A gait evaluation apparatus that evaluates a training gait of a paralyzed patient suffering from paralysis in a leg includes an acquisition unit configured to acquire a plurality of motion amounts of a paralyzed body portion according to a gait motion and an evaluation unit configured to evaluate that the gait motion is an abnormal gait in a case where at least one of the motion amounts acquired by the acquisition unit meets any one of a plurality of abnormal gait criteria set in advance. The abnormal gait criteria include at least two or more first criteria, which are criteria relevant to motion amounts of different parts of the paralyzed body portion, or at least two or more second criteria, which are criteria relevant to motion amounts of the same part of the paralyzed body portion in different directions.

A load measurement device includes an acquisition unit, a load calculation unit, and an output unit. The acquisition unit acquires sensor output information of a load distribution sensor that detects a load distribution received from a sole of a subject. The load calculation unit calculates a total load value, based on the sensor output information and geometric information of a load region specified based on the sensor output information, the geometric information including at least a perimeter of the load region in a horizontal direction. The output unit outputs the total load value.

A walking training system includes: a tension unit that pulls a leg of a trainee upward and forward; a sensor provided for determining a start timing of a swinging end phase of the leg; and a control unit that reduces a tensile force of the tension unit from the start timing of the swinging end phase.

A force measurement system is disclosed herein. The force measurement system includes a force measurement assembly configured to receive a subject, and one or more data processing devices operatively coupled to the force measurement assembly. In one embodiment, the one or more data processing devices are configured to determine a difference between a center of pressure and a center of mass for the subject from output force and/or moment data, and to determine the fall risk of the subject based upon the difference between the center of pressure and the center of mass for the subject. In another embodiment, the one or more data processing devices are configured to determine one or more balance parameters of the subject from the output force and/or moment data while the subject is stepping onto the top surface of the force measurement assembly and/or stepping off the top surface of the force measurement assembly.

A stimulator substrate device for stimulating nerve cells, and apparatus including same, in particular nerve cells in an extremity, includes a substrate support, in which a plurality of stimulators for emitting stimulation signals to the nerve cells are provided. The plurality of stimulators is provided in a line on the substrate support and the substrate support is tubular.

A ground reaction force plate apparatus and measuring system are provided. The apparatus includes a plate for receiving a force to be measured as applied by a subject to the plate and a plurality of load cells in an arrangement supporting the plate, each load cell being a single-axis sensor with the axis provided at an angle to a plane of the plate and oriented towards a centre of the plate. The load cells are configured to measure data relating to a force vector at the angled single-axis sensor when the subject applies a force to the plate. A data collection controller is provided for logging time series measurements of the load cells over a time in which the subject applies a force to the plate. The system applies machine learning processing to output the load cell measurements as a three-dimensional ground reaction force on the plate by a subject.

A gait analysis apparatus includes a bottom insole pad, a top insole pad layered over the bottom insole pad and configured to be worn by a limb of a subject, a plurality of force sensors configured to sense force exerted by the limb at least in two directions and affixed between the top insole pad and the bottom insole pad, and a processor configured to collect measurement data from the plurality of force sensors and determine a pose of or abnormality in the limb based on the measurement data and a predetermined profile.

An insole with embedded sensing system includes a pressure sensing layer arranged on the insole, an infrared sensing layer arranged inside the insole, and a sensing module installed inside an arch pad integrated with the insole. The sensing module is electrically coupled with the pressure sensing layer and the infrared sensing layer for receiving and processing detected electronic signals.

A personal monitoring system includes one or more passive biometric sensors and a communication device. A passive biometric sensor is operable to sense a body condition of a body in accordance with a sense signal at a sense frequency to produce sensed data of a body condition. The passive biometric sensor is further operable to transmit an e-field signal via the body regarding the sensed data, wherein the e-field signal is in accordance with an e-field transmit/receive frequency. The communication device is operable to receive the e-field signal via the body. The communication device is further operable to recover the sensed data from the received e-field signal.

A walking training system according to the present embodiment includes: a treadmill; a load distribution sensor; an imaging device that takes an image of a trainee; a specifying unit that specifies, from the image taken by the imaging device, whether a load detected by a load distribution sensor is a load received from a sole of a right leg of the trainee or a load received from a sole of a left leg of the trainee; and a determination unit that determines, based on a status of a load received from a sole of one leg, out of the right leg and the left leg of the trainee during walking training, in a standing state that is detected by the load distribution sensor, whether the sole of the one leg in the standing state is located within a load detection area of the load distribution sensor.