This paper presents a wearable electrophysiological interface with enhanced immunity to motion artifacts. Anti-artifact schemes, including a patch-type modular structure and real-time automatic level adjustment, are proposed and verified in two wireless system prototypes of a patch-type electrocardiogram (ECG) module and an electromyogram (EMG)-based robot-hand controller. Their common ExG read...

UNLABELLED Removal of electrocardiographic (ECG) contamination of electromyographic (EMG) signals from torso muscles is often attempted by high-pass filtering. This study investigated the effects of the cut-off frequency used in this high-pass filtering technique on the resulting EMG signal. Surface EMGs were recorded on five subjects from the rectus abdominis, external oblique, and erector spi...

The muscle activity, electromyographic (EMG) signal steadiness and relationships between the EMG signal and endurance time among males and females have long been investigated and continue to be a subject of controversy. The aim of this study was to explore the electromyographic effects on the biceps brachii (BB) muscle of male and female subjects during prolonged isometric contraction (for 90 s...

On *A Eng Signal processing has become a core technology in medical devices today, as it is crucial in a wide range of applications. It is used to automate the measurement of various signal characteristics, which previously was done manually and, as a result, subjectivity is reduced and reliability is increased. Another purpose is to filter out undesired signal components of technical or physio...

AN INFRARED DEVICE TO MEASURE THE EYEBLINK FOR THE STUDY OF CLASSICAL CONDITIONING By Alka Patel The classically conditioned eyeblink response is studied by various groups to study neurological functions. This is a form of associative learning that has many features to help diagnose and learn about neurological diseases. Electromyogram traditionally is used to detect eyeblinks for this experime...

the record of human brain neural activities, namely electroencephalogram (eeg), is generally known as a non-stationary and nonlinear signal. in many applications, it is useful to divide the eegs into segments within which the signals can be considered stationary. combination of empirical mode decomposition (emd) and hilbert transform, called hilbert-huang transform (hht), is a new and powerful ...

An inspection of signal processing approach in order to estimate underwater network cardinalities is conducted in this research. A matter of key prominence for underwater network is its cardinality estimation as the number of active cardinalities varies several times due to numerous natural and artificial reasons due to harsh underwater circumstances. So, a proper estimation technique is mandat...