A gait analysis method by means of a portable device including a three-axis accelerometer configured to transmit a signal associated with the walking movements of an individual, in which method a measurement and frequency analysis of the signal transmitted by the accelerometer by means of a transform, such as a Fourier Transform, wherein: the signal is measured at the wrist of the individual; the frequency analysis is performed from confirmed walking movements of the individual on a substantially flat surface, said confirmed walking movements corresponding to walking movements identified by means of a step detection algorithm, and a height difference on a trajectory of the gait being defined by means of a pressure sensor associated with said accelerometer to identify said walking movements on a flat surface, and wherein a step of searching for and identifying anomalies is carried out, in which an anomaly is identified when a score lower than a predefined threshold is obtained, said score being established from a harmonic study during which a frequency difference is determined between a frequency of the peaks p measured in the frequency analysis and a frequency of the theoretical harmonics of a fundamental frequency of said signal, said harmonic study including the following sub-steps: - identifying a main peak having a maximum amplitude of said signal, corresponding to the fundamental frequency, and one or more secondary peaks, a secondary peak being identified when its frequency has an amplitude value above a configurable minimum - determining for each secondary peak the difference between the frequency of said secondary peak and the frequency of the closest theoretical harmonic; - calculating the score depending on one or more identified differences. the signal is measured at the wrist of the individual; the frequency analysis is performed from confirmed walking movements of the individual on a substantially flat surface, said confirmed walking movements corresponding to walking movements identified by means of a step detection algorithm, and a height difference on a trajectory of the gait being defined by means of a pressure sensor associated with said accelerometer to identify said walking movements on a flat surface, and wherein a step of searching for and identifying anomalies is carried out, in which an anomaly is identified when a score lower than a predefined threshold is obtained, said score being established from a harmonic study during which a frequency difference is determined between a frequency of the peaks p measured in the frequency analysis and a frequency of the theoretical harmonics of a fundamental frequency of said signal, said harmonic study including the following sub-steps: - identifying a main peak having a maximum amplitude of said signal, corresponding to the fundamental frequency, and one or more secondary peaks, a secondary peak being identified when its frequency has an amplitude value above a configurable minimum - determining for each secondary peak the difference between the frequency of said secondary peak and the frequency of the closest theoretical harmonic; - calculating the score depending on one or more identified differences. - identifying a main peak having a maximum amplitude of said signal, corresponding to the fundamental frequency, and one or more secondary peaks, a secondary peak being identified when its frequency has an amplitude value above a configurable minimum - determining for each secondary peak the difference between the frequency of said secondary peak and the frequency of the closest theoretical harmonic; - calculating the score depending on one or more identified differences.