Abstract: A computer-implemented method for assessing a level of dyspnea in a patient is provided. The method includes measuring physical activity of the patient over a period of time with an activity monitor to gather physical activity data; measuring respiration rate of the patient over the period of time with a respiration rate sensor to gather respiration rate data; administering a questionnaire to gather clinical information of the patient; and executing, on one or more computer processors, one or more computer program modules to determine a dyspnea value for the patient based on the respiration rate data, the physical activity data, and the clinical information of the patient. The dyspnea value is representative of the level of dyspnea in the patient.

Abstract: A system and method for predicting an onset of an exacerbation in a patient is provided. The method includes monitoring core body temperature of the patient; monitoring breath temperature of the patient; calculating a relationship, or a change in relationship, between the core body temperature and the breath temperature of the patient; and detecting the onset of the exacerbation, when the calculated relationship, or a change in relationship, satisfies a predetermined criteria.

Abstract: A system (200) for providing an exercise training plan for a patient is provided. The system includes a sensor (202, 204, 206, 208, 210, 212), and a processor (214) operatively connected to the at least one sensor. The sensor measures physiological parameter of the patient. The processor is configured to: a) receive health information data representative of patient information and patient symptoms; b) receive physiological data from the at least one sensor; c) devise the exercise training plan for the patient based on the health information data and the physiological data; d) monitor the physiological data, during the exercise training of the patient to determine if the physiological data is within a predetermined range; and e) modify the exercise training plan for the patient if the physiological data is outside the predetermined range.

Abstract: Embodiments of the invention provide for a health monitoring system comprising an activity monitor. The health monitoring system further comprises a processor and a memory for storing machine readable instructions. The instructions cause the processor to derive activity counts from the activity data acquired by the activity monitor. The instructions further cause the processor to store the activity counts in the memory, and are associated with a time. The instructions further cause the processor to calculate at least two statistical parameters from the activity counts, wherein the at least two statistical parameters are descriptive of the activity counts as a function of time. The instructions further causes the processor to calculate a risk score for each of the at least two statistical parameters. The instructions further cause the processor to calculate a total risk score using the risk score for each of the at least two statistical parameters.

Abstract: A system (200) for providing an exercise training plan for a patient is provided. The system includes a sensor (202, 204, 206, 208, 210, 212), and a processor (214) operatively connected to the at least one sensor. The sensor measures physiological parameter of the patient. The processor is configured to: a) receive health information data representative of patient information and patient symptoms; b) receive physiological data from the at least one sensor; c) devise the exercise training plan for the patient based on the health information data and the physiological data; d) monitor the physiological data, during the exercise training of the patient to determine if the physiological data is within a predetermined range; and e) modify the exercise training plan for the patient if the physiological data is outside the predetermined range.

Abstract: A computer-implemented system and method for determining a BODE index value for a patient is provided. The method includes using a Body Mass Index (BMI) measuring device to obtain BMI data. An airway obstruction measuring device measures airway obstruction of the patient to obtain airway obstruction data. A respiration rate sensor measures a respiration rate of the patient and to obtain respiration rate data. An activity monitor measures physical activity of the patient and to obtain physical activity data. A processor executes a computer program module to determine the BODE index value for the patient based on the Body Mass Index data, the airway obstruction data, the respiration rate data, and the physical activity data.

Abstract: A computer-implemented method for predicting an onset of an exacerbation in a COPD patient is provided. The method includes measuring physical activity of the patient over a period of time to gather physical activity data; measuring a respiration characteristic of the patient over the period of time to gather respiration data; and executing, on one or more computer processors, one or more computer program modules to detect the onset of the exacerbation based on predetermined criteria, wherein the predetermined criteria comprises a comparison of a change in the respiration data with a change in the physical activity data.

Abstract: A computer-implemented method for providing a questionnaire to a patient based on patient's current health condition is provided. The method includes measuring physical activity of the patient with an activity monitor; measuring respiration rate with a respiration rate sensor; measuring heart rate with a heart rate monitor; measuring cough frequency with a cough frequency monitor; and executing, on the processor of the computer system, one or more computer program modules configured to generate a questionnaire to gather information from the patient. The questionnaire comprises a set of questions that are based the gathered physical activity data, respiration rate data, heart rate data, cough frequency data, or any combination thereof.

Abstract: Subject of the invention is the diagnosis and/or monitoring of chronic obstructive pulmonary disease based on sputum rheology. The complex modulus i.e. the viscous modulus and the elastic modulus of sputum is measured and assessed in respect of chronic obstructive pulmonary disease.

Abstract: A computer-implemented method for assessing a level of dyspnea in a patient is provided. The method includes measuring physical activity of the patient over a period of time with an activity monitor to gather physical activity data; measuring respiration rate of the patient over the period of time with a respiration rate sensor to gather respiration rate data; administering a questionnaire to gather clinical information of the patient; and executing, on one or more computer processors, one or more computer program modules to determine a dyspnea value for the patient based on the respiration rate data, the physical activity data, and the clinical information of the patient. The dyspnea value is representative of the level of dyspnea in the patient.

Abstract: A system and method for predicting an onset of an exacerbation in a patient is provided. The method includes monitoring core body temperature of the patient; monitoring breath temperature of the patient; calculating a relationship, or a change in relationship, between the core body temperature and the breath temperature of the patient; and detecting the onset of the exacerbation, when the calculated relationship, or a change in relationship, satisfies a predetermined criteria.