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https://www.readbyqxmd.com/read/28229353/cardiorespiratory-instability-in-monitored-step-down-unit-patients-using-cluster-analysis-to-identify-patterns-of-change
#1
Eliezer L Bose, Gilles Clermont, Lujie Chen, Artur W Dubrawski, Dianxu Ren, Leslie A Hoffman, Michael R Pinsky, Marilyn Hravnak
Cardiorespiratory instability (CRI) in monitored step-down unit (SDU) patients has a variety of etiologies, and likely manifests in patterns of vital signs (VS) changes. We explored use of clustering techniques to identify patterns in the initial CRI epoch (CRI1; first exceedances of VS beyond stability thresholds after SDU admission) of unstable patients, and inter-cluster differences in admission characteristics and outcomes. Continuous noninvasive monitoring of heart rate (HR), respiratory rate (RR), and pulse oximetry (SpO2) were sampled at 1/20 Hz...
February 22, 2017: Journal of Clinical Monitoring and Computing
https://www.readbyqxmd.com/read/28229352/linshom-thermodynamic-sensor-is-a-reliable-alternative-to-capnography-for-monitoring-respiratory-rate
#2
David Preiss, Benjamin A Drew, James Gosnell, Bhavani S Kodali, James H Philip, Richard D Urman
Monitoring ventilation accurately is a technically challenging, yet indispensable aspect of patient care in the intra- and post-procedural settings. A new prototypical device known as the Linshom Respiratory Monitoring Device (LRMD) has been recently designed to non-invasively, inexpensively, and portably measure respiratory rate. The purpose of this study was to measure the accuracy and variability of LRMD measurements of respiratory rate relative to the measurement of capnography. In this prospective study, participants were enrolled and individually fitted with a face mask monitored by the LRMD and capnography...
February 22, 2017: Journal of Clinical Monitoring and Computing
https://www.readbyqxmd.com/read/28227877/a-wearable-computing-platform-for-developing-cloud-based-machine-learning-models-for-health-monitoring-applications
#3
Shyamal Patel, Ryan S McGinnis, Ikaro Silva, Steve DiCristofaro, Nikhil Mahadevan, Elise Jortberg, Jaime Franco, Albert Martin, Joseph Lust, Milan Raj, Bryan McGrane, Paolo DePetrillo, A J Aranyosi, Melissa Ceruolo, Jesus Pindado, Roozbeh Ghaffari, Shyamal Patel, Ryan S McGinnis, Ikaro Silva, Steve DiCristofaro, Nikhil Mahadevan, Elise Jortberg, Jaime Franco, Albert Martin, Joseph Lust, Milan Raj, Bryan McGrane, Paolo DePetrillo, A J Aranyosi, Melissa Ceruolo, Jesus Pindado, Roozbeh Ghaffari
Wearable sensors have the potential to enable clinical-grade ambulatory health monitoring outside the clinic. Technological advances have enabled development of devices that can measure vital signs with great precision and significant progress has been made towards extracting clinically meaningful information from these devices in research studies. However, translating measurement accuracies achieved in the controlled settings such as the lab and clinic to unconstrained environments such as the home remains a challenge...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227709/bayesian-gaussian-processes-for-identifying-the-deteriorating-patient
#4
Glen Wright Colopy, Marco A F Pimentel, Stephen J Roberts, David A Clifton, Glen Wright Colopy, Marco A F Pimentel, Stephen J Roberts, David A Clifton, Glen Wright Colopy, Marco A F Pimentel, Stephen J Roberts, David A Clifton
The step-down unit (SDU) is a high-acuity hospital environment, to which patients may be sent after discharge from the intensive care unit (ICU). About 1- in-7 patients will deteriorate in the SDU and require emergency readmission to the ICU. Upon readmission, these patients experience significantly higher mortality risks and lengths of stay. Gaussian process regression (GPR) models are proposed as a flexible, principled, probabilistic method to address the clinical need to monitor continuously patient time-series of vital signs acquired in the SDU...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227613/sleep-stage-classification-by-non-contact-vital-signs-indices-using-doppler-radar-sensors
#5
Masayuki Kagawa, Kazuki Suzumura, Takemi Matsui, Masayuki Kagawa, Kazuki Suzumura, Takemi Matsui, Kazuki Suzumura, Takemi Matsui, Masayuki Kagawa
Disturbed sleep has become more common in recent years. To improve the quality of sleep, undergoing sleep observation has gained interest as a means to resolve possible problems. In this paper, we evaluate a non-restrictive and non-contact method for classifying real-time sleep stages and report on its potential applications. The proposed system measures heart rate (HR), heart rate variability (HRV), body movements, and respiratory signals of a sleeping person using two 24-GHz microwave radars placed beneath the mattress...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227597/long-term-vital-sign-measurement-using-a-non-contact-vital-sign-sensor-inside-an-office-cubicle-setting
#6
T Hall, N A Malone, J Tsay, J Lopez, T Nguyen, R E Banister, D Y C Lie, T Hall, N A Malone, J Tsay, J Lopez, T Nguyen, R E Banister, D Y C Lie, T Hall, J Lopez, N A Malone, T Nguyen, J Tsay, D Y C Lie, R E Banister
Heart and respiration rates can be wirelessly measured by extracting the phase shift caused by the periodic displacement of a patient's chest wall. We have developed a phased-array Doppler-based non-contact vital sign (NCVS) sensor capable of long-term vital signs monitoring using an automatic patient tracking and movement detection algorithm. Our NCVS sensor achieves non-contact heart rate monitoring with accuracies of over 90% (i.e, within ±5 Beats-Per-Minute vs. a reference sensor) across a large number of data points collected over various days of the week inside a typical office cubicle setting at a distance of 1...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227476/a-smartphone-based-system-for-assessing-intraocular-pressure
#7
A Mariakakis, E Wang, S Patel, J C Wen, A Mariakakis, E Wang, S Patel, J C Wen, E Wang, A Mariakakis, S Patel, J C Wen
The measurement of intraocular pressure (IOP) is an important vital sign for the eye, particularly for the diagnosis of glaucoma. Procedures for measuring IOP have been used by eye care professionals for over 100 years, but those without access to such professionals often go undiagnosed. We present a smartphone-based system that can be operated by minimally trained users to measure IOP. The system emulates fixed-force tonometry using a low-cost mechanical attachment to the smartphone. Video is captured through the attachment and then processed in real-time to provide an absolute estimate of the patient's intraocular pressure...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227347/an-eemd-pca-approach-to-extract-heart-rate-respiratory-rate-and-respiratory-activity-from-ppg-signal
#8
Mohammod Abdul Motin, Chandan Kumar Karmakar, Marimuthu Palaniswami, Mohammod Abdul Motin, Chandan Kumar Karmakar, Marimuthu Palaniswami, Marimuthu Palaniswami, Mohammod Abdul Motin, Chandan Kumar Karmakar
The pulse oximeter's photoplethysmographic (PPG) signals, measure the local variations of blood volume in tissues, reflecting the peripheral pulse modulated by cardiac activity, respiration and other physiological effects. Therefore, PPG can be used to extract the vital cardiorespiratory signals like heart rate (HR), respiratory rate (RR) and respiratory activity (RA) and this will reduce the number of sensors connected to the patient's body for recording vital signs. In this paper, we propose an algorithm based on ensemble empirical mode decomposition with principal component analysis (EEMD-PCA) as a novel approach to estimate HR, RR and RA simultaneously from PPG signal...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227285/non-contact-real-time-estimation-of-intrapulmonary-pressure-and-tidal-volume-for-chronic-heart-failure-patients
#9
Vinh Phuc Tran, Adel Ali Al-Jumaily, Vinh Phuc Tran, Adel Ali Al-Jumaily, Vinh Phuc Tran, Adel Ali Al-Jumaily
Long-term continuous patient monitoring is required in many health systems for monitoring and analytical diagnosing purposes. It has been recognized that these types of monitoring systems have shortcomings related to patient comfort and/or functionality. Non-contact monitoring systems have been developed to address some of these shortcomings. One of such systems is non-contact physiological vital signs assessments for Chronic Heart Failure (CHF) patients. This paper presents a novel pulmonary ventilation model that defines the relationship between the intrapulmonary pressure and the chest displacement...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227276/vital-sign-monitoring-utilizing-eulerian-video-magnification-and-thermography
#10
Bauyrzhan Aubakir, Birzhan Nurimbetov, Iliyas Tursynbek, Huseyin Atakan Varol, Bauyrzhan Aubakir, Birzhan Nurimbetov, Iliyas Tursynbek, Huseyin Atakan Varol, Bauyrzhan Aubakir, Iliyas Tursynbek, Birzhan Nurimbetov
In this paper we present a proof of concept for non-contact extraction of vital signs using RGB and thermal images obtained from a smart phone. Using our method, heart rate, respiratory rate and forehead temperature can be measured concurrently. Face detection and tracking is leveraged in order to allow natural motion of patients. Heart rate is estimated via processing of visible band RGB video using Eulerian Video Magnification technique. Respiratory rate and the temperature is measured using thermal video...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227215/telehomecare-telecommunication-framework-from-remote-patient-monitoring-to-video-visits-and-robot-telepresence
#11
Pierre Lepage, Dominic Letourneau, Mathieu Hamel, Simon Briere, Helene Corriveau, Michel Tousignant, Francois Michaud, Pierre Lepage, Dominic Letourneau, Mathieu Hamel, Simon Briere, Helene Corriveau, Michel Tousignant, Francois Michaud, Simon Briere, Dominic Letourneau, Helene Corriveau, Michel Tousignant, Francois Michaud, Mathieu Hamel, Pierre Lepage
Over the last few years, the number of remote patient monitoring (RPM) products and of videoconferencing systems has exploded. There is also a significant number of research initiatives addressing the use of service robots for assistance in daily living activities. From a technological standpoint, providing telehomecare services is certainly feasible. However, one technological barrier is to have access to a telecommunication platform that can be adapted to address the broad range of specifications and requirements of clinical and telehealth applications...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227040/representativeness-comparisons-of-nurse-and-computer-charting-of-heart-rate-across-nursing-intensity-protocols
#12
Jorge M Luna, Natalie Yip, Rimma Pivovarov, David K Vawdrey, Jorge M Luna, Natalie Yip, Rimma Pivovarov, David K Vawdrey, David K Vawdrey, Rimma Pivovarov, Jorge M Luna, Natalie Yip
Clinical teams in acute inpatient settings can greatly benefit from automated charting technologies that continuously monitor patient vital status. NewYork-Presbyterian has designed and developed a real-time patient monitoring system that integrates vital signs sensors, networking, and electronic health records, to allow for automatic charting of patient status. We evaluate the representativeness (a combination of agreement, safety and timing) of a core vital sign across nursing intensity care protocols for preliminary feasibility assessment...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227035/visualizing-patient-journals-by-combining-vital-signs-monitoring-and-natural-language-processing
#13
Adnan Vilic, John Asger Petersen, Karsten Hoppe, Helge B D Sorensen, Adnan Vilic, John Asger Petersen, Karsten Hoppe, Helge B D Sorensen, John Asger Petersen, Adnan Vilic, Karsten Hoppe, Helge B D Sorensen
This paper presents a data-driven approach to graphically presenting text-based patient journals while still maintaining all textual information. The system first creates a timeline representation of a patients' physiological condition during an admission, which is assessed by electronically monitoring vital signs and then combining these into Early Warning Scores (EWS). Hereafter, techniques from Natural Language Processing (NLP) are applied on the existing patient journal to extract all entries. Finally, the two methods are combined into an interactive timeline featuring the ability to see drastic changes in the patients' health, and thereby enabling staff to see where in the journal critical events have taken place...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227024/sensor-data-quality-processing-for-vital-signs-with-opportunistic-ambient-sensing
#14
Ibrahim Sadek, Jit Biswas, Zhu Yongwei, Zhang Haihong, Jayachandran Maniyeri, Chen Zhihao, Teo Ju Teng, Ng Soon Huat, Mounir Mokhtari, Ibrahim Sadek, Jit Biswas, Zhu Yongwei, Zhang Haihong, Jayachandran Maniyeri, Chen Zhihao, Teo Ju Teng, Ng Soon Huat, Mounir Mokhtari
Opportunistic ambient sensing involves placement of sensors appropriately so that intermittent contact can be made unobtrusively for gathering physiological signals for vital signs. In this paper, we discuss the results of our quality processing system used to extract heart rate from ballisto-cardiogram signals obtained from a micro-bending fiber optic sensor pressure mat. Visual inspection is used to label data into informative and non-informative classes based on their heart rate information. Five classifiers are employed for the classification process, i...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226991/noninvasive-health-condition-monitoring-device-for-workers-at-high-altitudes-conditions
#15
Pablo Aqueveque, Cristopher Gutierrez, Francisco Saavedra, Esteban J Pino, Pablo Aqueveque, Cristopher Gutierrez, Francisco Saavedra, Esteban J Pino, Cristopher Gutierrez, Francisco Saavedra, Pablo Aqueveque, Esteban J Pino
This work presents the design and implementation of a continuous monitoring device to control the health state of workers, for instance miners, at high altitudes. The extreme ambient conditions are harmful for peoples' health; therefore a continuous control of the workers' vital signs is necessary. The developed system includes physiological variables: electrocardiogram (ECG), respiratory activity and body temperature (BT), and ambient variables: ambient temperature (AT) and relative humidity (RH). The noninvasive sensors are incorporated in a t-shirt to deliver a functional device, and maximum comfort to the users...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226986/feasibility-study-of-a-giant-magneto-resistance-based-respiration-rate-monitor
#16
Vinit Kumar Chugh, Kubera Kalyan, C S Anoop, Vinit Kumar Chugh, Kubera Kalyan, C S Anoop, Kubera Kalyan, C S Anoop
This paper reports a simple and reliable electronic technique for the estimation of respiration rate (RR). Giant Magneto-Resistance (GMR) based sensors are employed to extract a plethysmograph signal from the subject. This signal is filtered and processed further through simple signal processing stages to obtain RR indication. The feasibility of the system has been studied on a prototype built and associated experimentation on 20 volunteers. The developed system provided clean plethysmographic signals, whose relevant features are shown to possess a relation with RR...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226652/early-warnings-of-heart-rate-deterioration
#17
Vania G Almeida, Ian T Nabney, Vania G Almeida, Ian T Nabney, Ian T Nabney, Vania G Almeida
Hospitals can experience difficulty in detecting and responding to early signs of patient deterioration leading to late intensive care referrals, excess mortality and morbidity, and increased hospital costs. Our study aims to explore potential indicators of physiological deterioration by the analysis of vital-signs. The dataset used comprises heart rate (HR) measurements from MIMIC II waveform database, taken from six patients admitted to the Intensive Care Unit (ICU) and diagnosed with severe sepsis. Different indicators were considered: 1) generic early warning indicators used in ecosystems analysis (autocorrelation at-1-lag (ACF1), standard deviation (SD), skewness, kurtosis and heteroskedasticity) and 2) entropy analysis (kernel entropy and multi scale entropy)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226488/synchrosqueezing-an-effective-method-for-analyzing-doppler-radar-physiological-signals
#18
Ehsan Yavari, Ashikur Rahman, Jia Xu, Danilo P Mandic, Olga Boric-Lubecke, Ehsan Yavari, Ashikur Rahman, Jia Xu, Danilo P Mandic, Olga Boric-Lubecke, Jia Xu, Olga Boric-Lubecke, Ehsan Yavari, Danilo P Mandic, Ashikur Rahman
Doppler radar can monitor vital sign wirelessly. Respiratory and heart rate have time-varying behavior. Capturing the rate variability provides crucial physiological information. However, the common time-frequency methods fail to detect key information. We investigate Synchrosqueezing method to extract oscillatory components of the signal with time varying spectrum. Simulation and experimental result shows the potential of the proposed method for analyzing signals with complex time-frequency behavior like physiological signals...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28225313/efficacy-and-safety-of-a-new-topical-testosterone-replacement-gel-therapy-for-the-treatment-of-male-hypogonadism
#19
Glenn Cunningham, Laurence Belkoff, Gerald Brock, Mitchell Efros, Marc Gittelman, Dario Carrara, Anders Neijber, Masakazu Ando, Jules Mitchel
OBJECTIVE: Testosterone replacement therapy is indicated for male hypogonadism. This study aimed to evaluate the efficacy and safety of Testosterone gel 2% (Tgel) over 90-days. METHODS: This phase 3, open-label, non-comparator study was conducted in adult hypogonadal men (two consecutive fasting serum testosterone values <300 ng/dL and >86% subjects with symptoms consistent with testosterone deficiency). Subjects applied Tgel 23 mg/day (single pump-actuation using hands-free cap applicator)...
February 22, 2017: Endocrine Practice
https://www.readbyqxmd.com/read/28224850/vital-signs
#20
(no author information available yet)
A weekly snapshot of the state of health and social care.
February 22, 2017: Nursing Standard
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