In order to improve the speech quality and auditory perceptiveness of electronic cochlear implant under strong noise background, a speech enhancement system used for electronic cochlear implant front-end was constructed. Taking digital signal processing (DSP) as the core, the system combines its multi-channel buffered serial port (McBSP) data transmission channel with extended audio interface chip TLV320AIC10, so speech signal acquisition and output with high speed are realized. Meanwhile, due to the traditional speech enhancement method which has the problems as bad adaptability, slow convergence speed and big steady-state error, versiera function and de-correlation principle were used to improve the existing adaptive filtering algorithm, which effectively enhanced the quality of voice communications. Test results verified the stability of the system and the de-noising performance of the algorithm, and it also proved that they could provide clearer speech signals for the deaf or tinnitus patients.
Algorithms ; Cochlear Implantation ; Cochlear Implants ; Electronics ; Humans ; Noise ; Signal Processing, Computer-Assisted ; Speech ; Speech Perception

Aiming at the single treatment and the design separation between treatment and assessment in electrotherapy equipment, a kind of system including low-intermediate frequency treatment and efficacy evaluation was developed. With C8051F020 single-chip microcomputer as the core and the circuit design and software programming used, the system realized the random switch of therapeutic parameters, the collection, display and data storage of pressure pain threshold in the assessment. Experiment results showed that the stimulus waveform, current intensity, frequency, duty ratio of the system output were adjustable, accurate and reliable. The obtained pressure pain threshold had a higher accuracy (< 0.3 N) and better stability, guiding the parameter choice in the precise electrical stimulation. It, therefore, provides a reliable technical support for the treatment and curative effect assessment.
Electric Stimulation Therapy ; instrumentation ; Equipment Design ; Microcomputers ; Pain Measurement ; instrumentation ; Software

A realizaton project of electrical stimulator aimed at motor dysfunction of stroke is proposed in this paper. Based on neurophysiological biofeedback, this system, using an ARM9 S3C2440 as the core processor, integrates collection and display of surface electromyography (sEMG) signal, as well as neuromuscular electrical stimulation (NMES) into one system. By embedding Linux system, the project is able to use Qt/Embedded as a graphical interface design tool to accomplish the design of stroke rehabilitation apparatus. Experiments showed that this system worked well.
Biofeedback, Psychology ; Computers ; Electric Stimulation Therapy ; instrumentation ; Electromyography ; Equipment Design ; Humans ; Software ; Stroke Rehabilitation

This Stroke Rehabilitation Apparatus uses the electromyography triggered neuromuscular electrical stimulation as the means of the major therapeutics, and the fastigial nucleus stimulation as the means of the assistant therapeutics. This paper introduces the overall structure of the apparatus, the principle of its component, the EMG processing based on local nonlinear projective filtering algorithm and the alternating treatment modes. The therapeutic apparatus has the features of non-invasiveness, safety, convenience and strong alternating capability.
Biofeedback, Psychology ; Electric Stimulation Therapy ; instrumentation ; Electromyography ; methods ; Humans ; Movement Disorders ; etiology ; physiopathology ; rehabilitation ; Psychomotor Performance ; physiology ; Recovery of Function ; Stroke ; physiopathology ; Stroke Rehabilitation

The detection of R-wave of ECG is essential to the analysis of the heart rate variability (HRV). In this paper, an R-wave detection method using wavelet transform(WT) is presented in line with the principle of discrete wavelet transform(DWT) and multi-resolution technique (MRT). We made use of the special properties of dbl wavelet in time-domain, decomposed the original ECG signals into 3-level detailed signals on different frequency bands by using DWT with Mallat algorithm, and got appropriate threshold values in different high frequency bands to distinguish R-wave. It is concluded that the algorithm had significant effects on it, which is verified by MIT/BIH (Massachusetts Institute of Technology/Boston's Beth Israel Hospital) ECG Database. The results show that R-wave could be detected accurately and localized precisely by this method, even when the patient was seriously sick or the signal was disturbed by noise. Consequently the method has a quite high locating precision (its error is not more than two sampled points and about 85 percent of the points of R-wave in ECG signal are localized precisely) and the correct detection rate of R-wave is 99.8% by using wavelet transform, so this method is quite feasible.
Algorithms ; Electrocardiography ; Heart Rate ; physiology ; Humans ; Signal Processing, Computer-Assisted

Bovine spongiform encephalopathy (BSE) is an infectious disease which can threaten animal husbandry and human health seriously. The disease mainly violates the central neural system. This article selectively reviewed current researches on the analytical detection of BSE and transmissible spongiform encephalopathy (TSE).
Animals ; Cattle ; Encephalopathy, Bovine Spongiform ; diagnosis ; transmission ; virology ; Humans ; Prions ; isolation & purification

In this paper a filtering method for EECG (Exercise ECG) signal is proposed which is based on wavelet transform (WT) and Stein's unbiased risk estimate (SURE). This algorithm was used to decompose original EECG signals into detail signals on different frequency bands by using WT and get different thresholds with SURE. According to EECG signal features and by using the above thresholds, the method amended several detail signals so that the main interferences in EECG signal can be removed efficiently. The authors also put forward two indexes to estimate the validity of such algorithms. Our experimental results demonstrate that this is an efficient de-noising method for EECG.
Algorithms ; Echocardiography, Stress ; Electrocardiography ; methods ; Exercise Test ; methods ; Humans ; Signal Processing, Computer-Assisted

Exercise quantity is one of the important indexes used to evaluate physical consumption during training, so it is necessary to design a kind of instrument to accurately measure physical consuption. It must be practical, portable and with a low power consumption. This article introduces the mechanism of measuring exercise quantity. The methods of traditional and acceleration compared, the latter is selected. The design is described from the two aspects of general design and component choosing.

Phonocardiogram exercise testing(PCGET) is a recently developed method for evaluating cardiac contractility and the cardiac reserve of patients with heart disease and of healthy subjects. In order to test the reliability of PCGET method in physical sport, the present author conducted a clinical study. The ratio of the amplitude of the first heart sound after PCGET to that recorded at rest was defined as an indicator, i.e. cardiac contractility reserve index (CCRI). PCGET was performed on 30 athletes and 30 non-athletes. The results showed that the average of CCRI was 10.139 +/- 2.631 in 30 athletes and 6.612 +/- 3.104 in 30 non-athletes. There was a significant difference between CCRI of the two groups (P < 0.01). Thus, PCGET might be a noninvasive, convenient and inexpensive technique to evaluate the cardiac reserve quantitatively for athletes.
Adolescent ; Adult ; Exercise Test ; methods ; Feasibility Studies ; Humans ; Myocardial Contraction ; physiology ; Phonocardiography ; methods ; Sports ; physiology

According to the large stray capacitance of the gate terminal of power MOSFET,this paper introduces the main characteristics and application of IC driver MAX626/7/8,especially designed for the high speed power MOSFET.The ultrasound generator made from that chip is simple in circuit,stable when working as well as small and light for carrying.