Sang-Joong Jung

Wireless Machine-to-Machine Healthcare Solution Using Android Mobile Devices in Global Networks

This paper presents a prototype machine-to-machine (M2M) healthcare solution that combines mobile and IPv6 techniques in a wireless sensor network to monitor the health condition of patients and provide a wide range of effective, comprehensive, and convenient healthcare services. A low-power embedded wearable sensor measures the health parameters dynamically, and is connected, according to the concept of IPv6 over low-power wireless personal area network, to the M2M node for wireless transmission through the internet or external IP-enabled networks via the M2M gateway. A visualization module of the server program graphically displays the recorded biomedical signals on Android mobile devices used by patients and doctors at the end of the networks in real-time. Our approach for a global M2M healthcare solution is managed to process the large amount of biomedical signals through the extended network combining IPv6 technique and mobile technology for daily lifestyle to users appropriately.

Real time car driver's condition monitoring system

Drivers drowsiness and fatigue have been major causes of the serious traffic accidents, which make this an area of great socioeconomic concern. This paper describes the design of ECG (Electrocardiogram) sensor with conductive fabric electrodes and PPG (Photoplethysmogram) sensor to obtain physiological signals for car drivers health condition monitoring. ECG and PPG signals are transmitted to base station connected to the server PC via personal area network for practical test. Intelligent health condition monitoring system is designed at the server to analyze the PPG and ECG signals. Our purpose for intelligent health condition monitoring system is managed to process HRV signals analysis derived from the physiological signals in time and frequency domain and to evaluate the drivers drowsiness status.

A new approach to design ambient sensor network for real time healthcare monitoring system

An advanced ubiquitous healthcare monitoring system is proposed with the aid of wireless sensor network based on the IEEE 802.15.4 standard relay sensor nodes. In this work, wearable healthcare devices are used to measure the human body vital signs, while relay sensor nodes are installed at the rooms ceiling to transfer the patients vital signs to the desktop or mobile. Our proposed architecture had utilized the advantages of wireless sensor network where stationary relay sensor nodes installed at the ceiling manage to transfer an amount of vital signs in real time to the server PC through the connected gateway by concerning the signals traffic problem in mind. Therefore, the proposed system had deal with the mobility and transmission reliability issues faced by the healthcare system. Old-fashionable healthcare system that consumes a lot of power during transmission had been replaced with low power consumption relay sensor nodes with wider communication zone available.

Non-Intrusive Healthcare System in Global Machine-to-Machine Networks

A global machine-to-machine (M2M) healthcare system is proposed to monitor patients health conditions using wearable physiological sensors. This system has the potential of providing excellent accessibility to international as well as intercity healthcare services using the concept of IPv6 over low-power wireless personal area networks (6LoWPANs) in a hierarchical network structure. Non-intrusive low-power embedded wearable sensors are designed to dynamically measure health parameters and are connected to the M2M node for wireless transmission through the internet or external IP-enabled networks via the M2M gateway. Practical tests are conducted using the M2M gateway with the IEEE 802.15.4 and the 6LoWPAN protocol in the internal and external networks environments. In addition, the physical health state is estimated by the heart rate variability analysis in the time and frequency domains to gauge the activity of the autonomic nervous system and consequently provide a stress level to the server. Our approaches for the global M2M healthcare system are managed to process the large amount of physiological signals with the network evaluation and to obtain the stress index and autonomic balance diagram of patients health conditions.

Highly sensitive driver condition monitoring system using nonintrusive active electrodes

Highly sensitive driver condition monitoring system using nonintrusive active electrodes is proposed. The position and size of electrode pairs are controlled to get optimal ECG signal and signal conditioning circuit is designed to depress noises.

Wide and high accessible mobile healthcare system in IP-based wireless sensor networks

A mobile healthcare system using the Android-based smartphone is successfully implemented in the IP-based wireless sensor networks with the help of the IPv6 technique. The IP-based wireless sensor networks provide a wide range of effective, comprehensive, and convenient healthcare services through the internet or external IP-enabled networks to the IP node via the gateway according to the concept of IPv6 over low-power wireless personal area networks (6LoWPAN). In addition, the Android-based smartphone used by patients and doctors at the end of the networks in real-time displays the recorded biomedical signals as well as information of health conditions. Based on these results from practical experiments, the estimations of patients health condition are processed by using the heart rate variability analysis in time and frequency domains under the normal and stressed states. In addition, the monitoring application on the smartphone provides useful information such as the waveforms of the 100-Hz ECG signal and 75-Hz PPG signal, sensor type, data bytes, the IPv6 address, and health features.

Real time biomedical signal transmission of mixed ECG Signal and patient information using visible light communication

The utilization of radio-frequency (RF) communication technology in healthcare application, especially in the transmission of health-related data such as biomedical signal and patient information is often perturbed by electromagnetic interference (EMI). This will not only significantly reduce the accuracy and reliability of the data transmitted, but could also compromise the safety of the patients due to radio frequency (RF) radiation. In this paper, we propose a method which utilizes visible light communication technology as a platform for transmission and to provide real-time monitoring of heart rate and patient information. White LED beam is used as the illuminating source to simultaneously transmit biomedical signal as well as patient record. On-off Keying (OOK) modulation technique is used to modulate all the data onto the visible light beam. Both types of data will be transmitted using a single data packet. At the receiving end, a receiver circuit consisting of a high-speed PIN photodetector and a demodulation circuit is employed to demodulate the data from the visible light beam. The demodulated data is then serially transmitted to a personal computer where the biomedical signal, patient information and heart rate can be monitored in real-time.

Non-Intrusive Healthcare System for Estimation of Vascular Condition in IP-Enabled Wireless Network

Abstract A real-time wireless monitoring and analysis methods using the wearable PPG sensor to estimate cardiovascular condition is studiedfor ubiquitous healthcare service. A small size and low-power consuming wearable photoplethysmogram (PPG) sensor is designed as awrist type device and connected with the IP node assigned its own IPv6 address. The measured PPG waveform in the IP node is collectedand transferred to a central server PC through the IP-enabled wireless network for storage and analysis purposes. A monitoring andanalysis program is designed to process the accelerated plethysmogram (APG) waveform by applying the second order derivatives toanalyze systolic waves as well as heart rate variability analysis from the measured PPG waveform. From our results, the features ofcardiovascular condition from individuals PPG waveform and estimation of vascular compliance by the comparison of APG-aging index(AI) and ratio of LF/HF are demonstrated. Keywords : Wearable PPG sensor, Accelerated plethysmogram waveform, Heart rate variability, Vascular compliance, Aging index,IP-enabled wireless network

P1.9.29 Global Machine-to-Machine Sensor Network for Wide Area Healthcare Service

The global machine-to-machine (M2M) network is proposed to support wide area healthcare service using the concept of IPv6 over low power wireless personal area (6LoWPAN). This network can give international healthcare services between countries and intercity healthcare services between cities with the excellent accessibility in a hierarchical network structure. Low power embedded wearable sensors are designed to measure health parameters dynamically and connected to the M2M node for wireless transmission through the internet or external IP enable networks via the M2M gateway. Practical tests were conducted by the M2M gateway with the effective use of IEEE 802.15.4 and the 6LoWPAN protocol in wide area. The physical health state is estimated by the heart rate variability analysis in time and frequency domain with the significant information of autonomic nervous system in the server. Our approach for the global M2M network is managed to process the large amount of biomedical signals through the 6LoWPAN and internet accurately. Patients may comfortably monitor their own health condition regardless of the place in the global M2M network environment.