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IEEE Journal of Translational Engineering in Health and Medicine

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https://www.readbyqxmd.com/read/29651366/height-and-weight-estimation-from-anthropometric-measurements-using-machine-learning-regressions
#1
Diego Rativa, Bruno J T Fernandes, Alexandre Roque
Height and weight are measurements explored to tracking nutritional diseases, energy expenditure, clinical conditions, drug dosages, and infusion rates. Many patients are not ambulant or may be unable to communicate, and a sequence of these factors may not allow accurate estimation or measurements; in those cases, it can be estimated approximately by anthropometric means. Different groups have proposed different linear or non-linear equations which coefficients are obtained by using single or multiple linear regressions...
2018: IEEE Journal of Translational Engineering in Health and Medicine
https://www.readbyqxmd.com/read/29651365/mastication-evaluation-with-unsupervised-learning-using-an-inertial-sensor-based-system
#2
Caroline Vieira Lucena, Marcelo Lacerda, Rafael Caldas, Fernando Buarque De Lima Neto, Diego Rativa
There is a direct relationship between the prevalence of musculoskeletal disorders of the temporomandibular joint and orofacial disorders. A well-elaborated analysis of the jaw movements provides relevant information for healthcare professionals to conclude their diagnosis. Different approaches have been explored to track jaw movements such that the mastication analysis is getting less subjective; however, all methods are still highly subjective, and the quality of the assessments depends much on the experience of the health professional...
2018: IEEE Journal of Translational Engineering in Health and Medicine
https://www.readbyqxmd.com/read/29651364/precision-of-em-simulation-based-wireless-location-estimation-in-multi-sensor-capsule-endoscopy
#3
Umair Khan, Yunxing Ye, Ain-Ul Aisha, Pranay Swar, Kaveh Pahlavan
In this paper, we compute and examine two-way localization limits for an RF endoscopy pill as it passes through an individuals gastrointestinal (GI) tract. We obtain finite-difference time-domain and finite element method-based simulation results position assessment employing time of arrival (TOA). By means of a 3-D human body representation from a full-wave simulation software and lognormal models for TOA propagation from implant organs to body surface, we calculate bounds on location estimators in three digestive organs: stomach, small intestine, and large intestine...
2018: IEEE Journal of Translational Engineering in Health and Medicine
https://www.readbyqxmd.com/read/29637030/an-alternative-myoelectric-pattern-recognition-approach-for-the-control-of-hand-prostheses-a-case-study-of-use-in-daily-life-by-a-dysmelia-subject
#4
Enzo Mastinu, Johan Ahlberg, Eva Lendaro, Liselotte Hermansson, Bo Hakansson, Max Ortiz-Catalan
The functionality of upper limb prostheses can be improved by intuitive control strategies that use bioelectric signals measured at the stump level. One such strategy is the decoding of motor volition via myoelectric pattern recognition (MPR), which has shown promising results in controlled environments and more recently in clinical practice. Moreover, not much has been reported about daily life implementation and real-time accuracy of these decoding algorithms. This paper introduces an alternative approach in which MPR allows intuitive control of four different grips and open/close in a multifunctional prosthetic hand...
2018: IEEE Journal of Translational Engineering in Health and Medicine
https://www.readbyqxmd.com/read/29637029/histogram-based-features-selection-and-volume-of-interest-ranking-for-brain-pet-image-classification
#5
Imene Garali, Mouloud Adel, Salah Bourennane, Eric Guedj
Positron emission tomography (PET) is a molecular medical imaging modality which is commonly used for neurodegenerative diseases diagnosis. Computer-aided diagnosis, based on medical image analysis, could help quantitative evaluation of brain diseases such as Alzheimer's disease (AD). A novel method of ranking the effectiveness of brain volume of interest (VOI) to separate healthy control from AD brains PET images is presented in this paper. Brain images are first mapped into anatomical VOIs using an atlas...
2018: IEEE Journal of Translational Engineering in Health and Medicine
https://www.readbyqxmd.com/read/29552426/physiological-recording-in-the-mri-environment-prime-mri-compatible-hemodynamic-recording-system
#6
John W Kakareka, Anthony Z Faranesh, Randall H Pursley, Adrienne Campbell-Washburn, Daniel A Herzka, Toby Rogers, Josh Kanter, Kanishka Ratnayaka, Robert J Lederman, Thomas J Pohida
Hemodynamic recording during interventional cardiovascular procedures is essential for procedural guidance, monitoring patient status, and collection of diagnostic information. Recent advances have made interventions guided by magnetic resonance imaging (MRI) possible and attractive in certain clinical scenarios. However, in the MRI environment, electromagnetic interference (EMI) can cause severe distortions and artifacts in acquired hemodynamic waveforms. The primary aim of this paper was to develop and validate a system to minimize EMI on electrocardiogram (ECG) and invasive blood pressure (IBP) signals...
2018: IEEE Journal of Translational Engineering in Health and Medicine
https://www.readbyqxmd.com/read/29552425/clinician-driven-design-of-vitalpad-an-intelligent-monitoring-and-communication-device-to-improve-patient-safety-in-the-intensive-care-unit
#7
Luisa Flohr, Shaylene Beaudry, K Taneille Johnson, Nicholas West, Catherine M Burns, J Mark Ansermino, Guy A Dumont, David Wensley, Peter Skippen, Matthias Gorges
The pediatric intensive care unit (ICU) is a complex environment, in which a multidisciplinary team of clinicians (registered nurses, respiratory therapists, and physicians) continually observe and evaluate patient information. Data are provided by multiple, and often physically separated sources, cognitive workload is high, and team communication can be challenging. Our aim is to combine information from multiple monitoring and therapeutic devices in a mobile application, the VitalPAD , to improve the efficiency of clinical decision-making, communication, and thereby patient safety...
2018: IEEE Journal of Translational Engineering in Health and Medicine
https://www.readbyqxmd.com/read/29541556/design-of-a-continuous-blood-pressure-measurement-system-based-on-pulse-wave-and-ecg-signals
#8
Jian-Qiang Li, Rui Li, Zhuang-Zhuang Chen, Gen-Qiang Deng, Huihui Wang, Constandinos X Mavromoustakis, Houbing Song, Zhong Ming
With increasingly fierce competition for jobs, the pressures on people have risen in recent years, leading to lifestyle and diet disorders that result in significantly higher risks of cardiovascular disease. Hypertension is one of the common chronic cardiovascular diseases; however, mainstream blood pressure measurement devices are relatively heavy. When multiple measurements are required, the user experience and the measurement results may be unsatisfactory. In this paper, we describe the design of a signal collection module that collects pulse waves and electrocardiograph (ECG) signals...
2018: IEEE Journal of Translational Engineering in Health and Medicine
https://www.readbyqxmd.com/read/29541555/evaluation-of-ventilation-induced-lung-inflammation-through-multi-scale-simulations
#9
Israr Bin M Ibrahim, Ramana M Pidaparti, Kevin R Ward
Ventilation-induced lung injury is a common problem faced by patients with respiratory problems who require mechanical ventilation (MV). This injury may lead to a greater chance of developing or exacerbating the acute respiratory distress syndrome which further complicates the therapeutic use of MV. The chain of events begins with the MV initiating an immune response that leads to inflammation induced tissue material alteration (stiffening) and eventually the loss of lung resistance. It is clear from this sequence of events that the phenomenon of ventilation induced injury is multi-scale by nature and, hence, requires holistic analysis involving simulations and informatics...
2018: IEEE Journal of Translational Engineering in Health and Medicine
https://www.readbyqxmd.com/read/29531867/a-meshfree-representation-for-cardiac-medical-image-computing
#10
Heye Zhang, Zhifan Gao, Lin Xu, Xingjian Yu, Ken C L Wong, Huafeng Liu, Ling Zhuang, Pengcheng Shi
The prominent advantage of meshfree method, is the way to build the representation of computational domain, based on the nodal points without any explicit meshing connectivity. Therefore, meshfree method can conveniently process the numerical computation inside interested domains with large deformation or inhomogeneity. In this paper, we adopt the idea of meshfree representation into cardiac medical image analysis in order to overcome the difficulties caused by large deformation and inhomogeneous materials of the heart...
2018: IEEE Journal of Translational Engineering in Health and Medicine
https://www.readbyqxmd.com/read/29468094/chobs-color-histogram-of-block-statistics-for-automatic-bleeding-detection-in-wireless-capsule-endoscopy-video
#11
Tonmoy Ghosh, Shaikh Anowarul Fattah, Khan A Wahid
Wireless capsule endoscopy (WCE) is the most advanced technology to visualize whole gastrointestinal (GI) tract in a non-invasive way. But the major disadvantage here, it takes long reviewing time, which is very laborious as continuous manual intervention is necessary. In order to reduce the burden of the clinician, in this paper, an automatic bleeding detection method for WCE video is proposed based on the color histogram of block statistics, namely CHOBS. A single pixel in WCE image may be distorted due to the capsule motion in the GI tract...
2018: IEEE Journal of Translational Engineering in Health and Medicine
https://www.readbyqxmd.com/read/29456898/passive-radar-for-opportunistic-monitoring-in-e-health-applications
#12
Wenda Li, Bo Tan, Robert Piechocki
This paper proposes a passive Doppler radar as a non-contact sensing method to capture human body movements, recognize respiration, and physical activities in e-Health applications. The system uses existing in-home wireless signal as the source to interpret human activity. This paper shows that passive radar is a novel solution for multiple healthcare applications which complements traditional smart home sensor systems. An innovative two-stage signal processing framework is outlined to enable the multi-purpose monitoring function...
2018: IEEE Journal of Translational Engineering in Health and Medicine
https://www.readbyqxmd.com/read/29456897/detection-of-essential-tremor-at-the-formula-see-text-band
#13
Xiaodong Yang, Syed Aziz Shah, Aifeng Ren, Dou Fan, Nan Zhao, Dongjian Cao, Fangming Hu, Masood Ur Rehman, Weigang Wang, Karen M Von Deneen, Jie Tian
Essential tremor (ET) is a neurological disorder characterized by rhythmic, involuntary shaking of a part or parts of the body. The most common tremor is seen in the hands/arms and fingers. This paper presents an evaluation of ETs monitoring based on finger-to-nose test measurement as captured by small wireless devices working in shortwave or [Formula: see text]-band frequency range. The acquired signals in terms of amplitude and phase information are used to detect a tremor in the hands. Linearly transforming raw phase data acquired in the [Formula: see text]-band were carried out for calibrating the phase information and to improve accuracy...
2018: IEEE Journal of Translational Engineering in Health and Medicine
https://www.readbyqxmd.com/read/29404227/a-knowledge-based-approach-to-automatic-detection-of-equipment-alarm-sounds-in-a-neonatal-intensive-care-unit-environment
#14
Ganna Raboshchuk, Climent Nadeu, Peter Jancovic, Alex Peiro Lilja, Munevver Kokuer, Blanca Munoz Mahamud, Ana Riverola De Veciana
A large number of alarm sounds triggered by biomedical equipment occur frequently in the noisy environment of a neonatal intensive care unit (NICU) and play a key role in providing healthcare. In this paper, our work on the development of an automatic system for detection of acoustic alarms in that difficult environment is presented. Such automatic detection system is needed for the investigation of how a preterm infant reacts to auditory stimuli of the NICU environment and for an improved real-time patient monitoring...
2018: IEEE Journal of Translational Engineering in Health and Medicine
https://www.readbyqxmd.com/read/29404226/automatic-detection-of-compensation-during-robotic-stroke-rehabilitation-therapy
#15
Ying Xuan Zhi, Michelle Lukasik, Michael H Li, Elham Dolatabadi, Rosalie H Wang, Babak Taati
Robotic stroke rehabilitation therapy can greatly increase the efficiency of therapy delivery. However, when left unsupervised, users often compensate for limitations in affected muscles and joints by recruiting unaffected muscles and joints, leading to undesirable rehabilitation outcomes. This paper aims to develop a computer vision system that augments robotic stroke rehabilitation therapy by automatically detecting such compensatory motions. Nine stroke survivors and ten healthy adults participated in this study...
2018: IEEE Journal of Translational Engineering in Health and Medicine
https://www.readbyqxmd.com/read/29333352/smartphone-based-point-of-care-urinalysis-under-variable-illumination
#16
Moonsoo Ra, Mannan Saeed Muhammad, Chiawei Lim, Sehui Han, Chansung Jung, Whoi-Yul Kim
Urine tests are performed by using an off-the-shelf reference sheet to compare the color of test strips. However, the tabular representation is difficult to use and more prone to visual errors, especially when the reference color-swatches to be compared are spatially apart. Thus, making it is difficult to distinguish between the subtle differences of shades on the reagent pads. This manuscript represents a new arrangement of reference arrays for urine test strips (urinalysis). Reference color swatches are grouped in a doughnut chart, surrounding each reagent pad on the strip...
2018: IEEE Journal of Translational Engineering in Health and Medicine
https://www.readbyqxmd.com/read/29296547/electromechanically-actuated-multifunctional-wireless-auxetic-device-for-wound-management
#17
Mariam Mir, Umar Ansari, Murtaza Najabat Ali, Muhammad Hassan Ul Iftikhar, Faisal Qayyum
The design and fabrication of a wound healing device for chronic wounds, with multiple functions for controlled drug delivery and exudate removal, has been described in this paper. The structural features have been machined and modified through laser cutting in a biocompatible polymer cast. Miniaturized versions of electronically actuated (lead-screw and pulley) mechanisms are used for the specific purpose of controlled drug delivery. These mechanisms have been studied and tested, being controlled through a microcontroller setup...
2017: IEEE Journal of Translational Engineering in Health and Medicine
https://www.readbyqxmd.com/read/29285420/development-of-a-non-invasive-blink-reflexometer
#18
Nancey Trevanian Tsai, Jesse S Goodwin, Mark E Semler, Ronald T Kothera, Mark Van Horn, Bethany J Wolf, Dena P Garner
Qualitative assessments of the blink reflex are used clinically to assess neurological status in critical care, operating room, and rehabilitative settings. Despite decades of literature supporting the use of quantitative measurements of the blink reflex in the evaluation of multiple neurological disorders, clinical adoption has failed. Thus, there remains an unmet clinical need for an objective, portable, non-invasive metric of neurological health that can be used in a variety of settings. We have developed a high-speed videography-based device to trigger, record, and analyze a blink reflex...
2017: IEEE Journal of Translational Engineering in Health and Medicine
https://www.readbyqxmd.com/read/29285419/developing-a-wireless-high-precision-and-processing-speed-pulse-monitoring-headset-using-photoplethysmography
#19
Yunhui Jiang, Jian Tang, Xiaoliang Wang, Chao Shen
In this paper, thorough improvement of pulse monitoring and analysis equipment with a headset structure is presented. In order to study the most suitable infrared wavelength for the acquisition of the pulse wave at the earlobe, Monte Carlo simulation was adapted. Both high frequency noise and baseline drift, generated in the signal acquisition process, are considered. To further optimize the system design and improve accuracy, for the sensor's dimensional drift, the corresponding compensation was carried on in the software...
2017: IEEE Journal of Translational Engineering in Health and Medicine
https://www.readbyqxmd.com/read/29282435/efficient-cancer-detection-using-multiple-neural-networks
#20
John Shell, William D Gregory
The inspection of live excised tissue specimens to ascertain malignancy is a challenging task in dermatopathology and generally in histopathology. We introduce a portable desktop prototype device that provides highly accurate neural network classification of malignant and benign tissue. The handheld device collects 47 impedance data samples from 1 Hz to 32 MHz via tetrapolar blackened platinum electrodes. The data analysis was implemented with six different backpropagation neural networks (BNN). A data set consisting of 180 malignant and 180 benign breast tissue data files in an approved IRB study at the Aurora Medical Center, Milwaukee, WI, USA, were utilized as a neural network input...
2017: IEEE Journal of Translational Engineering in Health and Medicine
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