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Qiang Zhang, Xianxiang Chen, Zhen Fang, Qingyuan Zhan, Ting Yang, Shanhong Xia
To lessen the rate of false critical arrhythmia alarms, we used robust heart rate estimation and cost-sensitive support vector machines. The PhysioNet MIMIC II database and the 2015 PhysioNet/CinC Challenge public database were used as the training dataset; the 2015 Challenge hidden dataset was for testing. Each record had an alarm labeled with asystole, extreme bradycardia, extreme tachycardia, ventricular tachycardia or ventricular flutter/fibrillation. Before alarm onsets, 300 s multimodal data was provided, including electrocardiogram, arterial blood pressure and/or photoplethysmogram...
January 18, 2017: Physiological Measurement
Mengyan Chen, Aiqing Chen, Xiaoshui Si, Mingxia Ji, Dingchang Zheng
This study aimed to quantify the different effect of external cuff pressure on arterial volume distensibility between peripheral arteries with different compliance. 30 healthy subjects were studied with the arm at two positions (0° and 45° from the horizontal level) to introduce different compliance of arteries. The electrocardiogram and finger and ear photoplethysmograms were recorded simultaneously under five external cuff pressures (0, 10, 20, 30 and 40 mmHg) on the whole arm to obtain arterial volume distensibility...
January 17, 2017: Scientific Reports
Andrius Sološenko, Andrius Petrėnas, Vaidotas Marozas, Leif Sörnmo
A phenomenological model for simulating the photoplethysmogram (PPG) during atrial fibrillation (AF) is proposed. The simulated PPG is solely based on RR interval information, and, therefore, any annotated ECG database can be used to model sinus rhythm, AF, or rhythms with premature beats. A PPG pulse is modeled by a linear combination of a log-normal and two Gaussian waveforms. The model PPG is obtained by placing individual pulses according to the RR intervals so that a connected signal is created. The model is evaluated on synchronously recorded ECG and PPG signals from the MIMIC and the University of Queensland Vital Signs Dataset databases...
December 28, 2016: Computers in Biology and Medicine
Mikko Peltokangas, Antti Vehkaoja, Matti Huotari, Jarmo Verho, Ville M Mattila, Juha Röning, Pekka Romsi, Jukka Lekkala, Niku Oksala
: In this study, we propose and analyze a noninvasive method for detecting the atherosclerotic changes of vasculature based on the analysis of photoplethysmographic (PPG) signals. METHODS: the proposed method is called finger-toe (FT)-plot analysis that utilizes both finger and toe PPG signals. For the features extracted from the FT-plots, we implemented different linear discriminant analysis based classifiers and analyzed seven promising ones in detail. We used the signals recorded from altogether 75 test subjects (categorized as 27 atherosclerotic patients and 48 control subjects based on ankle brachial pressure index, symptoms and disease history) in the training, and testing of the method...
January 5, 2017: Physiological Measurement
Nina Sviridova, Kazuyuki Nakamura
Noise contamination in experimental data with underlying chaotic dynamics is one of the significant problems limiting the application of many nonlinear time series analysis methods. Although numerous studies have been devoted to the investigation of different aspects of noise-nonlinear dynamics interactions, the effects produced by noise on chaotic dynamics are not fully understood. This study sought to analyze the local effects produced by noise on chaotic dynamics with a smooth attractor. Local Wayland test translation errors were calculated for noise-induced Lorenz and Rössler chaotic models, and for experimental green light photoplethysmogram data...
December 2016: Chaos
Masahiro Shiraishi, Tomoaki Murakami, Tomohiro Nawa, Kouji Higashi, Hiromichi Nakajima, Hiroyuki Aotsuka
INTRODUCTION: It is reported that pressure wave reflection is enhanced by external compression of the femoral artery. Therefore, it is possible that cardiac catheterization itself can influence the aortic pressure waveform. AIM: The purpose of this study is to clarify the influence of sheath placement in a femoral artery on the pressure waveform. METHODS: This study enrolled 21 pediatric patients (5.1±4.0years) who underwent cardiac catheterization...
December 22, 2016: International Journal of Cardiology
Hiroshi Miyashita
No abstract text is available yet for this article.
December 22, 2016: Hypertension Research: Official Journal of the Japanese Society of Hypertension
Abhishek Srivastava, Nithin Sankar, Baibhab Chatterjee, Devarshi Das, Meraj Ahmad, Rakesh Kukkundoor, Vivek Saraf, Ananthpadmanabhan Jayachandran, Dinesh Sharma, Maryam Baghini
This paper presents a low power integrated wireless telemetry system (Bio-WiTel) for healthcare applications in 401- 406 MHz frequency band of Medical Device RadioCommunication (MedRadio) spectrum. In this work, necessary design considerations for telemetry system for short range (upto 3 m) communication of bio-signals are presented. These considerations greatly help in taking important design decisions, which eventually lead to a simple, low power, robust and reliable wireless system implementation. Transmitter (TX) and receiver (RX) of Bio-WiTel system have been fabricated in 180 nm mixed mode CMOS technology...
December 14, 2016: IEEE Journal of Biomedical and Health Informatics
Marco A F Pimentel, Alistair E W Johnson, Peter H Charlton, Drew Birrenkott, Peter J Watkinson, Lionel Tarassenko, David A Clifton
OBJECTIVE: Current methods for estimating respiratory rate (RR) from the photoplethysmogram (PPG) typically fail to distinguish between periods of high- and low-quality input data, and fail to perform well on independent "validation" datasets. The lack of robustness of existing methods directly results in a lack of penetration of such systems into clinical practice. The present work proposes an alternative method to improve the robustness of the estimation of RR from the PPG. METHODS: The proposed algorithm is based on the use of multiple autoregressive models of different orders for determining the dominant respiratory frequency in the three respiratory-induced variations (frequency, amplitude and intensity) derived from the PPG...
November 18, 2016: IEEE Transactions on Bio-medical Engineering
Duy Dao, S M A Salehizadeh, Yeon Noj, Jo Woon Chong, Chae Cho, Dave Mcmanus, Chad E Darling, Yitzhak Mendelson, Ki H Chon
Motion and noise artifacts (MNAs) impose limits on the usability of the photoplethysmogram (PPG), particularly in the context of ambulatory monitoring. MNAs can distort PPG, causing erroneous estimation of physiological parameters such as heart rate (HR) and arterial oxygen saturation (SpO2). In this study we present a novel approach, "TifMA," based on using the Time-frequency spectrum of PPG to first detect the MNA-corrupted data and next discard the non-usable part of the corrupted data. The term "non-usable" refers to segments of PPG data from which the HR signal cannot be recovered accurately...
October 21, 2016: IEEE Journal of Biomedical and Health Informatics
Eriko Seo, Toshiyuki Sazi, Morio Togawa, Osamu Nagata, Masataka Murakami, Shigeaki Kojima, Yoshiteru Seo
Infrared photoplethysmogram (IR-PPG) and magnetic resonance image (MRI) of the Mytilus galloprovincialis heart were obtained simultaneously. Heart rate was varied by changing temperature, aerial exposure and hypoxia. Higher heart rates (35-20 beat min(-1)) were usually observed at 20°C under the aerobic condition, and typical IR-PPG represented a single peak (peak v). The upward and downward slopes of the peak v corresponded to the filling and contracting of the ventricle, respectively. A double-peak IR-PPG was observed in a wide range of heart rates (5 to 35 beats min(-1)) under various conditions...
November 15, 2016: Biology Open
Jae-Young Shin, Jun-Hwan Lee, Boncho Ku, Jang Han Bae, Min-Ho Un, Jaeuk U Kim, Tae-Hun Kim
INTRODUCTION: This study aims to investigate the effects of acupuncture stimulation on the radial artery's pressure pulse wave, along with various hemodynamic parameters, and to explore the possible underlying mechanism of pulse diagnosis in healthy participants in their twenties. METHODS AND ANALYSIS: This study is a prospective, single-arm, exploratory clinical study. A total of 25 healthy participants, without regard to gender, in their twenties will be recruited by physicians...
September 2016: Journal of Pharmacopuncture
Noriko Inoue, Hideshi Kawakami, Hideya Yamamoto, Chikako Ito, Saeko Fujiwara, Hideo Sasaki, Yasuki Kihara
The second derivative of the digital photoplethysmogram (SDPTG) is an indicator of arterial stiffness. The ratio of the height of the d wave to the a wave of the SDPTG (d/a) is associated with functional peripheral vascular tension and represents aortic-blood pressure (BP) augmented by reflection waves from the periphery. This longitudinal study aimed to investigate the relationship between SDPTG and cardiovascular mortality in middle-aged and elderly Japanese women. From 1998 to 2008, we recruited 4373 women (50-79 years old at baseline) who underwent medical check-ups and SDPTG measurement...
September 29, 2016: Hypertension Research: Official Journal of the Japanese Society of Hypertension
Xiaoman Xing, Mingshan Sun
We introduce and validate a beat-to-beat optical blood pressure (BP) estimation paradigm using only photoplethysmogram (PPG) signal from finger tips. The scheme determines subject-specific contribution to PPG signal and removes most of its influence by proper normalization. Key features such as amplitudes and phases of cardiac components were extracted by a fast Fourier transform and were used to train an artificial neural network, which was then used to estimate BP from PPG. Validation was done on 69 patients from the MIMIC II database plus 23 volunteers...
August 1, 2016: Biomedical Optics Express
Ainara Garde, Guohai Zhou, Shahreen Raihana, Dustin Dunsmuir, Walter Karlen, Parastoo Dekhordi, Tanvir Huda, Shams El Arifeen, Charles Larson, Niranjan Kissoon, Guy A Dumont, J Mark Ansermino
OBJECTIVE: Hypoxaemia is a strong predictor of mortality in children. Early detection of deteriorating condition is vital to timely intervention. We hypothesise that measures of pulse oximetry dynamics may identify children requiring hospitalisation. Our aim was to develop a predictive tool using only objective data derived from pulse oximetry and observed respiratory rate to identify children at increased risk of hospital admission. SETTING: Tertiary-level hospital emergency department in Bangladesh...
2016: BMJ Open
Wei Zong, Larry Nielsen, Brian Gross, Juan Brea, Joseph Frassica
There has been a high rate of false alarms for the critical electrocardiogram (ECG) arrhythmia events in intensive care units (ICUs), from which the 'crying-wolf' syndrome may be resulted and patient safety may be jeopardized. This article presents an algorithm to reduce false critical arrhythmia alarms using arterial blood pressure (ABP) and/or photoplethysmogram (PPG) waveform features. We established long duration reference alarm datasets which consist of 573 ICU waveform-alarm records (283 for development set and 290 for test set) with total length of 551 patent days...
August 2016: Physiological Measurement
Rui Rodrigues, Paula Couto
Our approach to detecting false arrhythmia alarms in the intensive care unit breaks down into several tasks. It involves beat detection on different signals: electrocardiogram, photoplethysmogram and arterial blood pressure. The quality of each channel has to be estimated in order to evaluate the reliability of obtained beat detections. The information about the heart rate from the different channels must be integrated in order to find a final conclusion. Some alarm types require particular detectors as is the case of ventricular fibrillation...
August 2016: Physiological Measurement
Chengyu Liu, Lina Zhao, Hong Tang, Qiao Li, Shoushui Wei, Jianqing Li
False alarm (FA) rates as high as 86% have been reported in intensive care unit monitors. High FA rates decrease quality of care by slowing staff response times while increasing patient burdens and stresses. In this study, we proposed a rule-based and multi-channel information fusion method for accurately classifying the true or false alarms for five life-threatening arrhythmias: asystole (ASY), extreme bradycardia (EBR), extreme tachycardia (ETC), ventricular tachycardia (VTA) and ventricular flutter/fibrillation (VFB)...
August 2016: Physiological Measurement
V Kalidas, L S Tamil
In this paper, as a contribution to the Physionet/Computing in Cardiology 2015 Challenge, we present individual algorithms to accurately classify five different life threatening arrhythmias with the goal of suppressing false alarm generation in intensive care units. Information obtained by analysing electrocardiogram, photoplethysmogram and arterial blood pressure signals was utilized to develop the classification models. Prior to classification, the signals were subject to a signal pre-processing stage for quality analysis...
August 2016: Physiological Measurement
Sibylle Fallet, Sasan Yazdani, Jean-Marc Vesin
The purpose of this study was to develop algorithms to lower the incidence of false arrhythmia alarms in the ICU using information from independent sources, namely electrocardiogram (ECG), arterial blood pressure (ABP) and photoplethysmogram (PPG). Our approach relies on robust adaptive signal processing techniques in order to extract accurate heart rate (HR) values from the different waveforms. Based on the quality of available signals, heart rate was either estimated from pulsatile waveforms using an adaptive frequency tracking algorithm or computed from ECGs using an adaptive mathematical morphology approach...
August 2016: Physiological Measurement
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