Biomedical handheld embedded system

Abstract EN

In recent times, most hospitals in the world are crowded and facing the problem of increasing numbers of patients, specifically with the spread of infectious viruses such as Covid-19 and other chronic diseases such as cardiac disease and Geriatrics diseases, therefore patients need continuous and accurate emergency care.

The heart rhythm disturbances, unsaturated oxygen in the blood, and high-temperature may be a high risk to the life of the patient.

Most hospitals and medical quarantines have a shortage of Intensive care units (ICU) rooms.

This paper discusses the design and improvement of the Patient monitor device for converting it to a handheld device to be small in size (L145 x W85 x D45 mm), lite Wight (398 gm.

), low-cost nearly (98USD), easy-to-use by touch screen, and secure connections to internet with (SSL) protocol[22].

The maximum errors of ECG HR is 1.408% , and SPO2 is 1.075% , SPO2 HR is 1.408% , temperature is 0.549% , BP systolic is 2.439% , BP Diastolic is 3.448% , The patient can use the device anywhere by himself, in an easy way and safely.

This device measures physiological parameters such as (blood pressure by using (MAP) method, the saturation of oxygen in the blood (SPO2) by photoplethysmograph (PPG), the electrical and muscle movement of the heart through 3Lead (ECG), temperature, and finally, Heartbeat rate by different three ways).

All data are monitoring on Smart Touch TFT, and storing the Main information of patient for more than thirty days Continuously on SD.

Also using (IoT) technology to transfer all patient information in real-time through ESP8266 to Android or Website to follow-up the patient directly and permanently by Doctor or Caretaker, The device gives some important Speech voice sentences and sound alerts to improve the health of the patient.

to design and implement the system with low cost, we are using the traditional low-cost sensors, with changing the large bulker analog circuits to intelligent signal conditioning by using (CMRR) with Sallen-Key Active filter and low-cost successive approximation 12-bit ADC MCP3208, with DAC MCP4728 and improving the efficiency by DSP software Specifically FIR and Moving Average Filter.

This paper not using any Platforms under (RTOS), but using embedded BASIC language with the wide-range microcontroller PIC18f46k22, to keep the program in small size of memory and low power consumption