scholarly journals Sports Injury Risk Assessment Based on Blockchain and Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Jihua Liu
Keyword(s):  
Blood Pressure ◽  
Risk Assessment ◽  
Body Temperature ◽  
Internet Of Things ◽  
Injury Risk ◽  
Sports Injury ◽  
Wearable Devices ◽  
Physiological Parameters ◽  
Computational Power ◽  
Motion State

With the increase of people’s exercise in today’s society, how to exercise scientifically and healthily has attracted much attention. Therefore, sports injury risk assessment and monitoring system has attracted more and more attention in real-time, flexibility, intelligence, and other aspects. To solve the above problems, this paper proposes a sports injury risk assessment based on blockchain and Internet of Things. By introducing computational power weight, a computational power balance D-H algorithm based on Internet of Things blockchain network architecture is proposed. It can provide a secure and trusted interactive environment for the Internet of Things. On the basis of blockchain and Internet of Things, a multisensor data fusion algorithm is proposed to be applied to the analysis and evaluation of sports injury. A variety of physiological parameters of human motion state are collected through multisensor, the collected physiological parameters are processed by data fusion, and finally, sports injury risk assessment is carried out. The built system takes the embedded esp8266wifi module as the hardware processing core and uses body temperature sensor, blood pressure sensor, EMG sensor, and pulse sensor to form wearable devices. By wearing wearable devices, four human physiological parameters such as body temperature, blood pressure, electromyography, and pulse can be collected. In the process of decision level fusion, different weights are set for the focal elements causing information conflict, and the optimized D-S evidence theory algorithm is used. Thus, according to the data detected by multisensor, the injury risk of user motion state is evaluated.

scholarly journals Internet of things–based vital sign monitoring system

2020 ◽  
Vol 10 (6) ◽  
pp. 5891
Author(s):  
Alamsyah Alamsyah ◽  
Mery Subito ◽  
Mohammad Ikhlayel ◽  
Eko Setijadi
Keyword(s):  
Blood Pressure ◽  
Heart Rate ◽  
Body Temperature ◽  
Internet Of Things ◽  
Monitoring System ◽  
Vital Sign ◽  
Data Retrieval ◽  
Medical Personnel ◽  
Raspberry Pi ◽  
Medical Diagnoses

Wireless network technology-based internet of things (IoT) has increased significantly and exciting to study, especially vital sign monitoring (body temperature, heart rate, and blood pressure). Vital sign monitoring is crucial to carry out to strengthen medical diagnoses and the continuity of patient health. Vital sign monitoring conducted by medical personnel to diagnose the patient's health condition is still manual. Medical staff must visit patients in each room, and the equipment used is still cable-based. Vital sign examination like this is certainly not practical because it requires a long time in the process of diagnosis. The proposed vital sign monitoring system design aims to assist medical personnel in diagnosing the patient's illness. Vital sign monitoring system uses HRM-2511E sensor for heart detection, DS18b20 sensor for body temperature detection, and MPX5050DP sensor for blood pressure detection. Vital sign data processing uses a raspberry pi as a data delivery media-based internet of things (IoT). Based on the results of the vital sign data retrieval shows that the tool designed functioning correctly. The accuracy of the proposed device for body temperature is 99.51%, heart rate is 97.90%, and blood pressure is 97.69%.

Maintenance of Psychophysiological Changes in Feeling Therapy

1976 ◽  
Vol 39 (3_suppl) ◽  
pp. 1143-1147 ◽  
Author(s):  
Werner Karle ◽  
Richard Corriere ◽  
Joseph Hart ◽  
Stephen Gold ◽  
Christopher Maple ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Body Temperature ◽  
Physiological State ◽  
Physiological Parameters ◽  
Long Term Effects ◽  
Temperature Pulse ◽  
The Third ◽  
Therapy Sessions

This was the third in a series of studies on the psychophysiological effects of psychotherapy. Two earlier studies have suggested a more relaxed physiological state as measured by body temperature, pulse, and blood pressure taken immediately following therapy sessions. This study investigated the maintenance of these changes over a 10-day period among a group of 5 experienced and 5 inexperienced patients in Feeling Therapy. While neither group was able to sustain the large drops in physiological parameters which followed therapeutic sessions, the experienced patients evidenced a considerably lower level on every parameter throughout the study, suggesting possible long-term effects of this type of therapy.

scholarly journals Effect of Short-Term Mobile Phone Base Station Exposure on Cognitive Performance, Body Temperature, Heart Rate and Blood Pressure of Malaysians

2015 ◽  
Vol 5 (1) ◽  
Author(s):  
F. Malek ◽  
K. A. Rani ◽  
H. A. Rahim ◽  
M. H. Omar
Keyword(s):  
Blood Pressure ◽  
Heart Rate ◽  
Body Temperature ◽  
Mobile Phone ◽  
Cognitive Performance ◽  
Electromagnetic Fields ◽  
Base Station ◽  
Physiological Parameters ◽  
Short Term ◽  
Significant Difference

Abstract Individuals who report their sensitivity to electromagnetic fields often undergo cognitive impairments that they believe are due to the exposure of mobile phone technology. The aim of this study is to clarify whether short-term exposure at 1 V/m to the typical Global System for Mobile Communication and Universal Mobile Telecommunications System (UMTS) affects cognitive performance and physiological parameters (body temperature, blood pressure and heart rate). This study applies counterbalanced randomizing single blind tests to determine if sensitive individuals experience more negative health effects when they are exposed to base station signals compared with sham (control) individuals. The sample size is 200 subjects with 50.0% Idiopathic Environmental Intolerance attributed to electromagnetic fields (IEI-EMF) also known as sensitive and 50.0% (non-IEI-EMF). The computer-administered Cambridge Neuropsychological Test Automated Battery (CANTAB eclipse TM) is used to examine cognitive performance. Four tests are chosen to evaluate Cognitive performance in CANTAB: Reaction Time (RTI), Rapid Visual Processing (RVP), Paired Associates Learning (PAL) and Spatial Span (SSP). Paired sample t-test on the other hand, is used to examine the physiological parameters. Generally, in both groups, there is no statistical significant difference between the exposure and sham exposure towards cognitive performance and physiological effects (P’s > 0.05).

scholarly journals Design for Monitoring Blood Pressure, Non-Invasive Blood Sugar, Weight, and Body Temperature Based on Internet of Things

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Muhammad Nur Fariz ◽  
Jamaaluddin
Keyword(s):  
Blood Pressure ◽  
Body Weight ◽  
Body Temperature ◽  
Internet Of Things ◽  
Blood Sugar ◽  
Medical Devices ◽  
Health Conditions ◽  
The Internet ◽  
Non Invasive ◽  
The Internet Of Things

In adults to the old age, check health conditions such as blood pressure, blood s ugar levels, and others are needed regularly. Medical devices generally only be operated by doctors. Healthcare companies always develop medical devices for efficiency in use and minimize costs in manufacture. In this study, researchers made a design for monitoring blood pressure, non-invasive blood sugar, weight, and body temperature based on the Internet of Things. This tool uses NodeMCU microcontroller, which processes sensor MAX30100 and DS18B20. The MAX30100 sensor is used to detect blood pressure and blood sugar non-invasive. By put finger index on the sensor, the results will display after 20 seconds. DS18B20 sensor is used to measure realtime body temperature by clamp the sensor to the armpit.  Load Cell sensors and the HX711 module are used to measure body weight.Results on measurements on LCD 20x4 and android using the Blynk application with the internet.Test analysis with a compare of the manufacturer's standard tools. The results, accuracy of tool are 94.78% and 93,37% in the measurement systole and diastole, 93,21% in measuring blood sugar, 96,55% in measuring body temperature, and 98,27% in measuring body weight. The results on Android can  display if there is an internet or wifi connection without place restrictions.

EVALUATION OF PITUITARY-ADRENAL FUNCTION IN CHILDREN

1965 ◽  
Vol 48 (1) ◽  
pp. 81-90 ◽  
Author(s):  
B. van der Wal ◽  
T. Wiegman ◽  
J. F. Janssen ◽  
A. Delver ◽  
D. de Wied
Keyword(s):  
Blood Pressure ◽  
Body Temperature ◽  
Diastolic Blood Pressure ◽  
Linear Increase ◽  
Significant Rise ◽  
Moderate Increase ◽  
Specific Stimulus ◽  
Lysine Vasopressin ◽  
Free Cortisol ◽  
Pituitary Adrenal Axis

ABSTRACT The reactivity of the hypothalamico-pituitary-adrenal axis was determined in 48 children, not suffering from any endocrine disorder. The free cortisol (F)- and corticosterone (B) content of plasma was determined in response to ACTH (clinical corticotrophin; A1 peptide), a corticotrophin releaser (lysine vasopressin) and a non specific stimulus (bacterial polysaccharide) as compared to saline. The two ACTH-preparations infused over one hour in a dose of 5 IU per child elicited a marked increase in both F and B. Lysine vasopressin in a dose of 0.5 IU per year of age similarly infused, exhibited a distinct linear increase in the two circulating cortical steroids, although the effect of this octapeptide was smaller than that of the two ACTH-preparations. Blood pressure was also measured during the infusion with vasopressin or saline. The systolic blood pressure was not significantly affected by vasopressin, but a significant rise in diastolic blood pressure was found. No correlation between the increase in diastolic blood pressure and in blood corticoids in response to vasopressin, was found. The intravenous administration of a relatively small amount of pyrifer caused a moderate increase in circulating F which was significant only at 4 and 6 hours after the injection of the pyrogen. The B content did not increase significantly above that of saline treated control children, presumably because of the relatively weak corticotrophic activity of the pyrogen under these conditions. A positive linear relation between body temperature and time was found. No correlation between increase in body temperature and increase in circulating F could be demonstrated.

scholarly journals Epistemological Equation for Analysing Uncontrollable States in Complex Systems: Quantifying Cyber Risks from the Internet of Things

2021 ◽  
Author(s):  
Petar Radanliev ◽  
David De Roure ◽  
Pete Burnap ◽  
Omar Santos
Keyword(s):  
Risk Assessment ◽  
Internet Of Things ◽  
Empirical Analysis ◽  
Quantitative Risk Assessment ◽  
The Internet ◽  
Self Assessment ◽  
Target State ◽  
Epistemological Analysis ◽  
Cyber Risk ◽  
The Internet Of Things

AbstractThe Internet-of-Things (IoT) triggers data protection questions and new types of cyber risks. Cyber risk regulations for the IoT, however, are still in their infancy. This is concerning, because companies integrating IoT devices and services need to perform a self-assessment of its IoT cyber security posture. At present, there are no self-assessment methods for quantifying IoT cyber risk posture. It is considered that IoT represent a complex system with too many uncontrollable risk states for quantitative risk assessment. To enable quantitative risk assessment of uncontrollable risk states in complex and coupled IoT systems, a new epistemological equation is designed and tested though comparative and empirical analysis. The comparative analysis is conducted on national digital strategies, followed by an empirical analysis of cyber risk assessment approaches. The results from the analysis present the current and a target state for IoT systems, followed by a transformation roadmap, describing how IoT systems can achieve the target state with a new epistemological analysis model. The new epistemological analysis approach enables the assessment of uncontrollable risk states in complex IoT systems—which begin to resemble artificial intelligence—and can be used for a quantitative self-assessment of IoT cyber risk posture.

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