Abstract: Apparatus, systems, and methods for real-time gait modulation are disclosed. In one embodiment, a functional electrical stimulation (FES) device is disclosed comprising one or more wearable articles, a control unit comprising a wireless communication module, one or more processors, one or more memory units, a portable power supply, an electrical muscle stimulation (EMS) generator, and an inertial measurement unit (IMU) comprising at least a gyroscope and an accelerometer. The FES device can also comprise one or more electrode arrays configured to be in physical contact with the limb of the user. The processors can be programmed to execute instructions to retrieve readings from the IMU, calculate a gait cycle percentage by inputting at least the IMU readings into a machine learning algorithm, and instruct the EMS generator to provide electrical stimulation via the one or more electrode arrays based in part on the gait cycle percentage calculated.

Abstract: Apparatus, systems, and methods for real-time gait modulation are disclosed. In one embodiment, a functional electrical stimulation (FES) device is disclosed comprising one or more elastic wearable articles, a control unit comprising a wireless communication module, one or more processors, one or more memory units, a portable power supply, an electrical muscle stimulation (EMS) generator, and an inertial measurement unit (IMU) comprising at least a gyroscope and an accelerometer. The FES device can also comprise one or more electrode arrays configured to be in physical contact with the limb of the user. The processors can be programmed to execute instructions to retrieve readings from the IMU, calculate a gait cycle percentage by inputting at least the IMU readings into a machine learning algorithm, and instruct the EMS generator to provide electrical stimulation via the one or more electrode arrays based in part on the gait cycle percentage calculated.

Abstract: The present disclosure provides various systems and methods for assisting with lower limb movement. An exemplary system can include a plurality of wearable modules and a controller. Each of the plurality of wearable modules can include a stimulator and a sensor. The controller can be configured to detect a desired activity based on data from the sensors on the wearable modules. The controller can be further configured to cause the stimulator to provide electrical stimulation to assist with the desired activity.

Abstract: Apparatus, systems, and methods for real-time gait modulation are disclosed. In one embodiment, a functional electrical stimulation (FES) device is disclosed comprising one or more elastic wearable articles, a control unit comprising a wireless communication module, one or more processors, one or more memory units, a portable power supply, an electrical muscle stimulation (EMS) generator, and an inertial measurement unit (IMU) comprising at least a gyroscope and an accelerometer. The FES device can also comprise one or more electrode arrays configured to be in physical contact with the limb of the user. The processors can be programmed to execute instructions to retrieve readings from the IMU, calculate a gait cycle percentage by inputting at least the IMU readings into a machine learning algorithm, and instruct the EMS generator to provide electrical stimulation via the one or more electrode arrays based in part on the gait cycle percentage calculated.

Abstract: A multi-directional lever drive system comprising a lever drive assembly comprising a lever for imparting actuation for driving a shaft through a roller mechanism, and engaging a switch assembly whereby the properties of the roller mechanism can be selected to drive the shaft forward, neutral, and reverse. The proposed switch assemblies enable convenient direction control from the same lever that inputs actuation to the drive assembly, making the lever drive assembly suitable for systems such as a lever propelled wheelchair, a winch, and hand tools.