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157 results about "EXTREMITY TREMOR" patented technology

Cerebellar tremor (also known as intention tremor) is a slow, broad tremor of the extremities that occurs at the end of a purposeful movement, such as trying to press a button or touching a finger to the tip of one’s nose.

Modified release compositions of milnacipran

A once-a-day oral milnacipran modified release formulation has been developed. The formulation comprises an extended release dosage unit (optionally containing the immediate release portion) coated with delayed release coating. The milnacipran composition, when administered orally, first passes through the stomach releasing from zero to less than 10% of the total milnacipran dose and then enters the intestines where drug is released slowly over an extended period of time. The release profile is characterized by a 0.05-4 hours lag time period during which less than 10% of the total milnacipran dose is released followed by a slow or extended release of the remaining drug over a defined period of time. The composition provides in vivo drug plasma levels characterized by Tmax at 4-10 hours and an approximately linear drop-off thereafter and Cmax below 3000 ng / ml, preferably below 2000 ng / ml, and most preferably below 1000 ng / ml. The composition allows milnacipran to be delivered over approximately 24 hours, when administered to a patient in need, resulting in diminished incidence or decreased intensity of common milnacipran side effects such as sleep disturbance, nausea, vomiting, headache, tremulousness, anxiety, panic attacks, palpitations, urinary retention, orthostatic hypotension, diaphoresis, chest pain, rash, weight gain, back pain, constipation, vertigo, increased sweating, agitation, hot flushes, tremors, fatigue, somnolence, dyspepsia, dysoria, nervousness, dry mouth, abdominal pain, irritability, and insomnia.
Owner:COLLEGIUM PHARMA INC

Wearable robot for detecting and suppressing tremor of human arms and method for suppressing tremor thereof

The invention discloses a wearable robot for detecting and suppressing tremor of human arms and a method for suppressing the tremor thereof. The robot comprises a wearable exoskeleton system, a tremor excitation system, a tremor movement detection system and a signal processing and control system. The invention provides a comprehensively utilized 'three closed loop' mixed tremor suppression strategy based on the biological force loading technology and the functional neuromuscular stimulation technology. When the tremor patients carry out daily activities such as writing, raising arms and the like, the tremor movement detection system senses the movement information of the arms and isolates tremor movement signals from normal movement signals through the 'two-stage' adaptive prediction filtering algorithm; the 'three closed loop' tremor movement suppression control strategy is adopted to respectively control a functional neuromuscular stimulation device and a DC motor system to generate tremor movement with the same amplitude and 'opposite' phase positions so as to achieve the aim of suppressing arm tremor of the patients and improve the quality of lives of the tremor patients.
Owner:HEFEI INSTITUTES OF PHYSICAL SCIENCE - CHINESE ACAD OF SCI

Wearable human arm tremor detection device and signal processing method thereof

The invention relates to a wearable human arm tremor detection device and a signal processing method thereof. The device comprises a tremor signal detection system and a tremor signal processing system; wherein, the tremor signal detection system comprises an elbow joint tremor detection system, a wrist joint tremor detection system and a hand tremor detection system; the detection systems adopt independent modular structures; DSP processor units in the detection systems are connected with own sensor modules, wireless communication units and power supply units; the tremor signal processing system comprises a DSP central processing unit and a wireless communication unit as well as a display, which are connected with the DSP central processing unit; the DSP processor unit in the detection system is connected with the DSP central processing unit in the tremor signal processing system by the wireless communication unit. The tremor signal processing method adopts the 'two-stage' adaptive filtering algorithm to obtain the normal movement information and the tremor movement information of the arms of the patients. The device adopts the elbow-wrist-hand type wearing structure and detects the arm tremor information of the tremor patients in real time.
Owner:HEFEI INSTITUTES OF PHYSICAL SCIENCE - CHINESE ACAD OF SCI

Method for quantitatively evaluating symptoms of tremor of patient with Parkinson's disease according to approximate entropy and cross approximate entropy

The invention provides a method for quantitatively evaluating the symptoms of tremor of a patient with Parkinson's disease according to the approximate entropy and the cross approximate entropy, belonging to the fields of health care and pattern recognition. The method is characterized by comprising the following steps of: collecting the data of specified tremor of the thumb, collecting the data of specified tremor of the index finger, and grading the specified tremor of the thumb and the specified tremor of the index finger according to a UPDRS (unified Parkinson's disease rating scale); preprocessing the data of tremor; separating a sample training set from a sample testing sample; calculating the approximate entropy and the cross approximate entropy of the data of tremor; constructing the model of a classifier, and verifying the effectiveness of a method. The regularity and the synchronization of the tremor of the patient with Parkinson's disease are disclosed effectively according to the approximate entropy and the cross approximate entropy, and the symptoms of tremor can be accurately and quantitatively classified according to the tremor amplitude, the tremor frequency and other characteristics of the patient. The method is used for objectively evaluating the symptoms of tremor of the patient with Parkinson's disease, and can be applied to the fields of treatment and rehabilitation assessment of the patient with Parkinson's disease and the like.
Owner:HEFEI INSTITUTES OF PHYSICAL SCIENCE - CHINESE ACAD OF SCI +1
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