scholarly journals Smart Wearable Sensors Based on Triboelectric Nanogenerator for Personal Healthcare Monitoring

Micromachines ◽  
2021 ◽  
Vol 12 (4) ◽  
pp. 352
Author(s):  
Ruonan Li ◽  
Xuelian Wei ◽  
Jiahui Xu ◽  
Junhuan Chen ◽  
Bin Li ◽  
...  

Accurate monitoring of motion and sleep states is critical for human health assessment, especially for a healthy life, early diagnosis of diseases, and medical care. In this work, a smart wearable sensor (SWS) based on a dual-channel triboelectric nanogenerator was presented for a real-time health monitoring system. The SWS can be worn on wrists, ankles, shoes, or other parts of the body and cloth, converting mechanical triggers into electrical output. By analyzing these signals, the SWS can precisely and constantly monitor and distinguish various motion states, including stepping, walking, running, and jumping. Based on the SWS, a fall-down alarm system and a sleep quality assessment system were constructed to provide personal healthcare monitoring and alert family members or doctors via communication devices. It is important for the healthy growth of the young and special patient groups, as well as for the health monitoring and medical care of the elderly and recovered patients. This work aimed to broaden the paths for remote biological movement status analysis and provide diversified perspectives for true-time and long-term health monitoring, simultaneously.

2020 ◽  
Vol 8 (5) ◽  
pp. 5573-5575

In present days, Health issues are occurring more frequently. Because of climatic changes, industrialization and technical advancement which led to reduced physical activity. Saving lives requires monitoring the health conditions of people who have chronic diseases or heart related problems. Decrease in morbidity from disease and extend lives can be achieved by earlier detection of problems. When we reach a certain age we have to keep monitoring the three vital signs of the body to extend our lives. In this paper, we are designing a healthcare monitoring system which can either monitor or measure three vital signs i.e. heart rate, respiratory rate and body temperature of human body. The developed system uses wearable sensors to measure body temperature, heart rate and breathing rate. In order to minimize human involvement and respond at an appropriate time a health monitoring designed FGPA system will take the data from the sensors and analyze the date. It will give the health report, health status and alerts the concerned whenrequired.


F1000Research ◽  
2018 ◽  
Vol 7 ◽  
pp. 1793
Author(s):  
Emily J. Guerard ◽  
Gil E. Harmon ◽  
Kieran D. Sahasrabudhe ◽  
Noelle K. LoConte

This article summarizes the seminal publications from mid-2016 through 2017 in the area of medical care for older adults with cancer. Areas addressed include chemotherapy tolerance and efficacy in the aged, geriatric fitness assessments, and advancements in palliative and supportive care. The practice-changing finding from this past year’s publications is that antipsychotics should not be used in the management of terminal delirium in older adults receiving palliative care. The other trials demonstrated an improved understanding of the utility of geriatric assessments in patients with cancer, developed the body of information about which chemotherapy agents are safe and effective in older adults (and which are not), and expanded our understanding of good palliative and supportive care.


2019 ◽  
Vol 15 (11) ◽  
pp. 155014771988561
Author(s):  
Tao Xu ◽  
Wei Sun ◽  
Shaowei Lu ◽  
Ke-ming Ma ◽  
Xiaoqiang Wang

The accidental fall is the major risk for elderly especially under unsupervised states. It is necessary to real-time monitor fall postures for elderly. This paper proposes the fall posture identifying scheme with wearable sensors including MPU6050 and flexible graphene/rubber. MPU6050 is located at the waist to monitor the attitude of the body with triaxial accelerometer and gyroscope. The graphene/rubber sensors are located at the knees to monitor the moving actions of the legs. A real-time fall postures identifying algorithm is proposed by the integration of triaxial accelerometer, tilt angles, and the bending angles from the graphene/rubber sensors. A volunteer is engaged to emulate elderly physical behaviors in performing four activities of daily living and six fall postures. Four basic fall down postures can be identified with MPU6050. Integrated with graphene/rubber sensors, two more fall postures are correctly identified by the proposed scheme. Test results show that the accuracy for activities of daily living detection is 93.5% and that for fall posture identifying is 90%. After the fall postures are identified, the proposed system transmits the fall posture to the smart phone carried by the elderly via Bluetooth. Finally, the posture and location are transmitted to the specified mobile phone by short message.


2019 ◽  
Vol 5 (1) ◽  
Author(s):  
Taylor E. Schlotman ◽  
Kris R. Lehnhardt ◽  
Andrew F. Abercromby ◽  
Benjamin D. Easter ◽  
Meghan E. Downs ◽  
...  

AbstractThe concept of prolonged field care (PFC), or medical care applied beyond doctrinal planning timelines, is the top priority capability gap across the US Army. PFC is the idea that combat medics must be prepared to provide medical care to serious casualties in the field without the support of robust medical infrastructure or resources in the event of delayed medical evacuation. With limited resources, significant distances to travel before definitive care, and an inability to evacuate in a timely fashion, medical care during exploration spaceflight constitutes the ultimate example PFC. One of the main capability gaps for PFC in both military and spaceflight settings is the need for technologies for individualized monitoring of a patient’s physiological status. A monitoring capability known as the compensatory reserve measurement (CRM) meets such a requirement. CRM is a small, portable, wearable technology that uses a machine learning and feature extraction-based algorithm to assess real-time changes in hundreds of specific features of arterial waveforms. Future development and advancement of CRM still faces engineering challenges to develop ruggedized wearable sensors that can measure waveforms for determining CRM from multiple sites on the body and account for less than optimal conditions (sweat, water, dirt, blood, movement, etc.). We show here the utility of a military wearable technology, CRM, which can be translated to space exploration.


Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 722
Author(s):  
Johannes C. Ayena ◽  
Lydia Chioukh ◽  
Martin J.-D. Otis ◽  
Dominic Deslandes

Previously, studies reported that falls analysis is possible in the elderly, when using wearable sensors. However, these devices cannot be worn daily, as they need to be removed and recharged from time-to-time due to their energy consumption, data transfer, attachment to the body, etc. This study proposes to introduce a radar sensor, an unobtrusive technology, for risk of falling analysis and combine its performance with an instrumented insole. We evaluated our methods on datasets acquired during a Timed Up and Go (TUG) test where a stride length (SL) was computed by the insole using three approaches. Only the SL from the third approach was not statistically significant (p = 0.2083 > 0.05) compared to the one provided by the radar, revealing the importance of a sensor location on human body. While reducing the number of force sensors (FSR), the risk scores using an insole containing three FSRs and y-axis of acceleration were not significantly different (p > 0.05) compared to the combination of a single radar and two FSRs. We concluded that contactless TUG testing is feasible, and by supplementing the instrumented insole to the radar, more precise information could be available for the professionals to make accurate decision.


2020 ◽  
Vol 15 (16) ◽  
pp. 142-147
Author(s):  
N. I. Necheporenko ◽  
◽  
T. V. Peresypkina ◽  
T. P. Sidorenko ◽  
◽  
...  

Introduction. The current achievements of modern science are the use of specialized automated systems and applications in various fields of medicine. In the current context of health care reform, the burden on health workers who provide medical care to school-age children is growing. The purpose of the work. With the declining level of children’s health, the system of optimizing the monitoring of children’s health and their physical development is becoming an urgent issue. Results. The proposed program is based on MS Access, VBA programming language. Designed for a comprehensive automatic assessment of physical development of students on the basis of anthropometric and physiometric indicators, functional capabilities of the body and the data of medical examination. The program provides the possibility of longitudinal observation (accumulation of data) on the health and physical development of students of an educational institution or classroom during the entire period of study of students. The result of the program is the formation of reports that describe the results of medical examinations to determine the proportion of students, physical or sexual development, visual or hearing acuity which meets or does not meet the normative age. Also, students who need further counseling from specialists in various fields are identified. Conclusions. The use of the proposed software will help to improve the organization of medical care by increasing the effectiveness of health monitoring and optimizing the work of health care workers or educational institutions. Key words: Medical examinations; Database; Software packages; Children’s health.


2020 ◽  
Vol 5 (1) ◽  
pp. 21-29
Author(s):  
Magdalena Pracka ◽  
Marcin Dziedziński ◽  
Przemysław Łukasz Kowalczewski

AbstractIn recent years have seen increasing percentage of the elderly in the overall population. This has driven the attention to the lifestyle factors that influence the health and quality of life of this social group, including their nutrition and physical activity. Universities of the Third Age (U3A) are a valuable platform for the dissemination and broadening of the knowledge related to these topics. The nutritional habits of 61 U3A students in Poznań were evaluated on the basis of a modified KomPAN questionnaire. Their nutritional status was determined using the body mass index (BMI) and waist to hip ratio (WHR) indices. Nearly half of the respondents were overweight and 16% had first degree obesity. The WHR index in women was on average 0.8, while in men it was 1.01. Only 13% of the students declared regular eating, with 60% consuming 4-5 meals a day. Women were found to eat snacks between meals more often than men. It was also found that the majority of the elderly do not add salt to ready meals or sweeten beverages with sugars. Taking into account the observed nutritional problems and the occurrence of improper eating habits of the elderly, it is recommended to continue the education on the prevention of common diet-related diseased.


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