Investigation on factors related to poor CPAP adherence using machine learning: a pilot study.

To improve patients' adherence to continuous positive airway pressure (CPAP) therapy, this study aimed to clarify whether machine learning-based data analysis can identify the factors related to poor CPAP adherence (i.e., CPAP usage that does not reach four hours per day for five days a week).

Token Economy-Based Hospital Bed Allocation to Mitigate Information Asymmetry: Proof-of-Concept Study Through Simulation Implementation.

Background: Hospital bed management is an important resource allocation task in hospital management, but currently, it is a challenging task. However, acquiring an optimal solution is also difficult because intraorganizational information asymmetry exists. Signaling, as defined in the fields of economics, can be used to mitigate this problem.

Preliminary Evaluation of Market Mechanism-Based Bed Allocation System.

Effective bed management is important for hospital management. Until now, bed allocation process is generally controlled by administrative staffs in centralized manner but it is not always effective. In the present study, we proposed and evaluated new method for bed allocation applying market mechanism via token.

Early Nephrosis Detection Based on Deep Learning with Clinical Time-Series Data.

Nephrosis is disease characterized by abnormal protein loss from impaired kidney. We constructed early prediction model using machine learning from clinical time series data, that can predict onset of nephrosis for more than one month. Long short-term memory capable of recognizing temporal sequential data patterns, was adopted as early prediction model for nephrosis.

Understanding the Situated Roles of Electronic Medical Record Systems to Enable Redesign: Mixed Methods Study.

Background: Redesigning electronic medical record (EMR) systems is needed to improve their usability and usefulness. Similar to other artifacts, EMR systems can evolve with time and exhibit situated roles. Situated roles refer to the ways in which a system is appropriated by its users, that is, the unintended ways the users engage with, relate to, and perceive the system in its context of use.

Understanding the Roles of EMR Systems in Japanese Antenatal Care Settings.

Electronic Medical Records (EMR)s are intrinsic to modern-day clinics. Understanding the roles, i.e.

Designing an Authorization System Based on Patient Privacy Preferences in Japan.

High accessibility of Electronic Health Record systems can increase usability but creates simultaneously patients' anxieties about privacy issues. In order to reduce the privacy concerns, we focused on control and awareness, and designed an approach that can provide availability of patient's clinical data to doctors in two scenarios; (S1) direct control by the patient when they are conscious, (S2) control by a trusted representative when the patient is unconscious. In this paper, we show further analysis in a survey (n = 310, age range: 19-91) done to test the acceptability of our concept of a using a trusted representative and to further understand the concerns of Japanese citizens to improve our system design.

Applying NISHIJIN historical textile technique for e-Textile.

The e-Textile is the key technology for continuous ambient health monitoring to increase quality of life of patients with chronic diseases. The authors introduce techniques of Japanese historical textile, NISHIJIN, which illustrate almost any pattern from one continuous yarn within the machine weaving process, which is suitable for mixed flow production. Thus, NISHIJIN is suitable for e-Textile production, which requires rapid prototyping and mass production of very complicated patterns.

Smart sensing of cardiovascular physiological information from soles without direct skin contact.

This study proposes the development of a smart sensing measurement system using a mat-type sensor in order to obtain sole-electrocardiogram data from soles and toe-photoplethysmogram data from toes. In addition, the proposed measurement system can calculate pulse wave velocity from sole-ECG and toe-PPG. The subjective experiments revealed that the developed system can measure these parameters even when socks are being worn.

Body surface mounted biomedical monitoring system using Bluetooth.

Continuous monitoring in daily life is important for the health condition control of the elderly. However, portable or wearable devices need to carry by user on their own will. On the other hand, implantation sensors are not adoptable, because of generic users dislike to insert the any object in the body for monitoring.

E-healthcare at an experimental welfare techno house in Japan.

An automated monitoring system for home health care has been designed for an experimental house in Japan called the Welfare Techno House (WTH). Automated electrocardiogram (ECG) measurements can be taken while in bed, in the bathtub, and on the toilet, without the subject's awareness, and without using body surface electrodes. In order to evaluate this automated health monitoring system, overnight measurements were performed to monitor health status during the daily lives of both young and elderly subjects.

Low-cost, email-based system for self blood pressure monitoring at home.

We have developed a low-cost monitoring system, which allows subjects to send blood pressure (BP) data obtained at home to health-care professionals by email. The system consists of a wrist BP monitor and a personal computer (PC) with an Internet connection. The wrist BP monitor includes an advanced positioning sensor to verify that the wrist is placed properly at heart level.