Microprocessor-Based Memory Device for Ambulatory Heart Rate and Physical Activity Recording

Abstract

Abstract:Using microprocessor techniques, a portable digital memory device has been designed for the ambulatory monitoring of heart rate and physical activity. The device consists of a microprocessor, an ECG amplifier to record the heart rate and an accelerometerto detect the physical activity. This accelerometer is piezoresistive and is suitable for ambulatory physical activity recording, because this sensor requires low electrical power, has high durability and wide frequency response (DC~1.2 kHz). Changes in hearti rates and physical activity in daily life have been successfully recorded.

Monitoring and Real-time Interpretation II

“…The paper by Makikawa et al [4] concerns the development of an ambulatory memory device, MICRO, for the recording of multiple biosignals, using microprocessor techniques. The device can be used for real-time signal processing, data compression and complex operations such as on-line alarm generation.…”

“…One such approach may be chaos theory, or to use higher-order statistics such as in bispectra. The first three papers of the five in this Section, all aim at the real-time interpretation of biosignals [1][2][3][4][5]. The papers use different ingenious approaches, such as those used in non-linear , dynamic systems theory or for the estimation of recursive autoregressive (AR) parameters, for the real-time interpretation of cardiovascular signals.…”

Automatic Heart Rate Normalization for Accurate Energy Expenditure Estimation

“…The reduced Physical Activity Level (PAL) in most western countries is causing new epidemics such as obesity and diabetes to spread [2]. Ubiquitous technologies, such as accelerometers and Heart Rate (HR) monitors [3], started providing unprecedented insights into links of PA and health. Early epidemiological research focused on developing single models or branched equations combining accelerometer and HR data to predict EE [4 -6].…”

“…The limitation of these methods include that a single accelerometer worn close to the body center of mass cannot detect low and upper body motion [7], the reduced relevance of HR during sedentary behavior and the need for individual calibration [6]. By introducing activity-specific models, consisting of a two-step process, where first an activity is recognized, and then an EE estimation model is applied, researchers were able to tackle some of these limitations [3,5]. The relation between EE and acceleration as well as HR is peculiar of a specific context (e.g.…”

Development of a System for Measurement and Analysis of Tremor Using a Three-axis Accelerometer

“…For example, if the controller is rotated, the gravity accelerometer affects the values on the x, y and z axes. The same type of accelerometer has been used to record physical activity [25,26]. Therefore, to evaluate the tremor movement, the gravitational acceler-…”