journal
MENU ▼
Read by QxMD icon Read
search

Healthcare Technology Letters

journal
https://www.readbyqxmd.com/read/30155265/evolutionary-sequential-genetic-search-technique-based-cancer-classification-using-fuzzy-rough-nearest-neighbour-classifier
#1
Loganathan Meenachi, Srinivasan Ramakrishnan
Cancer is one of the deadly diseases of human life. The patient may likely to survive if the disease is diagnosed in its early stages. In this Letter, the authors propose a genetic search fuzzy rough (GSFR) feature selection algorithm, which is hybridised using the evolutionary sequential genetic search technique and fuzzy rough set to select features. The genetic operator's selection, crossover and mutation are applied to generate the subset of features from dataset. The generated subset is subjected to the evaluation with the modified dependency function of the fuzzy rough set using positive and boundary regions, which act as a fitness function...
August 2018: Healthcare Technology Letters
https://www.readbyqxmd.com/read/30155264/scope-of-physiological-and-behavioural-pain-assessment-techniques-in-children-a-review
#2
Saranya Devi Subramaniam, Brindha Doss, Lakshmi Deepika Chanderasekar, Aswini Madhavan, Antony Merlin Rosary
Pain is an unpleasant subjective experience. At present, clinicians are using self-report or pain scales to recognise and monitor pain in children. However, these techniques are not efficient to observe the pain in children having cognitive disorder and also require highly skilled observers to measure pain. Using these techniques it is also difficult to choose the analgesic drug dosages to the patients after surgery. Thus, this conceptual work explains the demand for automatic coding techniques to evaluate pain and also it documents some evidence of techniques that act as an alternative approach for objectively determining pain in children...
August 2018: Healthcare Technology Letters
https://www.readbyqxmd.com/read/30155263/remote-examination-of-exudates-impact-of-macular-oedema
#3
Uma Punniyamoorthy, Indumathi Pushpam
One of the major causes of eye blindness is identified to be as diabetic retinopathy, which if not detected in earlier stage would cause a serious issue. Long-term diabetes causes diabetic retinopathy. The significant key factor leading to diabetic retinopathy is exudates which affect the retina part and causes eye defects. Thus the first and foremost task in the automated detection of macular oedema is to detect the presence of these exudates. The authors use image processing techniques to detect the optic disc, exudates and the presence of macular oedema...
August 2018: Healthcare Technology Letters
https://www.readbyqxmd.com/read/30155262/nano-rectenna-powered-body-centric-nano-networks-in-the-terahertz-band
#4
Zhichao Rong, Mark S Leeson, Matthew D Higgins, Yi Lu
A wireless body-centric nano-network consists of various nano-sized sensors with the purpose of healthcare application. One of the main challenges in the network is caused by the very limited power that can be stored in nano-batteries in comparison with the power required to drive the device for communications. Recently, novel rectifying antennas (rectennas) based on carbon nanotubes (CNTs), metal and graphene have been proposed. At the same time, research on simultaneous wireless information and power transfer (SWIPT) schemes has progressed apace...
August 2018: Healthcare Technology Letters
https://www.readbyqxmd.com/read/30155261/wireless-sensing-system-for-the-welfare-of-sewer-labourers
#5
V D Ambeth Kumar, D Elangovan, G Gokul, J Praveen Samuel, V D Ashok Kumar
There is a growing demand for the environmental pollution monitoring and control systems. In the view of ever increasing sources of toxic chemicals, these systems should have the facilities to detect and calibrate the source quickly. Toxic gases are the ones that cause health impact but humans are being exposed to it in various situations. These gases have to be monitored such that increase in the normal level of them could be known and proper precaution measures can be undertaken. So, an embedded system is designed using a microcontroller with internet of things, for the purpose of detecting and monitoring the hazardous gas leakage, which aids in the evasion of endangering of human lives...
August 2018: Healthcare Technology Letters
https://www.readbyqxmd.com/read/29923552/understanding-perception-of-active-noise-control-system-through-multichannel-eeg-analysis
#6
Sangeeta Bagha, R K Tripathy, Pranati Nanda, C Preetam, Debi Prasad Das
In this Letter, a method is proposed to investigate the effect of noise with and without active noise control (ANC) on multichannel electroencephalogram (EEG) signal. The multichannel EEG signal is recorded during different listening conditions such as silent, music, noise, ANC with background noise and ANC with both background noise and music. The multiscale analysis of EEG signal of each channel is performed using the discrete wavelet transform. The multivariate multiscale matrices are formulated based on the sub-band signals of each EEG channel...
June 2018: Healthcare Technology Letters
https://www.readbyqxmd.com/read/29922478/are-ultra-short-heart-rate-variability-features-good-surrogates-of-short-term-ones-state-of-the-art-review-and-recommendations
#7
Leandro Pecchia, Rossana Castaldo, Luis Montesinos, Paolo Melillo
Ultra-short heart rate variability (HRV) analysis refers to the study of HRV features in excerpts of length <5 min. Ultra-short HRV is widely growing in many healthcare applications for monitoring individual's health and well-being status, especially in combination with wearable sensors, mobile phones, and smart-watches. Long-term (nominally 24 h) and short-term (nominally 5 min) HRV features have been widely investigated, physiologically justified and clear guidelines for analysing HRV in 5 min or 24 h are available...
June 2018: Healthcare Technology Letters
https://www.readbyqxmd.com/read/29922477/using-brain-connectivity-metrics-from-synchrostates-to-perform-motor-imagery-classification-in-eeg-based-bci-systems
#8
Lorena Santamaria, Christopher James
Phase synchronisation between different neural groups is considered an important source of information to understand the underlying mechanisms of brain cognition. This Letter investigated phase-synchronisation patterns from electroencephalogram (EEG) signals recorded from ten healthy participants performing motor imagery (MI) tasks using schematic emotional faces as stimuli. These phase-synchronised states, named synchrostates, are specific for each cognitive task performed by the user. The maximum and minimum number of occurrence states were selected for each subject and task to extract the connectivity network measures based on graph theory to feed a set of classification algorithms...
June 2018: Healthcare Technology Letters
https://www.readbyqxmd.com/read/29750117/effect-of-technique-and-transfer-board-use-on-the-performance-of-wheelchair-transfers
#9
Giulia Barbareschi, Tsu-Jui Cheng, Catherine Holloway
Transferring to and from the wheelchair seat is a necessary skill for many wheelchair users who wish to be independent of their everyday life. The performance of wheelchair transfers has been associated with the risk of falling and developing upper limb injuries. Both present a risk to the independence of the individual. Previous studies on wheelchair transfers have focused mainly on the analysis of sitting transfers performed by individuals with spinal cord injury, which only represent a small portion of the wider wheelchair users' population...
April 2018: Healthcare Technology Letters
https://www.readbyqxmd.com/read/29750116/classification-of-osteoporosis-by-artificial-neural-network-based-on-monarch-butterfly-optimisation-algorithm
#10
D Devikanniga, R Joshua Samuel Raj
Osteoporosis is a life threatening disease which commonly affects women mostly after their menopause. It primarily causes mild bone fractures, which on advanced stage leads to the death of an individual. The diagnosis of osteoporosis is done based on bone mineral density (BMD) values obtained through various clinical methods experimented from various skeletal regions. The main objective of the authors' work is to develop a hybrid classifier model that discriminates the osteoporotic patient from healthy person, based on BMD values...
April 2018: Healthcare Technology Letters
https://www.readbyqxmd.com/read/29750115/infrared-needle-mapping-to-assist-biopsy-procedures-and-training
#11
Bruce Shar, John Leis, John Coucher
A computed tomography (CT) biopsy is a radiological procedure which involves using a needle to withdraw tissue or a fluid specimen from a lesion of interest inside a patient's body. The needle is progressively advanced into the patient's body, guided by the most recent CT scan. CT guided biopsies invariably expose patients to high dosages of radiation, due to the number of scans required whilst the needle is advanced. This study details the design of a novel method to aid biopsy procedures using infrared cameras...
April 2018: Healthcare Technology Letters
https://www.readbyqxmd.com/read/29750114/profiling-the-propagation-of-error-from-ppg-to-hrv-features-in-a-wearable-physiological-monitoring-device
#12
Davide Morelli, Leonardo Bartoloni, Michele Colombo, David Plans, David A Clifton
Wearable physiological monitors are becoming increasingly commonplace in the consumer domain, but in literature there exists no substantive studies of their performance when measuring the physiology of ambulatory patients. In this Letter, the authors investigate the reliability of the heart-rate (HR) sensor in an exemplar 'wearable' wrist-worn monitoring system (the Microsoft Band 2 ); their experiments quantify the propagation of error from (i) the photoplethysmogram (PPG) acquired by pulse oximetry, to (ii) estimation of HR, and (iii) subsequent calculation of HR variability (HRV) features...
April 2018: Healthcare Technology Letters
https://www.readbyqxmd.com/read/29750113/real-time-eye-tracking-for-the-assessment-of-driver-fatigue
#13
Junli Xu, Jianliang Min, Jianfeng Hu
Eye-tracking is an important approach to collect evidence regarding some participants' driving fatigue. In this contribution, the authors present a non-intrusive system for evaluating driver fatigue by tracking eye movement behaviours. A real-time eye-tracker was used to monitor participants' eye state for collecting eye-movement data. These data are useful to get insights into assessing participants' fatigue state during monotonous driving. Ten healthy subjects performed continuous simulated driving for 1-2 h with eye state monitoring on a driving simulator in this study, and these measured features of the fixation time and the pupil area were recorded via using eye movement tracking device...
April 2018: Healthcare Technology Letters
https://www.readbyqxmd.com/read/29750112/efficacy-and-economic-impact-evaluation-of-a-navigation-system-for-assisted-lung-biopsy
#14
Sara Giannatiempo, Giorgio Carpino, Tommasangelo Petitti, Bruno B Zobel, Rosario F Grasso, Eugenio Guglielmelli
This Letter reports on the testing and assessment of an optical computed tomography-navigation system for percutaneous lung interventional, SIRIO, showing how the lesion diameter affects the bioptic procedure. Clinical data, relating to 501 patients, were collected at the Department of Interventional Radiology of Policlinico Universitario Campus Bio-Medico. This Letter shows that the diameter of lesion affects only the procedure duration (50.91 ± 18.87 min for lesions of diameter ≤20 mm and 44.98 ± 19.43 min for lesions of diameter >20 and ≤40 mm)...
April 2018: Healthcare Technology Letters
https://www.readbyqxmd.com/read/29515816/the-challenge-of-safe-driving-among-elderly-drivers
#15
Gila Albert, Tsippy Lotan, Penina Weiss, Yoram Shiftan
The challenge of ageing has two key aspects with regard to driving: mobility and safety. It is necessary for elderly adults to preserve independent mobility and activity; however, physical frailty and cognitive limitations have negative effects on their safety. Therefore, the issue of driving, and more specifically, the fostering of safe driving of old people, is crucial, especially due the increasing number of elderly people holding a driving license. The purpose of this Letter is to point out the complexity of elderly driving and to suggest countermeasures by acknowledging that obtaining the correct balance between safety and mobility of older drivers is a complicated and sensitive task...
February 2018: Healthcare Technology Letters
https://www.readbyqxmd.com/read/29515815/blood-leakage-detection-during-dialysis-therapy-based-on-fog-computing-with-array-photocell-sensors-and-heteroassociative-memory-model
#16
Jian-Xing Wu, Ping-Tzan Huang, Chia-Hung Lin, Chien-Ming Li
Blood leakage and blood loss are serious life-threatening complications occurring during dialysis therapy. These events have been of concerns to both healthcare givers and patients. More than 40% of adult blood volume can be lost in just a few minutes, resulting in morbidities and mortality. The authors intend to propose the design of a warning tool for the detection of blood leakage/blood loss during dialysis therapy based on fog computing with an array of photocell sensors and heteroassociative memory (HAM) model...
February 2018: Healthcare Technology Letters
https://www.readbyqxmd.com/read/29515814/mean-curvature-and-texture-constrained-composite-weighted-random-walk-algorithm-for-optic-disc-segmentation-towards-glaucoma-screening
#17
Rashmi Panda, N B Puhan, Ganapati Panda
Accurate optic disc (OD) segmentation is an important step in obtaining cup-to-disc ratio-based glaucoma screening using fundus imaging. It is a challenging task because of the subtle OD boundary, blood vessel occlusion and intensity inhomogeneity. In this Letter, the authors propose an improved version of the random walk algorithm for OD segmentation to tackle such challenges. The algorithm incorporates the mean curvature and Gabor texture energy features to define the new composite weight function to compute the edge weights...
February 2018: Healthcare Technology Letters
https://www.readbyqxmd.com/read/29515813/cloud-based-adaptive-exon-prediction-for-dna-analysis
#18
Srinivasareddy Putluri, Md Zia Ur Rahman, Shaik Yasmeen Fathima
Cloud computing offers significant research and economic benefits to healthcare organisations. Cloud services provide a safe place for storing and managing large amounts of such sensitive data. Under conventional flow of gene information, gene sequence laboratories send out raw and inferred information via Internet to several sequence libraries. DNA sequencing storage costs will be minimised by use of cloud service. In this study, the authors put forward a novel genomic informatics system using Amazon Cloud Services, where genomic sequence information is stored and accessed for processing...
February 2018: Healthcare Technology Letters
https://www.readbyqxmd.com/read/29515812/cascade-and-parallel-combination-cpc-of-adaptive-filters-for-estimating-heart-rate-during-intensive-physical-exercise-from-photoplethysmographic-signal
#19
Mohammad Tariqul Islam, Sk Tanvir Ahmed, Ishmam Zabir, Celia Shahnaz, Shaikh Anowarul Fattah
Photoplethysmographic (PPG) signal is getting popularity for monitoring heart rate in wearable devices because of simplicity of construction and low cost of the sensor. The task becomes very difficult due to the presence of various motion artefacts. In this study, an algorithm based on cascade and parallel combination (CPC) of adaptive filters is proposed in order to reduce the effect of motion artefacts. First, preliminary noise reduction is performed by averaging two channel PPG signals. Next in order to reduce the effect of motion artefacts, a cascaded filter structure consisting of three cascaded adaptive filter blocks is developed where three-channel accelerometer signals are used as references to motion artefacts...
February 2018: Healthcare Technology Letters
https://www.readbyqxmd.com/read/29515811/relevance-of-two-manual-tumour-volume-estimation-methods-for-diffuse-low-grade-gliomas
#20
Meriem Ben Abdallah, Marie Blonski, Sophie Wantz-Mézières, Yann Gaudeau, Luc Taillandier, Jean-Marie Moureaux
Management of diffuse low-grade glioma (DLGG) relies extensively on tumour volume estimation from MRI datasets. Two methods are currently clinically used to define this volume: the commonly used three-diameters solution and the more rarely used software-based volume reconstruction from the manual segmentations approach. The authors conducted an initial study of inter-practitioners' variability of software-based manual segmentations on DLGGs MRI datasets. A panel of 13 experts from various specialties and years of experience delineated 12 DLGGs' MRI scans...
February 2018: Healthcare Technology Letters
journal
journal
52550
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"