Aging Population And Need For Support For Independent Living Using Wearable Devices

Innovations in mobile technology have brought remote healthcare management to the forefront of advanced medical care. The ability to record the cardiac activity of a patient at home has been available for some time. But that method utilized a recording device worn by the patient, which needed to be brought in to a hospital or doctor’s office for a healthcare professional to analyze. Today, real-time monitoring in the patient’s home is a reality.

As consumers utilize smartphones, tablets, and other devices for other functions like social media and email, they are starting to look at these features to assist them with their healthcare. Mobile body area network devices will be a growing trend in the coming years as a way to get patients engaged in their healthcare and also to give providers routine updates on the status of patients with chronic conditions. As DeGaspari (2014) indicates, these devices can lead to improved functionality for other devices used in hospitals, such as sensors for monitoring patients that might get up and wander or be a fall risk. Telemedicine will continue to grow as payers, providers, and patients all start to realize the mutual benefits that can be

1. Was I aware of the laws pertaining to students’ rights regarding accessing assistive technology?

Cutting edge technology like household sensors grow to learn the habits of a senior to ensure they are doing well. If the system doesn’t register the senior moving from their bedroom at a certain hour or other daily routines, an alert will go out to notify proper responders. In other areas of need, Selfhelp understands the importance of interaction. That’s why their Senior Source technology transports seniors into classrooms and activities with skilled teachers and other seniors. By doing so, everyone is able to socialize and think

Today, the company has built a powerful platform for home healthcare that integrates wearable, sensors, voice technology and intuitive mobile apps and desktop interfaces for patients monitoring system at home. In addition, CareKit Health allows complex patients with chronic diseases to receive high quality care at home that results in improving

Currently the biggest areas being telehealth for the elderly are diabetic control, heart monitoring, and standard daily vitals. The most interesting piece of equipment used to monitor these is the Healthstats watch (Bartz, 2014). The Healthstats watch monitors pulse, heart rate, O2, sleeping statistics, and patient activity. The only issue that most manufacturers have come across is monitoring blood pressure with a watch because of how much power it consumes.

Mr. Tim is a 52-years-old, Caucasian male, married, born in LaSalle, IL. He lives in an apartment since April 2013 with his wife and son. His family supports his efforts with everything. His present source of income is SSDI. He drove trucks for thirty years and is interested in becoming a dispatcher for trucking company. He is not going to school at present but would be interested in going to school to become a youth counselor.

Biofeedback is sometimes a very confusing topic. It refers to the use of electronic, medical devices to give more auditory, verbal, and visual information back to the body about how it is working. For example, during biofeedback when a person tries to relax his muscles, he can hear a sound telling the degree of relaxation. Or if a person is to slow his pulse, he can hear or see his pulses more easily than by just feeling the pulse. By hearing the pulse, it is easier to try to manipulate it with his conscious control. This is also done with temperature control. When people are nervous, their hands might get colder or sweaty and warmer.

A study by Lauriks et al.,(2012, pp.233) reveals that Information and Communication Technology (ICT) devices identifies thirteen interventions that are focused on wandering behavior of the dementia people. The purpose of this device is to detect the wandering behaviour and timely management for the risk. The examples of (ICT) are Global Positioning System (GPS): to detect the location of a person, wristband that activates the boundary alarms, floor lightning system that are activated with the movement of wandering person, communication system instructing person to return to his bed and alarm alerting the caregiver for wandering behavior of person. The study was completed in residential home, hospital and home settings. The effectiveness of the use of ICT was found to be reliable, effective and successful detecting the wandering, finding the lost person and reduced the stress to the care giver. However, the method is only to detect wandering person but not the treatment but the early detection decreases the risk of fall injury and other injury associated with

Abstract— In this paper, remembrance of body posture and motion is an important physiological function that can keep the body in balance and give the confidence to person. There are many man-made motion sensors have also been widely applied in biomedical applications including diagnosis of balance disorders and evaluation of energy outlay, calories consumption calculation. This paper reviews sensing components utilized for body motion measurement. The working principles of a natural body motion sensor, pulse rate of heart, are first described. Here various components like accelerometer, pulse rate sensor, ARM10 are then elaborated based on their characteristic sensing mechanisms. In this paper by introducing small, low cost, better sensors with a wireless network, the novel project aim to provide a path towards more independent living for all kind of people and play important role in basic research as well as hospital diagnosis.

There are prospects of developing assistive technologies to support care of the older adults using research work on HAR. E-Health systems like AAL can be developed by using patients ' routine data provided by activity recognition. The most common methods used to recognize human activity are image processing and usage of wearable sensors. Though image processing doesn 't require patient to wear any equipment, it has some major problems such as requiring installation of cameras and good light. In addition, its operations are restricted to indoor environments and users have privacy concerns. The use of wearable sensors has addressed all these problems, but requires wearing of equipment by the user for long durations[1]. In this paper, I discuss various models built using SAS® Enterprise Miner™ 14.1, on a free public domain dataset containing 165,633 observations and 19 attributes and compare each model with another . Data used in this discussion, represents the metrics of accelerometers mounted on waist, left thigh, right arm, and right ankle of 4 subjects performing five different activities. These activities, such as sitting-down, standing-up, standing, walking, and sitting, recorded over a period of eight hours of four healthy subjects is used for our analysis.

The major challenge that such ubiquitous systems face is being aware of the impact of their decisions and actions over time so that they can reason about the outcomes of their actions and learn from their mistakes as humans do. Context [1] is defined as any information that can be used to characterize the situation of an entity, where an entity can be an object, place or person relevant to the current scope of the system. Context data drives the decisions and actions in an ubiquitous environment. Making well-informed decisions is a key to reduce the risk of negative outcomes. For instance, in healthcare applications, it is crucial to have high confidence in the quality of the information upon which decisions are based.

Unlike these researches, we propose the general framework for telehealth system with its adaptive feedback action capability by combining human activity recognition and autonomous reconfiguration. The wearable adaptive biofeedback (WAB) has been integrated with BAN, wide area network (WAN), internet area network (IAN) that can ready-to-use for the actual system building. Although the WAB is initially designed to use for the telehealth system, it is not limited within health care application, but it

In the contemporary gadgeted era, human patients are continuously monitored during their stay in the hospital. It gives rise to inconvenience and psychological strain to the patients during their stay in hospitals. Factors like trauma, pain, treatment cost, time spent and human energy also add up to the stress and health detoriation, which leads to early discharge from hospital care. This heath issue can be carried over at home as well with minimal or no monitoring. To avoid this kind of issues, improving the monitoring facilities and identifying the health condition before the emergency in remote areas or at patient’s home can be done by using Wireless Body Sensor Networks (WBSN).

Applications of low-power integrated intelligent sensors [1–8] have been prolific in recent years, including, for instance, in environmental observation [9–11], security surveillance [12, 13], infrastructure monitoring and communication [14–17], and biomedical health care monitoring [18–21]. In particular, as the baby boomers approach retirement age, medical expenses become significant. For example, in 2014, health care accounted for 28% of US federal spending [22]. One major problem with current health care systems is that sensing and processing medical data require significant resources. To alleviate this problem, wearable medical devices [23–27] are expected to provide automatic monitoring and