Delivery in day(s): 4
Application In Health And Fitness Management Assignment Help
Technology is continuously addressing to improvements in the digital market. With the introduction wearable devices, it is easier for medical science to evaluate complex diseases more precisely.
Aim: The main aim of this project is to understand the significance of wearable devices to support health care and conclude relevant outcomes for the health of an individual.
Objective: Objective of this research is to document a list of activities for wearable devices and their influence on an individual.
Method: From different technological advancements, various issues have been subjected to find information relevant to wearable devices.
Findings: From this detailed research appropriate findings are done for wearable devices and their impact in the industry of health care.
Implication: I have researched about various technologies related to wearable devices and implemented this on this project.
This research is based on advanced wearable devices for providing better health care services in the field of medical engineering. Wearable devices include smart wrist watches, fitness hand bands, different technical gadgets and much more that provides services in different functional areas of information technology.
As progress in technology can be observed, researchers and scientists have found out a better idea to evaluate and implement smart devices in medical science also. Nowadays, technology is integrating into everything starting from home appliances to any other source. Among these, wearable devices have become more common as they are convenient and easy to access by an individual. Out of a large number of wearable devices, some of them are implemented as fitness devices that could help an individual to stay fit and healthy (Laki, et. al., 2016).
With the impact of smart technology worldwide, wearable devices are influencing different health care aspects. There are many devices such as contact lenses for diabetes patients and fit bit hand band for individuals suffering from sleep disorders that are helpful to record and improve such problems. These devices emit radiations that can be harmful to a person but it is also concluded from researchers that wearable technology is a small part of technological advancement thus these are not much prone to health issues (Zhou & Piramuthu, 2014).
1.3. Significance of the Study
Studies show that wearable devices are connected with medical professionals or doctors to track data of a patient and recommend solutions without any physical effort. However, there is still a need to enhance these devices so that these can become user friendly and less harmful for an individual. Due to this tracking to data, study shows that there is a need to secure private data of an individual. Health Laws set up by legislation have not been applied to wearable devices, thus, regulatory system of health care does not assure users about protection in using smart devicesas per the study.
1.4. Purpose and aims
The purpose of this research is to find a solution for smart devices.
1.To evaluate the impact of wearable devices on an individual.
2.To identify the problems related to smart technology.
3.To implement a solution for the given issue (Zhou & Piramuthu, 2014)
4.To study and explore the current trends of digital market influencing health issues.
5.To document and generate a report on wearable devices.
2. Literature Review
Fitness bands are a convenient source for an individual as they are easy to carry out and a person can perform any task by simply wearing this device. This is not harmful to a human body and does not contain any side effects. Theoretically, this fitness band provides sensibility to human activities. These keep a record of heart rate and the target they have been used for. For example, the fit bit is used to evaluate sleep disorder in an individual. The band contains sensors that are capable of reading heart beat and thus creates a record of sleep insight of an individual (Laki, et. al., 2016).
Wearable devices are more effective than any other smart devices as these are designed according to the requirements and efficiency of users. This document is based on structuring various theoretical and technical aspects of fitness bands. In these advanced fitness bands, there is no such privacy issue. With the help of sensors that are wireless, data or information of a patient recorded in the device is connected to smart phone application and thus a record of data can be easily authorized by doctors (Militaru, et. al., 2015).
The main aim of this research is to find aspects that cause inconvenience to end users and to document list of advantages and disadvantages of using advanced fitness bands. This study about wearable devices is based on the advancement in technology most commonly in wearable smart devices. Various technological aspects have been considered in this research. This report describes various phenomena’s affecting the use of smart wearable device moreover, fitness bands.
2.2Description of fitness bands
This report laid stress on the current trends of the wearable technology. The factors affecting digitization and globally influencing the technical aspects has been researched and documented in this detailed report. It is rightly said that if the development of technology is rising covering all the necessary aspects of health management then it can be helpful to achieve progress in medical science. Due to everyday pressure at the workplace and in everyday life, many individuals are suffering some health issues like hypertension, loss of vision, diabetes, insomniac that could be resolved with the help of fitness bands.
With the recent developments, it has been observed that wearable devices have been progressing in the digital marketing since they have introduced in the technology. These developments acknowledge the importance of using fitness band and emphasizing on their benefits with respect to improving the health of an individual. It has been investigated upon the usage and technical specifications of fitness bands. This improves the health issues of people and provides an ultimate solution for their problems (Zhou & Piramuthu, 2014).
Fitness bands are compatible for all users that are anybody can use it and can perform different activities like exercising, cooking, walking, working etc. There are multiple features of fitness bands that are they can be either used for reducing body fat, to control blood pressure and also to give a record about overall fitness of the body. Fitness bands also have the technical compatibility that is they are suitable for all types of mobile devices as well as computing devices (Nixon, et. al., 2016).
Nowadays, people demand to look stylish and desire to have a standard following various digital trends. Smart wearable devices are trendy and fashionable so that it is easy for the users to access them everywhere. Technology is developing rapidly as it has improved lifestyles of people in a better way. It has reduced manual work and consumes less time in performing any task or activity (Zhou & Piramuthu, 2014). Further description of various literature in regard to wearable fitness devices is as follows.
1.Fitness bands: This solution plays a pivotal role in health and fitness management through the use of bands which can be easily worn. These bands are able to detect the signals through wireless sensors (Anzaldo, 2015).
2.Adaptive wearable smart fabric: In the words of Durbhaka (2016), this solution includes the use of fabrics as a fitness management tool which is significant in controlling various fitness measures such as body posture, temperature etc.
3.Mobile based applications linked with wearable technologies:With the advancement in technology mobile devices are used for tracking and monitoring the gym activities. These are helpful in the development of various power tracking solutions (Maheedhar, et. al., 2016).
4.Pedometers:It is a measure which is used for health and fitness management through counting the number of steps which are taken by an individual. This device includes effective algorithms for the development of the software which are to be included in pedometers (Chien, et. al., 2015).
5.Fitbit—a Fitness Tracking Device:In the opinion of Zhou & Piramuthu (2014), this solution includes the use of social networking which is integrated with the fitness tracking activities. This is helpful for effective monitoring of fitness activities.
6.Deployment on smartphones:This solution includes the use of smartphones in assessing the impact of health and fitness activities. This solution requires integration of smartphones with health and fitness management (Bajpai, et. al., 2015).
7.Wrist worn sensors:According toNguyen, et. al. (2015), these sensors are useful in evaluating the performance of individuals in regard to their fitness. Further, it involves improving the accuracy of the activities so that health and fitness can be effectively managed.
8.Smart eye glasses:This solution includes eye wear devices which can be used for identifying various aspects which are related to health and fitness management. Smart eye glasses include the use of glasses for detecting the health data for monitoring health and fitness in effective ways (Yano, et. al., 2016).
9.Bluetooth technology:This solution includes data exchange and pairing technologies that can be used for analysing the positive impact of wearable fitness devices. This solution includes integration of Bluetooth technology and wearable fitness devices for transfer of health data (Lotfy & Hale, 2016).
10.Smart wristbands:This solution includes the use of smart wristbands which can be worn on the wrist and can track various health concerns such as heart rate, calories, diet plans etc (Militaru, et. al., 2015). These devices are helpful in monitoring the health activities on regular basis through the use of such smart wristbands.
11.Biometric signal processing:This solution works as an effective tool in managing the amount of information which is required to be managed on wearable fitness devices (Francescon, et. al., 2015). Further, it also includes the use of biometric signals for managing the health data on devices.
12.Mobile image processing algorithms:In the opinion of Nejati, et. al., (2016), this solution works as a tool that can be used or enhancing the trends and technologies that can be utilised in wearable fitness technologies. It is also involved with using the health monitoring applications which are linked with fitness wearable devices.
13.Lead necklace:Explanation of this solution can be provided as the use of passive electrodes which can be used for monitoring the activities of the heart. Further, it also includes monitoring various concerns which are related to heart monitoring (Iskandar, et. al., 2016).
14.Low power smartwatch:In the words of Conti, et. al. (2017), this solution is a substitute to the smart watches with low costs and low power. It involves health and fitness management with the cost effective ways so that these are convenient to the individuals who are using such devices.
15.Oscillometric-based blood pressure monitoring technology:The main goal of this solution is to encourage the use of cuffs and other armbands which can be used for monitoring blood pressure. These technologies are helpful for individuals in keeping track on blood pressure on a regular basis (Altintas, et. al., 2015).
16.Remote health monitoring:It refers to the use of wearable fitness devices in keeping a track on health variations of an individual. Latest advancements in the technology are included in these devices to promote the health monitoring through wearable fitness devices (Kulkarni, et. al., 2016).
2.6 Current best solution
a) Current best solution: The current best solution which has been considered is fitness bands as these bands are able to fulfil all the requirements which are related to health and fitness monitoring. Fitness bands are flexible enough to cope with the requirements of individuals. Further, these bands are easy to carry and easy to use so it is very convenient for people to use these bands. Fitness bands include wireless sensors which are able to detect signals so that health and fitness can be monitored on regular basis (Anzaldo, 2015).
b) Limitations:Fitness bands provide full support to the ways of health and fitness monitoring but these bands are not able to secure the health data in effective ways. Further, these bands also involve a limited range of features which are not able to fulfil the requirements other than the health concerns. Other concern is involved with the battery which is consumed in the fitness bands where the battery does not lasts longer which also causes risk to health data. Apart from this, there are various security and privacy concerns related to health data in fitness bands. In this regard, it is required to add certain additional features in the fitness bands so that they are able to provide a diversified range of services (Anzaldo, 2015). These limitations in the current best solution are highlighted in the below model.
c) Justification: Fitness bands involves various embedded sensors which are significant in maintaining the accuracy of health data hence fitness bands are considered as the current best solution for improving the quality of life of individuals through health and fitness management. The position for such fitness bands is not rigid as they can be easily used by anyone. Fitness bands provide a variety of range of services for health and fitness monitoring and they are resulting as one of the most convenient tools that can be used by individuals for health and fitness monitoring purposes (Anzaldo, 2015). Apart from the benefits, the issues with the fitness bands are explained above. For resolving the issues involved in the fitness bands it is required to new propose a new model which is able to overcome these issues and limitations in the fitness bands. In this regard advanced fitness bands have been proposed which is able to introduce various new features to fitness bands. These features are able to resolve the battery concerns in the fitness bands and through this, it is also improving the convenience and feasibility of the users to such fitness bands. Effective security mechanisms in the advance fitness bands are able to improve the security and protection of health data in the use of wearable fitness technologies. The proposed model which is able to overcome the limitations of fitness bands is advanced fitness bands. The proposed model resolves all the issues in the fitness bands and further, it is able to introduce certain new features to advance fitness bands so that they are able to effective health and fitness management of individuals using these technologies. Further, the model of advance fitness bands has been shown below.
3. Proposed Model
A smart wearable device, advanced fitness band has been proposed for the given solution. Fitness bands are an essential tool for evaluating different health issues of an individual. These smart devices have covered most of the functionality in medical sciences only then in defence and other functional areas.
We have proposed a model for the given solution that is advanced fitness bands that are effective and efficient to use by all type of users. These fitness bands have different functions when used in various functional areas like business, marketing, sales, human resource and medical science. These fitness bands have been proposed as a solution by considering various factors depending upon the latest developments in the technology.
This proposed model supports health management system to provide treatment of various diseases like vision problems and much more. It is an appropriate fitness management tool used in medical sciences. Researches show that this advanced fitness band is feasible and also contributes to the advancement of medical sciences. This proposed model is a standard version for a fitness band. Fitness band had many faults that are covered by this advanced fitness band. These advanced fitness bands provide security for private data of a patient, have improved performance and also have the faster accessibility that is the advanced fitness bands begins in less a minute (Yano, et. al., 2016).
3.3 Qualitative and quantitative analysis
When a model is developed, an essential task is to analyse whether the proposed model is appropriate for end users or there are some faults in the model. Advanced fitness bands are very useful for various organizations; these provide many benefits (Bajpai, et. al., 2015). They have improved sensors embedded in them which can evaluate and implement health issues of an individual. Advanced fitness bands improve efficiency in the workflow of an organization. It helps in reducing various risks like slow accessibility to computing and mobile devices and also avoid travelling of an individual to various hospitals for treatment.
These bands are cost effective; these fitness bands are available in the market and online stores at affordable prices, can be carried onto different places; users can travel around by simply wearing this device anywhere they want, easy maintenance; there is no or very less maintenance of fitness bands. These do not get spoiled when used in direct sunlight and these are also water resistant, and automatic recovery; if any error is detected while recovering data this fitness band can automatically trace the information and import it from the database, compatible with all type of mobile applications. These fitness bands are supportable to mobile applications which mean that when this device is connected to any mobile device to transfer the data or information then there is no problem (Laki, et. al., 2016).
These fitness bands have some disadvantages also over benefits provided to users. These do not contain proper tracking capabilities through which users face many difficulties. Start-up processes are quite slow in fitness bands. Some of the fitness bands are quite complex. These weaknesses cause less trafficking in sales; users take less interest in accessing slower devices. Complex user interface design creates confusion among users on how to access the smart wearable fitness band device. Since, there the location is not traced properly users have to face many problems to contact with medical professionals (Yano, et. al., 2016).
3.6 The proposed solution
The proposed solution which is considered is advanced fitness bands which are an extended version of fitness bands. Further, this proposed solution includes adding certain features to the current best solution which is fitness bands with a view to overcoming the involved limitations. This is also helpful in fulfilling the requirements of fitness bands other than the health concerns.
Elements which are added the proposed solution are able to fulfil the limitations with the current solution. The elements which are added are highlighted as orange colour in the above model and their justification is as follows.
Battery requirements: On of the vital constraint which was involved with the fitness bands is their power and battery problem which are resolved through advanced fitness bands which provide battery as well as charging facilities for running the device properly.
Effective security mechanisms: Advanced fitness bands include effective security mechanisms which are able to protect and secure the health data even in the devices as well as at the time of transmission of data from these devices.
Statistics trackers: Advanced fitness bands include statistic trackers which are helpful in tracking all the health and fitness activities in effective ways. Thus it is helpful in providing accurate data relating to health and fitness monitoring.
4. Implementation of the proposed solution
This advanced fitness bands are proposed for different health care organizations and also for people that are facing some health issues. The proposed model has been successfully implemented for users. Users can wear this band in their hand comfortably and can move from one place to another freely while carrying this band in their hand (Anzaldo, 2015).
These devices can be implemented in aerospace and military also for testing performance, speed and quality of the activities performed in these functional areas. For health care organizations, the advanced fitness bands are used to regulate blood pressure of a patient, treatment for cardiac diseases and diabetes and are also helpful to regulate body fat. Advanced fitness bands facilitate an organization to increase productivity and enhance the various operations performed in a certain functional area. This proposed model can be implemented using a platform such as online stores where the product can be viewed by different users and interested users can buy this advanced fitness band for their use (Nguyen, et. al., 2015).
5. Evaluation of the proposed solution
The proposed model that is advanced fitness model has been implemented by evaluation some major facts like:
1.Durability: These fitness bands are durable and can last long up to twelve months to twenty four months. These devices do not fade in performance and strength by providing smart usage to users (Maheedhar, et. al., 2016).
2.Ease of access: This smart wearable device is easily accessible for all users. A proper manual has been provided for better usage of the device and to ensure users that it can be accessible anytime and anywhere a user wants.
3.Cost effective: This device is available in market at very low or affordable prices. These devices do not cost much with respect to maintenance (Militaru, et. al., 2015).
4.Reliability:These fitness bands are reliable for all type of users. The performance of these types of bands is also significant so that users do not face any initiation issue.
5.Security: This fitness band ensures that no private data can be accessed by any third person. Information will only be shared with the patient and the medical professionals.
Conclusion with recommendations
In the report, general trends have been covered regarding wearable technology. The impact of fitness bands on users has been identified and all the problems are evaluated using various techniques like to improve location and tracking of data. For fitness bands, there are various flaws obtained by interviewing end users and medical professionals. To improve the faults of such bands, advanced fitness bands are introduced. This model is an enhanced version of the fitness bands and provides security to the users, provide easy access and influence different health care organizations to adopt digitization in the treatment of various health issues like heart diseases, hypertension, vision problems and much more in an individual.
It can be concluded from this detailed report that a specific solution has been provided for the given problem. The proposed system, advanced fitness bands provides users with ease of accessing a smart device that can be appropriate for improving their health issues by not applying much effort. Users just have to wear this device and further process initiates automatically without any in out provided by the end user. Fitness bands are reliable and flexible, designers can update the different versions according to the requirements made by users.
Recommendations are provided for proposed model to justify that this model can be updated whenever required and support future developments in the different functional area of an organization such as different health care organizations.
It can be recommended for the proposed model that:
1.There must be location access given for all users
2.It must be accessible on any type of computing devices like personal computers and laptops
3.A user experience fitness band must be developed
4.Devices must be designed prioritizing requirements of end users.
5.Must provide health monitoring system for different health care organizations
These recommendations will be helpful in fulfilling requirements of the target audience by contributing to future developments whenever required.
1.Altintas, E., Takoh, K., Ohno, Y., Abe, K., Akagawa, T., Ariyama, T., & Tochikubo, O. (2015). Wearable and low-stress ambulatory blood pressure monitoring technology for hypertension diagnosis. IEEE. pp. 4962-4965.
2.Anzaldo, D. (2015). Wearable sports technology-Market landscape and compute SoC trends. IEEE. pp. 217-218.
3.Bajpai, A., Jilla, V., Tiwari, V. N., Venkatesan, S. M., & Narayanan, R. (2015). Quantifiable fitness tracking using wearable devices. IEEE. pp. 1633-1637.
4.Chien, J. C., Hirakawa, K., Shieh, J. S., Guo, H. W., & Hsieh, Y. (2015). An effective algorithm for dynamic pedometer calculation. IEEE. pp. 366-368.
5.Conti, F., Palossi, D., Andri, R., Magno, M., & Benini, L. (2017). Accelerated Visual Context Classification on a Low-Power Smartwatch. IEEE, 47(1), 19-30.
6.Durbhaka, G. K. (2016). Adaptive wearable smart fabric based on body posture and temperature. IEEE. pp. 1-5.
7.Francescon, R., Hooshmand, M., Gadaleta, M., Grisan, E., Yoon, S. K., & Rossi, M. (2015). Toward lightweight biometric signal processing for wearable devices. IEEE. pp. 4190-4193.
8.Iskandar, A. A., Kolla, R., Schilling, K., & Voelker, W. (2016). A wearable 1-lead necklace ECG for continuous heart rate monitoring. IEEE. pp. 1-4.
9.Kulkarni, C., Karhade, H., Gupta, S., Bhende, P., & Bhandare, S. (2016). Health companion device using IoT and wearable computing. IEEE. pp. 152-156.
10.Laki, S., Rudas, A., Godor, I., Horvath, A., Kapitany, Z., Csabai, I., & Pollner, P. (2016,). Monitoring Patient Activity during Chemotherapy with Wearable Fitness Devices. pp. IEEE. pp. 40-44.
11.Lotfy, K., & Hale, M. L. (2016). Assessing Pairing and Data Exchange Mechanism Security in the Wearable Internet of Things. IEEE. pp. 25-32.
12.Maheedhar, M., Gaurav, A., Jilla, V., Tiwari, V. N., & Narayanan, R. (2016). StayFit: A wearable application for Gym based power training. IEEE. pp. 6290-6293.
13.Militaru, A., Frandes, M., & Lungeanu, D. (2015). Smart wristbands as inexpensive and reliable non-dedicated solution for self-managing type 2 diabetes. IEEE. pp. 1-4. (10)
14.Nejati, H., Pomponiu, V., Do, T. T., Zhou, Y., Iravani, S., & Cheung, N. M. (2016). Smartphone and Mobile Image Processing for Assisted Living: Health-monitoring apps powered by advanced mobile imaging algorithms. IEEE Signal Processing Magazine, 33(4), 30-48.
15.Nguyen, M., Fan, L., & Shahabi, C. (2015). Activity recognition using wrist-worn sensors for human performance evaluation. IEEE. pp. 164-169.
16.Nixon, K. W., Chen, X., & Chen, Y. (2016). Footfall-GPS polling scheduler for power saving on wearable devices. IEEE. pp. 563-568.
17.Yano, R., Nitta, T., Ishikawa, K., Yanagisawa, M., & Togawa, N. (2016). Pedestrian navigation based on landmark recognition using glass-type wearable devices. IEEE. pp. 1-2. (8)
18.Zhou, W., & Piramuthu, S. (2014). Security/privacy of wearable fitness tracking IoT devices. IEEE.pp. 1-5.