Method and system for continuous monitoring and training of exercise
First Claim
1. A method for automating exercise monitoring and training, comprising:
- a. capturing sensor signals of body sounds and vital signs and noises from a plurality of target locations, and removing off-band and statistically independent noises;
b. performing adaptive individualized noise cancellation which further reduces noises;
c. performing a signal separation process which extracts authentic signals by reducing or eliminating signal interferences; and
d. performing pattern recognition to derive characteristic parameters and patterns with their values, and their trends along with quality ratings of these quantities.
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Abstract
A method and system is invented for continuous monitoring, real-time analysis, and automated and personalized training of exercise. The system embodies a multi-sensor data acquisition system to measure body sounds, body signs, vital signs, motions, and machine settings continuously and automatically. The system is able to capture the body sounds and other vital signs, analyze them, and report and display summarized results. The signal processing functions utilize a unique signal separation and noise removal methodology by which authentic signals can be extracted from interfered signals and in noisy environments, even when signals and noises have similar frequency components or are statistically dependent.
The method and system will facilitate continuous monitoring, real-time analysis, and computerized evaluation of level of effort, physical stress, and resulting fatigue during physical activity or exercise. In addition, based on body sound data, or in combination with other monitored physiological signals, and knowledge of the individual and exercise being performed, the system will evaluate the person'"'"'s physical performance and then act as an automated coach to guide exercise intensity and duration thereby optimizing and individualizing the training process. The invention is especially targeted, but not limited to, cardiopulmonary monitoring for athletes for improving the efficiency and safety of exercise, rehabilitation programs for out-of-shape individuals, and routine exercise of the general population.
667 Citations
29 Claims
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1. A method for automating exercise monitoring and training, comprising:
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a. capturing sensor signals of body sounds and vital signs and noises from a plurality of target locations, and removing off-band and statistically independent noises; b. performing adaptive individualized noise cancellation which further reduces noises; c. performing a signal separation process which extracts authentic signals by reducing or eliminating signal interferences; and d. performing pattern recognition to derive characteristic parameters and patterns with their values, and their trends along with quality ratings of these quantities. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13)
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12. A method for generating multi-media exercise activity displays for playing a combined graphical and acoustical summary of said real-time individualized pattern recognition and diagnosis comprising:
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a. capturing the signals; b. performing noise removal and signal separation functions to extract authentic signals; c. synchronizing signals in time such that all signals have compatible time stamps and sampling rates; d. scaling signals in amplitude such that all signals have compatible relative ranges, precision levels, and data representation word lengths; e. extracting dynamically characteristic parameters to be used for display functions; f. creating dynamic visualization mappings of the extracted parameters to displaying variables such as shape, color, music tune, frequency, etc; g. generating graphics for display of the mappings by creating commands compatible with display software such as Media Player; h. generating tones for audible commands compatible with play by multimedia software such as MIDI sound software; whereby the generated multi-media display provides the athlete with the ability to visually and audibly observe the impact of exercise on said signals of body sounds, body signs, vital signs, motions and said individualized pattern diagnose outcomes.
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14. A computer program product for automating personal exercise monitoring and coaching of training, comprising:
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a. a module for capturing vital sign signals of an exercising athlete; b. a module for signal interfacing with measurement sensors, off-band noise removal by using pre-filtering, statistical independent noise removal by adaptive noise cancellation; c. a module for removing in-band noise by using the time-shared adaptive noise cancellation methods, separating interfered signals to generate authentic signals by using the cyclic signal separation methods; d. a module for deriving in real-time actual physical activity levels by processing authenticated signals of body sounds, body signs, vital signs, and motions; e. a module for performing parameter extraction and pattern recognition of characteristic features of exercise levels, dynamic pattern tracking for dynamic trend analysis of exercise activity, optimal analysis and diagnosis for rating current exercise activity in relation to personal goals and expert guidelines, and the impact of physical exertion on these extracted patterns; f. a module for inputting personal characteristics information to facilitate retrieval and entry of personal workout information; g. a personal fitness database to receive information on personal exercise activity level, machine information, exercise activity record, and store them for tracking of longitudinal progress; h. a module for expert coaching of training that makes recommendations to improve training results based on exercise rules, expert training guidelines, athlete training experiences, the activity levels and the extracted patterns, determining warning alarms for deviation of key parameters from their safe and desirable regions, making remedial recommendations to improve training and preserve safety, and populating the personal fitness database with history of exercise performance; and i. a display module for presenting to said athlete the impact of exercise on the fitness levels and improvements, and trajectories of extracted key parameters that reflect exercise intensity and its impact on personal fitness and for presenting recommendations from the expert coach module. - View Dependent Claims (15, 16, 17, 18, 19, 20, 21)
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22. A system for automating exercise monitoring and training for a gymnasium, comprising:
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a. an athlete wearing sensors for measuring body sounds, body signs, vital signs, and motions; b. a plurality of exercise machines with unique identification tags for use in training by the athlete; c. a portable computing device for automating personal exercise monitoring and coaching of training that captures signals of said sensors from the athlete and that can also manually or automatically recognize a piece of exercise equipment based upon the unique identification tag; d. a personal exercise monitor and trainer server that receives, retrieves, and communicates the results of the workout by the athlete; e. a local area network for supporting communication between the portable computing device and the server; and f. a training machine database. - View Dependent Claims (23, 24, 25, 26, 27, 28, 29)
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Specification