Technical, Regulatory, Economic, and Trust Issues Preventing Successful Integration of Sensors into the Mainstream Consumer Wearables Market.

Sensors that track physiological biomarkers of health must be successfully incorporated into a fieldable, wearable device if they are to revolutionize the management of remote patient care and preventative medicine. This perspective article discusses logistical considerations that may impede the process of adapting a body-worn laboratory sensor into a commercial-integrated health monitoring system with a focus on examples from sleep tracking technology.

Classification of Covid-19 Patients Requiring Intensive Care Unit

As the world faced the covid-19 pandemic, there was a surge in the number of patients that overwhelmed many hospitals. Due to the limited number of Intensive Care Units (ICUs), some hospitals also find it difficult to meet ICU needs for covid-19 patients. So there is a need to set priorities for patients who really need to get treatment in ICU. In this paper, a classification modelling of Covid-19 patients requiring ICU was carried out using Support Vector Machine (SVM) algorithm. The data used to build the model was data from Mexican government obtained from the Kaggle website. Tests were carried out on 3 types of SVM kernels, namely Linear Kernel, Polynomial Kernel, and Gaussian RBF Kernel toward dataset before and after balancing process. From the results of validation testing using 3-fold and 5-fold cross validation, the best accuracy of 87.1055% was obtained using the three kernels toward dataset without balancing. © 2021 IEEE.

Assessment of Prorated Scoring of an Abbreviated Protocol for the National Institutes of Health Toolbox Cognition Battery.

OBJECTIVE: To evaluate an abbreviated NIH Toolbox Cognition Battery (NIHTB-CB) protocol that can be administered remotely without any in-person assessments, and explore the agreement between prorated scores from the abbreviated protocol and standard scores from the full protocol. METHODS: Participant-level age-corrected NIHTB-CB data were extracted from six studies in individuals with a history of stroke, mild traumatic brain injury (mTBI), treatment-resistant psychosis, and healthy controls, with testing administered under standard conditions. Prorated fluid and total cognition scores were estimated using regression equations that excluded the three fluid cognition NIHTB-CB instruments which cannot be administered remotely. Paired t tests and intraclass correlations (ICCs) were used to compare the standard and prorated scores. RESULTS: Data were available for 245 participants. For fluid cognition, overall prorated scores were higher than standard scores (mean difference = +4.5, SD = 14.3; p < 0.001; ICC = 0.86). For total cognition, overall prorated scores were higher than standard scores (mean difference = +2.7, SD = 8.3; p < 0.001; ICC = 0.88). These differences were significant in the stroke and mTBI groups, but not in the healthy control or psychosis groups. CONCLUSIONS: Prorated scores from an abbreviated NIHTB-CB protocol are not a valid replacement for the scores from the standard protocol. Alternative approaches to administering the full protocol, or corrections to scoring of the abbreviated protocol, require further study and validation.