Finding Nursing in the Room from Accelerometers and Audio on Mobile Sensors

In this paper, we propose a method for finding intervals of nursing activities from accelerometers and audio on mobile sensors which are attached to nurses in reality. If we can find the intervals of nursing activities correctly, it helps the data to be used for machine learning for activity recognition. We have extracted the times of nursing interactions between nurses and patients by A) recognize walking activity from accelerometers, B) recognize if s/he is in the patient’s room or not at each time duration divided by walking activities, from the environmental noise levels of sounds, and, C) for the du- ration where s/he is assumed to be in the patient’s room, apply voice activity detection by fundamental frequencies using Cepstrum method, and extract the duration in which a person speaks. As a result of the experience for 300sec of sensor data, we observed sufficient accuracy for each step of A)-C), and could reduce the time to 8%.Third International Workshop on Location Awareness for Mixed and Dual Reality (LAMDa’13), In Conjunction with the International Conference on Intelligent User Interfaces (IUI’13), March 19th, 2013, Santa Monica, California, US

Nursing Activity Sensing Using Mobile Sensors and Proximity Sensors

In recent years, big data are utilized in many industries.In this study, in order to analyze duties of thenurses, we performed experiments to collect the dutiesactivity data of the nurses for a long term. Weset 38 nurses as subjects and asked them to carry outduties while attaching a wearable small sensor device,and collected the acceleration data, meeting informationbetween nurses and the nurse duties information.In addition, we collected the location information of the nurses by using infrared information and communication equipment at the same time. From various data collected, we analyzed intensity and positional information of duties activity of the nurse, meeting information and the duties information between nurses and considered the influence that each factor affected to the nurse. As the result, we found that intensity of the activity increases in such nurses as who has many times of meeting with other nurses, visits the patient room many times, or who works on jobs concerning with the assistance of the patients such as rehabilitation assistance duties or the activity assistance dutiesThe 47th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS\u2715), December 5-8, 2015, Waikiki Beach Marriott Resort & Spa, Hawaii, US

Portable Health Clinic Packages for BoP

The 14th World Congress on Medical and Health Informatics(Medinfo2013), 20-23 August, 2013,Copenhagen, Denmar

Impact of a learning health system on acute care and medical complications after intracerebral hemorrhage

Introduction: Patients with stroke often experience pneumonia during the acute stage after stroke onset. Oral care may be effective in reducing the risk of stroke‐associated pneumonia (SAP). We aimed to determine the changes in oral care, as well as the incidence of SAP, in patients with intracerebral hemorrhage, following implementation of a learning health system in our hospital. Methods: We retrospectively analyzed the data of 1716 patients with intracerebral hemorrhage who were hospitalized at a single stroke center in Japan between January 2012 and December 2018. Data were stratified on the basis of three periods of evolving oral care: period A, during which conventional, empirically driven oral care was provided (n = 725); period B, during which standardized oral care was introduced, with SAP prophylaxis based on known risk factors (n = 469); and period C, during which oral care was risk‐appropriate based on learning health system data (n = 522). Logistic regression analysis was performed to evaluate associations between each of the three treatment approaches and the risk of SAP. Results: Among the included patients, the mean age was 71.3 ± 13.6 years; 52.6% of patients were men. During the course of each period, the frequency of oral care within 24 hours of admission increased (P < .001), as did the adherence rate to oral care ≥3 times per day (P < .001). After adjustment for confounding factors, a change in the risk of SAP was not observed in period B; however, the risk significantly decreased in period C (odds ratio 0.61; 95% confidence interval 0.43‐0.87) compared with period A. These associations were maintained for SAP diagnosed using strict clinical criteria or after exclusion of 174 patients who underwent neurosurgical treatment. Conclusions: Risk‐appropriate care informed by the use of learning health system data could improve care and potentially reduce the risk of SAP in patients with intracerebral hemorrhage in the acute stage

An Affordable, Usable and Sustainable Preventive Healthcare System for Unreached People in Bangladesh

Medinfo2013-The 14th World Congress on Medical and Health Informatics, August 19-23, 2013, Copenhagen, Denmar

Health Checkup and Telemedical Intervention Program for Preventive Medicine in Developing Countries: Verification Study

Background: The prevalence of non-communicable diseases is increasing throughout the world, including developing countries. / Objective: The intent was to conduct a study of a preventive medical service in a developing country, combining eHealth checkups and teleconsultation as well as assess stratification rules and the short-term effects of intervention. / Methods: We developed an eHealth system that comprises a set of sensor devices in an attaché case, a data transmission system linked to a mobile network, and a data management application. We provided eHealth checkups for the populations of five villages and the employees of five factories/offices in Bangladesh. Individual health condition was automatically categorized into four grades based on international diagnostic standards: green (healthy), yellow (caution), orange (affected), and red (emergent). We provided teleconsultation for orange- and red-grade subjects and we provided teleprescription for these subjects as required. / Results: The first checkup was provided to 16,741 subjects. After one year, 2361 subjects participated in the second checkup and the systolic blood pressure of these subjects was significantly decreased from an average of 121 mmHg to an average of 116 mmHg (P<.001). Based on these results, we propose a cost-effective method using a machine learning technique (random forest method) using the medical interview, subject profiles, and checkup results as predictor to avoid costly measurements of blood sugar, to ensure sustainability of the program in developing countries. / Conclusions: The results of this study demonstrate the benefits of an eHealth checkup and teleconsultation program as an effective health care system in developing countries

Unlinkability and Real World Constraints in RFID Systems

Unlinkability, the property that prevents an adversary recognizing whether outputs are from the same user, is an important concept in RFID. There are many proposed schemes that provide unlinkability, however most of the schemes don’t consider constraints of the real world. In this paper, we discuss the unlinkability and the real world constraints in RFID systems, and simulate the attack by an adversary. The simulation results show the real world constraints have possibility that break the unlinkability. We also analyze the simulation results from three viewpoints. 1

Location Recognition in RFID Bookshelves

We consider RFID bookshelves, which detect the location of books using RFID. An RFID bookshelf has the antennas of RFID readers in the boards, and detects the location of an RFID tag attached to a book. However, the accuracy is not good with the experience of the existing system, and sometimes reads the tag of the next or even further area. In this paper, we propose a method to improve the location detection using naive Bayes classifer, and show the experimental result. We obtained 78.6% of F-measure for total 12658 instances, and show the advantage against the straightforward approach of calculating the center of gravity of the read readers. More importantly, we show the performance is less dependent of a change of layouts and a difference of books by leave-1-layout/book-out cross validation. This is favorable for the feasibility in library operation