In this paper, the washability of wearable textronic (textile-electronic) devices has been studied. Two different approaches aiming at designing, producing, and testing robust washable and reliable smart textile systems are presented. The common point of the two approaches is the use of flexible conductive PCB in order to interface the miniaturized rigid (traditional) electronic devices to conductive threads and tracks within the textile flexible fabric and to connect them to antenna, textile electrodes, sensors, actuators, etc. The first approach consists in the use of TPU films (thermoplastic polyurethane) that are deposited by the press under controlled temperature and pressure parameters in order to protect the conductive thread and electrical contacts. The washability of conductive threads and contact resistances between flexible PCB and conductive threads are tested. The second approach is focused on the protection of the whole system—composed of a rigid electronic device, flexible PCB, and textile substrate—by a barrier made of latex. Three types of prototypes were realized and washed. Their reliabilities are studied.

The needs for light-weight and soft smart clothing in homecare have been rising since the past decade. Many smart textile sensors have been developed and applied to automatic physiological and user-centered environmental status recognition. In the present study, we propose wearable multi-sensor smart clothing for homecare monitoring based on an economic fabric electrode with high elasticity and low resistance. The wearable smart clothing integrated with heterogeneous sensors is capable to measure multiple human biosignals (ECG and respiration), acceleration, and gyro information. Five independent respiratory signals (electric impedance plethysmography, respiratory induced frequency variation, respiratory induced amplitude variation, respiratory induced intensity variation, and respiratory induced movement variation) are obtained. The smart clothing can provide accurate respiratory rate estimation by using three different techniques (Naïve Bayes inference, static Kalman filter, and dynamic Kalman filter). During the static sitting experiments, respiratory induced frequency variation has the best performance; whereas during the running experiments, respiratory induced amplitude variation has the best performance. The Naïve Bayes inference and dynamic Kalman filter have shown good results. The novel smart clothing is soft, elastic, and washable and it is suitable for long-term monitoring in homecare medical service and healthcare industry.

Background Exercise training has positive effects on the management of cardiometabolic conditions. Little is known about the effectiveness of home-based telehealth exercise training programs among patients with cardiometabolic multimorbidity, which is associated with functional decline and decreased health-related quality of life. Objective The aim of this study was to determine the effectiveness of a 12-week home-based telehealth exercise training program designed to increase physical activity and exercise capacity and improve health-related quality of life in patients with cardiometabolic multimorbidity. Methods A randomized controlled trial was conducted. Fifty eligible patients with 2 or more cardiometabolic conditions from outpatient clinics of a medical center in Northern Taiwan were randomized to either an experimental group (EG; received a 12-week home-based telehealth exercise training program) or a control group (CG; maintained usual lifestyles). The home-based telehealth exercise training program consisted of 36 individualized home-based exercise training sessions and a weekly reminder for maintenance of exercise and providing patient support. Amounts of physical activity, exercise capacity, and health-related quality of life were assessed at baseline and 12 weeks. Generalized estimating equations were used to examine the intervention effects via the interaction of time and group. Results The EG had higher amounts of physical activity (β = 1333, P = .004) and moderate-intensity physical activity (β = 330, P = .04) than the CG after the intervention. The EG had increased exercise capacity (VO2peak, β = 4.43, P = .04), as well as improved health-related quality of life (physical function, β = 7.55, P = .03; and physical component summary, β = 4.42, P = .03) compared with those in the CG. Conclusions A 12-week home-based telehealth exercise training program is feasible and effective in increasing amounts of physical activity, elevating exercise capacity, and improving health-related quality of life in patients with cardiometabolic multimorbidity.