4 results about "BMR measurement" patented technology

An electrical muscle stimulation (EMS) device for the soleus muscle group includes an electrical stimulation generating unit, a working mode setting module, and an electrical stimulation output control module. The electrical stimulation generating unit generates an electrical stimulation signal. The working mode setting module configures at least one working mode, including configuring the frequency and duration of the electrical stimulation signal. The frequency of the electrical stimulation signal is within a preset frequency range, and the duration of the electrical stimulation signal is within a preset time range. The upper limit of the frequency range is less than a first threshold, and the lower limit of the time range is greater than a second threshold, thereby increasing the basal metabolic rate of the soleus muscle group. The electrical stimulation output control module transmits the electrical stimulation signal to the soleus muscle group according to one of the working modes configured by the working mode setting module. This addresses the technical problem that existing EMS devices have limited effectiveness in increasing basal metabolic rate and struggle to achieve sustained and effective metabolic enhancement.

The application discloses a kind of childbirth process energy consumption monitoring and individualized energy demand management system, including multimodal perception layer, transmission layer, computing layer and application decision layer, multimodal perception layer includes multimodal data acquisition module and non-invasive metabolism monitoring module, and the physiological sign parameter of pregnant woman is collected using wearable sensor array in multimodal data acquisition module, and non-invasive metabolism monitoring module carries out collection to tissue oxygenation data, body fluid distribution and metabolism data and oxygen consumption and carbon dioxide production data, computing layer establishes individual basal metabolic rate model by intelligent computing module, and calculates total energy consumption of labor, and then balanced state is calculated by dynamic energy demand prediction model, and application decision layer generates individualized nutrition supplement scheme according to the data of computing layer, triggers multi-level early warning and pushes clinical decision suggestion, and the application realizes real-time accurate monitoring of childbirth process energy consumption, individualized energy demand prediction and dynamic nutrition supplement.

The application discloses a cooking method and a cooking device. The method comprises the following steps: obtaining a basal metabolic rate of a target user, a current activity state, an activity coefficient corresponding to the current activity state, and current cooking temperatures and current cooking times corresponding to a plurality of cooking materials respectively; determining a real-time metabolic rate based on the basal metabolic rate and the activity coefficient; performing metabolic rate comparison based on the real-time metabolic rate and a metabolic rate threshold to obtain a metabolic comparison result; then adjusting the current cooking temperatures and the current cooking times corresponding to the plurality of cooking materials respectively based on the real-time metabolic rate and the metabolic comparison result to obtain target cooking temperatures and target cooking times corresponding to the plurality of cooking materials respectively; and performing cooking on the corresponding cooking materials based on the target cooking temperatures and the target cooking times corresponding to the plurality of cooking materials respectively. The technical scheme provided by the application improves the real-time and accuracy of determining the real-time metabolic rate, and improves the adaptability and real-time of cooking to the user's demand.

FIELD: pediatrics; endocrinology.SUBSTANCE: invention can be used to predict the development of idiopathic precocious development (IPD) in obese girls under 9 years of age. The method includes determining the patient's height and BMI. Then, bioimpedance analysis is performed and the basal metabolic rate (BM), percentage of adipose tissue, active cellular mass (ACM) and skeletal muscle mass (SMM), and the proportion of SMM are determined. In addition, X-rays of the hands are performed and bone age is determined using the Greulich atlas. Furthermore, with normal values of BM, percentage of body fat and ACM, elevated values of BMI, SMM, proportion of SMM, the presence of tall stature and bone age ahead of biological age by 1-3 years, the development of IPD is predicted in girls with obesity up to 9 years of age.EFFECT: method is simple, accessible, and allows for the effective prediction of the development of IPD in obese girls.1 cl, 2 ex