Automatic single-trial discrimination of mental arithmetic, mental singing and the no-control state from prefrontal activity: toward a three-state NIRS-BCI

<p>Abstract</p> <p>Background</p> <p>Near-infrared spectroscopy (NIRS) is an optical imaging technology that has recently been investigated for use in a safe, non-invasive brain-computer interface (BCI) for individuals with severe motor impairments. To date, most NIRS-BCI studies have attempted to discriminate two mental states (e.g., a mental task and rest), which could potentially lead to a two-choice BCI system. In this study, we attempted to automatically differentiate three mental states - specifically, intentional activity due to 1) a mental arithmetic (MA) task and 2) a mental singing (MS) task, and 3) an unconstrained, "no-control (NC)" state - to investigate the feasibility of a three-choice system-paced NIRS-BCI.</p> <p>Results</p> <p>Deploying a dual-wavelength frequency domain near-infrared spectrometer, we interrogated nine sites around the frontopolar locations while 7 able-bodied adults performed mental arithmetic and mental singing to answer multiple-choice questions within a system-paced paradigm. With a linear classifier trained on a ten-dimensional feature set, an overall classification accuracy of 56.2% was achieved for the MA vs. MS vs. NC classification problem and all individual participant accuracies significantly exceeded chance (i.e., 33%). However, as anticipated based on results of previous work, the three-class discrimination was unsuccessful for three participants due to the ineffectiveness of the mental singing task. Excluding these three participants increases the accuracy rate to 62.5%. Even without training, three of the remaining four participants achieved accuracies approaching 70%, the value often cited as being necessary for effective BCI communication.</p> <p>Conclusions</p> <p>These results are encouraging and demonstrate the potential of a three-state system-paced NIRS-BCI with two intentional control states corresponding to mental arithmetic and mental singing.</p

Internet of Things home healthcare: the feasibility of elderly activity monitoring

Homecare systems are a focus of research due to shifting care requirements of the elderly. Activity has become a vital metric when monitoring vulnerable patients. Activity monitoring however is contextual and difficult to capture. In this paper the implementation of a Bluetooth low energy monitoring system which incorporates the interoperability of Internet of Things (IoT) to create a sustainable homecare approach is explored. Monitored patient health is evaluated using activities of daily living standards. Data captured is evaluated to determine movement, motion and location which contribute to the activity based, sensor driven care models. Activity is captured by occupants interacting with ‘unique’ objects of interest (OOI). Interactions captured are evaluated using activities of daily living by aligning room positioning, transference within the home and OOI use

Technology assisted risk assessment in homecare

The home is a key environment for geriatric care. Research has demonstrated patients discharged to their homes are at a high risk of readmission of transitioning to homecare. The ability for care providers to predict and mitigate risk is limited in this environment. Significant observational requirements hinder continued diagnosis which limits timely interventions before a readmission event. Technology is used to resolve this issue and provide enhanced risk assessments by gathering data, however these technologies present a wide variety of challenges including barriers to use and ethical considerations which hinder an effective solution. This paper seeks to examine the necessary observations homecare providers require to form effective risk assessments and interventions in the home. This is achieved by remote monitoring through Bluetooth low energy (BLE) sensors for the common causes of hospital readmissions including observed difficulties in activities of daily living (ADL), heart rate fluctuations and falls. Risk is assessed by examining these factors as events to deduce behaviour or apparent reduction in capacity to function in daily life. Results obtained when using BLE sensors, heart rate monitors and fall detectors show it is possible to observe and record events of interest to health care providers in the provision of geriatric homecare. Patterns within sensor data could be used in the home environment to form an effective patient risk analysis given remote monitoring access to a patient and prescribed care plan to evaluate outcomes and possibility of readmission. Further experiments will test and validate the risk assessment analysis formed in this paper

Field Pea Diversity and Its Contribution to Farmers\u27 Livelihoods in Northern Ethiopia

Field pea is grown by smallholder farmers in Ethiopia as a source of food, fodder, income, and soil fertility. This study explores intraspecific diversity of field pea and its contribution to farmers\u27 livelihoods in two agroecological zones of South Tigray and South Wollo, northeastern Ethiopia. Interviews were conducted with 168 farming households. The number of varieties and the Shannon Diversity Index (SDI) were higher in South Tigray (seven varieties, 0.35 SDI) than South Wollo (two varieties, 0.025 SDI). Farmers in South Tigray plant field pea during two growing seasons, allowing for integration of multiple varieties into their farming systems. The price of one field pea type from South Tigray known as “dekoko” was twice as high as other field pea varieties, most likely due to high demand and relatively low supply. Key informants reported “dekoko” has become less common in their communities, with diseases and pests reported as major production constraints. Multistakeholder collaboration is recommended to enhance the contribution of field pea to Ethiopian farming systems

Lab Grown Meat Consumer Perception Analysis

Concerns have grown in recent years about the environmental impact and greenhouse emissions of the meat production industry and meat consumption. Attempts are under way to grow meat in labs from existing meat cells without having to additionally harvest animals and have recently been approved by the FDA. We have collected data from 252 survey respondents from the Northwest to explore consumer perceptions about such lab-grown meat products. Preliminary findings in the data display a generally positive attitude and a moderate level of confidence in the safety of lab-grown meat. Lastly, our findings suggest that businesses may be able to capitalize on consumer interest in lab grown meat by emphasizing the safety, ethical production methods, and environmental sustainability of these products. Additional analysis and results will be presented

Fetal medicine specialist experiences of providing a new service of termination of pregnancy for fatal fetal anomaly: a qualitative study

Objective: To explore fetal medicine specialists' experiences of caring for parents following a diagnosis of fatal fetal anomaly (FFA) during the implementation of termination of pregnancy (TOP) for FFA for the first time. Design: Qualitative study. Setting: Fetal medicine units in the Republic of Ireland. Population: Ten fetal medicine specialists from five of the six fetal medicine units. Methods: nvivo 12 assisted in the thematic analysis of semi-structured in-depth face-to-face interviews. Main outcome measures: Fetal medicine specialists' experiences of prenatal diagnosis and holistic management of pregnancies complicated by FFA. Results: Four themes were identified: 'not fatal enough', 'interactions with colleagues', 'supporting pregnant women' and 'internal conflict and emotional challenges'. Fetal medicine specialists feared getting an FFA diagnosis incorrect because of media scrutiny and criminal liability associated with the TOP for FFA legislation. Challenges with the ambiguous and 'restrictive' legislation were identified that 'ostracised' severe anomalies. Teamwork was essential to facilitate opportunities for learning and peer support; however, conflict with colleagues was experienced regarding the diagnosis of FFA, the provision of feticide and palliative care to infants born alive following TOP for FFA. Participants reported challenges implementing TOP for FFA, including the absence of institutional support and 'stretched' resources. Fetal medicine specialists experienced internal conflict and a psychological burden providing TOP for FFA, but did so to 'provide full care for women'. Conclusions: Our study identified challenges regarding the suitability of the Irish legislation for TOP for FFA and its rapid introduction into clinical practice. It illustrates the importance of institutional and peer support, as well as the need for supportive management, in the provision of a new service. Tweetable abstract: The implementation of termination services for fatal fetal anomaly is complex and requires institutional support

Sepsis patients with first and second-hit infections show different outcomes depending on the causative organism

Objective. With improving rates of initial survival in severe sepsis, second-hit infections that occur following resolution of the primary insult carry an increasing burden of morbidity. However, despite the clinical relevance of these infections, no data are available on differential outcomes in patients with first and second-hit infections depending on the nature of the causative organism. This study aims to explore any differences in these subgroups. Design. In a retrospective, observational cohort study, the United Kingdom Intensive Care National Audit and Research Centre (ICNARC) database was used to explore the outcomes of patient with first-hit infections leading to sepsis, and sepsis patients with second-hit infections grouped according to the Gram status of the causative organism. Setting. General critical care units in England, Wales, and Northern Ireland participating in the ICNARC programme between 1 January 2007 – 30 June 2012. Patients. Patient groups analysed included 2119 patients with and 1319 patients without sepsis who developed an intensive care unit acquired infection in blood. Subgroups included patients with trauma, emergency neurosurgical, elective surgical, and cardiogenic shock. Measurements and main results. Gram-negative organisms were associated with poorer outcomes in first-hit infections. The 90-day mortality of patients who developed a Gram-negative infection was 43.6% following elective surgery and 27.9% following trauma. This compared with a mortality of 25.6% and 20.6%, respectively, in Gram-positive infections. Unexpectedly, an inverse relationship between Gram status and mortality was observed in second-hit infections. Patients with an initial diagnosis of sepsis who developed secondary infections caused by Gram-negative organisms had a 90-day mortality of 40.4%, compared with 43.6% in Gram-positive infections. Conclusions. Our study identifies a fundamental difference in patient outcomes between first-hit and second-hit bacterial infections, which may be due to genetic, microbiological, immunological, and environmental factors. This finding has direct implications for risk stratification and defines future research priorities