3. Wearables for health

A dominant area of wearables is health. It is aiming to predict and treat common cases by acquiring and processing physiological and environmental data. Wearable technologies allow consumers to be better at converting personal, biological and environmental data into valuable consumer insights. Wearables can transmit the data to and from the consumer at the appropriate time, creating new consumption experiences that can improve the landscape of health and fitness. These insights may turn into holistic decisions and goaldirected actions, especially if patients allow the access to their physiological data, collected from wearables. A new generation of wearable sensors enables physicians to capture long-term-patients' activity levels and exercise compliance, facilitating effective dispensing of medications for chronic patients and provide tools to assess their ability to perform specific motor activities, and propose rehabilitation solutions.

Wearables enable remote health monitoring of patients [7, 8]. The data are sent from the wearable to the physician's office, avoiding the need for office visits. The ability to continuously track patients' health helps identifying potential problems through preventive interventions and so enhances the quality of care and save money, since the cost of prevention is most cases is less than the treatment cost. The resulting higher quality of care at lower cost would also contribute to better operating efficiencies and lower overhead costs for insurance companies, as resources can be better spent on providing care and not on measures to ensure high quality of care is being provided. This is where wearables have a critical role to play in creating and serving as the core of an ecosystem essential for facilitating the seamless transformation of data to deliver value.

Healthy lifestyle improves employee's productivity and lower absence rate [9]. Insurance companies can collect its activity and sleeping data to leverage the data for personal insurance plans and reward employees for good health score. An American insurance company issued a wearables based health program pilot, which continuously collects invasive and noninvasive data, such as vital signs. Artificial intelligence provides an added value to healthcare with a focus on diagnosis, treatment, patient monitoring and prevention.

### 3.1 Personalization

The doctor, with the help of a software expert can quickly create a program based on the needs of the patient. Early diagnosis: precise medical parameters allow early detection of symptoms. Remote patient monitoring: healthcare professionals can monitor patients remotely and in real-time using wearable devices. Adherence to medication: help patients to take medications on time and inform medical professionals if the patient fails to adhere to medications. Information registry: the data are stored in real time allowing an exhaustive analysis of the information. The result Wearable Devices and their Implementation in Various Domains DOI: http://dx.doi.org/10.5772/intechopen.86066

is a complete and precise report about the patient's medical history, which can be shared with other specialists. Optimum decisions: the doctor can analyze the data to make better clinical decisions, to enhance the patient's quality of life. Saving healthcare cost: remote healthcare using wearable devices means saving time and mobility.

Recent emergence of new materials accelerates the development of non-invasive skin-based wearable devices [10], which are expected to be compatible with human skin: flexible, stretchable and less irritating, and comply with: sensitivity to changes in body temperature, changes in the body and an adequate detection limit. Following are several examples of skin-based devices in healthcare applications: predicting a sudden attack and providing the means to cope with it; detecting genetic cancer syndromes or rapid changes in heart-beat rate; early evidence of vascular events; detecting abnormal respiration rate; monitoring body temperature and biosensing clothing. Wearable strain sensors are used for detecting and monitoring of movement-based signals, such as heart-beat rate and respiration rate. It is lightweight, reliable, flexible, stretchable and aligned with the diverse healthcare applications.
