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Healthcare Technology Letters

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https://www.readbyqxmd.com/read/28706728/effects-of-ageing-and-alzheimer-disease-on-haemodynamic-response-function-a-challenge-for-event-related-fmri
#1
Davud Asemani, Hassan Morsheddost, Mahsa Alizadeh Shalchy
Functional magnetic resonance imaging (fMRI) can generate brain images that show neuronal activity due to sensory, cognitive or motor tasks. Haemodynamic response function (HRF) may be considered as a biomarker to discriminate the Alzheimer disease (AD) from healthy ageing. As blood-oxygenation-level-dependent fMRI signal is much weak and noisy, particularly for the elderly subjects, a robust method is necessary for HRF estimation to efficiently differentiate the AD. After applying minimum description length wavelet as an extra denoising step, deconvolution algorithm is here employed for HRF estimation, substituting the averaging method used in the previous works...
June 2017: Healthcare Technology Letters
https://www.readbyqxmd.com/read/28706727/pd_manager-an-mhealth-platform-for-parkinson-s-disease-patient-management
#2
Kostas M Tsiouris, Dimitrios Gatsios, George Rigas, Dragana Miljkovic, Barbara Koroušić Seljak, Marko Bohanec, Maria T Arredondo, Angelo Antonini, Spyros Konitsiotis, Dimitrios D Koutsouris, Dimitrios I Fotiadis
PD_Manager is a mobile health platform designed to cover most of the aspects regarding the management of Parkinson's disease (PD) in a holistic approach. Patients are unobtrusively monitored using commercial wrist and insole sensors paired with a smartphone, to automatically estimate the severity of most of the PD motor symptoms. Besides motor symptoms monitoring, the patient's mobile application also provides various non-motor self-evaluation tests for assessing cognition, mood and nutrition to motivate them in becoming more active in managing their disease...
June 2017: Healthcare Technology Letters
https://www.readbyqxmd.com/read/28706726/community-based-trials-of-mobile-solutions-for-the-detection-and-management-of-cognitive-decline
#3
Adele Boyd, Jonathan Synnott, Chris Nugent, David Elliott, John Kelly
This study focused on the development and usability evaluation of EnCare diagnostics (ECD) and the brain fit plan (BFP) in healthy older adults, cognitively impaired and physically impaired individuals. ECD is proposed as a novel solution to cognitive assessment based on colour selection. BFP is a novel solution to personalised cognitive stimulation. The study consisted of two trials designed to evaluate the usability of the apps. Trial 1 involved 11 healthy older adults and four older adults with physical impairments who undertook ECD and mini-mental state examination (MMSE) once per month for 4 months with only those with physical impairments also completing the BFP daily...
June 2017: Healthcare Technology Letters
https://www.readbyqxmd.com/read/28706725/avatars-and-virtual-agents-relationship-interfaces-for-the-elderly
#4
REVIEW
Nava A Shaked
In the Digital Era, the authors witness a change in the relationship between the patient and the care-giver or Health Maintenance Organization's providing the health services. Another fact is the use of various technologies to increase the effectiveness and quality of health services across all primary and secondary users. These technologies range from telemedicine systems, decision making tools, online and self-services applications and virtual agents; all providing information and assistance. The common thread between all these digital implementations, is they all require human machine interfaces...
June 2017: Healthcare Technology Letters
https://www.readbyqxmd.com/read/28706724/editorial-the-healthcare-systems-have-a-growing-need-for-systems-that-enable-holistic-approaches-for-treatment-of-age-related-conditions-supporting-active-and-healthy-ageing-and-interactions-with-the-patients-their-caregivers-and-healthcare-professionals
#5
EDITORIAL
https://www.readbyqxmd.com/read/28546863/ecg-signal-analysis-using-modified-s-transform
#6
Birendra Biswal
Accurate detection of QRS complexes is essential for the investigation of heart rate variability. Several transform techniques have been proposed and extensively used for the detection and analysis of QRS complexes. In this proposed work, the de-noised ECG signal is subjected to a modified S-transform for QRS complex detection.The performance analysis of the proposed work is evaluated using parameters such as sensitivity, positive predictivity and accuracy. The algorithm delivers sensitivity, positive predictivity and overall accuracy of 99...
April 2017: Healthcare Technology Letters
https://www.readbyqxmd.com/read/28546862/block-sparsity-based-joint-compressed-sensing-recovery-of-multi-channel-ecg-signals
#7
Anurag Singh, Samarendra Dandapat
In recent years, compressed sensing (CS) has emerged as an effective alternative to conventional wavelet based data compression techniques. This is due to its simple and energy-efficient data reduction procedure, which makes it suitable for resource-constrained wireless body area network (WBAN)-enabled electrocardiogram (ECG) telemonitoring applications. Both spatial and temporal correlations exist simultaneously in multi-channel ECG (MECG) signals. Exploitation of both types of correlations is very important in CS-based ECG telemonitoring systems for better performance...
April 2017: Healthcare Technology Letters
https://www.readbyqxmd.com/read/28461902/effect-of-skin-dielectric-properties-on-the-read-range-of-epidermal-ultra-high-frequency-radio-frequency-identification-tags
#8
Dumtoochukwu O Oyeka, John C Batchelor, Ali Mohamad Ziai
This Letter presents an investigation of the effect of human tissue conductivity and permittivity on the performance of epidermal transfer tattoo ultra-high frequency radio-frequency identification (RFID) tags. The measurements were carried out on 20 individuals and the variations in the measured dielectric properties correlate well with variations in the measured tag read range on the individuals and to a lesser extent with their body mass index values. Simulation results also showed the effects of permittivity and conductivity on the designed resonance frequency of the RFID tag...
April 2017: Healthcare Technology Letters
https://www.readbyqxmd.com/read/28461901/technique-to-estimate-human-reaction-time-based-on-visual-perception
#9
Reza Abbasi-Kesbi, Hamidreza Memarzadeh-Tehran, M Jamal Deen
The design and implementation of a wearable system to estimate the human reaction time (HRT) to visual stimulus based on two identical wireless motion sensors are described. Each sensor incorporates a motion sensor (gyroscope), a processor and a transceiver operating at the industrial, scientific and medical frequency of 2.45 GHz. Relevant tests to estimate the HRT are performed in two different scenarios including simple and recognition tests for 90 pairs of measurements. The obtained results are compared with a computer-based system to determine the accuracy of the proposed system...
April 2017: Healthcare Technology Letters
https://www.readbyqxmd.com/read/28461900/common-mode-noise-cancellation-circuit-for-wearable-ecg
#10
Mutsumi Noro, Daisuke Anzai, Jianqing Wang
Wearable electrocardiogram (ECG) is attracting much attention for monitoring heart diseases in healthcare and medical applications. However, an imbalance usually exists between the contact resistances of sensing electrodes, so that a common mode noise caused by external electromagnetic field can be converted into the ECG detection circuit as a differential mode interference voltage. In this study, after explaining the mechanism of how the common mode noise is converted to a differential mode interference voltage, the authors propose a circuit with cadmium sulphide photo-resistors for cancelling the imbalance between the contact resistances and confirm its validity by simulation experiment...
April 2017: Healthcare Technology Letters
https://www.readbyqxmd.com/read/28529762/enhanced-inter-subject-brain-computer-interface-with-associative-sensorimotor-oscillations
#11
Simanto Saha, Khawza I Ahmed, Raqibul Mostafa, Ahsan H Khandoker, Leontios Hadjileontiadis
Electroencephalography (EEG) captures electrophysiological signatures of cortical events from the scalp with high-dimensional electrode montages. Usually, excessive sources produce outliers and potentially affect the actual event related sources. Besides, EEG manifests inherent inter-subject variability of the brain dynamics, at the resting state and/or under the performance of task(s), caused probably due to the instantaneous fluctuation of psychophysiological states. A wavelet coherence (WC) analysis for optimally selecting associative inter-subject channels is proposed here and is being used to boost performances of motor imagery (MI)-based inter-subject brain computer interface (BCI)...
February 2017: Healthcare Technology Letters
https://www.readbyqxmd.com/read/28529761/developing-and-evaluating-a-mobile-driver-fatigue-detection-network-based-on-electroencephalograph-signals
#12
Jinghai Yin, Jianfeng Hu, Zhendong Mu
The rapid development of driver fatigue detection technology indicates important significance of traffic safety. The authors' main goals of this Letter are principally three: (i) A middleware architecture, defined as process unit (PU), which can communicate with personal electroencephalography (EEG) node (PEN) and cloud server (CS). The PU receives EEG signals from PEN, recognises the fatigue state of the driver, and transfer this information to CS. The CS sends notification messages to the surrounding vehicles...
February 2017: Healthcare Technology Letters
https://www.readbyqxmd.com/read/28529760/denoising-techniques-in-adaptive-multi-resolution-domains-with-applications-to-biomedical-images
#13
Salim Lahmiri
Variational mode decomposition (VMD) is a new adaptive multi-resolution technique suitable for signal denoising purpose. The main focus of this work has been to study the feasibility of several image denoising techniques in empirical mode decomposition (EMD) and VMD domains. A comparative study is made using 11 techniques widely used in the literature, including Wiener filter, first-order local statistics, fourth partial differential equation, nonlinear complex diffusion process, linear complex diffusion process (LCDP), probabilistic non-local means, non-local Euclidean medians, non-local means, non-local patch regression, discrete wavelet transform and wavelet packet transform...
February 2017: Healthcare Technology Letters
https://www.readbyqxmd.com/read/28529759/high-frequency-based-features-for-low-and-high-retina-haemorrhage-classification
#14
Salim Lahmiri
Haemorrhages (HAs) presence in fundus images is one of the most important indicators of diabetic retinopathy that causes blindness. In this regard, accurate grading of HAs in fundus images is crucial for appropriate medical treatment. The purpose of this Letter is to assess the relative performance of statistical features obtained with three different multi-resolution analysis (MRA) techniques and fed to support vector machine in grading retinal HAs. Considered MRA techniques are the common discrete wavelet transform (DWT), empirical mode decomposition (EMD), and variational mode decomposition (VMD)...
February 2017: Healthcare Technology Letters
https://www.readbyqxmd.com/read/28529758/noise-aware-dictionary-learning-based-sparse-representation-framework-for-detection-and-removal-of-single-and-combined-noises-from-ecg-signal
#15
Udit Satija, Barathram Ramkumar, M Sabarimalai Manikandan
Automatic electrocardiogram (ECG) signal enhancement has become a crucial pre-processing step in most ECG signal analysis applications. In this Letter, the authors propose an automated noise-aware dictionary learning-based generalised ECG signal enhancement framework which can automatically learn the dictionaries based on the ECG noise type for effective representation of ECG signal and noises, and can reduce the computational load of sparse representation-based ECG enhancement system. The proposed framework consists of noise detection and identification, noise-aware dictionary learning, sparse signal decomposition and reconstruction...
February 2017: Healthcare Technology Letters
https://www.readbyqxmd.com/read/28261493/upper-limb-vibration-prototype-with-sports-and-rehabilitation-applications-development-evaluation-and-preliminary-study
#16
Amit Narahar Pujari, Richard D Neilson, Sumeet S Aphale, Marco Cardinale
Vibration stimulation as an exercise intervention has been studied increasingly for its potential benefits and applications in sports and rehabilitation. Vibratory exercise devices should be capable of generating highly precise and repeatable vibrations and should be capable of generating a range of vibration amplitudes and frequencies in order to provide different training protocols. Many devices used to exercise the upper body provide limited variations to exercise regimes mostly due to the fact that only vibration frequency can be controlled...
February 2017: Healthcare Technology Letters
https://www.readbyqxmd.com/read/28261492/analysis-of-physiological-signals-using-state-space-correlation-entropy
#17
Rajesh Kumar Tripathy, Suman Deb, Samarendra Dandapat
In this letter, the authors propose a new entropy measure for analysis of time series. This measure is termed as the state space correlation entropy (SSCE). The state space reconstruction is used to evaluate the embedding vectors of a time series. The SSCE is computed from the probability of the correlations of the embedding vectors. The performance of SSCE measure is evaluated using both synthetic and real valued signals. The experimental results reveal that, the proposed SSCE measure along with SVM classifier have sensitivity value of 91...
February 2017: Healthcare Technology Letters
https://www.readbyqxmd.com/read/28261491/design-of-smart-neonatal-health-monitoring-system-using-smcc
#18
Debashis De, Anwesha Mukherjee, Arkaprabha Sau, Ishita Bhakta
Automated health monitoring and alert system development is a demanding research area today. Most of the currently available monitoring and controlling medical devices are wired which limits freeness of working environment. Wireless sensor network (WSN) is a better alternative in such an environment. Neonatal intensive care unit is used to take care of sick and premature neonates. Hypothermia is an independent risk factor for neonatal mortality and morbidity. To prevent it an automated monitoring system is required...
February 2017: Healthcare Technology Letters
https://www.readbyqxmd.com/read/28261490/editorial
#19
EDITORIAL
Christopher James
No abstract text is available yet for this article.
February 2017: Healthcare Technology Letters
https://www.readbyqxmd.com/read/28008367/characterisation-of-rollator-use-using-inertial-sensors
#20
Tsu-Jui Cheng, Laurence Kenney, James David Amor, Sibylle Brunhilde Thies, Eleonora Costamagna, Christopher James, Catherine Holloway
The use of walking aids is prevalent among older people and people with mobility impairment. Rollators are designed to support outdoor mobility and require the user to negotiate curbs and slopes in the urban environment. Despite the prevalence of rollators, analysis of their use outside of controlled environments has received relatively little attention. This Letter reports on an initial study to characterise rollator movement. An inertial measurement unit (IMU) was used to measure the motion of the rollator and analytical approaches were developed to extract features characterising the rollator movement, properties of the surface and push events...
December 2016: Healthcare Technology Letters
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