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Healthcare Technology Letters

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https://www.readbyqxmd.com/read/29383259/monitoring-of-atopic-dermatitis-using-leaky-coaxial-cable
#1
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
#2
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
#3
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
https://www.readbyqxmd.com/read/29383256/assessment-of-chronic-kidney-disease-using-skin-texture-as-a-key-parameter-for-south-indian-population
#4
Madhanlal Udhayarasu, Kalpana Ramakrishnan, Soundararajan Periasamy
Periodical monitoring of renal function, specifically for subjects with history of diabetic or hypertension would prevent them from entering into chronic kidney disease (CKD) condition. The recent increase in numbers may be due to food habits or lack of physical exercise, necessitates a rapid kidney function monitoring system. Presently, it is determined by evaluating glomerular filtration rate (GFR) that is mainly dependent on serum creatinine value and demographic parameters and ethnic value. Attempted here is to develop ethnic parameter based on skin texture for every individual...
December 2017: Healthcare Technology Letters
https://www.readbyqxmd.com/read/29184668/can-surgical-simulation-be-used-to-train-detection-and-classification-of-neural-networks
#5
Odysseas Zisimopoulos, Evangello Flouty, Mark Stacey, Sam Muscroft, Petros Giataganas, Jean Nehme, Andre Chow, Danail Stoyanov
Computer-assisted interventions (CAI) aim to increase the effectiveness, precision and repeatability of procedures to improve surgical outcomes. The presence and motion of surgical tools is a key information input for CAI surgical phase recognition algorithms. Vision-based tool detection and recognition approaches are an attractive solution and can be designed to take advantage of the powerful deep learning paradigm that is rapidly advancing image recognition and classification. The challenge for such algorithms is the availability and quality of labelled data used for training...
October 2017: Healthcare Technology Letters
https://www.readbyqxmd.com/read/29184667/design-and-evaluation-of-an-augmented-reality-simulator-using-leap-motion
#6
Trinette Wright, Sandrine de Ribaupierre, Roy Eagleson
Advances in virtual and augmented reality (AR) are having an impact on the medical field in areas such as surgical simulation. Improvements to surgical simulation will provide students and residents with additional training and evaluation methods. This is particularly important for procedures such as the endoscopic third ventriculostomy (ETV), which residents perform regularly. Simulators such as NeuroTouch, have been designed to aid in training associated with this procedure. The authors have designed an affordable and easily accessible ETV simulator, and compare it with the existing NeuroTouch for its usability and training effectiveness...
October 2017: Healthcare Technology Letters
https://www.readbyqxmd.com/read/29184666/intra-operative-ultrasound-based-augmented-reality-guidance-for-laparoscopic-surgery
#7
Rohit Singla, Philip Edgcumbe, Philip Pratt, Christopher Nguan, Robert Rohling
In laparoscopic surgery, the surgeon must operate with a limited field of view and reduced depth perception. This makes spatial understanding of critical structures difficult, such as an endophytic tumour in a partial nephrectomy. Such tumours yield a high complication rate of 47%, and excising them increases the risk of cutting into the kidney's collecting system. To overcome these challenges, an augmented reality guidance system is proposed. Using intra-operative ultrasound, a single navigation aid, and surgical instrument tracking, four augmentations of guidance information are provided during tumour excision...
October 2017: Healthcare Technology Letters
https://www.readbyqxmd.com/read/29184665/distance-sonification-in-image-guided-neurosurgery
#8
Joseph Plazak, Simon Drouin, Louis Collins, Marta Kersten-Oertel
Image-guided neurosurgery, or neuronavigation, has been used to visualise the location of a surgical probe by mapping the probe location to pre-operative models of a patient's anatomy. One common limitation of this approach is that it requires the surgeon to divert their attention away from the patient and towards the neuronavigation system. In order to improve this type of application, the authors designed a system that sonifies (i.e. provides audible feedback of) distance information between a surgical probe and the location of the anatomy of interest...
October 2017: Healthcare Technology Letters
https://www.readbyqxmd.com/read/29184664/estimation-of-surgical-tool-tip-tracking-error-distribution-in-coordinate-reference-frame-involving-pivot-calibration-uncertainty
#9
Zhe Min, Hongliang Ren, Max Q-H Meng
Accurate understanding of surgical tool-tip tracking error is important for decision making in image-guided surgery. In this Letter, the authors present a novel method to estimate/model surgical tool-tip tracking error in which they take pivot calibration uncertainty into consideration. First, a new type of error that is referred to as total target registration error (TTRE) is formally defined in a single-rigid registration. Target localisation error (TLE) in two spaces to be registered is considered in proposed TTRE formulation...
October 2017: Healthcare Technology Letters
https://www.readbyqxmd.com/read/29184663/quantifying-attention-shifts-in-augmented-reality-image-guided-neurosurgery
#10
Étienne Léger, Simon Drouin, D Louis Collins, Tiberiu Popa, Marta Kersten-Oertel
Image-guided surgery (IGS) has allowed for more minimally invasive procedures, leading to better patient outcomes, reduced risk of infection, less pain, shorter hospital stays and faster recoveries. One drawback that has emerged with IGS is that the surgeon must shift their attention from the patient to the monitor for guidance. Yet both cognitive and motor tasks are negatively affected with attention shifts. Augmented reality (AR), which merges the realworld surgical scene with preoperative virtual patient images and plans, has been proposed as a solution to this drawback...
October 2017: Healthcare Technology Letters
https://www.readbyqxmd.com/read/29184662/towards-x-ray-free-endovascular-interventions-using-hololens-for-on-line-holographic-visualisation
#11
Ivo Kuhlemann, Markus Kleemann, Philipp Jauer, Achim Schweikard, Floris Ernst
A major challenge during endovascular interventions is visualising the position and orientation of the catheter being inserted. This is typically achieved by intermittent X-ray imaging. Since the radiation exposure to the surgeon is considerable, it is desirable to reduce X-ray exposure to the bare minimum needed. Additionally, transferring two-dimensional (2D) X-ray images to 3D locations is challenging. The authors present the development of a real-time navigation framework, which allows a 3D holographic view of the vascular system without any need of radiation...
October 2017: Healthcare Technology Letters
https://www.readbyqxmd.com/read/29184661/application-of-an-rgbd-augmented-c-arm-for-minimally-invasive-scoliosis-surgery-assistance
#12
Séverine Habert, Ulrich Eck, Pascal Fallavollita, Stefan Parent, Nassir Navab, Farida Cheriet
Minimally invasive surgeries (MISs) are gaining popularity as alternatives to conventional open surgeries. In thoracoscopic scoliosis MIS, fluoroscopy is used to guide pedicle screw placement and to visualise the effect of the intervention on the spine curvature. However, cosmetic external appearance is the most important concern for patients, while correction of the spine and achieving coronal and sagittal trunk balance are the top priorities for surgeons. The authors present the feasibility study of the first intra-operative assistive system for scoliosis surgery composed of a single RGBD camera affixed on a C-arm which allows visualising in real time the surgery effects on the patient trunk surface in the transverse plane...
October 2017: Healthcare Technology Letters
https://www.readbyqxmd.com/read/29184660/robust-head-ct-image-registration-pipeline-for-craniosynostosis-skull-correction-surgery
#13
Shusil Dangi, Hina Shah, Antonio R Porras, Beatriz Paniagua, Cristian A Linte, Marius Linguraru, Andinet Enquobahrie
Craniosynostosis is a congenital malformation of the infant skull typically treated via corrective surgery. To accurately quantify the extent of deformation and identify the optimal correction strategy, the patient-specific skull model extracted from a pre-surgical computed tomography (CT) image needs to be registered to an atlas of head CT images representative of normal subjects. Here, the authors present a robust multi-stage, multi-resolution registration pipeline to map a patient-specific CT image to the atlas space of normal CT images...
October 2017: Healthcare Technology Letters
https://www.readbyqxmd.com/read/29184659/multi-modal-imaging-model-based-tracking-and-mixed-reality-visualisation-for-orthopaedic-surgery
#14
Sing Chun Lee, Bernhard Fuerst, Keisuke Tateno, Alex Johnson, Javad Fotouhi, Greg Osgood, Federico Tombari, Nassir Navab
Orthopaedic surgeons are still following the decades old workflow of using dozens of two-dimensional fluoroscopic images to drill through complex 3D structures, e.g. pelvis. This Letter presents a mixed reality support system, which incorporates multi-modal data fusion and model-based surgical tool tracking for creating a mixed reality environment supporting screw placement in orthopaedic surgery. A red-green-blue-depth camera is rigidly attached to a mobile C-arm and is calibrated to the cone-beam computed tomography (CBCT) imaging space via iterative closest point algorithm...
October 2017: Healthcare Technology Letters
https://www.readbyqxmd.com/read/29184658/real-time-geometry-aware-augmented-reality-in-minimally-invasive-surgery
#15
Long Chen, Wen Tang, Nigel W John
The potential of augmented reality (AR) technology to assist minimally invasive surgery (MIS) lies in its computational performance and accuracy in dealing with challenging MIS scenes. Even with the latest hardware and software technologies, achieving both real-time and accurate augmented information overlay in MIS is still a formidable task. In this Letter, the authors present a novel real-time AR framework for MIS that achieves interactive geometric aware AR in endoscopic surgery with stereo views. The authors' framework tracks the movement of the endoscopic camera and simultaneously reconstructs a dense geometric mesh of the MIS scene...
October 2017: Healthcare Technology Letters
https://www.readbyqxmd.com/read/29184657/hand-eye-calibration-using-a-target-registration-error-model
#16
Elvis C S Chen, Isabella Morgan, Uditha Jayarathne, Burton Ma, Terry M Peters
Surgical cameras are prevalent in modern operating theatres and are often used as a surrogate for direct vision. Visualisation techniques (e.g. image fusion) made possible by tracking the camera require accurate hand-eye calibration between the camera and the tracking system. The authors introduce the concept of 'guided hand-eye calibration', where calibration measurements are facilitated by a target registration error (TRE) model. They formulate hand-eye calibration as a registration problem between homologous point-line pairs...
October 2017: Healthcare Technology Letters
https://www.readbyqxmd.com/read/29184656/multimodal-connectivity-based-eloquence-score-computation-and-visualisation-for-computer-aided-neurosurgical-path-planning
#17
Saeed M Bakhshmand, Roy Eagleson, Sandrine de Ribaupierre
Non-invasive assessment of cognitive importance has been a major challenge for planning of neurosurgical procedures. In the past decade, in vivo brain imaging modalities have been considered for estimating the 'eloquence' of brain areas. In order to estimate the impact of damage caused by an access path towards a target region inside of the skull, multi-modal metrics are introduced in this paper. Accordingly, this estimated damage is obtained by combining multi-modal metrics. In other words, this damage is an aggregate of intervened grey matter volume and axonal fibre numbers, weighted by their importance within the assigned anatomical and functional networks...
October 2017: Healthcare Technology Letters
https://www.readbyqxmd.com/read/29184655/editorial-challenges-for-the-usability-of-ar-and-vr-for-clinical-neurosurgical-procedures
#18
EDITORIAL
Sandrine de Ribaupierre, Roy Eagleson
There are a number of challenges that must be faced when trying to develop AR and VR-based Neurosurgical simulators, Surgical Navigation Platforms, and "Smart OR" systems. Trying to simulate an operating room environment and surgical tasks in Augmented and Virtual Reality is a challenge many are attempting to solve, in order to train surgeons or help them operate. What are some of the needs of the surgeon, and what are the challenges encountered (human computer interface, perception, workflow, etc). We discuss these tradeoffs and conclude with critical remarks...
October 2017: Healthcare Technology Letters
https://www.readbyqxmd.com/read/29184654/on-the-need-for-multi-scale-geometric-modelling-of-the-mitral-heart-valve
#19
EDITORIAL
Michael S Sacks, Amir Khalighi, Bruno Rego, Salma Ayoub, Andrew Drach
No abstract text is available yet for this article.
October 2017: Healthcare Technology Letters
https://www.readbyqxmd.com/read/29184653/guest-editors-foreword-special-issue-on-augmented-environments-for-computer-assisted-interventions-cai-systems-enable-more-precise-safer-and-less-invasive-interventional-treatments
#20
EDITORIAL
Pascal Fallavollita, Marta Kersten, Cristian A Linte, Philip Pratt, Ziv Yaniv
No abstract text is available yet for this article.
October 2017: Healthcare Technology Letters
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