The Experts below are selected from a list of 32055 Experts worldwide ranked by ideXlab platform
Tiago H Falk - One of the best experts on this subject based on the ideXlab platform.
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Breathing Rate complexity features for in the wild stress and anxiety measurement
European Signal Processing Conference, 2019Co-Authors: Abhishek Tiwari, Shrikanth S Narayanan, Tiago H FalkAbstract:Features extracted from respiratory activity signals have been shown to carry information about mental states such as anxiety and mental stress. Such findings, however, are based on studies conducted mostly in controlled laboratory environments with artificially-induced psychological responses. While this assures that high quality data are collected, the amount of data is limited and the transferability of the findings to more ecologically-appropriate natural settings (i.e., “in-the-wild”) remains unknown. In this paper, we propose new non-linear complexity measures computed from four different respiration activity time series (i.e., inter-breath interval, inhale-to-exhale ratio, inhale/exhale amplitude envelope, and interbreath difference) and show their discriminatory power for anxiety and stress monitoring in the workplace. The new features are tested on a dataset collected from 200 hospital workers (nurses and staff) during their normal work shifts. The proposed features are shown to be complementary to conventional measures of Breathing Rate and depth.
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EUSIPCO - Breathing Rate Complexity Features for “In-the-Wild” Stress and Anxiety Measurement
2019 27th European Signal Processing Conference (EUSIPCO), 2019Co-Authors: Abhishek Tiwari, Shrikanth S Narayanan, Tiago H FalkAbstract:Features extracted from respiratory activity signals have been shown to carry information about mental states such as anxiety and mental stress. Such findings, however, are based on studies conducted mostly in controlled laboratory environments with artificially-induced psychological responses. While this assures that high quality data are collected, the amount of data is limited and the transferability of the findings to more ecologically-appropriate natural settings (i.e., “in-the-wild”) remains unknown. In this paper, we propose new non-linear complexity measures computed from four different respiration activity time series (i.e., inter-breath interval, inhale-to-exhale ratio, inhale/exhale amplitude envelope, and interbreath difference) and show their discriminatory power for anxiety and stress monitoring in the workplace. The new features are tested on a dataset collected from 200 hospital workers (nurses and staff) during their normal work shifts. The proposed features are shown to be complementary to conventional measures of Breathing Rate and depth.
Jakub Demcak - One of the best experts on this subject based on the ideXlab platform.
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SMC - A joint localization and Breathing Rate estimation of static persons using UWB radar
2017 IEEE International Conference on Systems Man and Cybernetics (SMC), 2017Co-Authors: Dusan Kocur, Daniel Novák, Jakub DemcakAbstract:In the past period, great efforts have been made to develop methods for people detection based on monitoring their respiratory motion using ultra-wide band sensors (radars). The basic principle of these methods consists in the detection of signal components of raw radar data possessing a significant power in the frequency band 0.1 Hz-0.7 Hz (a frequency range of human respiratory Rate) for a constant range between the target and radar antennas. In the connection with the localization of people, a new requirement has been appeared. It has been requested not only to localize people, but also to estimate the frequency of their Breathing. This finding may indicate health and psychological state of monitored persons. However, the problem of multiple persons localization associated with the estimation of their Breathing Rate has not been yet studied deeply. In order to fill this gap, a new radar signal processing procedure for a joint localization and Breathing Rate estimation of persons will be introduced in the paper. The performance of the proposed procedure will be illustRated by an experimental scenario intent on through-the-wall localization and respiratory Rate estimation of two static persons using single ultra-wide band sensor employing one transmitting and two receiving antennas.
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Static person detection and localization with estimation of person's Breathing Rate using single multistatic UWB radar
2017 IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI), 2017Co-Authors: Daniel Novák, Dusan Kocur, Jakub DemcakAbstract:In the past period, great efforts have been made to develop the methods for the detection of human beings based on a monitoring their respiratory motion. For that purpose, ultra-wideband sensors (radars) operating in the frequency band DC-5GHz can be used with advantage. The basic principle of respiratory motion detection consists in the identification of sensor signal components possessing a significant power in the frequency band 0.2–0.7 Hz (frequency band of a human respiratory Rate) corresponding to a constant range between the target and radar. However, the problem of person localization associated with the estimation of their Breathing Rate has not been studied deeply. In order to fill this gap, an approach for a joint localization and Breathing Rate estimation of a person will be introduced in this chapter. For that purpose, a combination of a method for the static person localization based on power-spectrum estimation using Welch periodogram referred to as WP-STAPELOC method and the Welch periodogram, MUSIC algorithm and Burg methods for the estimation of a fundamental harmonic of respiratory motion will be introduced. The performance of proposed procedure will be evaluated using a data obtained at experimental scenario. Moreover, a reference measurement will be performed in order to compare the results from UWB radar with the results from the optical sensor.
Abhishek Tiwari - One of the best experts on this subject based on the ideXlab platform.
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Breathing Rate complexity features for in the wild stress and anxiety measurement
European Signal Processing Conference, 2019Co-Authors: Abhishek Tiwari, Shrikanth S Narayanan, Tiago H FalkAbstract:Features extracted from respiratory activity signals have been shown to carry information about mental states such as anxiety and mental stress. Such findings, however, are based on studies conducted mostly in controlled laboratory environments with artificially-induced psychological responses. While this assures that high quality data are collected, the amount of data is limited and the transferability of the findings to more ecologically-appropriate natural settings (i.e., “in-the-wild”) remains unknown. In this paper, we propose new non-linear complexity measures computed from four different respiration activity time series (i.e., inter-breath interval, inhale-to-exhale ratio, inhale/exhale amplitude envelope, and interbreath difference) and show their discriminatory power for anxiety and stress monitoring in the workplace. The new features are tested on a dataset collected from 200 hospital workers (nurses and staff) during their normal work shifts. The proposed features are shown to be complementary to conventional measures of Breathing Rate and depth.
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EUSIPCO - Breathing Rate Complexity Features for “In-the-Wild” Stress and Anxiety Measurement
2019 27th European Signal Processing Conference (EUSIPCO), 2019Co-Authors: Abhishek Tiwari, Shrikanth S Narayanan, Tiago H FalkAbstract:Features extracted from respiratory activity signals have been shown to carry information about mental states such as anxiety and mental stress. Such findings, however, are based on studies conducted mostly in controlled laboratory environments with artificially-induced psychological responses. While this assures that high quality data are collected, the amount of data is limited and the transferability of the findings to more ecologically-appropriate natural settings (i.e., “in-the-wild”) remains unknown. In this paper, we propose new non-linear complexity measures computed from four different respiration activity time series (i.e., inter-breath interval, inhale-to-exhale ratio, inhale/exhale amplitude envelope, and interbreath difference) and show their discriminatory power for anxiety and stress monitoring in the workplace. The new features are tested on a dataset collected from 200 hospital workers (nurses and staff) during their normal work shifts. The proposed features are shown to be complementary to conventional measures of Breathing Rate and depth.
Nicola Montano - One of the best experts on this subject based on the ideXlab platform.
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Optimization of Vagal Stimulation Protocol Based on Spontaneous Breathing Rate.
Frontiers in physiology, 2018Co-Authors: Liliane Appratto De Souza, Janaina Barcellos Ferreira, Andressa S.o. Schein, Daniela Ravizzoni Dartora, Adenauer G. Casali, Catharina M. Carvalho Scassola, Eleonora Tobaldini, Nicola Montano, Stefano Guzzetti, Alberto PortaAbstract:Controlled Breathing maneuver is being widely applied for cardiovascular autonomic control evaluation and cardiac vagal activation through reduction of Breathing Rate (BR). However, this maneuver presented contradictory results depending on the protocol and the chosen BR. These variations may be related to the individual intrinsic profile baseline sympathetic tonus, as described before by others. In this study, we evaluated the effect of controlled Breathing maneuver on cardiovascular autonomic control in 26 healthy subjects allocated into two protocols: (1) controlled Breathing in three different Rates (10, 15, and 20 breaths/min) and (2) controlled Breathing in Rates normalized by the individual spontaneous Breathing Rate (SBR) at 100, 80, 70, and 50%. Our results showed autonomic responses favorable to vagal modulation with the lower BR maneuvers. Nevertheless, while this activation was variable using the standard protocol, all participants of the normalized protocol demonstRated an increase of vagal modulation at 80% BR (HFnu 80 = 67.5% vs. 48.2%, p < 0.0001). These results suggest that controlled Breathing protocols to induce vagal activation should consider the SBR, being limited to values modeRately lower than the baseline.
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sympathetic neural outflow and chemoreflex sensitivity are related to spontaneous Breathing Rate in normal men
Hypertension, 2006Co-Authors: Krzysztof Narkiewicz, Nicola Montano, Philippe Van De Borne, Dagmara Hering, Tomas Kara, Virend K SomersAbstract:Respiration contributes importantly to short-term modulation of sympathetic nerve activity. However, the relationship between spontaneous Breathing Rate, chemoreflex function, and direct measures of sympathetic traffic in healthy humans has not been studied previously. We tested the hypothesis that muscle sympathetic nerve activity and chemoreflex sensitivity are linked independently to respiratory Rate in normal subjects. We studied 69 normal male subjects aged 29.6±8.1 years. Subjects were subdivided according to the tertiles of respiratory Rate distributions. Mean respiration Rate was 10.6 breaths/min in the first tertile, 14.8 breaths/min in the second tertile, and 18.0 breaths/min in the third tertile. Subjects from the third tertile (faster respiratory Rate) had greater sympathetic activity than subjects from the first tertile (slower respiratory Rate; 29±3 versus 17±2 bursts/min; P r =0.42; P P =0.005) and hypoxia (5.7±0.8 versus 2.4±0.7 L/min; P =0.007). Muscle sympathetic nerve activity and chemoreflex sensitivity are linked to spontaneous respiratory Rate in normal humans. Faster respiratory Rate is associated with higher levels of sympathetic traffic and potentiated responses to hypoxia and hypercapnia. Spontaneous Breathing frequency, central sympathetic outflow, and chemoreflex sensitivity exhibit significant and hitherto unrecognized interactions in the modulation of neural circulatory control.
Alberto Porta - One of the best experts on this subject based on the ideXlab platform.
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Optimization of Vagal Stimulation Protocol Based on Spontaneous Breathing Rate.
Frontiers in physiology, 2018Co-Authors: Liliane Appratto De Souza, Janaina Barcellos Ferreira, Andressa S.o. Schein, Daniela Ravizzoni Dartora, Adenauer G. Casali, Catharina M. Carvalho Scassola, Eleonora Tobaldini, Nicola Montano, Stefano Guzzetti, Alberto PortaAbstract:Controlled Breathing maneuver is being widely applied for cardiovascular autonomic control evaluation and cardiac vagal activation through reduction of Breathing Rate (BR). However, this maneuver presented contradictory results depending on the protocol and the chosen BR. These variations may be related to the individual intrinsic profile baseline sympathetic tonus, as described before by others. In this study, we evaluated the effect of controlled Breathing maneuver on cardiovascular autonomic control in 26 healthy subjects allocated into two protocols: (1) controlled Breathing in three different Rates (10, 15, and 20 breaths/min) and (2) controlled Breathing in Rates normalized by the individual spontaneous Breathing Rate (SBR) at 100, 80, 70, and 50%. Our results showed autonomic responses favorable to vagal modulation with the lower BR maneuvers. Nevertheless, while this activation was variable using the standard protocol, all participants of the normalized protocol demonstRated an increase of vagal modulation at 80% BR (HFnu 80 = 67.5% vs. 48.2%, p < 0.0001). These results suggest that controlled Breathing protocols to induce vagal activation should consider the SBR, being limited to values modeRately lower than the baseline.