The embodiments of the present disclosure are for a signal processing circuit. The signal processing circuit includes an analog circuit. The analog circuit is used for processing an initial signal it receives. The initial signal includes a target signal and a noise signal. The analog circuit includes a first processing circuit and a second processing circuit. The first processing circuit is used to increase a ratio of the target signal to the noise signal, and output a first processed signal. The second processing circuit is used to amplify the first processed signal. A gain multiple of the second processing circuit to the first processed signal varies with a frequency of the first processed signal. The first processing circuit includes a common mode signal suppression circuit used to suppress a common mode signal in the initial signal, a low-pass filter circuit, and a high-pass filter circuit.

A body worn patient monitoring device includes a flexible substrate having a plurality of electrical connections adapted to be coupled to a skin surface to measure physiological signals. The flexible substrate is adapted to be directly and non-permanently affixed to a skin surface of a patient and configured for single patient use. A communication-computation module, removably attached to an upper surface of the flexible substrate, is configured to receive physiological signals from the flexible substrate and includes a microprocessor that is configured to process and analyze the physiological signals. A series of resistive traces screened onto the flexible substrate are configured as at least one series current-limiting resistor to protect the communication-computation module.

Neuromuscular monitoring is described that uses a novel lead assembly and a monitor that can select the appropriate electrodes on the lead assembly and calibrate the stimulation signals applied to the patient through the lead assembly. The monitoring can also set a noise floor value to reduce the likelihood of an erroneous train of four ratio.

Neuromuscular monitoring is described that uses a novel lead assembly and a monitor that can select the appropriate electrodes on the lead assembly and calibrate the stimulation signals applied to the patient through the lead assembly. The monitoring can also set a noise floor value to reduce the likelihood of an erroneous train of four ratio.

A device detects electric potentials with measuring inputs (7) for connection to measuring electrodes (9), which can be placed on the body of a patient (3). Measuring amplifiers (Op.sub.1, . . . , Op.sub.N) have a first and a second input as well as an output (11). A summing unit (13, 23) is connected to the outputs of the measuring amplifiers and sends a signal proportional to a mean value of the signals of the outputs of the measuring amplifiers to an output (15, 17) of the summing unit. Each of the measuring inputs is connected to a first input of a measuring amplifier. The second input of each measuring amplifier is connected to the output (17) of the summing unit. A potential output (19) connects to an electrode and to an output of a further amplifier Op.sub.c), with an input connected to the output (15) of the summing unit.

A device for detecting electric potentials includes a plurality of measuring inputs (9) for connecting to measuring electrodes (11), which can be placed on the body of a patient (3), a plurality of measuring amplifiers (Op.sub.1, . . . , Op.sub.N), and a potential output (27) for connecting to an additional electrode (31), which can be placed on the body of the patient (3), to which a preset voltage can be applied. A summing unit (17) sends a signal, which is an indicator of the mean value of the signals sent by the measuring amplifiers (Op1, . . . , OpN). A current-measuring device (29) sends a current signal, which is proportional to the current flowing through the potential output. An analyzing unit (35) is connected to receive a potential output voltage signal, the summing unit output (19) signal and the current-measuring device signal. The analyzing unit is configured to generate an impedance signal from the fed signals.

Methods and apparatuses for sensory electrical stimulation of the peripheral nervous system to improve human motor function and performance are described. Methods and devices may be used to enhance physical performance of athletes, professionals, and gamers or improve motor function (hand, finger and limb movement) in patients rehabilitating from neurological deficits and impairments caused by stroke, traumatic brain injury and other neurologic or non-neurologic conditions. These apparatuses and methods may be used for physical training and mental training (to improve memory and functional performance including motor coordination, limb-eye coordination, occupational and recreational skills) through periodic or sustained sensory electrical stimulation. Treatment plans may be based on biomarkers and may be used alone or in combination with other apparatuses. Learning and feedback techniques individualize treatment parameters depending on the subject's neurologic and motor function in diseased patients and healthy users.

Methods and apparatuses for sensory electrical stimulation of the peripheral nervous system to improve human motor function and performance are described. Methods and devices may be used to enhance physical performance of athletes, professionals, and gamers or improve motor function (hand, finger and limb movement) in patients rehabilitating from neurological deficits and impairments caused by stroke, traumatic brain injury and other neurologic or non-neurologic conditions. These apparatuses and methods may be used for physical training and mental training (to improve memory and functional performance including motor coordination, limb-eye coordination, occupational and recreational skills) through periodic or sustained sensory electrical stimulation. Treatment plans may be based on biomarkers and may be used alone or in combination with other apparatuses. Learning and feedback techniques individualize treatment parameters depending on the subject's neurologic and motor function in diseased patients and healthy users.

An illustrative biopotential measurement system includes a plurality of electrodes each configured to record a different signal included in a plurality of signals representative of electrical activity of a target within a user; a plurality of non-inverting operational amplifier circuits each connected to a different electrode included in the plurality of electrodes and each configured to output a different amplified signal included in a plurality of amplified signals representative of amplified versions of the plurality of signals; and a common-mode feedback circuit configured to measure a common-mode signal between the plurality of amplified signals and provide the common-mode signal to the non-inverting operational amplifier circuits. The non-inverting operational amplifier circuits are configured to use the common-mode signal to generate voltage-divided feedback signals used to generate the plurality of amplified signals.

An illustrative biopotential measurement system includes a plurality of electrodes each configured to record a different signal included in a plurality of signals representative of electrical activity of a target within a user; a plurality of non-inverting operational amplifier circuits each connected to a different electrode included in the plurality of electrodes and each configured to output a different amplified signal included in a plurality of amplified signals representative of amplified versions of the plurality of signals; and a common-mode feedback circuit configured to measure a common-mode signal between the plurality of amplified signals and provide the common-mode signal to the non-inverting operational amplifier circuits. The non-inverting operational amplifier circuits are configured to use the common-mode signal to generate voltage-divided feedback signals used to generate the plurality of amplified signals.