Current Issue : July - September Volume : 2016 Issue Number : 3 Articles : 6 Articles
Recently, speech pattern analysis applications in building predictive tele diagnosis and tele monitoring models for diagnosing\nParkinsonââ?¬â?¢s disease (PD) have attracted many researchers. For this purpose, several data sets of voice samples exist; the UCI data set\nnamed ââ?¬Å?Parkinson Speech Data set with Multiple Types of Sound Recordingsââ?¬Â has a variety of vocal tests, which include sustained\nvowels, words, numbers, and short sentences compiled from a set of speaking exercises for healthy and people with Parkinsonââ?¬â?¢s\ndisease (PWP). Some researchers claim that summarizing the multiple recordings of each subject with the central tendency and\ndispersion metrics is an efficient strategy in building a predictive model for PD. However, they have overlooked the point that a PD\npatient may show more difficulty in pronouncing certain terms than the other terms.Thus, summarizing the vocal tests may lead\ninto loss of valuable information. In order to address this issue, the classification setting must take what has been said into account.\nAs a solution, we introduced a new framework that applies an independent classifier for each vocal test.The final classification result\nwould be a majority vote from all of the classifiers. When our methodology comes with filter-based feature selection, it enhances\nclassification accuracy up to 15%....
In comparison with almost universal adoption of telephony and mobile technologies in modern\nday healthcare, video conferencing has yet to become a ubiquitous clinical tool. Currently telehealth\nservices are faced with a bewildering range of video conferencing software and hardware\nchoices. This paper provides a case study in the selection of video conferencing services by the\nFlinders University Telehealth in the Home trial (FTH Trial) to support healthcare in the home.\nUsing pragmatic methods, video conferencing solutions available on the market were assessed for\nusability, reliability, cost, compatibility, interoperability, performance and privacy considerations.\nThe process of elimination through which the eventual solution was chosen, the selection criteria\nused for each requirement and the corresponding results are described. The resulting product set,\nalthough functional, had restricted ability to directly connect with systems used by healthcare\nproviders elsewhere in the system. This outcome illustrates the impact on one small telehealth\nprovider of the broader struggles between competing video conferencing vendors. At stake is the\nability to communicate between healthcare organizations and provide public access to healthcare.\nComparison of the current state of the video conferencing market place with the evolution of the\ntelephony system reveals that video conferencing still has a long way to go before it can be considered\nas easy to use as the telephone. Health organizations that are concerned to improve access\nand quality of care should seek to influence greater standardization and interoperability though\ncooperation with one another, the private sector, international organizations and by encouraging\ngovernments to play a more active role in this sphere....
Background. Software guided optic nerve assessment can assist in process automation and reduce interobserver disagreement.We\ntested depth analysis software (DAS) in assessing optic nerve cup-to-disc ratio (VCD) from stereoscopic optic nerve images (SONI)\nof normal eyes. Methods. In a prospective study, simultaneous SONI from normal subjects were collected during telemedicine\nscreenings using a Kowa 3Wx nonmydriatic simultaneous stereoscopic retinal camera (Tokyo, Japan). VCD was determined from\nSONI pairs and proprietary pixelDAS (Kowa Inc., Tokyo, Japan) after disc and cup contour line placement. A nonstereoscopicVCD\nwas determined using the right channel of a stereo pair. Mean, standard deviation, ...
This study describes the design of a real-time interactive multimedia teleradiology system and assesses how the system is used by\nreferring physicians in point-of-care situations and supports or hinders aspects of physician-radiologist interaction.We developed a\nreal-time multimedia teleradiology management system that automates the transfer of images and radiologists� reports and surveyed\nphysicians to triangulate the findings and to verify the realism and results of the experiment.The web-based survey was delivered to\n150 physicians from a range of specialties. The survey was completed by 72% of physicians. Data showed a correlation between rich\ninteractivity, satisfaction, and effectiveness. The results of our experiments suggest that real-time multimedia tele radiology systems\nare valued by referring physicians and may have the potential for enhancing their practice and improving patient care and highlight\nthe critical role of multimedia technologies to provide real-time multi mode interactivity in current medical care....
We examined clinicians� and researchers� experiences from participation in collaborative research on the introduction of Internet\nand mobile information systems (mHealth systems) in psycho therapeutic routines.The study used grounded theory methodology\nand was set in a collaboration that aimed to develop and evaluate mHealth support of psychotherapy provided to young people.\nSoundness of the central objects developed in the design phase (the collaboration contract, the trial protocol, and the system\ntechnology) was a necessary foundation for successful collaborative mHealth research; neglect of unanticipated organizational\ninfluences during the trial phase was a factor in collaboration failure.The experiences gained in this study can be used in settings\nwhere collaborative research on mHealth systems in mental health is planned....
Background: For many eServices, end-user trust is a crucial prerequisite for use. Within the context of Telemedicine,\nthe role of trust has hardly ever been studied. In this study, we explored what determines trust in portals that facilitate\nrehabilitation therapy, both from the perspective of the patient and the healthcare professional.\nMethods: We held two focus groups with patients (total n = 15) and two with healthcare professionals (total n = 13) in\nwhich we discussed when trust matters, what makes up trust in a rehabilitation portal, what effect specific design cues\nhave, and how much the participants trust the use of activity sensor data for informing treatment.\nResults: Trust in a rehabilitation portal is the sum of trust in different factors. These factors and what makes up these\nfactors differ for patients and healthcare professionals. For example, trust in technology is made up, for patients, mostly\nby a perceived level of control and privacy, while for healthcare professionals, a larger and different set of issues play a\nrole, including technical reliability and a transparent data storage policy. Healthcare professionals distrust activity sensor\ndata for informing patient treatment, as they think that sensors are unable to record the whole range of movements\nthat patients make (e.g., walking and ironing clothes).\nConclusions: The set of factors that affect trust in a rehabilitation portal are different from the sets that have been\nfound for other contexts, like eCommerce. Trust in telemedicine technology should be studied as a separate subject\nto inform the design of reliable interventions....
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