Micro Assistant project

Micro Assistant project

Thousands of patients have to visit clinics for ECG diagnosis, to investigate lung function, stay at home under the supervision of their relatives. Hundreds of patients are confined to hospital beds and wired to bulky and expensive medical devices. Sick children's parents can't sleep well to run to measure their pulse and temperature every hour. Most athletes are limited to primitive self-control, since it is rare for anyone to get to professional load testing and get advice when their health deteriorates. Fitness bracelets and trackers are recognized as superficial diagnostic devices, but they are sold by the millions. There is a need for compact, highly informative, but comfortable monitors that can be worn on the body without noticeable sensations and irritation, and wirelessly transmit data to a mobile phone, tablet, computer, IoT network, etc.

The solution became possible thanks to the development of microelectronics and IT-sphere. But it will be halfway if you create only a miniature device, but not provide it with a complete mobile application, and the app will not interact with a remote server and a professional consulting center.

A number of global companies (Apple, Samsung, Garmin, Fitbit, etc.) have created smart watches and wearable heart monitors, but their functions are limited, as well as the capabilities of the mobile app. This is still primitive household appliances. The manufacturer's remote portal does not provide medical advice and does not provide such important services as continuous home or production monitoring, night monitoring, step-by-step load testing, monitoring of breathing and temperature, body position, etc.

Delfidia Ltd. (Belarus) developments are based on many years experience of design and engineering software products for medicine and sports. Portable telemedicine devices have already been created and their production has been started: cardiogadget, pulmogadget, glucometer, dosimeter–weather station, and new devices are being designed for clinics, homes, and sports. A number of mobile applications represent not only patient's interests, but also a cardiologist's, sports doctor's, trainer's, physiologist's, physical education teacher's, etc.

The remote server software can handle a large stream of data that is processed according to medical methodology and viewed by an on-duty expert. The night monitoring mode of ECG and respiration has been tested on volunteers and is of genuine interest to chronic patients, athletes, and researchers. Continuous monitoring of signals is of interest to specialists in occupational health and safety, aerospace medicine, control of  transport drivers, etc.

LLC "Delfidia" created a miniature microprocessor module for simultaneous monitoring of ECG, respiration, body temperature and posture. It can be fixed on the patient's chest in the form of a wearable "patch" 150x20x10 mm or less. The solution involves using 2 or 3 disposable ECG electrodes fixed on external clips. The connection with the clips can be minimized, i.e. the electrodes can be fixed on the board, using latches. All electronics are powered by a miniature battery inserted into the board slot. A distinlctive feature of the development is the use of a new generation Bluetooth chip that saves power and increases the range of wireless signal transmission - to PC or smartphone. Through a special electronic gateway, data can go to the Wifi channel and then to the Internet, bypassing the user's smartphone.

Thе Delfidia Cardio Monitor mobile app provides an ECG broadcast to a remote server, and the accompanying the Observer app allows patient's doctor (or relative, trainer, itc.) to monitor the signal in real time on their mobile phone "from the comfort of their home". ECG analysis is performed both on the server, with the participation of an expert on duty, and in the user's smartphone.

It would be actually to solve the problem of synchronous transfer to the server of breath and body temperature signals, accelerometer readings, create programs for processing these signals, building trends of the most important cardiorespiratory system indicators, algorithms for interpreting the examinee's condition, and predicting his health. Taking into account lung diseases global growth, we see the problem of lung functions mass monitoring with their deeper research than is proposed in the basic chip.