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Photoplethysmogram

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https://www.readbyqxmd.com/read/28532415/hemodynamic-changes-caused-by-acupuncture-in-healthy-volunteers-a-prospective-single-arm-exploratory-clinical-study
#1
Tae-Hun Kim, Boncho Ku, Jang-Han Bae, Jae-Young Shin, Min-Ho Jun, Jung Won Kang, Junghwan Kim, Jun-Hwan Lee, Jaeuk U Kim
BACKGROUND: Radial pressure pulse wave (RPPW) examination has been a key diagnostic component of traditional Chinese medicine. The objective of this study was to investigate the changes in RPPW along with various hemodynamic variables after acupuncture stimulation and to examine the validity of pulse diagnosis as a modern diagnostic tool. METHODS: We conducted acupuncture stimulation at both ST36 acupuncture points in 25 healthy volunteers. We simultaneously assessed the RPPW by pulse tonometry; heart rate variability (HRV) by electrocardiogram; photoplethysmogram (PPG) signals, respiration rate, peripheral blood flow velocity and arterial depth by ultrasonography; and cardiac output by impedance cardiography, before, during and after a session of acupuncture stimulation...
May 22, 2017: BMC Complementary and Alternative Medicine
https://www.readbyqxmd.com/read/28489546/a-novel-amars-technique-for-baseline-wander-removal-applied-to-photoplethysmogram
#2
Ammar A K Timimi, M A Mohd Ali, K Chellappan
A new digital filter, AMARS (aligning minima of alternating random signal) has been derived using trigonometry to regulate signal pulsations inline. The pulses are randomly presented in continuous signals comprising frequency band lower than the signal's mean rate. Frequency selective filters are conventionally employed to reject frequencies undesired by specific applications. However, these conventional filters only reduce the effects of the rejected range producing a signal superimposed by some baseline wander (BW)...
June 2017: IEEE Transactions on Biomedical Circuits and Systems
https://www.readbyqxmd.com/read/28463207/a-novel-continuous-blood-pressure-estimation-approach-based-on-data-mining-techniques
#3
Fen Miao, Nan Fu, Yuan-Ting Zhang, Xiao-Rong Ding, Xi Hong, Qingyun He, Ye Li
Continuous blood pressure (BP) estimation using pulse transit time (PTT) is a promising method for unobtrusive BP measurement. However, the accuracy of this approach must be improved for it to be viable for a wide range of applications. This study proposes a novel continuous BP estimation approach that combines data mining techniques with a traditional mechanism-driven model. First, 14 features derived from simultaneous electrocardiogram and photoplethysmogram signals were extracted for beat-to-beat BP estimation...
April 28, 2017: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28436909/pulse-transit-time-measurement-using-seismocardiogram-photoplethysmogram-and-acoustic-recordings-evaluation-and-comparison
#4
Chenxi Yang, Negar Tavassolian
This work proposes a novel method of pulse transit time measurement. The proximal arterial location data is collected from seismocardiogram (SCG) recordings by placing a MEMS accelerometer on the chest wall. The distal arterial location data is recorded using an acoustic sensor placed inside the ear. The performance of distal location recordings is evaluated by comparing SCG-acoustic and SCG-Photoplethysmogram (PPG) measurements. PPG and acoustic performances under motion noise are also compared. Experimental results suggest comparable performances for the acoustic-based and PPG-based devices...
April 24, 2017: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28420086/blockwise-ppg-enhancement-based-on-time-variant-zero-phase-harmonic-notch-filtering
#5
Chanki Park, Hyunsoon Shin, Boreom Lee
So far, many approaches have been developed for motion artifact (MA) reduction from photoplethysmogram (PPG). Specifically, single-input MA reduction methods are useful to apply wearable and mobile healthcare systems because of their low hardware costs and simplicity. However, most of them are insufficiently developed to be used in real-world situations, and they suffer from a phase distortion problem. In this study, we propose a novel single-input MA reduction algorithm based on time-variant forward-backward harmonic notch filtering...
April 14, 2017: Sensors
https://www.readbyqxmd.com/read/28394455/flexible-blade-coated-multicolor-polymer-light-emitting-diodes-for-optoelectronic-sensors
#6
Donggeon Han, Yasser Khan, Jonathan Ting, Simon M King, Nir Yaacobi-Gross, Martin J Humphries, Christopher J Newsome, Ana C Arias
A method to print two materials of different functionality during the same printing step is presented. In printed electronics, devices are built layer by layer and conventionally only one type of material is deposited in one pass. Here, the challenges involving printing of two emissive materials to form polymer light-emitting diodes (PLEDs) that emit light of different wavelengths without any significant changes in the device characteristics are described. The surface-energy-patterning technique is utilized to print materials in regions of interest...
April 10, 2017: Advanced Materials
https://www.readbyqxmd.com/read/28367965/identification-of-atrial-fibrillation-by-quantitative-analyses-of-fingertip-photoplethysmogram
#7
Sung-Chun Tang, Pei-Wen Huang, Chi-Sheng Hung, Shih-Ming Shan, Yen-Hung Lin, Jiann-Shing Shieh, Dar-Ming Lai, An-Yeu Wu, Jiann-Shing Jeng
Atrial fibrillation (AF) detection is crucial for stroke prevention. We investigated the potential of quantitative analyses of photoplethysmogram (PPG) waveforms to identify AF. Continuous electrocardiogram (EKG) and fingertip PPG were recorded simultaneously in acute stroke patients (n = 666) admitted to an intensive care unit. Each EKG was visually labeled as AF (n = 150, 22.5%) or non-AF. Linear and nonlinear features from the pulse interval (PIN) and peak amplitude (AMP) of PPG waveforms were extracted from the first 1, 2, and 10 min of data...
April 3, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28333706/video-based-physiologic-monitoring-during-an-acute-hypoxic-challenge-heart-rate-respiratory-rate-and-oxygen-saturation
#8
Paul S Addison, Dominique Jacquel, David M H Foo, André Antunes, Ulf R Borg
BACKGROUND: The physiologic information contained in the video photoplethysmogram is well documented. However, extracting this information during challenging conditions requires new analysis techniques to capture and process the video image streams to extract clinically useful physiologic parameters. We hypothesized that heart rate, respiratory rate, and oxygen saturation trending can be evaluated accurately from video information during acute hypoxia. METHOD: Video footage was acquired from multiple desaturation episodes during a porcine model of acute hypoxia using a standard visible light camera...
March 22, 2017: Anesthesia and Analgesia
https://www.readbyqxmd.com/read/28325023/an-affordable-cuff-less-blood-pressure-estimation-solution
#9
Monika Jain, Niranjan Kumar, Sujay Deb
This paper presents a cuff-less hypertension pre-screening device that non-invasively monitors the Blood Pressure (BP) and Heart Rate (HR) continuously. The proposed device simultaneously records two clinically significant and highly correlated biomedical signals, viz., Electrocardiogram (ECG) and Photoplethysmogram (PPG). The device provides a common data acquisition platform that can interface with PC/laptop, Smart phone/tablet and Raspberry-pi etc. The hardware stores and processes the recorded ECG and PPG in order to extract the real-time BP and HR using kernel regression approach...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28324990/indirect-measurement-of-the-carotid-arterial-pressure-from-vibrocardiographic-signal-calibration-of-the-waveform-and-comparison-with-photoplethysmographic-signal
#10
L Casacanditella, G Cosoli, S Casaccia, E P Tomasini, L Scalise
The detection of arterial Blood Pressure waveform provides important information about the subject health status. Laser Doppler Vibrometry (LDV) is a non-contact technique with high sensitivity able to detect mechanical movements of the arterial wall; several previous studies have shown that LDV is able to characterize cardiac activity. Photoplethysmogram (PPG) quantifies the digital volume artery pulse, which has been demonstrated to be closely related to the pressure signal measured by an arterial tonometer...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28324936/a-preliminary-study-on-multi-wavelength-ppg-based-pulse-transit-time-detection-for-cuffless-blood-pressure-measurement
#11
Jing Liu, Yuan-Ting Zhang, Xiao-Rong Ding, Wen-Xuan Dai, Ni Zhao
Pulse transit time (PTT) has been widely studied as an index of blood pressure (BP) changes. In recent years, some prototypes of PTT-based wearable BP measurement devices have been developed, which can relieve users from the discomfort caused by the inflating cuff used in auscultatory and oscillometric BP measurement techniques. However, in the common practice for PTT detection, multi-site sensor implementation on human body is required, making it difficult for the integration of wearable devices. Since multi-wavelength (MW) photoplethysmogram (PPG) signals carry blood pulsation information of different blood vessels embedded in different skin depths, the time difference between different wavelength PPG signals collected at the same body site can be treated as a special PTT on a short length of blood vessels beneath the skin...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28296645/extraction-of-respiratory-signals-from-the-electrocardiogram-and-photoplethysmogram-technical-and-physiological-determinants
#12
Peter H Charlton, Timothy Bonnici, Lionel Tarassenko, Jordi Alastruey, David A Clifton, Richard Beale, Peter J Watkinson
OBJECTIVE: Breathing rate (BR) can be estimated by extracting respiratory signals from the electrocardiogram (ECG) or photoplethysmogram (PPG). The extracted respiratory signals may be influenced by several technical and physiological factors. In this study, our aim was to determine how technical and physiological factors influence the quality of respiratory signals. APPROACH: Using a variety of techniques 15 respiratory signals were extracted from the ECG, and 11 from PPG signals collected from 57 healthy subjects...
May 2017: Physiological Measurement
https://www.readbyqxmd.com/read/28269564/a-wearable-device-for-emotional-recognition-using-facial-expression-and-physiological-response
#13
Jangho Kwon, Da-Hye Kim, Wanjoo Park, Laehyun Kim
This paper introduces a glasses-typed wearable system to detect user's emotions using facial expression and physiological responses. The system is designed to acquire facial expression through a built-in camera and physiological responses such as photoplethysmogram (PPG) and electrodermal activity (EDA) in unobtrusive way. We used video clips for induced emotions to test the system suitability in the experiment. The results showed a few meaningful properties that associate emotions with facial expressions and physiological responses captured by the developed wearable device...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269483/tracking-driver-s-heart-rate-by-continuous-wave-doppler-radar
#14
Kwang Jin Lee, Chanki Park, Boreom Lee
Developing driving safety system with medical assistance devices for preventing accidents has become a major social issue in recent year. These devices have been developed using electrocardiogram (ECG) and photoplethysmogram (PPG) for measuring the heart rate (HR). However, driver should directly contact with the sensor for monitoring the HR. Recently, non-contact system based on continuous-wave Doppler radar has widely studied for monitoring HR. The periodogram by Fast Fourier Transform (FFT) was used for estimating HR...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269385/a-wearable-bluetooth-le-sensor-for-patient-monitoring-during-mri-scans
#15
Christian Vogt, Jonas Reber, Daniel Waltisberg, Lars Buthe, Josip Marjanovic, Niko Munzenrieder, Klaas P Pruessmann, Gerhard Troster
This paper presents a working prototype of a wearable patient monitoring device capable of recording the heart rate, blood oxygen saturation, surface temperature and humidity during an magnetic resonance imaging (MRI) experiment. The measured values are transmitted via Bluetooth low energy (LE) and displayed in real time on a smartphone on the outside of the MRI room. During 7 MRI image acquisitions of at least 1 min and a total duration of 25 min no Bluetooth data packets were lost. The raw measurements of the light intensity for the photoplethysmogram based heart rate measurement shows an increased noise floor by 50LSB (least significant bit) during the MRI operation, whereas the temperature and humidity readings are unaffected...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269310/driver-drowsiness-detection-using-the-in-ear-eeg
#16
Taeho Hwang, Miyoung Kim, Seunghyeok Hong, Kwang Suk Park
Driver drowsiness monitoring is one of the most demanded technologies for active prevention of severe road accidents. Electroencephalogram (EEG) and several peripheral signals have been suggested for the drowsiness monitoring. However, each type of signal has partial limitations in terms of either convenience or accuracy. Recent emerged concept of in-ear EEG raises expectations due to reduced obtrusiveness. It is yet unclear whether the in-ear EEG is effective enough for drowsiness detection in comparison with on-scalp EEG or peripheral signals...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269218/a-pulse-transit-time-based-fusion-method-for-the-noninvasive-and-continuous-monitoring-of-respiratory-rate
#17
Xiao-Rong Ding, Yuan-Ting Zhang, Hon Ki Tsang, Walter Karlen
The purpose of this study was to investigate whether pulse transit time (PTT) can be used for continuous monitoring of respiratory rate (RR). We derived PTT from the electrocardiogram and photoplethysmogram obtained from 42 recordings of CapnoBase, a publicly available benchmark data set for validating respiratory related measurements. The number of breaths in a minute (RR#) was estimated from the heart rate interval (HRI), pulse rate interval (PRI), and from PTT. In addition, to improve the estimation reliability, we investigated a fusion of the three HRI, PRI and PTT derived estimations...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269032/monitoring-and-detecting-atrial-fibrillation-using-wearable-technology
#18
Shamim Nemati, Mohammad M Ghassemi, Vaidehi Ambai, Nino Isakadze, Oleksiy Levantsevych, Amit Shah, Gari D Clifford
Atrial fibrillation (AFib) is diagnosed by analysis of the morphological and rhythmic properties of the electrocardiogram. It was recently shown that accurate detection of AFib is possible using beat-to-beat interval variations. This raises the question of whether AFib detection can be performed using a pulsatile waveform such as the Photoplethysmogram (PPG). The recent explosion in use of recreational and professional ambulatory wrist-based pulse monitoring devices means that an accurate pulse-based AFib screening algorithm would enable large scale screening for silent or undiagnosed AFib, a significant risk factor for multiple diseases...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268837/a-novel-algorithm-for-reducing-false-arrhythmia-alarms-in-intensive-care-units
#19
Chandan Srivastava, Sonal Sharma, Ali Jalali
Alarm fatigue in intensive care units (ICU) is one of the top healthcare issues in the US. False alarms in ICU will decrease the quality of care and staff response time over the alarms. Normally, false alarm will cause desensitization of the clinical staff which leads to warnings and misleading, if the triggered alarm is true. In this study, we have proposed a multi-model ensemble approach to reduce the false alarm rate in monitoring systems. We have used 750 patient records from PhysioNet database. At First arrhythmia based features from electrocardiogram (ECG), arterial blood pressure (ABP) and photoplethysmogram (PPG) features were extracted from the records...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268434/an-unsupervised-learning-for-robust-cardiac-feature-derivation-from-ppg-signals
#20
Soma Bandyopadhyay, Arijit Ukil, Chetanya Puri, Rituraj Singh, Arpan Pal, K M Mandana, C A Murthy
We propose here derivation algorithms for physiological parameters like beat start point, systolic peak, pulse duration, peak-to-peak distance related to heart rate, dicrotic minima, diastolic peak from Photoplethysmogram (PPG) signals robustly. Our methods are based on unsupervised learning mainly following morphology as well as discrete nature of the signal. Statistical learning has been used as a special aid to infer most probable feature values mainly to cope up with presence of noise, which is assumed to be insignificant compared to signal values at each investigation window...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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