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https://www.readbyqxmd.com/read/28231557/comparison-of-body-s-center-of-mass-motion-relative-to-center-of-pressure-between-treadmill-and-over-ground-walking
#1
Hsuan-Lun Lu, Tung-Wu Lu, Hsiu-Chen Lin, Wing P Chan
Treadmills have been used in rehabilitation settings to provide convenient protocols and continuous monitoring of movement over multiple cycles at well-controlled speeds for gait and balance training. However, the potential differences in the movement control may affect the translation of the training outcomes to real life over-ground walking (OW). The similarities and differences in the balance control between treadmill walking (TW) and OW have largely been unexplored. The current study bridged the gap by comparing the motions of the body's center of mass (COM) relative to the center of pressure (COP) between TW and OW, in terms of the COM-COP inclination angle (IA) and its rate of change (RCIA)...
February 9, 2017: Gait & Posture
https://www.readbyqxmd.com/read/28230329/integrating-trans-abdominal-ultrasonography-with-fecal-steroid-metabolite-monitoring-to-accurately-diagnose-pregnancy-and-predict-the-timing-of-parturition-in-the-red-panda-ailurus-fulgens-styani
#2
Erin Curry, Lissa J Browning, Paul Reinhart, Terri L Roth
Red pandas (Ailurus fulgens styani) exhibit a variable gestation length and may experience a pseudopregnancy indistinguishable from true pregnancy; therefore, it is not possible to deduce an individual's true pregnancy status and parturition date based on breeding dates or fecal progesterone excretion patterns alone. The goal of this study was to evaluate the use of transabdominal ultrasonography for pregnancy diagnosis in red pandas. Two to three females were monitored over 4 consecutive years, generating a total of seven profiles (four pregnancies, two pseudopregnancies, and one lost pregnancy)...
February 23, 2017: Zoo Biology
https://www.readbyqxmd.com/read/28229916/ongoing-nursing-training-influence-on-the-completion-of-electronic-pressure-ulcer-records
#3
María López, José María Jiménez, Isabel Peña, María José Cao, María Simarro, María José Castro
INTRODUCTION: Pressure ulcer (PU) care in nursing at the Hospital Clínico Universitario de Valladolid (HCUV) in Spain includes basic care and its registration through the electronic GACELA Care tool. To assess and evaluate the nursing intervention in PU evolution, a training programme was carried out to unify criteria on PU assessment, treatment, evaluation and monitoring. OBJECTIVE: To assess the influence of training on the completion of PU records in the GACELA Care application, and identify the level of satisfaction of the nurses after its use...
February 14, 2017: Nurse Education Today
https://www.readbyqxmd.com/read/28229646/special-nutrition-intervention-is-required-for-muscle-protective-efficacy-of-physical-exercise-in-elderly-people-at-highest-risk-of-sarcopenia
#4
A Molnár, I Jónásné Sztruhár, Á A Csontos, Cs Ferencz, Sz Várbíró, B Székács
Progressive loss of muscle mass and strength is a physiological consequence of aging, and without interventions, it usually deteriorates into sarcopenia. In this study, the hypothesis that combined special nutritional-physiotherapeutical intervention to prevent or reverse this biological deterioration in elderly people was tested. The effects of the regular resistance muscle training (PT, n = 17) alone and the combined exercise + special nutrition therapy containing whey protein and vitamin D (PT + NT, n = 17) were monitored for 3 months in 34 elderly patients (12 men and 22 women; mean age: 66...
September 2016: Physiol Int
https://www.readbyqxmd.com/read/28229568/yo-yo-ir1-vs-incremental-continuous-running-test-for-prediction-of-3000-m-performance
#5
Boris Schmitz, Andreas Klose, Katrin Schelleckes, Charlotte M Jekat, Michael Krüger, Stefan-Martin Brand
BACKGROUND: This study aimed to compare physiological responses during the Yo-Yo intermittent recovery level 1 (Yo-Yo IR1) test and an incremental continuous running field test (ICRT) and to analyze their predictive value on 3000 m running performance. METHODS: Forty moderately trained individuals (18 females) performed the ICRT and Yo-Yo IR1 test to exhaustion. The ICRT was performed as graded running test with an increase of 2.0 km·h-1 after each 3 min interval for lactate diagnostic...
February 22, 2017: Journal of Sports Medicine and Physical Fitness
https://www.readbyqxmd.com/read/28229020/an-open-source-device-for-operant-licking-in-rats
#6
Matthew Longley, Ethan L Willis, Cindy X Tay, Hao Chen
We created an easy-to-use device for operant licking experiments and another device that records environmental variables. Both devices use the Raspberry Pi computer to obtain data from multiple input devices (e.g., radio frequency identification tag readers, touch and motion sensors, environmental sensors) and activate output devices (e.g., LED lights, syringe pumps) as needed. Data gathered from these devices are stored locally on the computer but can be automatically transferred to a remote server via a wireless network...
2017: PeerJ
https://www.readbyqxmd.com/read/28228938/physical-activity-levels-in-locally-advanced-rectal-cancer-patients-following-neoadjuvant-chemoradiotherapy-and-an-exercise-training-programme-before-surgery-a-pilot-study
#7
Lisa Loughney, Malcolm A West, Borislav D Dimitrov, Graham J Kemp, Michael Pw Grocott, Sandy Jack
BACKGROUND: The aim of this pilot study was to measure changes in physical activity level (PAL) variables, as well as sleep duration and efficiency in people with locally advanced rectal cancer (1) before and after neoadjuvant chemoradiotherapy (CRT) and (2) after participating in a pre-operative 6-week in-hospital exercise training programme, following neoadjuvant CRT prior to major surgery, compared to a usual care control group. METHODS: We prospectively studied 39 consecutive participants (27 males)...
2017: Perioperative Medicine
https://www.readbyqxmd.com/read/28228369/feasibility-of-implementing-a-patient-centered-postoperative-wound-monitoring-program-using-smartphone-images-a-pilot-protocol
#8
Sara Fernandes-Taylor, Rebecca L Gunter, Kyla M Bennett, Lola Awoyinka, Shahrose Rahman, Caprice C Greenberg, K Craig Kent
BACKGROUND: Surgical site infections (SSI) represent a significant public health problem as the most common nosocomial infection and a leading cause of unplanned hospital readmissions among surgical patients. Many develop following hospital discharge and often go unrecognized by patients. Telemedicine offers the opportunity to leverage the mobile technology to remotely monitor wound recovery in the transitional period between hospital discharge and routine clinic follow-up. However, many existing telemedicine platforms are episodic, replacing routine follow-up, rather than equipped for continued monitoring; they include only low-risk patient populations and those who already have access to and comfort with the necessary technology; and transmit no visual information...
February 22, 2017: JMIR Research Protocols
https://www.readbyqxmd.com/read/28227974/heart-rate-variability-as-a-biomarker-for-sedation-depth-estimation-in-icu-patients
#9
Sunil B Nagaraj, Sowmya M Ramaswamy, Siddharth Biswal, Emily J Boyle, David W Zhou, Lauren M Mcclain, Eric S Rosenthal, Patrick L Purdon, M Brandon Westover, Sunil B Nagaraj, Sowmya M Ramaswamy, Siddharth Biswal, Emily J Boyle, David W Zhou, Lauren M Mcclain, Eric S Rosenthal, Patrick L Purdon, M Brandon Westover, M Brandon Westover, Sunil B Nagaraj, Siddharth Biswal, Sowmya M Ramaswamy, Lauren M Mcclain, David W Zhou, Emily J Boyle, Patrick L Purdon, Eric S Rosenthal
An automated patient-specific system to classify the level of sedation in ICU patients using heart rate variability signal is presented in this paper. ECG from 70 mechanically ventilated adult patients with administered sedatives in an ICU setting were used to develop a support vector machine based system for sedation depth monitoring using several heart rate variability measures. A leave-one-subject-out cross validation was used for classifier training and performance evaluations. The proposed patient-specific system provided a sensitivity, specificity and an AUC of 64%, 84...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227877/a-wearable-computing-platform-for-developing-cloud-based-machine-learning-models-for-health-monitoring-applications
#10
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/28227483/a-real-time-remote-video-streaming-platform-for-ultrasound-imaging
#11
Mehdi Ahmadi, Warren J Gross, Samuel Kadoury, Mehdi Ahmadi, Warren J Gross, Samuel Kadoury, Samuel Kadoury, Warren J Gross, Mehdi Ahmadi
Ultrasound is a viable imaging technology in remote and resources-limited areas. Ultrasonography is a user-dependent skill which depends on a high degree of training and hands-on experience. However, there is a limited number of skillful sonographers located in remote areas. In this work, we aim to develop a real-time video streaming platform which allows specialist physicians to remotely monitor ultrasound exams. To this end, an ultrasound stream is captured and transmitted through a wireless network into remote computers, smart-phones and tablets...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227273/body-position-classification-for-cardiorespiratory-measurement
#12
Marcel Mlynczak, Martin Berka, Wiktor Niewiadomski, Gerard Cybulski, Marcel Mlynczak, Martin Berka, Wiktor Niewiadomski, Gerard Cybulski, Marcel Mlynczak, Martin Berka, Gerard Cybulski, Wiktor Niewiadomski
Heart activity, or at least heart rate variability, is associated with body position. Our previous studies have confirmed that impedance pneumography may be used to record respiratory function, but the calibration coefficients for this method depend on position. Data were collected from 24 students (12 male, 12 female), who alternated positions between lying (on front, back, and right side), sitting and standing. Signals from an attached iPhone's internal sensors (accelerometer, gyroscope, magnetometer) were recorded and attitude relative to gravity was calculated...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227175/an-asynchronous-multi-view-learning-approach-for-activity-recognition-using-wearables
#13
Yuchao Ma, Hassan Ghasemzadeh, Yuchao Ma, Hassan Ghasemzadeh, Hassan Ghasemzadeh
In this paper, we introduce an Asynchronous Multiview Learning (AML) approach to allow accurate transfer of activity classification models across asynchronous sensor views. Our study is motivated by the highly dynamic nature of health monitoring using wearable sensors. Such dynamics include changes in sensing platform (e.g., sensor upgrade) and platform settings (e.g., sampling frequency, on-body sensor location), which result in failure of the machine learning algorithms if they remain untrained in the new setting...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227092/eeg-based-single-trial-detection-of-errors-from-multiple-error-related-brain-activity
#14
Guofa Shou, Lei Ding, Guofa Shou, Lei Ding, Guofa Shou, Lei Ding
A key ability of the human brain is to monitor erroneous events and adjust behaviors accordingly. Electrophysiological and neuroimaging studies have demonstrated different brain activities related to errors. Meanwhile, the recognition of error-related brain activity as one aspect of performance monitoring has been reported for potential applications in clinical neuroscience and brain-machine interface, where single-trial analysis and classification would provide novel insights on dynamic brain responses to errors...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227055/hrv4training-large-scale-longitudinal-training-load-analysis-in-unconstrained-free-living-settings-using-a-smartphone-application
#15
Marco Altini, Oliver Amft, Marco Altini, Oliver Amft, Oliver Amft, Marco Altini
We describe an approach to support athletes at various fitness levels in their training load analysis using heart rate (HR) and heart rate variability (HRV). A smartphone-based application (HRV4Training) was developed that captures heart activity over one to five minutes using photoplethysmography (PPG) and derives HR and HRV features. HRV4Training integrated a guide for an early morning spot measurement protocol and a questionnaire to capture self-reported training activity. The smartphone application was made publicly available for interested users to quantify training effect...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226882/development-of-a-real-time-activity-monitoring-android-application-utilizing-smartstep
#16
Nagaraj Hegde, Edward Melanson, Edward Sazonov, Nagaraj Hegde, Edward Melanson, Edward Sazonov, Nagaraj Hegde, Edward Melanson, Edward Sazonov
Footwear based activity monitoring systems are becoming popular in academic research as well as consumer industry segments. In our previous work, we had presented developmental aspects of an insole based activity and gait monitoring system-SmartStep, which is a socially acceptable, fully wireless and versatile insole. The present work describes the development of an Android application that captures the SmartStep data wirelessly over Bluetooth Low energy (BLE), computes features on the received data, runs activity classification algorithms and provides real time feedback...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226617/application-of-cross-correlated-delay-shift-rule-in-spiking-neural-networks-for-interictal-spike-detection
#17
Lilin Guo, Zhenzhong Wang, Mercedes Cabrerizo, Malek Adjouadi, Lilin Guo, Zhenzhong Wang, Mercedes Cabrerizo, Malek Adjouadi, Mercedes Cabrerizo, Lilin Guo, Zhenzhong Wang, Malek Adjouadi
This study proposes a Cross-Correlated Delay Shift (CCDS) supervised learning rule to train neurons with associated spatiotemporal patterns to classify spike patterns. The objective of this study was to evaluate the feasibility of using the CCDS rule to automate the detection of interictal spikes in electroencephalogram (EEG) data on patients with epilepsy. Encoding is the initial yet essential step for spiking neurons to process EEG patterns. A new encoding method is utilized to convert the EEG signal into spike patterns...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226563/real-time-measures-of-context-to-improve-fall-detection-models
#18
Holly B Jimison, Misha Pavel, Holly B Jimison, Misha Pavel, Holly B Jimison, Misha Pavel
Real-time fall detection has been a challenging area of research and even more challenging as a viable commercial service, given the need for near perfect classification algorithms. True fall events are rare is monitored data sets, whereas confounding events for automated algorithms are quite frequent. In this paper we describe a decision theoretic approach to classification and alerting that incorporates context, such as location and activities, to improve probability and utility estimates for new classes, including near falls and known confounding events...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226466/using-respiratory-signals-for-the-recognition-of-human-activities
#19
Raul I Ramos-Garcia, Stephen Tiffany, Edward Sazonov, Raul I Ramos-Garcia, Stephen Tiffany, Edward Sazonov, Raul I Ramos-Garcia, Stephen Tiffany, Edward Sazonov
Human activity recognition through wearable sensors is becoming integral to health monitoring and other applications. Typically, human activity is captured through signals from inertial sensors, while signals from other sensors have been utilized less frequently. In this study, we explored the feasibility of classifying human activities by analyzing the temporal information of respiratory signals through hidden Markov models (HMMs). Left-to-right HMMs were trained for five activities: sedentary, walking, eating, talking, and cigarette smoking...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226332/responsible-safe-and-effective-prescription-of-opioids-for-chronic-non-cancer-pain-american-society-of-interventional-pain-physicians-asipp-guidelines
#20
Laxmaiah Manchikanti, Adam M Kaye, Nebojsa Nick Knezevic, Heath McAnally, Konstantin Slavin, Andrea M Trescot, Susan Blank, Vidyasagar Pampati, Salahadin Abdi, Jay S Grider, Alan D Kaye, Kavita N Manchikanti, Harold Cordner, Christopher G Gharibo, Michael E Harned, Sheri L Albers, Sairam Atluri, Steve M Aydin, Sanjay Bakshi, Robert L Barkin, Ramsin M Benyamin, Mark V Boswell, Ricardo M Buenaventura, Aaron K Calodney, David L Cedeno, Sukdeb Datta, Timothy R Deer, Bert Fellows, Vincent Galan, Vahid Grami, Hans Hansen, Standiford Helm Ii, Rafael Justiz, Dhanalakshmi Koyyalagunta, Yogesh Malla, Annu Navani, Kent H Nouri, Ramarao Pasupuleti, Nalini Sehgal, Sanford M Silverman, Thomas T Simopoulos, Vijay Singh, Daneshvari R Solanki, Peter S Staats, Ricardo Vallejo, Bradley W Wargo, Arthur Watanabe, Joshua A Hirsch
BACKGROUND: Opioid use, abuse, and adverse consequences, including death, have escalated at an alarming rate since the 1990s. In an attempt to control opioid abuse, numerous regulations and guidelines for responsible opioid prescribing have been developed by various organizations. However, the US opioid epidemic is continuing and drug dose deaths tripled during 1999 to 2015. Recent data show a continuing increase in deaths due to natural and semisynthetic opioids, a decline in methadone deaths, and an explosive increase in the rates of deaths involving other opioids, specifically heroin and illicit synthetic fentanyl...
February 2017: Pain Physician
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