The Design and Implementation of Intelligent Labor Contraction Monitoring System based on Wearable Internet of Things

In current clinical practice, pregnant women who have entered 37 weeks cannot correctly judge whether they are in labor based on their subjective feelings. Wrong judgment of labor contraction can lead to adverse pregnancy outcomes and endanger the safety of mothers and babies. It will also increase the healthcare pressure in the hospital and the healthcare efficiency is reduced. Therefore, it is very meaningful to be able to design a system for monitoring labor contraction based on objective data to assist pregnant women who have entered 37 weeks in deciding the suitable time to go to hospital. For the above requirements, this thesis designs and implements an intelligent labor contraction monitoring system based on wearable Internet of Things. The system combines the Internet of Things technology, wearable technology and machine learning technology to collect contraction data through wearable sensing device. It uses the Long Short-Term Memory (LSTM) neural network to classify and identify the collected contraction data and realize real-time processing. It improves the accuracy of model recognition to 93.75%. And the recognition results are fed back to the WeChat applet so that pregnant women can view them in real time. The prototype of the wearable sensing device has been integrated by 3D printing and the proof-of-concept system has been demonstrated. Pregnant women can use this system to detect the contraction status and view the contractions in real time through the WeChat applet results. They can judge whether it is suitable for labor, and this system assists in making decisions about the best time to go to hospital

Smart vest for respiratory rate monitoring of COPD patients based on non-contact capacitive sensing

In this paper, a first approach to the design of a portable device for non-contact monitoring of respiratory rate by capacitive sensing is presented. The sensing system is integrated into a smart vest for an untethered, low-cost and comfortable breathing monitoring of Chronic Obstructive Pulmonary Disease (COPD) patients during the rest period between respiratory rehabilitation exercises at home. To provide an extensible solution to the remote monitoring using this sensor and other devices, the design and preliminary development of an e-Health platform based on the Internet of Medical Things (IoMT) paradigm is also presented. In order to validate the proposed solution, two quasi-experimental studies have been developed, comparing the estimations with respect to the golden standard. In a first study with healthy subjects, the mean value of the respiratory rate error, the standard deviation of the error and the correlation coefficient were 0.01 breaths per minute (bpm), 0.97 bpm and 0.995 (p < 0.00001), respectively. In a second study with COPD patients, the values were -0.14 bpm, 0.28 bpm and 0.9988 (p < 0.0000001), respectively. The results for the rest period show the technical and functional feasibility of the prototype and serve as a preliminary validation of the device for respiratory rate monitoring of patients with COPD.Ministerio de Ciencia e Innovación PI15/00306Ministerio de Ciencia e Innovación DTS15/00195Junta de Andalucía PI-0010-2013Junta de Andalucía PI-0041-2014Junta de Andalucía PIN-0394-201

Mimo pillow : an intelligent cushion designed with maternal heart beat vibrations for comforting newborn infants

Premature infants are subject to numerous interventions ranging from a simple diaper change to surgery while residing in Neonatal Intensive Care Units (NICUs). These neonates often suffer from pain, distress and discomfort during the first weeks of their lives. Although pharmacological pain treatment often is available, it cannot always be applied to relieve a neonate from pain or discomfort. This paper describes a non-pharmacological solution, called Mimo, which provides comfort through mediation of a parent's physiological features to the distressed neonate via an intelligent pillow system embedded with sensing and actuating functions. We present the design, the implementation and the evaluation of the prototype. Clinical tests at Máxima Medical Centre in the Netherlands show that among the 9 of 10 infants who showed discomfort following diaper change, a shorter recovery time to baseline Skin Conductance Analgesimeter (SCA) values could be measured when the maternal heartbeat vibration in the Mimo was switched on and in 7 of these 10 a shorter crying time was measure

A Novel smart jacket for blood pressure measurement based on shape memory alloys

Smart textiles with medical applications offer the possibility of continuous and non-invasively monitoring which benefit patients and doctors. To measure blood pressure in premature infants a miniature actuator that can be sewn to the fabric is required. For this reason, an actuator based on shape memory alloys has been designed so that it compresses as a conventional air cuff but with 3.5W power consumption and can be controlled by applying different Pulse-Width Modulation (PWM) signals, thus offering several levels of compression. In addition, the first concept prototype of the smart jacket is achieved; made of a natural fiber fabric that incorporates: an optical sensor, a capacitive pressure sensor with great accuracy, the force actuator and a Lilypad Simblee control board which can be sewn to the fabric, is washable and has a Low Energy Bluetooh module (BBE) to connect to other devices. All this allows the systolic, diastolic and cardiac pressure to be measured for the first time in the world with the smart jacket by a semi-occlusive method. Altogether with a mobile application which allows doctors to monitor the patient at every moment, perform remote control, data measurement and recording in a comfortable and intuitive way that satisfies the necessity for a better clinical management to the growing number of patients and is a source of savings for the clinical services

Mimo : a non-pharmacological comforting solution for preterm neonates

Preterm neonates often suffer from pain, distress and discomfort during the first weeks of their lives. While residing in special Neonatal Intensive Care Units (NICUs) that are designed for optimal care, they are subject to numerous interventions ranging from a simple diaper change to surgery. Although pharmacological pain treatment often is available, it cannot always be applied to relieve a neonate from pain or discomfort. Therefore, new non-pharmacological solutions are required to reduce the discomfort experienced by these babies during the first weeks of their lives. This paper describes a novel solution, called Mimo, that provides comfort through mediation of a parent’s physiological features to the distressed neonate. We discuss the design and the implementation and pilot-evaluation of a first prototype. Results show that the concept is promising enough to pursue a full-scale clinical trial