Muhammad Farooq

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Objective monitoring of food intake and ingestive behavior in a free-living environment remains an open problem that has significant implications in study and treatment of obesity and eating disorders. In this paper, a novel wearable sensor system (automatic ingestion monitor, AIM) is presented for objective monitoring of ingestive behavior in free living.(More)
PURPOSE This study was designed to formulate and evaluate the anti-sebum secretion effects of a topical skin-care cream (w/o emulsion) of sea buckthorn versus its vehicle (Base) as control. MATERIALS AND METHODS Concentrated sea buckthorn (H.rhamnoides) fruit extract was entrapped in the inner aqueous phase of w/o emulsion. Base containing no extract and(More)
Many methods for monitoring diet and food intake rely on subjects self-reporting their daily intake. These methods are subjective, potentially inaccurate and need to be replaced by more accurate and objective methods. This paper presents a novel approach that uses an electroglottograph (EGG) device for an objective and automatic detection of food intake.(More)
The new SystemC-AMS extension to SystemC provides the workbench for the design and modeling of Analog Mixed Signal (AMS) Systems. This new extension also delivers the efficient simulation performance. This paper explores a design methodology based upon SystemC-AMS for the modeling and simulation of analog mixed signal path for embedded applications. The(More)
Augmenter of Liver Regeneration (ALR) is a sulfhydryl oxidase carrying out fundamental functions facilitating protein disulfide bond formation. In mammals, it also functions as a hepatotrophic growth factor that specifically stimulates hepatocyte proliferation and promotes liver regeneration after liver damage or partial hepatectomy. Whether ALR also plays(More)
Results of recent research suggest that there may be a relationship between the eating rate and the total energy intake in a meal. The chewing rate is an indicator of the eating rate that may be measured by a sensor. A number of wearable solutions have been presented for the automatic detection of chewing, but little work has been done on counting chews(More)
Selection of the most representative features is important for any pattern recognition system. This paper investigates the importance of time domain (TD) and frequency domain (FD) features used for automatic food intake detection in a wearable sensor system by using Random Forests classification. Features were extracted from signals collected using 3(More)