Abstract: The present invention provides a method and system of auditory evoked heart rate variability analysis having advantage of simply analytical process and portability. The disclosed method mainly includes the following steps of: stimulating the auditory system of a person by a sound through a sound transmission device, capturing an electrocardiogram signal of the person, performing analog-to-digital conversion of the electrocardiogram signal, selecting the peaks of the electrocardiogram signal and transforming the qualified peaks to a consecutive peak signal, and performing spectrum analysis to the peak signal in frequency domain, and obtaining the difference of the spectral parameters before and after the evoked sounds. Moreover, the sound further is selected from the group consisting of noise, short tone burst, click, and any other sound with the intensity of 30 dB to 100 dB.

Abstract: A method for detecting hearing impairment and a device thereof are provided. The device includes a sound collecting unit and analyzing unit. The sound collecting unit is used for receiving a voice signal from a subject based on the subject pronouncing a vowel. The analyzing unit is coupled to the sound collecting unit and is used for receiving the voice signal and performing a signal processing and a predetermined operation for the voice signal to provide the power of low-frequency oscillations of the voice fundamental frequency of the subject, wherein the hearing impairment of the subject is linear dependency with the low frequency oscillations.

Abstract: The present invention provides a method and system of auditory evoked heart rate variability analysis having advantage of simply analytical process and portability. The disclosed method mainly includes the following steps of: stimulating the auditory system of a person by a sound through a sound transmission device, capturing an electrocardiogram signal of the person, performing analog-to-digital conversion of the electrocardiogram signal, selecting the peaks of the electrocardiogram signal and transforming the qualified peaks to a consecutive peak signal, and performing spectrum analysis to the peak signal in frequency domain, and obtaining the difference of the spectral parameters before and after the evoked sounds. Moreover, the sound further is selected from the group consisting of noise, short tone burst, click, and any other sound with the intensity of 30 dB to 100 dB.

Abstract: This invention relates an activity monitoring system and a device thereof. The device includes a global positioning system for providing a positioning information, a wireless communication module, a status sensor module including a multi-axle accelerating sensor and a heart rate variability sensor for sensing subject's activity status and bio-status so as to provide at least one activity information related to the subject and a microprocessor which is coupled to the global positioning system, the wireless communication module and the status sensor module, wherein the microprocessor controls the wireless communication module to send the positioning information and the at least one activity information to the remote host.

Abstract: A method for detecting hearing impairment and a device thereof are provided. The device includes a sound collecting unit and analyzing unit. The sound collecting unit is used for receiving a voice signal from a subject. The analyzing unit is coupled to the sound collecting unit and is used for receiving the voice signal and performing a signal processing and a predetermined operation for the voice signal to provide the power of low-frequency oscillations of the voice fundamental frequency of the subject, wherein the hearing impairment of the subject is linear dependency with the low frequency oscillations.

Abstract: The present invention relates to a multi-antenna wireless sensor system that allows a subject to measure and transmit physiological signals, comprising a wireless sensor, a wireless base station, a network device, and a data processing unit. The wireless sensor senses and collects the physiological signals of the subject and contains a portable electronic device with a wireless data transmission interface.

Abstract: A method for measuring nasality senses a sound, amplifies the sensed sound signal, converts the sound signal to a digital sound signal, transforms the digital time domain sound signal to a frequency domain with a Fast Fourier Transformation (FFT), determines a cut frequency (fcut) calculates a low frequency power and a high frequency power of each window, calculates an acoustic low/high ratio (ALHR) and calculates an average acoustic low/high ratio (ALHRave). With such a method, the ALHRave reflects a person's nasality and nasal airway status, and the method is conveniently performed.