scholarly journals Identifying human body states by using a flexible integrated sensor

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Ying Jin ◽  
Guoning Chen ◽  
Kete Lao ◽  
Songhui Li ◽  
Yong Lu ◽  
...  
Keyword(s):  
Body Temperature ◽  
Respiratory Rate ◽  
Human Body ◽  
Low Cost ◽  
Vital Signs ◽  
Force Sensor ◽  
Diagnostic Methods ◽  
Body Parts ◽  
Integrated Sensor ◽  
Flexible Sensors

Abstract Flexible sensors are required to be lightweight, compatible with the skin, sufficiently sensitive, and easily integrated to extract various kinds of body vital signs during continuous healthcare monitoring in daily life. For this, a simple and low-cost flexible temperature and force sensor that uses only two carbon fiber beams as the sensing layer is reported in this work. This simple, flexible sensor can not only monitor skin temperature changes in real time but can also extract most pulse waves, including venous waves, from most parts of the human body. A pulse diagnostic glove containing three such flexible sensors was designed to simulate pulse diagnostic methods used in traditional Chinese medicine. Wearable equipment was also designed in which four flexible sensors were fixed onto different body parts (neck, chest, armpit, and fingertip) to simultaneously monitor body temperature, carotid pulse, fingertip artery pulse, and respiratory rate. Four important physiological indicators—body temperature (BT), blood pressure (BP), heart rate (HR), and respiratory rate (RR)—were extracted by the wearable equipment and analyzed to identify exercise, excited, tired, angry, and frightened body states.

scholarly journals Design of a contactless body temperature measurement system using Arduino

2020 ◽  
Vol 19 (3) ◽  
pp. 1251 ◽  
Author(s):  
Asif A. Rahimoon ◽  
Mohd Noor Abdullah ◽  
Ishkrizat Taib
Keyword(s):  
Body Temperature ◽  
Human Body ◽  
Low Cost ◽  
Wearable Sensors ◽  
Vital Signs ◽  
Smart Phone ◽  
Human Body Temperature ◽  
Body Temperature Measurement ◽  
The Difference ◽  
Temperature Measurement System

<span lang="EN-US">The recent advances in electronics and microelectronics devices allow the development of newly low-cost monitoring tools used by peoples for health preventive purposes. Sensors used in medical equipments convert various forms of human body vital signs into electrical signals. Therefore, the healthcare monitoring systems considering non-invasive and wearable sensors with integrated communication mediums allow an efficient solution to live a comfortable home life.  This paper presents the remote monitoring of human body temperature (HBT) wirelessly by means of Arduino controller with different sensors and open source internet connection. The proposed monitoring system uses an internet network via wireless fieldity (wifi) connection to be linked with online portal on smart phone or computer. The proposed system is comprised of an Arduino controller, LM-35 (S1), MLX-90614 (S2) temperature sensors and ESP-wifi shield module. The obtained result has shown that real time temperature monitoring data can be transferred to authentic observer by utilizing internet of things (IoT) applications. The findings from this research indicates that the difference of average temperature in between Sensor S1 and S2 is about 15 <sup>0</sup>C</span>

scholarly journals Distribution of Pediatric Vital Signs in the Emergency Department: A Nationwide Study

Children ◽  
2020 ◽  
Vol 7 (8) ◽  
pp. 89
Author(s):  
Woori Bae ◽  
Kyunghoon Kim ◽  
Bongjin Lee
Keyword(s):  
Emergency Department ◽  
Heart Rate ◽  
Body Temperature ◽  
Respiratory Rate ◽  
Life Support ◽  
Vital Signs ◽  
Reference Ranges ◽  
Normal Body Temperature ◽  
Heart Rates ◽  
Normal Body

To effectively use vital signs as indicators in children, the magnitude of deviation from expected vital sign distribution should be determined. The purpose of this study is to derive age-specific centile charts for the heart rate and respiratory rate of the children who visited the emergency department. This study used the Korea’s National Emergency Department Information System dataset. Patients aged <16 years visiting the emergency department between 1 January 2016 and 31 December 2017 were included. Heart rate and respiratory rate centile charts were derived from the population with normal body temperature (36 to <38 °C). Of 1,901,816 data points retrieved from the database, 1,454,372 sets of heart rates and 1,458,791 sets of respiratory rates were used to derive centile charts. Age-specific centile charts and curves of heart rates and respiratory rates showed a decline in heart rate and respiratory rate from birth to early adolescence. There were substantial discrepancies in the reference ranges of Advanced Paediatric Life Support and Pediatric Advanced Life Support guidelines. Age-based heart rate and respiratory rate centile charts at normal body temperature, derived from children visiting emergency departments, serve as new evidence-based data and can be used in follow-up studies to improve clinical care for children.

scholarly journals Vital-SCOPE: Design and Evaluation of a Smart Vital Sign Monitor for Simultaneous Measurement of Pulse Rate, Respiratory Rate, and Body Temperature for Patient Monitoring

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Guanghao Sun ◽  
Takemi Matsui ◽  
Yasuyuki Watai ◽  
Seokjin Kim ◽  
Tetsuo Kirimoto ◽  
...  
Keyword(s):  
Body Temperature ◽  
Respiratory Rate ◽  
Correlation Coefficient ◽  
Pulse Rate ◽  
Simultaneous Measurement ◽  
Vital Sign ◽  
Vital Signs ◽  
Pearson’S Correlation ◽  
Pearson's Correlation ◽  
The Mean

Consistent vital sign monitoring is critically important for early detection of clinical deterioration of patients in hospital settings. Mostly, nurses routinely measure and document the primary vital signs of all patients 2‐3 times daily to assess their condition. To reduce nurse workload and thereby improve quality of patient care, a smart vital sign monitor named “Vital‐SCOPE” for simultaneous measurement of vital signs was developed. Vital-SCOPE consists of multiple sensors, including a reflective photo sensor, thermopile, and medical radar, to be used in simultaneous pulse rate, respiratory rate, and body temperature monitoring within 10 s. It was tested in laboratory and hospital settings. Bland-Altman and Pearson’s correlation analyses were used to compare the Vital-SCOPE results to those of reference measurements. The mean difference of the respiratory rate between respiratory effort belt and Vital-SCOPE was 0.47 breaths per minute with the 95% limit of agreement ranging from −7.4 to 6.5 breaths per minute. The Pearson’s correlation coefficient was 0.63 (P<0.05). Moreover, the mean difference of the pulse rate between electrocardiogram and Vital-SCOPE was 3.4 beats per minute with the 95% limit of agreement ranging from −13 to 5.8 beats per minute; the Pearson’s correlation coefficient was 0.91 (P<0.01), indicating strong linear relationship.

scholarly journals Improving Respiratory Rate Accuracy in the Hospital: A Quality Improvement Initiative

2019 ◽  
Vol 14 (11) ◽  
pp. 673-677 ◽  
Author(s):  
Neil Keshvani ◽  
Kimberly Berger ◽  
Arjun Gupta ◽  
Sheila DePaola ◽  
Oanh Kieu Nguyen ◽  
...  
Keyword(s):  
Quality Improvement ◽  
Respiratory Rate ◽  
Low Cost ◽  
Blood Pressure Measurement ◽  
Vital Signs ◽  
Safety Net ◽  
Adverse Outcomes ◽  
Quality Improvement Initiative ◽  
Safety Net Hospital ◽  
Automated Blood Pressure Measurement

Respiratory rate (RR) is a predictor of adverse outcomes. However, RRs are inaccurately measured in the hospital. We conducted a quality improvement (QI) initiative using plan-do-study-act methodology on one inpatient unit of a safety-net hospital to improve RR accuracy. We added time-keeping devices to vital sign carts and retrained patient-care assistants on a newly modified workflow that included concomitant RR measurement during automated blood pressure measurement. The median RR was 18 (interquartile range [IQR] 18-20) preintervention versus 14 (IQR 15-20) postintervention. RR accuracy, defined as ±2 breaths of gold-standard measurements, increased from 36% preintervention to 58% postintervention (P < .01). The median time for vital signs decreased from 2:36 minutes (IQR, 2:04-3:20) to 1:55 minutes (IQR, 1:40-2:22; P < .01). The intervention was associated with a 7.8% reduced incidence of tachypnea-specific systemic inflammatory response syndrome (SIRS = 2 points with RR > 20; 95% CI, –13.5% to –2.2%). Our interdisciplinary, low-cost, low-tech QI initiative improved the accuracy and efficiency of RR measurement.

scholarly journals Miniaturized wireless, skin-integrated sensor networks for quantifying full-body movement behaviors and vital signs in infants

2021 ◽  
Vol 118 (43) ◽  
pp. e2104925118
Author(s):  
Hyoyoung Jeong ◽  
Sung Soo Kwak ◽  
Seokwoo Sohn ◽  
Jong Yoon Lee ◽  
Young Joong Lee ◽  
...  
Keyword(s):  
Inertial Sensors ◽  
Low Cost ◽  
Body Movement ◽  
Vital Signs ◽  
The Body ◽  
Therapeutic Interventions ◽  
Machine Learning Techniques ◽  
Detection Methods ◽  
Integrated Sensor ◽  
Full Body

Early identification of atypical infant movement behaviors consistent with underlying neuromotor pathologies can expedite timely enrollment in therapeutic interventions that exploit inherent neuroplasticity to promote recovery. Traditional neuromotor assessments rely on qualitative evaluations performed by specially trained personnel, mostly available in tertiary medical centers or specialized facilities. Such approaches are high in cost, require geographic proximity to advanced healthcare resources, and yield mostly qualitative insight. This paper introduces a simple, low-cost alternative in the form of a technology customized for quantitatively capturing continuous, full-body kinematics of infants during free living conditions at home or in clinical settings while simultaneously recording essential vital signs data. The system consists of a wireless network of small, flexible inertial sensors placed at strategic locations across the body and operated in a wide-bandwidth and time-synchronized fashion. The data serve as the basis for reconstructing three-dimensional motions in avatar form without the need for video recordings and associated privacy concerns, for remote visual assessments by experts. These quantitative measurements can also be presented in graphical format and analyzed with machine-learning techniques, with potential to automate and systematize traditional motor assessments. Clinical implementations with infants at low and at elevated risks for atypical neuromotor development illustrates application of this system in quantitative and semiquantitative assessments of patterns of gross motor skills, along with body temperature, heart rate, and respiratory rate, from long-term and follow-up measurements over a 3-mo period following birth. The engineering aspects are compatible for scaled deployment, with the potential to improve health outcomes for children worldwide via early, pragmatic detection methods.

scholarly journals Febrile Seizure Detect and Alarm System

2015 ◽  
Vol 3 (4) ◽  
pp. 4
Author(s):  
Khader Awwad ◽  
Sundous Hussien ◽  
Rawan Rimawi
Keyword(s):  
Body Temperature ◽  
Medical Technology ◽  
Low Cost ◽  
Vital Signs ◽  
Significant Rise ◽  
Alarm System ◽  
Internet Connection ◽  
Precision Temperature ◽  
Present Design ◽  
Wearable Medical

Wearable medical technology is becoming increasingly popular. Such devices have the potential to vastly improve the effectiveness, safety and economy of monitoring vital signs including temperature by both patients and clinicians. The purpose of this paper is to present design and implementation of a reliable, low cost and non-intrusive system that is to monitor a child’s body temperature using high precision temperature sensor and alarm his/her parents or guardian on their mobile phones as well as on a webpage which can be accessed via internet connection so as to avoid convulsions brought on by a significant rise in body temperature.

scholarly journals Low-Cost Multimodal Physiological Telemonitoring System through Internet of Things

2021 ◽  
Vol 21 (1) ◽  
pp. 55
Author(s):  
Kadek Heri Sanjaya ◽  
Asep Nugroho ◽  
Latif Rozaqie ◽  
Yukhi Mustaqim Kusuma Sya'Bana ◽  
Rizqi Andry Ardiansyah ◽  
...  
Keyword(s):  
Body Temperature ◽  
Respiratory Rate ◽  
Data Transmission ◽  
Health Workers ◽  
Low Cost ◽  
Physical Contact ◽  
Physiological Data ◽  
Peripheral Oxygen Saturation ◽  
Ecg Signals ◽  
Offline Testing

The objective of this study is to develop and test a patient telemonitoring system. This study was encouraged by the high number of health workers fatalities in Indonesia due to physical contact without proper protection. Based on the symptoms of COVID-19 it consists of electrocardiogram (ECG) sensors, body temperature sensors, respiratory rate sensors, and pulse oximeter. The physiological data were captured by the sensors and collected by a microcontroller then it sends the data to a cloud system so that health workers can access the data. The experiments were performed to test both the offline and online protocol to compare data sent via a direct connection and data sent via Wi-Fi. In the offline testing, there were several limitations observed such as the low sampling frequency of the ECG signals that reduce the fidelity of the signals. Such problems were also observed on respiratory rate data. Furthermore, the system is also very prone to subjects’ movement-related noise. The measurements of peripheral oxygen saturation (SpO2) and body temperature, on the other hand, have been detected the slight change up to 0.1% and 0.5oC respectively. In the online testing, the data transmission to the cloud is sent per 30 seconds so that morphologically the ECG signal data are not representative. The system requires a lot of improvements and future study should be directed to improve signals acquisition and processing while maintaining the concept of low-cost. Design improvement should also include a better attachment design to the human body as well as greater data transmission for the online system.

scholarly journals A Low Cost Wearable Medical Device for Vital Signs Monitoring in Low-Resource Settings

2019 ◽  
Vol 9 (4) ◽  
pp. 2321
Author(s):  
Muhammad Niswar ◽  
Muhammad Nur ◽  
Idar Mappangara
Keyword(s):  
Heart Rate ◽  
Respiratory Rate ◽  
Medical Device ◽  
Low Cost ◽  
Vital Signs ◽  
Oxygen Saturation Level ◽  
Low Resource Settings ◽  
Low Resource ◽  
Vital Signs Monitoring ◽  
Wearable Medical

Medical devices are often expensive, so people in low-income countries cannot afford them. This paper presents the design of a low-cost wearable medical device to measure vital signs of a patient including heart rate, blood oxygen saturation level (SpO2) and respiratory rate. The wearable medical device mainly consists of a microcontroller and two biomedical sensors including airflow thermal sensor to measure respiratory rate and pulse oximeter sensor to measure SpO2 and heart rate. We can monitor the vital signs from a smartphone using a web browser through IEEE802.11 wireless connectivity to the wearable medical device. Furthermore, the wearable medical device requires simple management to operate; hence, it can be easily used. Performance evaluation results show that the designed wearable medical device works as good as a standard SpO2 device and it can measure the respiratory rate properly.  The designed wearable medical device is inexpensive and appropriate for low-resource settings. Moreover, as its components are commonly available in the market, it easy to assembly and repair locally.

scholarly journals LOW-COST 3D DEVICES AND LASER SCANNERS COMPARISON FOR THE APPLICATION IN ORTHOPEDIC CENTRES

2018 ◽  
Vol XLII-2 ◽  
pp. 953-960 ◽  
Author(s):  
D. F. Redaelli ◽  
S. Gonizzi Barsanti ◽  
P. Fraschini ◽  
E. Biffi ◽  
G. Colombo
Keyword(s):  
Human Body ◽  
Low Cost ◽  
Complete Analysis ◽  
Body Parts ◽  
3D Data ◽  
Starting Point ◽  
Laser Scanners ◽  
Good Starting Point ◽  
Structure Sensor ◽  
Test Objects

Low-cost 3D sensors are nowadays widely diffused and many different solutions are available on the market. Some of these devices were developed for entertaining purposes, but are used also for acquisition and processing of different 3D data with the aim of documentation, research and study. Given the fact that these sensors were not developed for this purpose, it is necessary to evaluate their use in the capturing process. This paper shows a preliminary research comparing the Kinect 1 and 2 by Microsoft, the Structure Sensor by Occipital and the O&amp;amp;P Scan by Rodin4D in a medical scenario (i.e. human body scans). In particular, these sensors were compared to Minolta Vivid 9i, chosen as reference because of its higher accuracy. Different test objects were analysed: a calibrated flat plane, for the evaluation of the systematic distance error for each device, and three different parts of a mannequin, used as samples of human body parts. The results showed that the use of a certified flat plane is a good starting point in characterizing the sensors, but a complete analysis with objects similar to the ones of the real context of application is required. For example, the Kinect 2 presented the best results among the low-cost sensors on the flat plane, while the Structure Sensor was more reliable on the mannequin parts.

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