Abstract: Monitoring muscle data can include one or more fully flexible sensor patches having sensor modules configured to sense muscle data, data processing modules, transmitter modules configured to transmit the muscle data, and a microcontroller configured to control the modules on one patch side and an adhesive layer on the other patch side; a wearable mobile hub having one or more of a receiver, transmitter, and/or transceiver module configured to be operably coupled with the one or more sensor patches so as to receive muscle data therefrom and a muscle data processing unit configured to process the received muscle data, and one or more user feedback interfaces to provide processed muscle data to the one or more user feedback interfaces; and a base station configured for receiving, storing, and analyzing the muscle data for one subject received from the mobile hub in comparison with one or more other subjects.

Abstract: A muscle assessment protocol can include: attaching one or more surface electromyometry (sEMG) sensors to the skin of a subject to be operably coupled with one or more muscles; operably coupling the one or more sEMG sensors to a computing system; performing the predetermined muscle activity of a muscle assessment protocol that includes a controlled activity training protocol; monitoring/recording sEMG data of the one or more muscles during the predetermined muscle activity; and providing the sEMG data to the subject such that the subject can improve muscle performance for the predetermined muscle activity by using the sEMG data. The muscle activity includes static or dynamic muscle use. The predetermined muscle activity can be provided to the subject by the computing system. System means for performing the muscle assessment protocol is also disclosed.

Abstract: A muscle assessment protocol can include: attaching one or more surface electromyometry (sEMG) sensors to the skin of a subject to be operably coupled with one or more muscles; operably coupling the one or more sEMG sensors to a computing system; performing the predetermined muscle activity of a muscle assessment protocol that includes a stride rate tuning protocol; monitoring/recording sEMG data of the one or more muscles during the predetermined muscle activity; and providing the sEMG data to the subject such that the subject can improve muscle performance for the predetermined muscle activity by using the sEMG data. The muscle activity includes static or dynamic muscle use. The predetermined muscle activity can be provided to the subject by the computing system.

Abstract: A muscle assessment protocol can include: attaching one or more surface electromyometry (sEMG) sensors to the skin of a subject to be operably coupled with one or more muscles; operably coupling the one or more sEMG sensors to a computing system; performing the predetermined muscle activity of a muscle assessment protocol that includes a frequency-based, amplitude-adjusted root mean square protocol; monitoring/recording sEMG data of the one or more muscles during the predetermined muscle activity; and providing the sEMG data to the subject such that the subject can improve muscle performance for the predetermined muscle activity by using the sEMG data. The muscle activity includes static or dynamic muscle use. The predetermined muscle activity can be provided to the subject by the computing system.

Abstract: Monitoring muscle data can include one or more fully flexible sensor patches having sensor modules configured to sense muscle data, data processing modules, transmitter modules configured to transmit the muscle data, and a microcontroller configured to control the modules on one patch side and an adhesive layer on the other patch side; a wearable mobile hub having one or more of a receiver, transmitter, and/or transceiver module configured to be operably coupled with the one or more sensor patches so as to receive muscle data therefrom and a muscle data processing unit configured to process the received muscle data, and one or more user feedback interfaces to provide processed muscle data to the one or more user feedback interfaces; and a base station configured for receiving, storing, and analyzing the muscle data for one subject received from the mobile hub in comparison with one or more other subjects.

Abstract: System for monitoring muscle data can include one or more fully flexible sensor patches having sensor modules configured to sense muscle data, data processing modules, transmitter modules configured to transmit the muscle data, and a microcontroller configured to control the modules on one patch side and an adhesive layer on the other patch side; a wearable mobile hub having one or more of a receiver, transmitter, and/or transceiver module configured to be operably coupled with the one or more sensor patches so as to receive muscle data therefrom and a muscle data processing unit configured to process the received muscle data, and one or more user feedback interfaces to provide processed muscle data to the one or more user feedback interfaces; and a base station configured for receiving, storing, and analyzing the muscle data for one subject received from the mobile hub in comparison with one or more other subjects.

Abstract: A muscle assessment method utilizing a computing system, surface electromyometry (sEMG) sensors, and other sensors to gather data for one or more subjects engaged in an activity through operably coupling the one or more sensors to the computing system, and directing a computing system to select one or more muscle assessment protocols related to a number of different metrics. For a user subject engaged in a physical activity, assessing muscle condition, the muscle activity, and statistically related averages provide information to the user and about muscle and whole body fitness.

Abstract: A muscle assessment protocol can include: attaching one or more surface electromyometry (sEMG) sensors to the skin of a subject to be operably coupled with one or more muscles; operably coupling the one or more sEMG sensors to a computing system; performing the predetermined muscle activity of a muscle assessment protocol that includes a stride rate tuning protocol; monitoring/recording sEMG data of the one or more muscles during the predetermined muscle activity; and providing the sEMG data to the subject such that the subject can improve muscle performance for the predetermined muscle activity by using the sEMG data. The muscle activity includes static or dynamic muscle use. The predetermined muscle activity can be provided to the subject by the computing system.

Abstract: A muscle assessment protocol can include: attaching one or more surface electromyometry (sEMG) sensors to the skin of a subject to be operably coupled with one or more muscles; operably coupling the one or more sEMG sensors to a computing system; performing the predetermined muscle activity of a muscle assessment protocol that includes a frequency-based, amplitude-adjusted root mean square protocol; monitoring/recording sEMG data of the one or more muscles during the predetermined muscle activity; and providing the sEMG data to the subject such that the subject can improve muscle performance for the predetermined muscle activity by using the sEMG data. The muscle activity includes static or dynamic muscle use. The predetermined muscle activity can be provided to the subject by the computing system.

Abstract: A muscle assessment protocol can include: attaching one or more surface electromyometry (sEMG) sensors to the skin of a subject to be operably coupled with one or more muscles; operably coupling the one or more sEMG sensors to a computing system; performing the predetermined muscle activity of a muscle assessment protocol that includes a controlled activity training protocol; monitoring/recording sEMG data of the one or more muscles during the predetermined muscle activity; and providing the sEMG data to the subject such that the subject can improve muscle performance for the predetermined muscle activity by using the sEMG data. The muscle activity includes static or dynamic muscle use. The predetermined muscle activity can be provided to the subject by the computing system. System means for performing the muscle assessment protocol is also disclosed.

Abstract: A muscle assessment method utilizing a computing system, surface electromyometry (sEMG) sensors, and other sensors to gather data for one or more subjects engaged in an activity through operably coupling the one or more sensors to the computing system, and directing a computing system to select one or more muscle assessment protocols related to a number of different metrics. For a user subject engaged in a physical activity, assessing muscle condition, the muscle activity, and statistically related averages provide information to the user and about muscle and whole body fitness.

Abstract: A muscle assessment protocol can include: attaching one or more surface electromyometry (sEMG) sensors to the skin of a subject to be operably coupled with one or more muscles; operably coupling the one or more sEMG sensors to a computing system; performing the predetermined muscle activity of a muscle assessment protocol that includes one or more of a muscleprint protocol, stride rate tuning protocol, controlled activity training protocol, or frequency-based, or amplitude-adjusted root mean square protocol; monitoring/recording sEMG data of the one or more muscles during the predetermined muscle activity; and providing the sEMG data to the subject such that the subject can improve muscle performance for the predetermined muscle activity by using the sEMG data. The muscle activity includes static or dynamic muscle use. The predetermined muscle activity can be provided to the subject by the computing system.

Abstract: A muscle assessment protocol can include: attaching one or more surface electromyometry (sEMG) sensors to the skin of a subject to be operably coupled with one or more muscles; operably coupling the one or more sEMG sensors to a computing system; performing the predetermined muscle activity of a muscle assessment protocol that includes one or more of a muscleprint protocol, stride rate tuning protocol, controlled activity training protocol, or frequency-based, or amplitude-adjusted root mean square protocol; monitoring/recording sEMG data of the one or more muscles during the predetermined muscle activity; and providing the sEMG data to the subject such that the subject can improve muscle performance for the predetermined muscle activity by using the sEMG data. The muscle activity includes static or dynamic muscle use. The predetermined muscle activity can be provided to the subject by the computing system.

Abstract: System for monitoring muscle data can include one or more fully flexible sensor patches having sensor modules configured to sense muscle data, data processing modules, transmitter modules configured to transmit the muscle data, and a microcontroller configured to control the modules on one patch side and an adhesive layer on the other patch side; a wearable mobile hub having one or more of a receiver, transmitter, and/or transceiver module configured to be operably coupled with the one or more sensor patches so as to receive muscle data therefrom and a muscle data processing unit configured to process the received muscle data, and one or more user feedback interfaces to provide processed muscle data to the one or more user feedback interfaces; and a base station configured for receiving, storing, and analyzing the muscle data for one subject received from the mobile hub in comparison with one or more other subjects.

Abstract: A task assessment protocol configured to utilize modified operant conditioning to incentivize physical fitness through rewards associated with units of effort including the steps of selecting the task to be performed, breaking the task to be performed into smaller units, associating the data with a reward using a reward system, gathering subject data into a database for each unit performed, and providing awards to the subject for each unit completed wherein rewards are diversified through monetary based rewards and social capital based rewards. Sensors can be worn to monitor the progress of the subject participating in an activity, competition, or challenge, and the method can provide real time feedback of data gathered to the subject.

Abstract: A muscle assessment method utilizing a computing system, surface electromyometry (sEMG) sensors, and other sensors to gather data for one or more subjects engaged in an activity through operably coupling the one or more sensors to the computing system, and directing a computing system to select one or more muscle assessment protocols related to a number of different metrics. For a user subject engaged in a physical activity, assessing muscle condition, the muscle activity, and statistically related averages provide information to the user and about muscle and whole body fitness.

Abstract: Systems and methods are provided for evaluating the risk of stress-related injury associated with a predetermined activity. One embodiment involves collecting physiological data while a subject performs a predetermined task, collecting psychological data while the subject performs a cognitive task, and ascertaining the risk of stress-related injury based on both the collected physiological data and the collected psychological data. Another embodiment involves presenting a subject with a plurality of mental and physical tasks during which physiological data, psychological data, and/or both is collected, and determining the risk of stress-related injury based on the data collected. Yet another embodiment includes a test circuit for measuring stress responses that includes both physiological test stations and psychological test stations. Physiological stress is evaluated in the form of surface electromyography data that is quantified into a single index value, as will be described in detail herein.

Abstract: Systems and methods are provided for evaluating the risk of stress-related injury associated with a predetermined activity. One embodiment involves collecting physiological data while a subject performs a predetermined task, collecting psychological data while the subject performs a cognitive task, and ascertaining the risk of stress-related injury based on both the collected physiological data and the collected psychological data. Another embodiment involves presenting a subject with a plurality of mental and physical tasks during which physiological data, psychological data, and/or both is collected, and determining the risk of stress-related injury based on the data collected. Yet another embodiment includes a test circuit for measuring stress responses that includes both physiological test stations and psychological test stations. Physiological stress is evaluated in the form of surface electromyography data that is quantified into a single index value, as will be described in detail herein.