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)
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)
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)
Research shows that rapid weight gain in infancy is associated to the development of obesity at a later stage in life. Feeding behavior in infants contributes to the rapid weight in early life. Sucking counts can be used to quantify the feeding behavior in infants. This paper presents a new signal processing algorithm to estimate sucking counts in infants(More)
Colorectal cancer is a common type of cancer in developed countries and is an important public health problem. Patients with colorectal cancer presents in a variety of ways in different settings. Most commonly, they present in the outpatient settings with changes in bowel habits, rectal bleeding and iron deficiency anaemia. This case reports an atypical(More)