Prediction Falls

The fall detection application informs the consequences of falling, but it would better if we can prevent people, especially the elderly, from the accident. We introduce a fall prediction system which allows us to analyze the walking pattern of the user with cutting-edge sensors and a camera to model a normal pattern of the activity. Therefore, if the walking happens to be out of the normal pattern, the device informs us about the risk of falling. This system utilizes real-time signal and image processing procedures using AI-assisted algorithms based on machine learning and sophisticated deep learning neural networks, making our system more accurate. The device will be mounted on a belt worn by the user. This application assists you to care for your loved ones, noticeably lowering down the risk of their falling

• Add your family and relatives form contacts to the app
• Inform your contact about the early warning signs.
• The emergency massage will be sent to the chosen contact

“Many older people (care recipients) experience long-term psychological distress due to the fear of falling again. Falls can affect carers due to concerns about their care recipients falling. Understanding carers’ fall concern is crucial to determine if carers are coping with the provision of care or have adequate knowledge and support in preventing their care recipients from falling at home.”

Here you are! The new version of FallShield app has been developed with incredible success. Now, in addition to the previously announced detection system, it is capable of alerting a fall accident in advance by “Prevention” functionality. The integrated app will be published on Google Play once the test are accomplished. Look forward to be informed of the upcoming news!

The post covers: “How understanding why aging adults fall can help you keep an older parent — or yourself — safer, Why personalized fall prevention plans work better than relying on general fall prevention tips, The four-step process I use to help older adults prevent falls, A practical example showing you how to use these steps to avoid falls yourself.” We can add using the Fallshiled app for detecting and preventing falls to the content for obtaining the highest degree in elderly healthcare.

According to a news published on The New York Times “As the population ages, the number of older Americans who die following a fall is rising. A study published Tuesday in the medical journal JAMA found that for people over 75, the rate of mortality from falls more than doubled from 2000 to 2016. Researchers analyzed information obtained from death certificates maintained by the federal government’s National Center for Health Statistics. In 2016, the rate of death from falls for people 75 and older was 111 per 100,000 people, they found. In 2000, that rate was 52 per 100,000 people.”

CEO

Hossein is an experienced electronics and software specialist with extensive product development experience. He has previously managed several different size technical companies, making him an ideal person to lead the technical development of the company.

CTO

Mehran is the physician of the team who will lead the team and responsible for technical part of the company. He makes this team and this fall detector unique as this detector performs inverse medical analysis to determine patients medical status based on person’s after fall superficial data , making him an ideal person to lead the technical development of the company.

CMO

Arash has studied exercise physiology with extensive experience in fitness & health, in addition in project management. His background and experience, as well as his past performance in his previous activities makes him an ideal CMO to lead the overall company’s strategy for sales and marketing and implement business strategies.

CFO

Samira is an experienced accountant who will be in charge of company’s finance including budgeting, financial forecasting, controlling and reporting.