Abstract:
A focused ultrasound stimulation apparatus according to the present disclosure includes a transducer which outputs low intensity/high intensity ultrasound, an acoustic lens which is placed in close contact with a user's skin and is customized to focus the ultrasound onto a target focal point, and a fixture for fixing the transducer and the acoustic lens to each other. The acoustic lens is customized using a 3-dimensional (3D) printer based on the pre-captured user's cranial shape, to focus the ultrasound a desired focus target for each user, thereby improving accuracy compared to conventional ultrasound stimulation apparatus.
Abstract:
A human joint kinematics information extraction method includes generating a joint kinematics parameter estimator of a multiple linear model based on electromyogram (EMG) signals and joint kinematics information in the event of joint movement, measuring EMG signals in real time, and estimating joint kinematics information by applying the EMG signals measured in real time to the joint kinematics parameter estimator. Accordingly, human joint kinematics information may be extracted safely and accurately using surface EMG signals extracted non-invasively.
Abstract:
Provided is a non-invasive system for estimating an atrial signal, including a plurality of sensors to sense a surface electrocardiogram signal, a reference atrial signal generation unit to generate an estimated ventricular signal with respect to a R wave in an electrocardiogram signal from one sensor among the plurality of sensors, and to generate a reference atrial signal by subtracting the estimated ventricular signal from the electrocardiogram signal from the one sensor, and an atrial signal estimation unit to generate an estimated atrial signal by applying a constrained independent component analysis algorithm based on the reference atrial signal to the received surface electrocardiogram signal, and to estimate one of the estimated atrial signals as an actual atrial signal, and a method using the same.