- 标题
- 摘要
- 关键词
- 实验方案
- 产品
-
USING PHOTOPLETHYSMOGRAPHY IMAGING FOR OBJECTIVE CONTACTLESS PAIN ASSESSMENT
摘要： This work presents an extension to the known Analgesia Nociception Index (ANI), which provides an objective estimation of the current depth of analgesia. An adequate “measure” would facilitate so-called balanced anesthesia. Generally, ANI is computed using heart rate variability or rather beat-to-beat intervals based on an electrocardiogram (ECG). There are clinical situations where no ECG monitoring is available or required, but only photoplethysmography (PPG), e.g., in some cases in postoperative care or pain therapy. In addition, a combination of PPG and ECG for obtaining beat-to-beat intervals may lead to increased robustness and reliability for dealing with artifacts. This work therefore investigates the computation of ANI using standard PPG. In addition, new methods and opportunities are presented using contactless PPG imaging (PPGI). PPGI?enables contactless PPG recordings for deriving beat-to-beat intervals as well as analysis of local perfusion and wounds.
关键词： PPG,nociception,image based PPG,anesthesiology,ECG,pain,analgesia,heart rate variability,PPGI
更新于2025-09-23 15:21:01
-
Optimal fiducial points for pulse rate variability analysis from forehead and finger PPG signals
摘要： Objective: The aim of this work is to evaluate and compare five fiducial points for the temporal location of each pulse wave from forehead and finger photoplethysmographic pulse waves signals (PPG) to perform pulse rate variability (PRV) analysis as a surrogate of heart rate variability (HRV) analysis. Approach: Forehead and finger PPG signals were recorded during tilt-table test simultaneously to the ECG. Artifacts were detected and removed and, five fiducial points were computed: apex, middle-amplitude and foot points of the PPG signal, apex point of the first derivative signal and, the intersection point of the tangent to the PPG waveform at the apex of the derivative PPG signal and the tangent to the foot of the PPG pulse defined as intersecting tangents method. Pulse period (PP) time intervals series were obtained from both PPG signals and compared to the RR intervals obtained from the ECG. Heart and pulse rate variability signals (HRV and PRV) were estimated and, classical time and frequency domain indices were computed. Main Results: The middle-amplitude point of the PPG signal (nM ), the apex point of the first derivative (n? A), and the tangents intersection point (nT ) are the most suitable fiducial points for PRV analysis, which result in the lowest relative errors estimated between PRV and HRV indices, higher correlation coefficients and reliability indexes. Statistically significant differences according to the Wilcoxon test between PRV and HRV signals were found for the apex and foot fiducial points of the PPG, as well as the lowest agreement between RR and PP series according to Bland-Altman analysis. Hence, they have been considered less accurate for variability analysis. In addition, the relative errors are significantly lower for nM and n? A features by using Friedman statistics with Bonferroni multiple-comparison test and, we propose nM as the most accurate fiducial point. Based on our results, forehead PPG seems to provide more reliable information for a PRV assessment than finger PPG. Significance: The accuracy of the pulse wave detections depends on the morphology of the PPG. There is therefore a need to widely define the most accurate fiducial point to perform a PRV analysis under non-stationary conditions based on different PPG sensor locations and signal acquisition techniques.
关键词： Fiducial point selection,Transmission and Reflection modes,Pulse rate variability,PPG,ECG,Heart rate variability,Autonomic nervous system,Photoplethysmography
更新于2025-09-19 17:15:36
-
[IEEE 2019 Photonics & Electromagnetics Research Symposium - Fall (PIERS - Fall) - Xiamen, China (2019.12.17-2019.12.20)] 2019 Photonics & Electromagnetics Research Symposium - Fall (PIERS - Fall) - A Multifunctional Polarization Converter Base on Solid Plasma Metasurface
摘要： Recent advances in wearable and/or biomedical sensing technologies have made it possible to record continuous biomedical signals over long periods of time. This paper reviews multiscale approaches for their analysis.
关键词： heart failure,multiscale fluctuations,spontaneous physical activity,complex biosignals,Autonomic nervous system,psychiatric disorder,dynamical disease,heart rate variability
更新于2025-09-19 17:13:59
-
[IEEE 2019 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC) - Munich, Germany (2019.6.23-2019.6.27)] 2019 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC) - Adiabatic Frequency Conversion in Non-Centrosymmetric High-Q Optical Microresonators
摘要： The collection of long-term health data is accelerating with the advent of portable/wearable medical devices including electrocardiograms (ECGs). This large corpus of data presents great opportunities to improve the quality of cardiac care. However, analyzing the data from these sensors is a challenge; the relevant information from ～120 000 heart beats per patient per day must be condensed into a human-readable form. Our goal is to facilitate the analysis of these unwieldy data sets. We have developed an open source tool for creating easy-to-interpret plots of cardiac information over long periods. We call these plots ECG clocks. The utility of our ECG clock library is demonstrated through multiple examples drawn from a database of 24-h Holter recordings. In these case studies, we focus on the visualization of heart rate and QT dynamics. The ECG clock concept is shown to be relevant for both physicians and researchers, for identifying healthy and abnormal values and patterns in ECG recordings. In this paper, we describe how to use the ECG clock library to analyze 24-h ECG recordings, and how to extend the source code for your own purposes. The tool is applicable to a wide range of cardiac monitoring tasks, such as heart rate variability or ST elevation. This library, which we have made freely available, can help provide new insights into circadian patterns of cardiac function in individuals and groups.
关键词： open-source software,Electrocardiogram,visualization,long QT syndrome,heart rate variability
更新于2025-09-19 17:13:59
-
[IEEE 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Chicago, IL, USA (2019.6.16-2019.6.21)] 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Modeling the Electrical Production Potential of Non-Planar Photovoltaic Modules
摘要： The collection of long-term health data is accelerating with the advent of portable/wearable medical devices including electrocardiograms (ECGs). This large corpus of data presents great opportunities to improve the quality of cardiac care. However, analyzing the data from these sensors is a challenge; the relevant information from ～120 000 heart beats per patient per day must be condensed into a human-readable form. Our goal is to facilitate the analysis of these unwieldy data sets. We have developed an open source tool for creating easy-to-interpret plots of cardiac information over long periods. We call these plots ECG clocks. The utility of our ECG clock library is demonstrated through multiple examples drawn from a database of 24-h Holter recordings. In these case studies, we focus on the visualization of heart rate and QT dynamics. The ECG clock concept is shown to be relevant for both physicians and researchers, for identifying healthy and abnormal values and patterns in ECG recordings. In this paper, we describe how to use the ECG clock library to analyze 24-h ECG recordings, and how to extend the source code for your own purposes. The tool is applicable to a wide range of cardiac monitoring tasks, such as heart rate variability or ST elevation. This library, which we have made freely available, can help provide new insights into circadian patterns of cardiac function in individuals and groups.
关键词： visualization,heart rate variability,Electrocardiogram,long QT syndrome,open-source software
更新于2025-09-19 17:13:59
-
[IEEE 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Chicago, IL, USA (2019.6.16-2019.6.21)] 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Investigation of materials for hot carrier solar cell absorbers
摘要： The collection of long-term health data is accelerating with the advent of portable/wearable medical devices including electrocardiograms (ECGs). This large corpus of data presents great opportunities to improve the quality of cardiac care. However, analyzing the data from these sensors is a challenge; the relevant information from ～120 000 heart beats per patient per day must be condensed into a human-readable form. Our goal is to facilitate the analysis of these unwieldy data sets. We have developed an open source tool for creating easy-to-interpret plots of cardiac information over long periods. We call these plots ECG clocks. The utility of our ECG clock library is demonstrated through multiple examples drawn from a database of 24-h Holter recordings. In these case studies, we focus on the visualization of heart rate and QT dynamics. The ECG clock concept is shown to be relevant for both physicians and researchers, for identifying healthy and abnormal values and patterns in ECG recordings. In this paper, we describe how to use the ECG clock library to analyze 24-h ECG recordings, and how to extend the source code for your own purposes. The tool is applicable to a wide range of cardiac monitoring tasks, such as heart rate variability or ST elevation. This library, which we have made freely available, can help provide new insights into circadian patterns of cardiac function in individuals and groups.
关键词： long QT syndrome,Electrocardiogram,heart rate variability,open-source software,visualization
更新于2025-09-16 10:30:52
-
[IEEE 2019 3rd School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR) - Innopolis, Russia (2019.9.9-2019.9.11)] 2019 3rd School on Dynamics of Complex Networks and their Application in Intellectual Robotics (DCNAIR) - Synchronization of the process of autonomous regulation of blood circulation with low-frequency components of the laser Doppler flowmetry signal
摘要： The features of the individual dynamics and interaction of the elements of the autonomous regulation of blood circulation and blood flow fluctuations in the microvasculature of the skin were investigated. Phase synchronization of the laser Doppler flowmetry signal with processes of autonomic regulation is revealed. This may indicate the effect of vegetative regulation on the myogenic range of laser Doppler flowmetry.
关键词： Laser Doppler flowmetry,heart rate variability,blood pressure variability,photoplethysmogram,cardiointervalogram,0.1 Hz,statistical significance,phase capture
更新于2025-09-12 10:27:22
-
Comfortable indoor lighting conditions for LEDlights evaluated from psychological and physiological responses
摘要： Comfortable light emitting diode (LED) lighting conditions were examined for psychological and physiological responses. Eight male and eight female subjects participated in a series of experiments. They were exposed to light emitted from LED lights of 3000 K in the ranges of 150–400 lux and 1500–5000 lux; 4000 K in the ranges of 140–640 lux and 2000–5000 lux; and 5000 K in the ranges of 70–270 lux and 2500–7000 lux. Illuminance at a given correlated color temperature was first maintained at the lowest value in the designated range and then increased in a stepwise manner. On reaching the highest value in the range, it was then decreased to the lowest value in a stepwise manner. The subjects were required to indicate their perception of brightness, glare, and comfort at the controlled illuminance levels. Electrocardiogram and electroencephalogram data were monitored continuously throughout exposure. The results showed that the boundary illuminances estimated from psychological and physiological responses did not significantly differ between male and female subjects, but differed markedly from those of fluorescent lights tested in a previous study. The high boundaries of the LED lights were higher than those of the fluorescent lights. The low boundaries of the LED lights at 3000 K and 4000 K were higher than those of the fluorescent lights, but the boundaries at 5000 K were lower than those of the fluorescent lights. These differences may be due to differences in the spectral distribution and luminance for a given illuminance between LED and fluorescent lights.
关键词： Electroencephalogram,Heart rate variability,Light intensity,Correlated color temperature
更新于2025-09-12 10:27:22
-
[IEEE ICASSP 2018 - 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) - Calgary, AB (2018.4.15-2018.4.20)] 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) - Robust Beat-To-Beat Detection Algorithm for Pulse Rate Variability Analysis from Wrist Photoplethysmography Signals
摘要： Heart rate variability (HRV) from electrocardiograms (ECG) is a well-known diagnostic method for the assessment of autonomic nervous function of the heart. A more convenient approach to assess cardiac function is by using Photoplethysmography (PPG) waveforms where pulse rate variability (PRV) replaces HRV. However, the unavailability of robust detection algorithms for PPG signals has prevented the medical market from providing clinical diagnosis using PRV and from measuring biological information for wellness purposes, such as sleep stage, stress state, and fatigue. This paper provides a robust peak and onset detection algorithm for beat-to-beat (B2B) pulse interval analysis using PPG signals. We demonstrate our method through large data collection with the Analog Devices (ADI) multi-sensory watch platform with high coverage, sensitivity, and low Root Mean Square of Successive Difference (RMSSD) as compared to the B2B results from ECG signals.
关键词： Delineation,Pulse Rate Variability (PRV),Heart Rate Variability,Beat-to-Beat,Photoplethysmography (PPG)
更新于2025-09-10 09:29:36
-
[IEEE 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) - Honolulu, HI, USA (2018.7.18-2018.7.21)] 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) - Reliability of Short-Term Heart Rate Variability Indexes Assessed through Photoplethysmography
摘要： The gold standard method to monitor heart rate variability (HRV) comprises measuring the time series of interbeat interval durations from electrocardiographic (ECG) recordings. However, due to the widespread use, simplicity and usability of photoplethysmographic (PPG) techniques, monitoring pulse rate variability (PRV) from pulse wave recordings has become a viable alternative to standard HRV analysis. The present study investigates the accuracy of PRV, measured as a surrogate of HRV, for the quantification of descriptive indexes computed in the time domain (mean, variance), frequency domain (low-to-high frequency power ratio LF/HF, HF band central frequency) and information domain (entropy, conditional entropy). We analyze short time series (300 intervals) of HRV measured from the ECG and of PRV acquired from Finometer device in 76 subjects monitored in the resting supine position (SU) and in the upright position during head-up tilt (HUT). Time, frequency and information domain indexes are computed for each HRV and PRV series and, for each index, the comparison between the two approaches is performed through statistical comparison of the distributions across subjects, robust linear regression, and Bland-Altman plots. Results of the comparison indicate an overall good agreement between PRV-based and HRV-based indexes, with an accuracy that is slightly lower during HUT than during SU, and for the band-power ratio and conditional entropy. These results suggest the feasibility of PRV-based assessment of HRV descriptive indexes, and suggest to further investigate the agreement in conditions of physiological stress.
关键词： information domain,photoplethysmography,time domain,pulse rate variability,frequency domain,heart rate variability
更新于2025-09-10 09:29:36