Abstract

Many people, young or old, adult or children live with life-threatening health conditions and deal with frequent visits to the doctor's office or a healthcare facility for blood tests. Blood tests are one of the key processes that aid in examining people's health. Although people with certain illness can check certain blood properties at home without professional help, most people require going to a place where their blood may be analyzed in a laboratory environment to examine the state of their illness. Frequent visitation to a medical clinic for blood tests is exhausting and expensive. This periodical process leads the patients to being depressed and, over time, careless about their health. In this study, we introduce a wireless system, Non-Invasive Real-Time Blood Observation System (NIRT-BOS). NIRT-BOS will be able to read blood properties via body sensors and report the results online and, depending on the patientpsilas wishes, off line. NIRT-BOS will offer continuous blood data collection capabilities with the ability to detect a problem and signal a warning in real time. We are developing NIRT-BOS based on life experiences of people with chronic illnesses such as diabetes, heart, kidney or liver diseases. The main purpose of this study is to help the frequent visitation struggles of people who live with certain health conditions and, most importantly, to be able to give them a sense of security, independence, and, to some degree, give them the peace of mind which comes from being free from the worry of their illnesses.

Keywords:
Worry Vital signs Medicine Medical emergency Health care Warning signs Feeling Process (computing) Psychology Internet privacy Computer science Psychiatry Social psychology Engineering Surgery

Metrics

1
Cited By
0.22
FWCI (Field Weighted Citation Impact)
12
Refs
0.62
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Wireless Body Area Networks
Physical Sciences →  Engineering →  Biomedical Engineering
IoT and Edge/Fog Computing
Physical Sciences →  Computer Science →  Computer Networks and Communications
Context-Aware Activity Recognition Systems
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
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