Parmod Kumar

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Social networking sites pervade the World Wide Web and have millions of users worldwide. This provides ample opportunity for brands and organisations to reach out to a large and diverse audience. They do so by creating content and spreading it across the social network. Most popular social networks follow a timeline based homepage to display such content to(More)
Extracting or estimating skeletal hand/finger forces using surface electro myographic (sEMG) signals poses many challenges due to cross-talk, noise, and a temporal and spatially modulated signal characteristics. Normal sEMG measurements are based on single sensor data. In this paper, array sensors are used along with a proposed sensor fusion scheme that(More)
The study was conducted with the aim of studying the wives of patients with psychosexual dysfunction with regard to the level of distress experienced and its relationship with their psychosocial dysfunction and marital adjustment. The sample comprised wives of 30 male patients with psychosexual dysfunction. Majority of the subjects was under matriculate,(More)
Abstract—This paper presents surface electromyographic (sEMG)-based, real-time Model Reference Adaptive Control (MRAC) strategy for a prosthetic hand prototype. The proposed design is capable of decoding the prerecorded sEMG signal as well as the sensory force feedback from the sensors to control the force of the prosthetic hand prototype using a PIC(More)
Skeletal muscle force can be estimated using surface electromyographic (sEMG) signals. Usually, the surface location for the sensors is near the respective muscle motor unit points. Skeletal muscles generate a spatial EMG signal, which causes cross talk between different sEMG signal sensors. In this study, an array of three sEMG sensors is used to capture(More)
This paper presents an intelligent adaptive neurofuzzy inference system (ANFIS) based fuzzy Mamdani controller for a multifingered prosthetic hand. The objective of the controller is to move the finger joint angles along predetermined paths representing a grasping motion. The initiation of the grasping task is evaluated via EMG-entropy data, measured at the(More)
AIM The present study was undertaken to ascertain the incidence and clinical vital parameters in cases of primary ketosis in Murrah buffaloes brought to teaching veterinary clinical complex, Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar and from adjoining villages of the district Hisar, Haryana, India. MATERIALS AND METHODS The(More)
AIM Anaplasma marginale is a rickettsial pathogen responsible for progressive anemia in ruminants leading to huge economic losses. The objectives of this cross-sectional study were to determine the prevalence of anaplasmosis and therapeutic evaluation of traditional line of treatment. MATERIALS AND METHODS A total of 168 cattle presented to Teaching(More)
Precise and effective prosthetic control is important for its applicability. Two desired objectives of the prosthetic control are finger position and force control. Variation in skeletal muscle force results in corresponding change of surface electromyographic (sEMG) signals. sEMG signals generated by skeletal muscles are temporal and spatially distributed(More)
This paper presents a novel approach for the signal acquisition and processing using an embedded platform. A PIC 32 microcontroller is used to acquire Surface Electromyographic (sEMG) signals and the corresponding skeletal muscle force signal for the respective motor point in this case, for the ring finger of the dominant hand of a healthy subject. The data(More)