Left to Their Own Devices: The Promise and Dangers of IoT-Connected Medical Devices
Connected medical technology has arrived at the most opportune time. Insurance companies, now required to cover people with preexisting conditions, have needed some way to lower the costs of healthcare to balance the expense associated with higher-risk individuals. Connected devices help address this exact problem. iRhythm, for instance, manufactures a device that monitors cardiac activity and relies on machine learning for analysis. Products like these help providers treat more patients while consuming fewer resources. There are also offerings that help doctors monitor patient condition remotely so both parties can spend less time in expensive hospital rooms. With more patients, the demand for doctors’ time has skyrocketed, putting upward pressure on the prices doctors charge for their services and expertise. Machine learning and connected devices help siphon off some of this excess demand while helping to reducing provider prices. Normally, the medical device industry is risk-averse and cautious about adopting new technologies because of the critical nature of the products themselves and the regulatory hurdles needed to bring these offerings to market. However, many companies have been relatively quick to embrace Internet of Things (IoT) innovations. This is great news. The industry’s dive into IoT means companies believe the value of embracing this technology outweighs the risks. If medical device manufacturers think insurers will pay for their new de...
A 12-year-old girl with severe epilepsy is spearheading a campaign to legalize medical marijuana across the country
A 12-year-old girl is spearheading a campaign to legalize medical marijuana across the whole country. Alexis Bortell said she and her family had no choice but to move from their Texas home to Colorado to treat her severe epilepsy. Now, her family and a handful of others are suing Attorney General Jeff Sessions and the DEA. Barry Petersen reports.
Abstract The feature extraction from electroencephalogram (EEG) signals is widely used for computer‐aided epileptic seizure detection. However, multiple channels of EEG signals and their correlations have not been completely harnessed. In this article, a novel automatic seizure detection approach is proposed by analyzing the spatiotemporal correlation of multi‐channel EEG signals. This approach combines the maximum cross‐correlation, robust‐principal component analysis, and least square‐support vector machine to detect the events. Our proposed method delivers higher detection sensitivity, specificity, and accurac...
This study examines trends in healthcare expenditures and components in U.S. adults with epilepsy between 2003 and 2014.
Summary ObjectiveStudies from a small number of countries suggest that patients with psychogenic nonepileptic seizures (PNES) have limited access to diagnostic and treatment services. The PNES Task Force of the International League Against Epilepsy (ILAE) carried out 2 surveys to explore the diagnosis and treatment of PNES around the world. MethodsA short survey (8 questions) was sent to all 114 chapters of the ILAE. A longer survey (36 questions) was completed by healthcare professionals who see patients with seizures. Questions were separated into 5 sections: professional role, diagnostic methods, management, etiology, a...
Publication date: Available online 20 November 2017 Source:Epilepsy & Behavior Author(s): Sang-Ahm Lee
Publication date: Available online 16 November 2017 Source:Epilepsy & Behavior Author(s): Jamal M. Alkhateeb, Muna S. Alhadidi The aim of this study was to explore information about epilepsy found on Arabic websites. The researchers collected information from the internet between November 2016 and January 2017. Information was obtained using Google and Yahoo search engines. Keywords used were the Arabic equivalent of the following two keywords: epilepsy (Al-saraa) and convulsion (Tashanoj). A total of 144 web pages addressing epilepsy in Arabic were reviewed. The majority of web pages were websites of medical institut...
Members of the neurology service were asked to give an opinion on the prognosis of a child whose prenatal MRI showed holoprosencephaly (figure). The test was done as interpretation of the prenatal ultrasound at 27 weeks of gestation was concerning for abnormal brain development. The post-natal MRI confirmed the diagnosis of semilobar holoprosencephaly. At birth, the child was deemed to be small for gestational age, she had evident cleft lip and palate, hypertelorism, and microphthalmia. She was later diagnosed with panhypopituitarism and epilepsy.
Conclusions: rTBI is an important contributor to the general population TBI burden. Certain risk factors can help identify individuals at higher risk of these repeated injuries. However, higher quality research that improves on rTBI surveillance methodology is needed.
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