Add to ORKGA method of processing EMG signals for the diagnosis of Parkinson's disease in a patient, comprising a processing step based on a Wavelet analysis of said electromyographyc signals, said analysis being capable of determining a value (P:D:I:) of global cross-correlation energy, said value being indicative of the level of gravity of disease in said patient
The pre-clinical diagnostics is essential for management of Parkinson’s disease (PD). . Although PD ...
Parkinson’s disease (PD) is treated using drugs with powerful side-effects, and has similar symptoms...
Background and aim To accurately quantify the cost of physical activity and to evaluate the differen...
A method of processing EMG signals for the diagnosis of Parkinson's disease in a patient, comprising...
The Phasic Electromyographic Metric (PEM) has been recently introduced as a sensitive indicator to d...
A suite of signal processing algorithms designed for extracting information from brain electrophysio...
Parkinson's disease (PD) and essential tremor (ET) are the two most common disorders that cause invo...
The field of signal processing has many applications, one of which is in the field of biomedical eng...
L'objectif de cette thèse est l’analyse des signaux EMG de surface et leur application au diagnostic...
A statistical method for exploratory data analysis based on 2D and 3D area under curve (AUC) diagram...
Parkinson\u27s disease (PD) is a gradual progressive central neurodegenerative disorder that affects...
Parkinson's disease (PD) is the second most common neurodegenerative disease that affects a wid...
Electromyography signal can be used for biomedical applications. It is complicated in interpretation...
The tremor injury is one of the common symptoms of Parkinson's disease. The patients suffering from ...
International audienceAfter knee or ankle injury, Freeman has proposed a rehabilitation program cons...
The pre-clinical diagnostics is essential for management of Parkinson’s disease (PD). . Although PD ...
Parkinson’s disease (PD) is treated using drugs with powerful side-effects, and has similar symptoms...
Background and aim To accurately quantify the cost of physical activity and to evaluate the differen...
A method of processing EMG signals for the diagnosis of Parkinson's disease in a patient, comprising...
The Phasic Electromyographic Metric (PEM) has been recently introduced as a sensitive indicator to d...
A suite of signal processing algorithms designed for extracting information from brain electrophysio...
Parkinson's disease (PD) and essential tremor (ET) are the two most common disorders that cause invo...
The field of signal processing has many applications, one of which is in the field of biomedical eng...
L'objectif de cette thèse est l’analyse des signaux EMG de surface et leur application au diagnostic...
A statistical method for exploratory data analysis based on 2D and 3D area under curve (AUC) diagram...
Parkinson\u27s disease (PD) is a gradual progressive central neurodegenerative disorder that affects...
Parkinson's disease (PD) is the second most common neurodegenerative disease that affects a wid...
Electromyography signal can be used for biomedical applications. It is complicated in interpretation...
The tremor injury is one of the common symptoms of Parkinson's disease. The patients suffering from ...
International audienceAfter knee or ankle injury, Freeman has proposed a rehabilitation program cons...
The pre-clinical diagnostics is essential for management of Parkinson’s disease (PD). . Although PD ...
Parkinson’s disease (PD) is treated using drugs with powerful side-effects, and has similar symptoms...
Background and aim To accurately quantify the cost of physical activity and to evaluate the differen...