Browsing by Author "Liu, Jianbo"
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- Item2B-Alert App: A mobile application for real-time individualized prediction of alertness.(0000-00-00) Reifman, Jaques; Ramakrishnan, Sridhar; Liu, Jianbo; Kapela, Adam; Doty, Tracy J; Balkin, Thomas J; Kumar, Kamal; Khitrov, Maxim YKnowing how an individual responds to sleep deprivation is a requirement for developing personalized fatigue management strategies Here we describe and validate the 2B Alert App the first mobile application that progressively learns an individual s trait like response to sleep deprivation in real time to generate increasingly more accurate individualized predictions of alertness We incorporated a Bayesian learning algorithm within the validated Unified Model of Performance to automatically and gradually adapt the model parameters to an individual after each psychomotor vigilance test We implemented the resulting model and the psychomotor vigilance test as a smartphone application 2B Alert App and prospectively validated its performance in a 62 hr total sleep deprivation study in which 21 participants used the app to perform psychomotor vigilance tests every 3 hr and obtain real time individualized predictions after each test The temporal profiles of reaction times on the app conducted psychomotor vigilance tests were well correlated with and as sensitive as those obtained with a previously characterized psychomotor vigilance test device The app progressively learned each individual s trait like response to sleep deprivation throughout the study yielding increasingly more accurate predictions of alertness for the last 24 hr of total sleep deprivation as the number of psychomotor vigilance tests increased After only 12 psychomotor vigilance tests the accuracy of the model predictions was comparable to the peak accuracy obtained using all psychomotor vigilance tests With the ability to make real time individualized predictions of the effects of sleep deprivation on future alertness the 2B Alert App can be used to tailor personalized fatigue management strategies facilitating self management of alertness and safety in operational and non operational settings
- ItemIs heart rate variability better than routine vital signs for prehospital identification of major hemorrhage?(2014-12-23) Edla, Shwetha; Reisner, Andrew T; Liu, Jianbo; Convertino, Victor A; Carter, Robert; Reifman, JaquesDuring initial assessment of trauma patients metrics of heart rate variability HRV have been associated with high risk clinical conditions Yet despite numerous studies the potential of HRV to improve clinical outcomes remains unclear Our objective was to evaluate whether HRV metrics provide additional diagnostic information beyond routine vital signs for making a specific clinical assessment identification of hemorrhaging patients who receive packed red blood cell PRBC transfusion
- ItemPC-PVT 2.0: An updated platform for psychomotor vigilance task testing, analysis, prediction, and visualization.(0000-00-00) Reifman, Jaques; Kumar, Kamal; Khitrov, Maxim Y; Liu, Jianbo; Ramakrishnan, SridharBACKGROUND The psychomotor vigilance task PVT has been widely used to assess the effects of sleep deprivation on human neurobehavioral performance To facilitate research in this field we previously developed the PC PVT a freely available software system analogous to the gold standard PVT 192 that in addition to allowing for simple visual reaction time RT tests also allows for near real time PVT analysis prediction and visualization in a personal computer PC NEW METHOD Here we present the PC PVT 2 0 for Windows 10 operating system which has the capability to couple PVT tests of a study protocol with the study s sleep wake and caffeine schedules and make real time individualized predictions of PVT performance for such schedules We characterized the accuracy and precision of the software in measuring RT using 44 distinct combinations of PC hardware system configurations RESULTS We found that 15 system configurations measured RTs with an average delay of less than 10 ms an error comparable to that of the PVT 192 To achieve such small delays the system configuration should always use a gaming mouse as the means to respond to visual stimuli We recommend using a discrete graphical processing unit for desktop PCs and an external monitor for laptop PCs COMPARISON WITH EXISTING METHOD This update integrates a study s sleep wake and caffeine schedules with the testing software facilitating testing and outcome visualization and provides near real time individualized PVT predictions for any sleep loss condition considering caffeine effects CONCLUSIONS The software with its enhanced PVT analysis visualization and prediction capabilities can be freely downloaded from https pcpvt bhsai org
- ItemThe Rise and Need for Mobile Apps for Maternal and Child Health Care in China: Survey Based on App Markets.(0000-00-00) Zhang, Puhong; Dong, Le; Chen, Huan; Chai, Yanling; Liu, JianboBACKGROUND Mobile health services are thriving in the field of maternal and child health in China due to expansions in the field of electronic health and the introduction of the two child policy There are numerous maternal and child health apps in computer stores but the exact number of apps number of downloads and features of these apps is not known OBJECTIVE This study aimed to explore the use of maternal and child health apps in Android and iOS app stores and to describe the key functional features of the most popular apps with the purpose of providing insight into further research and development of maternal and child health mobile health products METHODS The researchers conducted a search in the 3 most popular Android app stores Tencent MyApp Baidu Mobile Assistant and 360 Mobile Assistant and the iTunes App Store in China All apps regarding family planning contraception and preparing for pregnancy pregnancy and perinatal care neonatal care and health and development for children under 6 years were included in the initial analysis Maternal and child health mobile apps with predominant features of product marketing children s songs animation or games were excluded from the study The 50 most frequently used apps in each of the Android stores as well as the iTunes store a total of 78 deduplicated apps were selected and downloaded for an in depth analysis RESULTS A total of 5276 Android apps and 877 iOS apps developed for maternal and child health care were identified Of the 78 most frequently used apps 43 55 apps focused on one stage of MCH care mainly targeting child care 25 apps and before pregnancy care 11 apps whereas 35 45 of the apps covered 2 or more stages most of which 32 apps included both pregnancy and child care services The app features that were commonly adopted by the popular apps were health education communication health status self monitoring a diary reminders and counseling Within the app feature of health status self monitoring the researchers found 47 specific tools supporting activities such as pregnancy preparation fetal heart monitoring blood glucose and blood pressure monitoring and doctor visits A few apps were equipped with external devices n 3 or sensors No app with intelligent decision support features to support disease management for conditions such as gestational diabetes and pregnancy induced hypertension was found A small number of apps n 5 had a Web connection with hospital information systems to support appointment making payments hospital service guidance or checking of laboratory results CONCLUSIONS There are thousands of maternal and child health apps in the Chinese market Child care pregnancy and before pregnancy were the mostly covered maternal and child health stages in that order Various app features and tools were adopted by maternal and child health apps but the use of internal or external sensors intelligent decision support and tethering with existing hospital information systems was rare and these features need more research and development
- ItemTachycardic and non-tachycardic responses in trauma patients with haemorrhagic injuries.(0000-00-00) Reisner, Andrew T; Edla, Shwetha; Liu, Jianbo; Liu, Jiankun; Khitrov, Maxim Y; Reifman, JaquesBACKGROUND Analyses of large databases have demonstrated that the association between heart rate HR and blood loss is weaker than what is taught by Advanced Trauma Life Support training However those studies had limited ability to generate a more descriptive paradigm because they only examined a single HR value per patient METHODS In a comparative retrospective analysis we studied the temporal characteristics of HR through time in adult trauma patients with haemorrhage based on documented injuries and transfusion of 3 units of red blood cells RBCs We analysed archived vital sign data of up to 60 min during either pre hospital or emergency department care RESULTS We identified 133 trauma patients who met the inclusion criteria for major haemorrhage and 1640 control patients without haemorrhage There were 55 haemorrhage patients with a normal median HR and 78 with tachycardia Median HR was 0 8 and 0 7 bpm per 10 min respectively Median time to documented hypotension was 8 and 5 min respectively RBCs were not significantly different median volumes were 6 IQR 4 13 and 10 units IQR 5 16 respectively Time to hypotension and mortality were not significantly different Tachycardic patients were significantly younger P Under 0 05 Only 10 patients with normal HR developed transient temporary tachycardia and only 11 tachycardic patients developed a transient temporary normal HR CONCLUSIONS The current analysis suggests that some trauma patients with haemorrhage are continuously tachycardic while others have a normal HR For both cohorts hypotension typically develops within 30 min without any consistent temporal increases or trends in HR