Patient Centered Real-Time Mobile Health Monitoring System

In this paper, we introduce a system architecture for a patient centered mobile health monitoring (PCMHM) system that deploys different sensors to determine patients’ activities, medical conditions, and the cause of an emergency event. This system combines and analyzes sensor data to produce the patients’ detailed health information in real-time. A central computational node with data analyzing capability is used for sensor data integration and analysis. In addition to medical sensors, surrounding environmental sensors are also utilized to enhance the interpretation of the data and to improve medical diagnosis. The PCMHM system has the ability to provide on-demand health information of patients via the Internet, track real-time daily activities and patients’ health condition. This system also includes the capability for assessing patients’ posture and fall detection.

Home Automation Device Protocol (HADP): A Protocol Standard for Unified Device Interactions

Daily activities have become more efficient and convenient with home automation. There are many different home automation devices in the market for consumers to enjoy their home for being smarter, resourceful, and remotely accessible. However, current home automation protocols lack extensibility and compatibility. In this paper, we propose a protocol standard for home automation system called Home Automation Device Protocol (HADP). This protocol standard aims for the interoperability of home automation devices across different platforms. Based on the IFTTT (IF-This-Then-That) model, we define a set of device communication protocols where devices’ triggers and actions are combined to generate and manage interactions through a central node. The proposed protocol standard offers low power consumption and low bandwidth requirements using the minimum data packets to trigger an action on a home automation device. The protocol supports various communication mediums such as Wi-Fi, Bluetooth 4.2, ZigBee IP, 6LoWPAN, IEEE 802.15.4 standards, and Ethernet orany network layer supporting IPv6 protocol.

System Architecture and Design Flow of Smart Mobile Sensing Systems

This study presents the architecture and design flow of smart mobile sensing systems that performs wireless sensor data transmission, data analysis and display in real-time. Multiple wireless protocols are used for sensor data transmission including the Bluetooth, cellular data network and Wi-Fi for Internet access, and Near Field Communication (NFC). An Android smartphone is utilized to demonstrate the design concept of an Intelligent Personal Communication Node (iPCN) and to perform real-time sensor data acquisition, processing, analysis, display and transmission. Tested sensors include acceleration, temperature, electrocardiography (ECG) and phonocardiography (PCG). For computational capability tests, we have observed the signal processing performance of the smartphone by implementing fast Fourier transform (FFT) of the received ECG signal, and QRS detection algorithm for spontaneous heart beat rate (HBR) estimation. This system has also been tested for multiple sensor node communication and on-demand sensor data acquisition. The smart mobile sensing system can also be applied to any environment that requires real-time sensing and wireless remote monitoring.