![]() ![]() ![]() Patients suffering from these conditions lose volitional movement control even though their limbs are still intact. Examples include spinal cord injury, stroke, amyotrophic lateral sclerosis, etc. Besides amputations, various neurological disorders or injuries will also affect one’s movement ability. The figure is expected to be more than tripled to 3.6 million by year 2050. In 1996, a national survey revealed that there are 1.2 million people living with limb loss. Concerted efforts from material scientists, electrical engineers, and healthcare professionals are needed to further advance the field and make the technology widely available in clinical use.Įvery year, it is estimated that more than 180,000 people undergo some form of limb amputation in the United States alone. Although great strides have been made in human motor decoding, we are still far away from achieving naturalistic and dexterous control like our native limbs. Examples of applications and the current state-of-the-art performance were also reviewed. We systematically discussed the sites of signal acquisition, available neural features, signal processing techniques and decoding algorithms in each of these potential interception points. Neural control signals can be intercepted at various points in the neural signal transduction pathway, including the brain (electroencephalography, electrocorticography, intracortical recordings), the nerves (peripheral nerve recordings) and the muscles (electromyography). We reviewed the various strategies to decode motor intention from human and their respective advantages and challenges. Here we will review the latest developments in human motor decoding. Fortunately, with modern neurotechnology now it is possible to intercept motor control signals at various points along the neural transduction pathway and use that to drive external devices for communication or control. Many people suffer from movement disability due to amputation or neurological diseases. ![]()
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