Personal Digital Health Twins


Have you ever had an unpleasant feeling of anxiety regarding your loved one’s while being away from home?

Or someone you care about is socially isolated at home or discharged from hospital?

Like during global outbreaks COVID-19 (SARS-COV-1,2, etc.)?

How are they? What’s happening now? When assistance is needed? 

Can modern intelligent digital technology help monitoring personal health at homes and assist people in health management, wellbeing and if something goes wrong?


All these questions take away the peace of mind of many people on this planet who, by various reasons, have to live or be away from their parents, grandparents and relatives working in different places, cities and countries. The number of people living at their homes alone like elderly or people with a variety of health problems or patients discharged from hospitals after Coronavirus and other treatments increase each day.

If one searches the Internet for practical options to monitor personal health and activities at home, the results typically reveal many solutions called Remote patient monitoring, Telemedicine, Telecare, Telehealth, Ambient Assisted Living (AAL), etc.

Its growing number reflects the increasing needs of people, their growing demand which is facilitated by fast advancements in wearables, various sensors and IoT. Typically health data (pulse, steps, fall, sleep, blood pressure, temperature, etc,) is collected and transmitted to mobile phone apps or special cloud software to provide analytic charts, measurements and relevant generic recommendations.

Becoming a common trend, such solutions gradually lead to significant change in approach to remote health monitoring. However, the experiments and practical applications in many countries revealed several major drawbacks that hinder wide use of the digital solutions as follows:

1. Scale of monitoring: There is a magnitude of diverse heterogeneous real-time data that needs to be monitored automatically at homes on the regular basis. Mobile phones are not designed for such mission critical data processing. And sending big real time data to clouds brings a variety of issues (traffic, overhead, reliability, costs, dependence on provider, latency, etc.).

2. Complexity: Many of these solutions are too complex technically and costly in its use and require special knowledge to interpret the analytic results. At the same time, they are limited in the capacity to assist users intelligently and keep their relatives and caregivers updated in a way that minimizes the overhead and needs for continuous monitoring.

3. Lack of interactivity and intelligence: The majority of the solutions are lack of personalised intelligent interactivity (voice conversations, video, images, animations) realised by automated AI driven communications with the target user groups that are important for the people who live alone or have health issues. However, psychological positive personal interactions are natural and important for social human beings. Voice conversation, exchange of comments and opinions and news, video messages and content, images, animations are  key factors of psychological comfort and well-being. The availability of rich and high-quality content can effectively help to cope with various negative effects of loneliness, improve physical and mental health, decrease depression, suicides, cardiovascular disease and strokes, increased stress levels, etc.).

4. Monitoring all the time by looking into the screens? No way!

We all are busy with a magnitude of various daily issues and do not have the possibility to look into the monitor screens switching between different data and analytic charts! This is the job for Digital Twins with AI!

5. Total costs of the integrated solution and the complexity of its use

There are many pieces of existing hardware and software that need to be brought at home for intelligent remote health and well-being monitoring. Most of it works independently and rarely meets the interoperability requirements. Each device usually has separate, often proprietary connectivity protocols, data formats, controls and mobile apps that quickly brings up the total costs of ownership and significantly complicates the use and maintenance especially by people in age. There is the utmost need to have all solution components working together to minimise total costs and make the use easy and simple to its extremes.  


Monitoring “Smart Person @ Smart Home” as a whole complex living system

Our company introduced a new concept of Intelligent Digital Twin application running at AI-, Big Data- and IoT - driven platform PharosN as new digital health technology. It works as a Virtual Nurse at a patient home who has similar intelligence as a human but differs significantly in its capacity to collect and process big data streams of measurements of biometrics and living conditions. 

As a proof-of-concept prototype, it was tested in the lab and Horizon 2020 project experiment SmartMozionAge 2019 and is introduced into a number of new international projects.

Our comprehensive proposal for the project financing received the Certificate “Seal of Excellence as COVID-19 Response” by the European Commission, as the institution managing Horizon 2020, the EU Framework Programme for Research and Innovation 2014-2020. Following evaluation by an international panel of independent experts, it was scored as a high-quality project proposal with relevance to COVID-19 in a highly competitive evaluation process and is recommended for funding.

The Digital Twin assistant instantly monitors health and living conditions as follows:

  • Learning about personal factors an individual based on accumulated data (age, weight, height, gender, specific diseases, treatments, etc),
  • Analysing each piece of measurement data with AI and Big Data methods,
  • Analysing all ongoing processes all together in real time to identify holistic status of whole living system

      “Personal Health + Activities + Home environment + Safety”

  • Calculating all necessary indicators that include various bio-medical, physiological, psychological, activity, environmental and others optional 24/7/365
  • Informing the person as Physical Twin and his/her informal and formal caregivers about ongoing or predicted status of the whole system "Smart Person @ Smart Home"

The message may look like:

      Mom is fine! (time, day)


       Granddad has a problem! (details, explanations and optional action recommendations)

And more: In case the health status or its trend is calculated as critical, such a system shall automatically contact the relevant predefined parties e.g. neighbours, relatives, caregivers and healthcare, to act immediately as there is no time to wait …

The main concepts and components of the solution are illustrated below at the diagrams and include as follows:

  • Digital Virtual Twin Model presenting all key home living processes as complex dynamic system, The model has and is upgradable for adding various biomedical and other indicators, sophisticated health and behavioural models, include home plan and IoT details, smart sensors for movements in doors, rooms, optional medical diagnostic equipment, interactions with various devices including mobiles, smart speakers, security and safety.
  • Instant collecting data from all data wireless sensors and wearables available in/out-doors and its transforming into the health and wellbeing indicators and the health status
  • Communicating the status and its trends as predictions to predefined groups of recipients (the person as main user, informal and formal caregivers)
  • Providing authorised stakeholders with focused recommendations as prescription analytics regarding necessary or optional actions and activities facilitating well-being,
  • Fostering active memories, interactions and social inclusion with friends, relatives, social networks, etc

The solution integrates latest open source software, commercially available inexpensive quality hardware components and wireless technologies such as Bluetooth 5 BLE, Zigbee 3, Wi-Fi 6, LoraWan, 4G/5G and complies with relevant major standards of cybersecurity. The whole service package is made affordable and cost-effective.


 The implementation status

The pre-commercial prototype is in beta testing and planned for release during Q3/2020. The initial minimum viable product will include as follows:

  1. Hand wearable smart health bracelet
  2. The set of home environmental and activity sensors
  3. Mini-PC running the Digital Twin to collect health and environmental data from the sensors in real time
  4. Mobile apps (phone and tablet) to let interactions between the Twin and Users and  access to monitoring analytics
  5. Tools to link additional sensors and other devices to the twin model expanding the scope and sophistication of the monitoring services.

The results: The Personal Digital Twin at home provides valuable medical advisory, health reminders and alerts, home safety alerts, detects of falls and other home related wellbeing issues improving quality of life that, in its scope, are similar to the Virtual Nurse living at home.

All these make it possible to be assured that our elderly or physically limited loved ones or patients isolated at homes like in COVID-19, are doing well, even when we are not around. And they, as actual users, can feel more independent and less of a burden on other people, experiencing more convenience and comfort.

At the same time, healthcare centers can extend their services to their patients' homes and increase their capacity for caring for a larger number of people while improving the quality and transparency.

Does it sound interesting for you?

Let us know.

We look for financial support in the commercialization and early adopters.

If leaving a message please note in its subject the keyword  "HealthTwin" .

Serguei Golovanov

Founder and CEO




1. Home components supporting health and living environment monitoring 

Personal eHealth Assistant for remote patient monitoring by virtual twin


2.  The intelligent health managment and monitoring ecosystem 

Intelligent Personal Well-Being Assistant Ecosystem