Data logging from wearable and predict health status
Get intelligence reports from the data available with neura
Notify user via suitable mode based on location services
Save energy from non physical activities by taking assistance from dynamic learning bot
Nothing is done without Mental health
Inspiration : Diabetes is one of the disease which is undying and needs constant care with short and long term effects.The patient must always be aware of his diet,work,medication..., To remove impact of diabetes on daily life and prevent long term consequences by daily care.There should be time to time monitoring of their glucose levels and should be balanced with diet and exercise adding stress on patient which further increases the risk.The busy lifestyle makes us unable to focus on our body needs which undermined for long times may lead to unanticipated health complexities.So to promote health by prompting and incorporating healthy regime with combination of sensors,wearables,voice technologies and mobile apps.
What it does : Main concern is to reduce the incidents of breaking down due to drop of glucose levels in daily life.
1.Energy and diet balance : By constant monitoring of body parameters like sweat,pressures of fluids in the body,temperature,heart beat,...... and communicating with the person to act on it.Voice technology is used to establish a friendly yet impact able note to act on it by suggesting to fit the body necessities.Prompts to take medicines,food and basic body relaxation 2.Prevention:The long standing of unregulated glucose levels leads to Neuropathy,Nephropathy,Retinopathy.To prevent them exercise and medications are to be regularized. 3.Study and analysis:The data from the sensors is analysed to predict the cases of fall outs(dizziness) ,hypoglycemia attacks and alert the patient.The study also helps to set diet, medicines and anticipate future health concerns .
1.Wearable MEMS,biosensors,polymer sensors combination to obtain body parameters in invasive way.
2.Mobile app to process and interface with patient.
3.Design wearable basic physiotherapy devices.
Obtaining data and synchronizing with app to monitor body continuously.
AI:Analysis of data from wearables and predicting when the patient is likely to fall out.Uses anomaly detection
and other learning techniques to mine the data.
Location services:To learn the patient activities and choose apt way of communication and services based on
their current location.Example : To learn whether the patient is at home,work... and using appropriate way to
provide services like if at home voice services are used to communicate if at office messaging services...When
any incident is predicted the patient is alerted to order food nearby ,call someone ...by using voice activation.
There are already build mobile supported location based AI services like Neura,TRNQL....and many smart
Voice services:Communicating the body condition and nursing patient about the doable activities.Assisting in
other works like sending email ,order food,etc by using voice technology.The patient can inform the details of his
food consumption to app by voice without any overheads of texting for better understanding of their diet.
Extending the voice services to any app or work to customize for patient use by Text to Speech and Speech To Text with speech recognition of patient to save energy draining in nonphysical work.So, it acts as dubbing support ,personal assistant ,nurse... Example:If the body sweat level is increasing it checks with location services and activity if there is no physical activity detected it checks with other parameters like time lapsed after last food intake,temperature of surroundings etc and asks to consume food immediately, prompts to order or event order something nearby itself by pre data or patients instructions ... There are many Bots,NLP supported to provide voice and generate conversational interface support like amazon lex,ibm watson... Wearable physiotherapy:The main effect of diabetes is on nerves mainly of hands and feet.A physio therapy devices controlled by voice or app or from remote professional could help without spending time and also reduces stress and fatigue.The devices pressure,position etc are controlled by voice or the person can actually massage him self from app. Example: Taking a reference like Talking Tom app where the activities of cat are done by rolling fingers same way u can visualize your body on app and move,pressurize,etc by controlling the device from app. Psychological support: Diabetes may lead to psychological disorders and stress.The app provides
introspection ,motivation by communicating with user and analyse their state of mind. Example : Talking with user like a real human and study their moods and suggest activities to improve it. The app helps to manage all possible effects of diabetes and with AI support the better understanding of patient anatomy is possible which helps in diagnosis.Main aim is to utilize all available technologies to handle diabetic patients efficiently. We cant root out diabetes but why not erase the chaos and regularize the life.