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Human mechanoreceptors, such as Pacinian corpuscles, can detect vibrations up to 1,000 Hz, frequencies between 30 Hz and 120 Hz are generally considered to have a calming and relaxing effect, which is why they are often used in therapeutic contexts.40 Hz specifically, has been widely studied in vibroacoustic therapy and other fields due to its ...
The ultrasound within tissue consists of very high frequency sound waves, between 800,000 Hz and 20,000,000 Hz, which cannot be heard by humans. Some of the advantages of ultrasound as a diagnostic and therapeutic tool include its safety profile, lack of radiation, portability, and low cost. [ 4 ]
By this regard, some of the PEMF devices such as MDcure, Aerotel Ltd., (Holon, Israel) and Aerotel Inc. (USA, New York, NY, USA) are categorized as FDA Class-1 therapeutic device since they deliver extremely low-intensity electromagnetic field with nanoTesla amplitude (nT; 10 −9) at a set of low frequencies (1–100 Hz).
Radio frequencies at non-ablation energy levels are commonly used as a part of aesthetic treatments that can tighten skin, reduce fat by lipolysis and also apoptosis, [4] or promote healing. [ 5 ] RF diathermy is a medical treatment that uses RF induced heat as a form of physical therapy and in surgical procedures.
An audio frequency or audible frequency (AF) is a periodic vibration whose frequency is audible to the average human. The SI unit of frequency is the hertz (Hz). It is the property of sound that most determines pitch. [1] The generally accepted standard hearing range for humans is 20 to 20,000 Hz.
This does not mean that frequencies above 100 kHz (1/ 10 μs) are audible, but that time discrimination is not directly coupled with frequency range. [7] [8] Frequency resolution of the ear is about 3.6 Hz within the octave of 1000–2000 Hz That is, changes in pitch larger than 3.6 Hz can be perceived in a clinical setting. [6]
Musical sound can be more complicated than human vocal sound, occupying a wider band of frequency. Music signals are time-varying signals; while the classic Fourier transform is not sufficient to analyze them, time–frequency analysis is an efficient tool for such use. Time–frequency analysis is extended from the classic Fourier approach.
For example, when a note (that is not a pure tone) has a pitch of 100 Hz, it will consist of frequency components that are integer multiples of that value (e.g. 100, 200, 300, 400, 500.... Hz). Hz). However, smaller loudspeakers may not produce low frequencies, so in our example, the 100 Hz component may be missing.