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Arnous, M. Brannigan, N.

As a way of monitoring wellbeing, some studies have begun to monitor the environment where people live [ 1 ], as it can affect both physical and psychological health. It is also very important to control the health of a part of the population formed by the chronically ill and physically disabled. The control and monitoring of health also has an important impact on the increase in economic costs, due to improper or inadequate medical treatment.

Without this necessary control, the expense on medical treatments increases in patients who see their illnesses worsened by not receiving a rapid correction in their treatments.

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The measurement of LTC quality lags in comparison to the recent advances in medical care. The main challenge we face is how to control and obtain reliable patient data. The main current problem that is presented on the obtained data is that it is generally obtained by questionnaires. The information on these questionnaires is completed based on the answers granted by the users.

The users provide subjective information, which may not adjust to reality. Another important challenge is to achieve a standardization of the collected data, in order to perform a clinical monitoring from different areas. To summarize, we can announce that the main objective to reach optimal levels of health care, with which an important part of the population made up of the elderly, physically disabled and chronically ill is served, is to implement data collection systems in an accurate, automatic, autonomous and standardized way.

Through the combination of non-invasive detection and the use of advanced computer technology, efficient, real and reliable monitoring of patients can be obtained. An optimal way to carry out the control of patients can be done by means of sensor monitoring. Using sensors allows getting information about both physical activity and vital signs, passively, non-invasively, discretely and if necessary continuously.

The sensors can be integrated into mobile devices.

These devices can be attached to the body or form part of our clothes. They are known as wearable devices [ 3 ]. The term wearables devices defines devices that generally resort to some wireless technology for the transmission of the data obtained by means of sensors, which record the personal information of the patients.

Over the last few years, a large number of devices have proliferated to perform this function, among which we can highlight wristbands, watches, belts, shirts, caps, shoes, skin patches, etc. Among the usual functions performed by these devices to control body parameters are the monitoring of temperature, pulsations, heart and respiratory rhythms, blood pressure, etc. New, non-invasive, low-cost, low-energy sensors that can be used to monitor the physical well-being of people are presented every day.

As a consequence of the increase of these devices, Wireless Body Area Networks WBANs are becoming more usual as a way of green communication [ 4 ], enabling wearable devices to communicate employing low energy and reliable transmission protocols [ 5 ]. In this paper, we propose a low-power consumption non-invasive physical wellbeing monitoring system incorporated in a sock. Our proposal incorporates a large number of parameters, such as body temperature, heart rate HR , heart rate variability HRV , oxygen saturation, the pressure exerted by feet, sweat and the level of activity.

Low-cost sensors were considered for our proposal to be available to a large number of people. We also consider a minimum energy consumption for system, both for data collection and transmission. Therefore, we present an operation algorithm that optimizes data transmission in order to reduce energy consumption. Moreover, the algorithm is able to analyze the obtained data and alert the user in case of anomaly.

The rest of this paper is structured as follows: Section 2 presents some of the most relevant works related to monitoring human wellbeing.

In Section 3 we present the materials and methods employed. The results and discussion are presented in Section 4. Finally, the conclusions are presented in Section 5. Related Work In this section related work from different papers on solutions for human wellbeing monitoring is presented.

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There are a lot of works and published papers focused at the design and deployment of multimedia sensors for e-health. Many of them base their operation on smartphones.

Parra et al. Other authors as Lane et al. The authors affirm that with this tool can detect personal wellbeing, related to a generic way, appreciating any variation. Mund el al. The monitored parameters could be recorded digitally with high fidelity over a 9-h period.

The system allowed transferring the data recorded from a cell phone to a base station using Bluetooth, or stored it in 32 MB of on-board flash memory and downloaded it to a personal computer using a serial port. In addition, the buzzer alarm of the cell phone can be activated whenever abnormalities are observed. Authors such as Miramontes et al. They have developed an architecture to record and report electrocardiogram and heart rate data.

It also monitors parameters associated with chronic respiratory illnesses. Nowadays, we can find devices that are capable of monitoring the heart rate using single-lead electrocardiogram ECG. For example, the device provided by Zio Patch [ 12 ] is an adhesive patch. Its manufacturers say it allows a clear monitoring of the heart rate of the patient without losing critical information for 14 days.

In their specifications, they say that with Zio Patch it is possible to avoid critical knowledge gaps from interrupted data. We can simply choose the best time frame for the patient and use their comprehensive report to make a confident diagnosis.

Henry et al.

It is known that, in several situations, hemorrhagic shock induced by a traumatic injury is the main cause of mortality. However, these conventional physical activity monitors only measure the quantity of movement and do not provide information on physical fitness, which is specifically related to the ability or capacity for physical activity.

Therefore, the purpose of exercise should be to increase both physical activity and fitness 4 and, hence, monitoring physical fitness is as important as physical activity monitoring.

Cardiorespiratory fitness CRF , which is one component of physical fitness, is the ability to take in oxygen and to provide this oxygen to the exercising muscles. The importance of CRF in health has been emphasized in previous studies.

Blair et al. Moreover, in previously published research, we reported lower CRF to be associated with higher prevalence of renal hyperfiltration, an early marker of chronic kidney disease 7.

CRF is influenced not only by non-modifiable factors, such as genetic factors, age, and gender, but also by modifiable factors, including regular aerobic exercise 8 , 9. However, CRF has not received its deserved attention in health care and research 6. The absence of practical and reliable methods to measure CRF is likely to be a contributing factor to this.

Dale Dubin - Rapid Interpretation of EKGs 6th ed.-1.pdf.pdf

Metabolic gas analysis during maximal exercise is the gold standard for measuring VO2max However, maximal exercise testing is not safe for high-risk groups due to the high intensity exercise required 6 , as well as because of the high level of motivation required to complete the test In addition, these tests require expensive equipment and expertise in aerobic exercise testing.

Moreover, repeated maximal exercise test for monitoring of VO2max after modification of life styles is not practical. To overcome the limitations of maximal exercise testing, submaximal tests 11 , 12 have been developed.In this manner, Coronary CTA clearly delineates the cardiac chambers, the coronary arteries and coronary veins. The time series data was converted to the frequency domain using the Lomb—Scargle periodogram 13 — 15 , and the spectral BRS was calculated as the average of the magnitude ratio transfer function between oscillations of BPsys and RR-interval in the low frequency LF range i.

Although impaired ictal BRS has been noted in rodent seizure models 10 , similar ictal and post-ictal studies in humans are unavailable, in large part because reliable, continuous peri-ictal BP recordings are difficult to obtain in clinical practice. Most of the aforementioned sensors are intended to be used in contact to the skin.

Several studies indicate attenuated parasympathetic activity as a predisposing factor for cardiac arrhythmias and sudden death 27 — 29 , whilst enhanced vagal activity is conversely protective against lethal arrhythmias 30 ,