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Healthcare Technology Letters

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https://www.readbyqxmd.com/read/29923552/understanding-perception-of-active-noise-control-system-through-multichannel-eeg-analysis
#1
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
#2
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
#3
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
#4
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
#5
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
#6
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
#7
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
#8
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
#9
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
#10
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
#11
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
#12
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
#13
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
#14
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
#15
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
https://www.readbyqxmd.com/read/29515810/cardiorespiratory-system-monitoring-using-a-developed-acoustic-sensor
#16
Reza Abbasi-Kesbi, Atefeh Valipour, Khadije Imani
This Letter proposes a wireless acoustic sensor for monitoring heartbeat and respiration rate based on phonocardiogram (PCG). The developed sensor comprises a processor, a transceiver which operates at industrial, scientific and medical band and the frequency of 2.54 GHz as well as two capacitor microphones which one for recording the heartbeat and another one for respiration rate. To evaluate the precision of the presented sensor in estimating heartbeat and respiration rate, the sensor is tested on the different volunteers and the obtained results are compared with a gold standard as a reference...
February 2018: Healthcare Technology Letters
https://www.readbyqxmd.com/read/29515809/eye-tracking-aided-digital-system-for-strabismus-diagnosis
#17
Zeng Hai Chen, Hong Fu, Wai Lun Lo, Zheru Chi, Bingang Xu
Strabismus is one of the most common vision disorders in preschool children. It can cause amblyopia and even permanent vision loss. In addition to a vision problem, strabismus brings to both children and adults serious negative impacts in their daily life, education, employment etc. Timely diagnosis of strabismus is thus crucial. However, traditional diagnosis methods conducted by ophthalmologists rely significantly on their experiences, making the diagnosis results subjective. It is also inconvenient for those methods being used for strabismus examination in large communities such as schools...
February 2018: Healthcare Technology Letters
https://www.readbyqxmd.com/read/29383259/monitoring-of-atopic-dermatitis-using-leaky-coaxial-cable
#18
Binbin Dong, Aifeng Ren, Syed Aziz Shah, Fangming Hu, Nan Zhao, Xiaodong Yang, Daniyal Haider, Zhiya Zhang, Wei Zhao, Qammer Hussain Abbasi
In our daily life, inadvertent scratching may increase the severity of skin diseases (such as atopic dermatitis etc.). However, people rarely pay attention to this matter, so the known measurement behaviour of the movement is also very little. Nevertheless, the behaviour and frequency of scratching represent the degree of itching, and the analysis of scratching frequency is helpful to the doctor's clinical dosage. In this Letter, a novel system is proposed to monitor the scratching motion of a sleeping human body at night...
December 2017: Healthcare Technology Letters
https://www.readbyqxmd.com/read/29383258/anti-jamming-communication-for-body-area-network-using-chaotic-frequency-hopping
#19
Balamurugan Gopalakrishnan, Marcharla Anjaneyulu Bhagyaveni
The healthcare industries research trends focus on patient reliable communication and security is a paramount requirement of healthcare applications. Jamming in wireless communication medium has become a major research issue due to the ease of blocking communication in wireless networks and throughput degradation. The most commonly used technique to overcome jamming is frequency hopping (FH). However, in traditional FH pre-sharing of key for channel selection and a high-throughput overhead is required. So to overcome this pre-sharing of key and to increase the security chaotic frequency hopping (CFH) has been proposed...
December 2017: Healthcare Technology Letters
https://www.readbyqxmd.com/read/29383257/secured-remote-health-monitoring-system
#20
Duraisamy Sathya, Pugalendhi Ganesh Kumar
Wireless medical sensor network is used in healthcare applications that have the collections of biosensors connected to a human body or emergency care unit to monitor the patient's physiological vital status. The real-time medical data collected using wearable medical sensors are transmitted to a diagnostic centre. The data generated from the sensors are aggregated at this centre and transmitted further to the doctor's personal digital assistant for diagnosis. The unauthorised access of one's health data may lead to misuse and legal complications while unreliable data transmission or storage may lead to life threatening risk to patients...
December 2017: Healthcare Technology Letters
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