The safety of patients and the quality medical care provided to them are vital for their wellbeing. This study establishes a set RFID (Radio Frequency Identification)-based systems patient based on physiological signals in pursuit remote system. RFID-based positioning system allows staff continuously observe patient's health location. can thus respond emergencies time appropriately patient. Whe...

the objective of this study is development of driver’s sleepiness using visually evoked potentials (vep). vep computed from eeg signals from the visual cortex. we use the steady state veps (ssveps) that are one of the most important eeg signals used in human computer interface systems. ssvep is a response to visual stimuli presented. we present a classification method to discriminate between cl...

background: since tumors located in thorax region of body mainly move due to respiration, in the modern radiotherapy, there have been many attempts such as; external markers, strain gage and spirometer represent for monitoring patients’ breathing signal. with the advent of fluoroscopy technique, indirect methods were proposed as an alternative approach to extract patients’ breathing signals. ma...

Background: Electroencephalography (EEG) has vital and significant applications in different medical fields and is used for the primary evaluation of neurological disorders. Hence, having easy access to suitable and useful signal is very important. Artifacts are undesirable confusions which are generally originated from inevitable human activities such as heartbeat, blinking of eyes and facial ...

Artificial Intelligence (AI) has broadly connected the medical field at various levels of diagnosis based on congruous data generated. Different types bio-signal can be used to monitor a patient’s condition and in decision making. Medical equipment uses signals communicate information care staff. AI algorithms approaches will help predict health problems check status organs, while prediction, c...