Wireless Physiological Monitoring System Research Articles

Self-powered and wireless physiological monitoring system with integrated power supply and sensors

With the increase in people’s concern for personal health, the demand for convenient health monitoring electronics has grown noticeably. Wearable physiological sensors with multi-functionality and continuous power supply are constructed through system-level integration and delicate circuit design for energy management and low-power sensing. Energy harvested from body motion and solar or domestic lighting has great potential in powering wearable electronics, eliminating the need of batteries or plug-in power sources. Triboelectric nanogenerators readily fabricated with digital ink-jet printing display a high-power output of 30.96 mW/cm2 after integration with a flexible thin-film solar cell, which ensures unremitting work of the sensors. The self-powered physiological monitoring system can continuously monitor and wirelessly transmit the electrocardiogram, blood pressure, temperature, and motion parameters of the human in real-time without the need for an external power source, providing the wearer with a reliable monitoring means.

A non-contact flexible pyroelectric sensor for wireless physiological monitoring system

A non-contact flexible pyroelectric sensor for wireless physiological monitoring system

Wearable Wireless Physiological Monitoring System Based on Multi-Sensor

The purpose of wearable technology is to use multimedia, sensors, and wireless communication to integrate specific technology into user clothes or accessories. With the help of various sensors, the physiological monitoring system can collect, process, and transmit physiological signals without causing damage. Wearable technology has been widely used in patient monitoring and people’s health management because of its low-load, mobile, and easy-to-use characteristics, and it supports long-term continuous work and can carry out wireless transmissions. In this paper, we established a Wi-Fi-based physiological monitoring system that can accurately measure heart rate, body surface temperature, and motion data and can quickly detect and alert the user about abnormal heart rates.

Is 50 Hz high enough ECG sampling frequency for accurate HRV analysis?

With the worldwide growth of mobile wireless technologies, healthcare services can be provided at anytime and anywhere. Usage of wearable wireless physiological monitoring system has been extensively increasing during the last decade. These mobile devices can continuously measure e.g. the heart activity and wirelessly transfer the data to the mobile phone of the patient. One of the significant restrictions for these devices is usage of energy, which leads to requiring low sampling rate. This article is presented in order to investigate the lowest adequate sampling frequency of ECG signal, for achieving accurate enough time domain heart rate variability (HRV) parameters. For this purpose the ECG signals originally measured with high 5 kHz sampling rate were down-sampled to simulate the measurement with lower sampling rate. Down-sampling loses information, decreases temporal accuracy, which was then restored by interpolating the signals to their original sampling rates. The HRV parameters obtained from the ECG signals with lower sampling rates were compared. The results represent that even when the sampling rate of ECG signal is equal to 50 Hz, the HRV parameters are almost accurate with a reasonable error.

Low-power scheduling scheme for wireless physiological monitoring system

Based on Ultra-WideBand(UWB) Body Area Network(BAN) and heterogeneous biosensors,a kind of wireless physiological monitoring system was designed,which could acquire and process multiple physiological signals.For reducing the total energy consumption,a low-power scheduling scheme was further proposed so as to provide long-term continuous sensing for wearer's health and safety.According to the physiological state machine of the monitoring system,a coordinator could adaptively determine the biosensor set for next monitoring cycle,and those selected biosensors can cooperatively process the heterogeneous data.The simulation results show that with the same monitoring conditions,the proposed scheme can effectively reduce the biosensor's invalid operation and wireless data transmission,and thus extend the operational lifetime of the BAN-based monitoring system.

Reliability and Validity of the Zephyr™ BioHarness™ to Measure Respiratory Responses to Exercise

The Zephyr™ BioHarness™ (Zephyr Technology, Auckland, New Zealand) is a wireless physiological monitoring system that has the ability to measure respiratory rate unobtrusively. However, the ability of the BioHarness™ to accurately and reproducibly determine respiratory rate across a range of intensities is currently unknown. The aim of this study was to determine the reliability and validity of the BioHarness™ to measure respiratory rate. Twelve physically active participants attended the laboratory on two separate occasions to perform an incremental treadmill test to volitional exhaustion. Respiratory rate (br.min−1) was measured continuously and simultaneously during both trials using both a Metamax 3b online gas-analysis system (Cortex, Leipzig, Germany) and the BioHarness™. The mean respiratory rate measured by the Metamax 3b and BioHarness™ did not differ statistically (p < .05) for most speeds, except for 70% of peak treadmill speed (p = .039). Mean absolute differences were small (2 to 3 br.min−1; typical error = 4.4%–8.7%). The typical errors for the test 1 versus the test 2 comparisons for respiratory rate ranged from 1.4 to 2.8 br.min−1 (typical error % = 4.3–7.3) for the BioHarness™. There were no significant differences between devices for the absolute respiratory rate, speed, and percent of respiratory rate maximum at the respiratory breakpoint (p > .05). The BioHarness™ is a valid and reliable device for determining respiratory rate and the respiratory breakpoint during exercise of varying intensity.

RTWPMS: A Real-Time Wireless Physiological Monitoring System

This paper demonstrates the design and implementation of a real-time wireless physiological monitoring system for nursing centers, whose function is to monitor online the physiological status of aged patients via wireless communication channel and wired local area network. The collected data, such as body temperature, blood pressure, and heart rate, can then be stored in the computer of a network management center to facilitate the medical staff in a nursing center to monitor in real time or analyze in batch mode the physiological changes of the patients under observation. Our proposed system is bidirectional, has low power consumption, is cost effective, is modular designed, has the capability of operating independently, and can be used to improve the service quality and reduce the workload of the staff in a nursing center.

Factors Effecting Core Temperature And Hydration During Extended Arduous Work

Wild land firefighters (WLFF) work long shifts in extreme environmental conditions. Temperature regulation and hydration status are important factors that can effect the WLFF cognitive and physical performance. PURPOSE The purpose of this investigation was to determine the effects of wildfire suppression on temperature regulation and drinking behaviors during an arduous day on the fireline. METHODS Subjects included male (n=16) and female (n=4) wildland firefighters from various Hot Shot and District crews. Core, skin and ambient temperature and self-selected work rate (via activity monitor) were measured using a wireless physiological monitoring system. Drinking characteristics were recorded with a previously validated digital flow meter (MSSE 33(5):S257, 2001), which allowed for the measures drink volume/rate (ml/hr), drink frequency (drinks/hour), and total volume (L/workshift). Urine specific gravity was measured at 2nd AM void, late AM, late afternoon, and post shift +1hr. Data were analyzed across the day by comparing average AM and PM workshift values with repeated measures ANOVA. RESULTS Ambient temperature demonstrated a significant increase throughout the day (AM=24.8Ã'±2.2 and PM=34.0Ã'±3.4 Ã〈Å°C, p<0.05). There was also a significant increase in core (AM=37.2Ã'±0.3, PM=37.8Ã'±0.02), p<0.05) and skin (AM=32.7Ã'±1.2, PM=34.67Ã'±1.3, p<0.05) temperatures throughout the day. Drinking volume (ml/hour) was significantly higher during hours 8–15 vs. hours 1–7 (AM=275Ã'±139, PM=583Ã'±259, p<0.05). There was asignificant decrease in nude body weight pre to post-shift (AM=79.8Ã'±14.1, PM=79.1Ã'±14.2, p <0.05). Similarly, urine specific gravity demonstrated a significant increase throughout the workshift (AM=1.019Ã'±0.006, PM=1.023Ã'±0.009, p<0.05). However, self-selected workrate (mean activity counts/hr) was not significantly different between the early and later segments of the workshift (AM=502Ã'±223, PM=450Ã'±146, p>0.05). CONCLUSION These data demonstrate that extended arduous work in the heat is associated with a rise in ambient, core and skin temperature and self-selected drinking volume. The similarity in hourly activity counts during the early and later segments of the workshift suggests that drinking behavior may be more related to temperature changes than work rate. The reduction in BW and increase in urine SG suggests that although drinking volume increased throughout the day, it was not enough to maintain euhydration.