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		<title>Epilepsy is the Fourth Most Common Neurological Disorder</title>
		<link>https://innohealthmagazine.com/2019/in-focus/theme/ai-can-help-decode-epileptic-brain/</link>
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		<pubDate>Wed, 23 Oct 2019 11:04:03 +0000</pubDate>
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					<description><![CDATA[<p>Artificial Intelligence can help decode epileptic brains. Epilepsy is the fourth most common neurological disorder affecting nearly 65 million people worldwide. </p>
<p>The post <a href="https://innohealthmagazine.com/2019/in-focus/theme/ai-can-help-decode-epileptic-brain/">Epilepsy is the Fourth Most Common Neurological Disorder</a> appeared first on <a href="https://innohealthmagazine.com">InnoHEALTH magazine</a>.</p>
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	<p style="text-align: justify !important;">Artificial Intelligence can help decode epileptic brains. Epilepsy is the fourth most common neurological disorder affecting nearly 65 million people worldwide. The seizures or ‘fits’ as is commonly known, arise due to unusual electrical activity in the brain and is the chief symptom of epilepsy. Neither dependent on age or gender, the onset of the seizure is unpredictable without a set pattern of frequency of occurrence or severity, often posing a challenge to the caregiver.</p>
<p><em><strong><a href="https://innohealthmagazine.comissues/one-student-commits-suicide-every-hour-india/">Did you know that one student commits suicide every hour in India?</a></strong></em></p>
<p style="text-align: justify !important;">Although epilepsy can be related to previous brain injuries or genetic factors, neurologists have found unprovoked, recurrent seizures in healthy individuals too. How and why these seizures occur remains a mystery. However, research has found that the source of seizures is within the brain. In other words, the brain itself is the generator of epilepsy.</p>
<p style="text-align: justify !important;">Spatial maps of top 10 networks: If the origin is within the brain, then are there any fingerprints that can be detected? Does the brain often tell-tale signs which can be mapped to predict the tendency of epilepsy?</p>
<p><a href="https://innohealthmagazine.comresearch/aggression-after-drink/"><em><strong>Reason for Aggression After Drink</strong></em></a></p>
<p style="text-align: justify !important;">Seeking answers to these questions, a team of interdisciplinary researchers conducted a study to peep inside epileptic brains. The results indicate that there exist independent neural networks that can carry disease sensitive information about the anomaly. With the help of machine learning models and artificial intelligence, researchers were able to detect and reveal the hidden patterns.</p>
<p style="text-align: justify !important;">“Epilepsy is not a disorder but the manifesting of something from within the brain’s electrical activity. Interestingly, each one of us has the neural map of epilepsy within our brain. It is only when the network gets fired and manifests externally, in a recurrent manner, it becomes disorder or epilepsy,” explained Dr. Tapan Kumar Gandhi, lead researcher of the study from Indian Institute of TechnologyDelhi, while speaking to India Science Wire.</p>
<p style="text-align: justify !important;">The usual diagnosing tool for epilepsy is by EEG (Electroencephalography) readings of epileptic patterns and visible symptoms like convulsions, loss of consciousness or sensory disturbances.</p>
<p style="text-align: justify !important;">Existing studies reveal specific patterns that represent synchronous activities of sensory, auditory, cognitive and other functions. These activities are indicated by the change in blood flow to the brain and seen as BOLD signals or changes in the Blood-Oxygen-Level-Dependent output.</p>
<p style="text-align: justify !important;">Recent developments in Magnetic Resonance Imaging or MRI help picture these activities in the brain and detect the cause of seizures such as a lesion or scar. However, MRI is not very useful when a seizure flares up. Whereas, functional MRI — another scanning method — can record regional interactions in the brain when a particular task is being performed.</p>
<p style="text-align: justify !important;">In 1995, Indian researchers had found that the brain shows prominent neural network connections even in its resting state. Termed as resting-state functional MRI or rsfMRI, the images from this scanning indicate neural patterns in an individual’s brain even when no action is performed.</p>
<p style="text-align: justify !important;">In the present study, the team utilized rsfMRI technique and performed brain scans on individuals with Temporal Lobe Epilepsy (TLE), which is the most common form of epilepsy.</p>
<p style="text-align: justify !important;">Dr. Gandhi said, “We hypothesized that there could be ‘disease-specific networks’ in epilepsy prone brain that can be identified with the help of the machine learning model.” Machine learning involves artificial intelligence to read live data instead of pre-programmed information. Such a building block of a machine is analogous to a neuron cell in the brain.</p>
<p style="text-align: justify !important;">Researchers used a tool called Support Vector Machine (SVM) to deal with the complex and non-linear data obtained from the scans. By using another algorithm called Elastic-net based ranking, the relevant features of the neuroimaging data were extracted. The signals were integrated to reveal the patterns.</p>
<p style="text-align: justify !important;">The team conducted a pilot study on 132 subjects &#8211; 42 with epilepsy, and the rest with healthy individuals. Parameters like age, gender, history of epilepsy, genetic predisposition, incidents of injuries, medications and more, were taken into account. The epilepsy patients underwent three rsfMRI while those in the healthy group were scanned once.</p>
<p style="text-align: justify !important;">In all, 88 independent components or networks were obtained from the whole brain imaging data and fed as input to the SVM. From the patterns, top 10 strong networks were correlated with clinical features using another standard method called Pearson’s Correlation to generate the rsfMRI epileptic neural networks.</p>
<p style="text-align: justify !important;">From the pattern inputs, the SVM could identify epileptic individuals to an accuracy of 97.5% and specific lobes in the brain responsible for the condition. The model also revealed correlations such as the age of onset, frequency of seizures, or duration of illness.</p>
<p style="text-align: justify !important;">By this, researchers concluded that the independently derived rsfMRI contains epilepsy-related networks. ‘Our research establishes that with the help of machine learning methods, we can identify these networks, as we had hypothesized. Increased strength in these networks indicates the possibility of a progressing Temporal Lobe Epilepsy’, explained Dr.Gandhi.</p>
<p style="text-align: justify !important;">The team included Rose Dawn Bharath, Sujas Bharadwaj, Sanjib Sinha, Kenchaiah Raghavendra, Ravindranadh C. Mundlamuri, Arivazhagan Arimappamagan, Malla Bhaskara Rao, Jamuna Rajeshwaran, Kandavel Thennarasu and Parthasarathy Satishchandra (National Institute of Mental Health and Neurosciences, Bengaluru); Tapan K. Gandhi and Jeetu Raj (IIT, Delhi); Rajanikant Panda (Universitè de Liège, Belgium); Ganne Chaitanya (Thomas Jefferson University, USA) and Kaushik K. Majumdar (Indian Statistical Institute, Bengaluru). The study results have been published in the journal European Radiology.</p>
<p style="text-align: right;"><strong><em>Credits: India Science Wire</em></strong></p>
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<p>The post <a href="https://innohealthmagazine.com/2019/in-focus/theme/ai-can-help-decode-epileptic-brain/">Epilepsy is the Fourth Most Common Neurological Disorder</a> appeared first on <a href="https://innohealthmagazine.com">InnoHEALTH magazine</a>.</p>
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		<title>Advantages &#038; Disadvantages : Real Time Health Monitoring Devices</title>
		<link>https://innohealthmagazine.com/2018/research/real-time-health-monitoring-devices/</link>
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		<dc:creator><![CDATA[InnoHEALTH Magazine]]></dc:creator>
		<pubDate>Tue, 27 Nov 2018 10:25:59 +0000</pubDate>
				<category><![CDATA[Research]]></category>
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					<description><![CDATA[<p>Real time health monitoring devices provide real-time analysis of the patient’s health parameters. Patients are sharing their healthcare information in</p>
<p>The post <a href="https://innohealthmagazine.com/2018/research/real-time-health-monitoring-devices/">Advantages &amp; Disadvantages : Real Time Health Monitoring Devices</a> appeared first on <a href="https://innohealthmagazine.com">InnoHEALTH magazine</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p style="text-align: justify !important;">Real-time <a href="https://innohealthmagazine.cominnohealth-conference/biotech-medical-devices-and-future-technologies/">health monitoring devices</a> provide real-time analysis of the patient’s health parameters. Patients are sharing their healthcare information in real time with their caregivers through these devices for flexible health monitoring and management. Internet of medical things is vastly improving the healthcare condition of patients.</p>
<p style="text-align: justify !important;">“Reacts’ secure, versatile and interactive <a href="https://innohealthmagazine.cominnohealth-conference/india-eu-collaboration/">collaboration</a> platform deployed on technology solutions like Philips Lumify can change education and patient care models and enable a positive disruptive change to healthcare,” Dr. Yanick Beaulieu, CEO and Founder of IIT, said in a statement. “For years, clinicians in the field have been trying to piece together systems that offer real-time, interactive teleultrasound capabilities. Now, it has truly arrived.”</p>
<p style="text-align: justify !important;">Tracking patient monitoring and drug management has become possible because of the usage of the above <a href="https://innohealthmagazine.cominnohealth-conference/digital-health/">Internet of Things (IoT)</a> medical devices in the healthcare sector. Increasing aging population, surging healthcare expenses and an increase in the occurrence of chronic diseases is driving healthcare stakeholders to follow remote health management and patient monitoring seriously.</p>
<p style="text-align: justify !important;"><a href="http://bit.ly/2IY3u54"><img decoding="async" class="size-full wp-image-5765 aligncenter" src="https://innohealthmagazine.comwp-content/uploads/2019/04/cyber4healthcare-online-course-bottom-ad-2.png" alt="cyber4healthcare-online-course-bottom-ad (2)" width="728" height="60" srcset="https://innohealthmagazine.com/wp-content/uploads/2019/04/cyber4healthcare-online-course-bottom-ad-2.png 728w, https://innohealthmagazine.com/wp-content/uploads/2019/04/cyber4healthcare-online-course-bottom-ad-2-300x25.png 300w" sizes="(max-width: 728px) 100vw, 728px" /></a></p>
<p style="text-align: justify !important;">The global market for Real-Time Health Monitoring Devices is expected to reach USD 67,982.2 mil by 2022.</p>
<p style="text-align: justify !important;"><strong>Segments:</strong> Global Real Time Health Monitoring Devices Market has been segmented on the basis of the type which comprises of <a href="https://innohealthmagazine.comblog/what-is-next-for-wearables/">wearable devices</a>, home health medical devices. On the basis of the end user, the market is segmented into hospitals, clinics, ambulatory centers, and home care settings.</p>
<p style="text-align: justify !important;">Incorporating Real-Time Health Monitoring Devices in chronic disease management can significantly improve an individual&#8217;s quality of life. It allows patients to maintain independence, prevent complications and minimize personal costs. RPM facilitates these goals by delivering care right to the home. In addition, patients and their family members feel comfortable knowing that they are being monitored and will be supported if a problem arises. This is particularly important when patients are managing complex self-care processes such as home hemodialysis. Key features of Real-Time Health Monitoring Devices, like remote monitoring and trend analysis of physiological parameters, enable early detection of deterioration; thereby, reducing the number of emergency department visits, hospitalizations, and duration of hospital stays. The need for wireless mobility in healthcare facilitates the adoption of RPM both in the community and institutional settings. The time saved as a result of RPM implementation increases efficiency and allows healthcare providers to allocate more time to remotely educate and communicate with patients.</p>
<p><strong>Technological components of Real-Time Health Monitoring Devices</strong></p>
<ul>
<li style="text-align: justify !important;">The diverse applications of RPM lead to numerous variations of RPM technology architecture. However, most RPM technologies follow a general architecture that consists of four components.</li>
<li style="text-align: justify !important;">Sensors on a device that is enabled by wireless communications to measure physiological parameters.</li>
<li style="text-align: justify !important;">Local data storage at patients’ site that interfaces between sensors and other centralized data repository and/or healthcare providers.</li>
<li style="text-align: justify !important;">Centralized repositories to store data sent from sensors, local data storage, diagnostic applications, and/or healthcare providers.</li>
<li style="text-align: justify !important;">Diagnostic application software that develops treatment recommendations and intervention alerts based on the analysis of collected data.</li>
<li style="text-align: justify !important;">Depending on the disease and the parameters that are monitored, different combinations of sensors, storage and applications may be deployed.</li>
</ul>
<p style="text-align: justify !important;">Application of Real Time Health Monitoring Devices Physiological data such as blood pressure and subjective patient data are collected by sensors on peripheral devices. Examples of peripheral devices are blood pressure cuff, pulse oximeter, and glucometer. The data are transmitted to healthcare providers or third parties via wireless telecommunication devices. The data are evaluated for potential problems by a healthcare professional or via a clinical decision support algorithm, and patient, caregivers and health providers are immediately alerted if a problem is detected. As a result, timely intervention ensures positive patient outcomes. The newer applications also provide education, test, and medication Advantages and Disadvantages of Real-Time Health Monitoring Devices reminder alerts, and a means of communication between the patient and the provider. The following section illustrates examples of RPM applications, but RPM is not limited to those disease states.</p>
<p style="text-align: justify !important;">Real-Time Health Monitoring Devices &#8211; Limitations and Overcome Real-Time Health Monitoring Devices are highly dependent on the individual’s motivation to manage their health. Without the patient’s willingness to be an active participant in their care, Real-Time Health Monitoring Devices implementation will likely fail. Cost is also a barrier to its widespread use. There is a lack of reimbursement guidelines for RPM services, which may deter its incorporation into clinical practice. The shift of accountability associated with RPM brings up liability issues. There are no clear guidelines with respect to whether clinicians have to intervene every time they receive an alert regardless of the urgency. The continuous flow of patient data requires a dedicated team of healthcare providers to handle the information, which may, in fact, increase the workload. Although technology is introduced with the intent to increase efficiency, it can become a barrier to some healthcare providers that are not technological.</p>
<p style="text-align: justify !important;">There are common obstacles that health informatics technologies encounter that applies to Real-Time Health Monitoring Devices. Depending on the comorbidities monitored, Real-Time Health Monitoring Devices involves a diverse selection of devices in its implementation. Standardization is required for data exchange and interoperability among multiple components. Furthermore, Real-Time Health Monitoring Devices deployment is highly dependent on an extensive wireless telecommunications infrastructure, which may not be available or feasible in rural areas.</p>
<p style="text-align: justify !important;"><em><strong>Note –</strong> this article has been contributed by -Market Research Future (MRFR), we enable our customers to unravel the complexity of various industries through our Cooked Research Report (CRR), Half-Cooked Research Reports (HCRR), Raw Research Reports (3R), Continuous-Feed Research (CFR), and Market Research &amp; Consulting Services.</em></p>
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<p>The post <a href="https://innohealthmagazine.com/2018/research/real-time-health-monitoring-devices/">Advantages &amp; Disadvantages : Real Time Health Monitoring Devices</a> appeared first on <a href="https://innohealthmagazine.com">InnoHEALTH magazine</a>.</p>
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		<title>EXPANSION AND INNOVATION IN HEALTHCARE</title>
		<link>https://innohealthmagazine.com/2017/innovation/expansion-innovation/</link>
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		<dc:creator><![CDATA[InnoHEALTH Magazine]]></dc:creator>
		<pubDate>Tue, 07 Nov 2017 08:19:58 +0000</pubDate>
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					<description><![CDATA[<p>By Dr. Avantika Batish</p>
<p>The post <a href="https://innohealthmagazine.com/2017/innovation/expansion-innovation/">EXPANSION AND INNOVATION IN HEALTHCARE</a> appeared first on <a href="https://innohealthmagazine.com">InnoHEALTH magazine</a>.</p>
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	<h2><strong><span style="color: #0071b2;">Apollo Sugar Clinics on expansion mode</span></strong></h2>
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	<p style="text-align: justify !important;">Apollo Sugar set up by Apollo Hospital group in collaboration with pharmaceutical company Sanofi, plans to set up 100 clinics by the end of 2018 and 300 clinics over the next three years. It currently operates 52 clinics across India. It aims at providing quality comprehensive diabetes care under one roof at cheaper rates. Apollo Sugar is focusing on tier-2 cities and rural areas for expansion. Right now, it is operating in metro cities like Chennai, Bengaluru and Hyderabad.</p>
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	<p>According to estimates of Union Health Ministry, the total spending on diabetic care is about Rs 1.5 lakh crore per annum in India and every patient spends about Rs 30,000 a year on diabetic care.</p>
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	<h2><strong><span style="color: #0071b2;">ICESENCE3</span></strong></h2>
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	<p style="text-align: justify !important;">IceCure Medical’s IceSence3 has been used by US doctors since 2011 to remove benign breast lumps in a 10-minute ultrasound guided procedure that penetrates the tumor and engulfs it with ice. The system is being clinically tested over the next few years against small malignant breast tumors as well. The procedure is done in a doctor’s office, clinic or breast center, and the patient can get up and leave afterward with no recovery period or post-care.</p>
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	<h2><span style="color: #0071b2;"><strong>TOTAL LIFT BED</strong></span></h2>
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	<p style="text-align: justify !important;">VitalGo Systems’ Total Lift bed is the world’s only hospital grade bed that can elevate a patient from a lying to a fully standing position and all points in between for treatment and transfer with no lifting required of the caregiver. Total Lift beds are used in the acute-care and home-care markets in the United States.</p>
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	<p>Want to write for InnoHEALTH? send us your article at  <a href="mailto:magazine@innovatiocuris.com">magazine@innovatiocuris.com</a></p>
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	<p><strong>Read all the issues of InnoHEALTH magazine:</strong><br />
InnoHEALTH Volume 1 Issue 1 (July to September 2016) – <a href="https://goo.gl/iWAwN2">https://goo.gl/iWAwN2 </a><br />
InnoHEALTH Volume 1 Issue 2 (October to December 2016) – <a href="https://goo.gl/4GGMJz">https://goo.gl/4GGMJz </a><br />
InnoHEALTH Volume 2 Issue 1 (January to March 2017) – <a href="https://goo.gl/DEyKnw">https://goo.gl/DEyKnw </a><br />
InnoHEALTH Volume 2 Issue 2 (April to June 2017) – <a href="https://goo.gl/Nv3eev">https://goo.gl/Nv3eev</a><br />
InnoHEALTH Volume 2 Issue 3 (July to September 2017) – <a href="https://goo.gl/MCVjd6">https://goo.gl/MCVjd6</a></p>
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	<p><strong>Connect with InnovatioCuris on:</strong><br />
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Stay update about IC by visiting: <a href="http://innovatiocuris.com/">www.innovatiocuris.com</a></p>
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<p>The post <a href="https://innohealthmagazine.com/2017/innovation/expansion-innovation/">EXPANSION AND INNOVATION IN HEALTHCARE</a> appeared first on <a href="https://innohealthmagazine.com">InnoHEALTH magazine</a>.</p>
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