Abstract: Disclosed are systems and methods for using one or more light sources and associated photodetectors to determine different physiological parameters of a subject based on the subject's activity state. A processor may, for example, be configured to determine, based at least in part on data received from an accelerometer at a first time, that a first physiological parameter of the subject is to be determined, to cause the light source(s) to operate in a first manner and process signals from the photodetector(s) to determine the first physiological parameter, to determine, based at least in part on data received from the accelerometer at a second time, that a second physiological parameter of the subject is to be determined, and to cause the light source(s) to operate in a second manner and process signals from the photodetector(s) to determine the second physiological parameter.

Abstract: A health-monitor patch comprising at least one physiological sensor and digital processor is configured to be adhered to the skin of a subject. A health-monitor patch may further include an accelerometer and may detect cardiac waveforms, activity performed by the subject, and a body orientation of the subject. A health-monitor patch may be disposable, in some embodiments, and used fox outpatient monitoring. Aspects of noise cancellation and reel-to-reel manufacturing are also described.

Abstract: Apparatuses and methods are disclosed for identifying with a single, small, intelligent activity monitor a particular type of activity from among a plurality of different activities. The monitor may include a multi-axis accelerometer and microcontroller configured to combine and process accelerometer data so as to generate features representative of an activity. The features may be processed to identify a particular activity (e.g., running, biking, swimming) from among a plurality of different activities that may include activities not performed by a human subject. An intelligent activity monitor may be configured to operate as a versatile sensor, or to operate in combination with a versatile sensor, to further receive and process physiological data and compute a fitness metric for a subject.

Abstract: A health-monitor patch comprising at least one physiological sensor and digital processor is configured to be adhered to the skin of a subject. A health-monitor patch may further include an accelerometer and may detect cardiac waveforms, activity performed by the subject, and a body orientation of the subject. A health-monitor patch may be disposable, in some embodiments, and used fox outpatient monitoring. Aspects of noise cancellation and reel-to-reel manufacturing are also described.

Abstract: Apparatuses and methods are disclosed for identifying with a single, small, intelligent activity monitor a particular type of activity from among a plurality of different activities. The monitor may include a multi-axis accelerometer and microcontroller configured to combine and process accelerometer data so as to generate features representative of an activity. The features may be processed to identify a particular activity (e.g., running, biking, swimming) from among a plurality of different activities that may include activities not performed by a human subject. An intelligent activity monitor may be configured to operate as a versatile sensor, or to operate in combination with a versatile sensor, to further receive and process physiological data and compute a fitness metric for a subject.

Abstract: A health-monitor patch comprising at least one physiological sensor and digital processor is configured to be adhered to the skin of a subject. A health-monitor patch may further include an accelerometer and may detect cardiac waveforms, activity performed by the subject, and a body orientation of the subject. A health-monitor patch may be disposable, in some embodiments, and used for outpatient monitoring. Aspects of noise cancellation and reel-to-reel manufacturing are also described.

Abstract: A health-monitor patch comprising at least one physiological sensor and digital processor is configured to be adhered to the skin of a subject. A health-monitor patch may further include an accelerometer and may detect cardiac waveforms, activity performed by the subject, and a body orientation of the subject. A health-monitor patch may be disposable, in some embodiments, and used for outpatient monitoring. Aspects of noise cancellation and reel-to-reel manufacturing are also described.

Abstract: Apparatuses and methods are disclosed for monitoring and evaluating exercise-related activities performed by a subject. A health monitor comprising an accelerometer, at least one physiological sensor, and digital processor is configured to be supported by a subject and identify an activity type (e.g., running, biking, swimming) from among a plurality of different activities. The health monitor is further configured to determine from motion data and/or cardiac data levels of health benefits received from the exercise. The health benefits may be based on standards established by recognizable health entities, so that the reported health benefits are less susceptible to errors associated with conventional step counting.

Abstract: Apparatuses and methods are disclosed for identifying with a single, small, intelligent activity monitor a particular type of activity from among a plurality of different activities. The monitor may include a multi-axis accelerometer and microcontroller configured to combine and process accelerometer data so as to generate features representative of an activity. The features may be processed to identify a particular activity (e.g., running, biking, swimming) from among a plurality of different activities that may include activities not performed by a human subject. An intelligent activity monitor may be configured to operate as a versatile sensor, or to operate in combination with a versatile sensor, to further receive and process physiological data and compute a fitness metric for a subject.

Abstract: Apparatuses and methods are disclosed for identifying with a single, small, intelligent activity monitor a particular type of activity from among a plurality of different activities. The monitor may include a multi-axis accelerometer and microcontroller configured to combine and process accelerometer data so as to generate features representative of an activity. The features may be processed to identify a particular activity (e.g., running, biking, swimming) from among a plurality of different activities that may include activities not performed by a human subject. An intelligent activity monitor may be configured to operate as a versatile sensor, or to operate in combination with a versatile sensor, to further receive and process physiological data and compute a fitness metric for a subject.