangu, Ken Findlay, Rodrigo Huckegaete, Sergio Neira
    Abstract:

    A decrease in the Frequency of two southeast Pacific blue whale song types was examined over decades, using acoustic data from several different sources in the eastern Pacific Ocean ranging between the Equator and Chilean Patagonia. The pulse rate of the song units as well as their Peak Frequency were measured using two different methods (summed auto-correlation and Fourier transform). The sources of error associated with each measurement were assessed. There was a linear decline in both parameters for the more common song type (southeast Pacific song type n.2) between 1997 to 2017. An abbreviated analysis, also showed a Frequency decline in the scarcer southeast Pacific song type n.1 between 1970 to 2014, revealing that both song types are declining at similar rates. We discussed the use of measuring both pulse rate and Peak Frequency to examine the Frequency decline. Finally, a comparison of the rates of Frequency decline with other song types reported in the literature and a discussion on the reasons of the Frequency shift are presented.

  • Annual decrease in pulse rate and Peak Frequency of Southeast Pacific blue whale song types since 1970
    2019
    Co-Authors: Franck Malige, Julie Patris, Susannah J. Buchan, Kathleen M. Stafford, Fannie Shabangu, Ken Findlay, Rodrigo Hucke-gaete, Sergio Neira, Christopher Clark, Hervé Glotin
    Abstract:

    We examined the decrease in the Frequency of the dominant southeast Pacific blue whale song type (SEP2) from 1996 to 2017, using acoustic data from five different sources ranging between the equator and Chilean Patagonia. The pulse rate of the song units as well as their Peak Frequency were measured using two different methods (summed auto-correlation and Fourier transform). We assess the sources of error associated with each measurement. There was a linear decline in both parameters for SEP2. A shorter comparative analysis also showed Frequency decline in the scarcer southeast Pacific song type (SEP1) between 1970 to 2014, revealing that both SEP1 and SEP2 are declining at similar rates. We discuss the use of measuring both pulse rate and Peak Frequency to examine Frequency decline. We also compare the rates of Frequency decline with other song types reported in the literature.

Franck Malige - One of the best experts on this subject based on the ideXlab platform.

  • inter annual decrease in pulse rate and Peak Frequency of southeast pacific blue whale song types
    Scientific Reports, 2020
    Co-Authors: Franck Malige, Julie Patris, Susannah J. Buchan, Kathleen M. Stafford, Fannie Shabangu, Ken Findlay, Rodrigo Huckegaete, Sergio Neira
    Abstract:

    A decrease in the Frequency of two southeast Pacific blue whale song types was examined over decades, using acoustic data from several different sources in the eastern Pacific Ocean ranging between the Equator and Chilean Patagonia. The pulse rate of the song units as well as their Peak Frequency were measured using two different methods (summed auto-correlation and Fourier transform). The sources of error associated with each measurement were assessed. There was a linear decline in both parameters for the more common song type (southeast Pacific song type n.2) between 1997 to 2017. An abbreviated analysis, also showed a Frequency decline in the scarcer southeast Pacific song type n.1 between 1970 to 2014, revealing that both song types are declining at similar rates. We discussed the use of measuring both pulse rate and Peak Frequency to examine the Frequency decline. Finally, a comparison of the rates of Frequency decline with other song types reported in the literature and a discussion on the reasons of the Frequency shift are presented.

  • Annual decrease in pulse rate and Peak Frequency of Southeast Pacific blue whale song types since 1970
    2019
    Co-Authors: Franck Malige, Julie Patris, Susannah J. Buchan, Kathleen M. Stafford, Fannie Shabangu, Ken Findlay, Rodrigo Hucke-gaete, Sergio Neira, Christopher Clark, Hervé Glotin
    Abstract:

    We examined the decrease in the Frequency of the dominant southeast Pacific blue whale song type (SEP2) from 1996 to 2017, using acoustic data from five different sources ranging between the equator and Chilean Patagonia. The pulse rate of the song units as well as their Peak Frequency were measured using two different methods (summed auto-correlation and Fourier transform). We assess the sources of error associated with each measurement. There was a linear decline in both parameters for SEP2. A shorter comparative analysis also showed Frequency decline in the scarcer southeast Pacific song type (SEP1) between 1970 to 2014, revealing that both SEP1 and SEP2 are declining at similar rates. We discuss the use of measuring both pulse rate and Peak Frequency to examine Frequency decline. We also compare the rates of Frequency decline with other song types reported in the literature.

Fr�d�ric Canini - One of the best experts on this subject based on the ideXlab platform.

  • Low β2 Main Peak Frequency in the Electroencephalogram Signs Vulnerability to Depression
    Frontiers in Neuroscience, 2016
    Co-Authors: Damien Claverie, Chrystel Becker, Mathieu Coutan, Fran�oise Camus, Antoine Ghestem, Jean Jacques Benoliel, Christophe Bernard, Fr�d�ric Canini
    Abstract:

    Objective: After an intense and repeated stress some rats become vulnerable to depression. This state is characterized by persistent low serum BDNF concentration. Our objective was to determine whether electrophysiological markers can sign vulnerability to depression. Methods: Forty-three Sprague Dawley rats were recorded with supradural electrodes above hippocampus and connected to wireless EEG transmitters. Twenty-nine animals experienced four daily social defeats (SD) followed by one month recovery. After SD, 14 rats had persistent low serum BDNF level and were considered as vulnerable (V) while the 15 others were considered as non-vulnerable (NV). EEG signals were analyzed during active waking before SD (Baseline), just after SD (Post-Stress) and 1 month after SD (Recovery). Results: We found that V animals are characterized by higher high θ and α spectral relative powers and lower β2 main Peak Frequency before SD. These differences are maintained at Post-Stress and Recovery for α spectral relative powers and β2 main Peak Frequency. Using ROC analysis, we show that low β2 main Peak Frequency assessed during Baseline is a good predictor of the future state of vulnerability to depression. Conclusion: Given the straightforwardness of EEG recordings, these results open the way to prospective studies in humans aiming to identify population at-risk for depression.

  • Low β2 main Peak Frequency in the electroencephalogram signs vulnerability to depression
    Frontiers in Neuroscience, 2016
    Co-Authors: Damien Claverie, Chrystel Becker, Mathieu Coutan, Fran�oise Camus, Antoine Ghestem, Jean Jacques Benoliel, Christophe Bernard, Fr�d�ric Canini
    Abstract:

    Objective: After an intense and repeated stress some rats become vulnerable to depression. This state is characterized by persistent low serum BDNF concentration. Our objective was to determine whether electrophysiological markers can sign vulnerability to depression. Methods: Forty-three Sprague Dawley rats were recorded with supradural electrodes above hippocampus and connected to wireless EEG transmitters. Twenty-nine animals experienced four daily social defeats (SD) followed by 1 month recovery. After SD, 14 rats had persistent low serum BDNF level and were considered as vulnerable (V) while the 15 others were considered as non-vulnerable (NV). EEG signals were analyzed during active waking before SD (Baseline), just after SD (Post-Stress) and 1 month after SD (Recovery). Results: We found that V animals are characterized by higher high θ and α spectral relative powers and lower β2 main Peak Frequency before SD. These differences are maintained at Post-Stress and Recovery for α spectral relative powers and β2 main Peak Frequency. Using ROC analysis, we show that low β2 main Peak Frequency assessed during Baseline is a good predictor of the future state of vulnerability to depression. Conclusion: Given the straightforwardness of EEG recordings, these results open the way to prospective studies in humans aiming to identify population at-risk for depression.