172 lines
6.3 KiB
Python
172 lines
6.3 KiB
Python
import numpy as np
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import matplotlib.pyplot as plt
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packet_definitions = b"""packet_rtc 1 28 uint32_t t 0 4 RTC_TimeTypeDef sTime 4 20 RTC_DateTypeDef sDate 24 4
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packet_vbatt 2 8 uint32_t t 0 4 uint16_t vbatt_cnts 4 2
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packet_imu 3 148 uint32_t t 0 4 uint8_t data[141] 4 1
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packet_adc 4 268 uint32_t t 0 4 uint8_t index 4 1 int32_t ekg_readings_cnts[50] 8 4 int32_t str_readings_cnts[5] 208 4 int32_t oT_readings_cnts[5] 228 4 int32_t iT_readings_cnts[5] 248 4
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packet_spo2 5 184 uint32_t t 0 4 uint8_t bytes[180] 4 1
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packet_msg 6 36 uint32_t t 0 4 char buff[32] 4 1""".split(b'\n')
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def arr_sizes(s):
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if s[-1:] != b']' or b'[' not in s:
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return 1
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v = int(s[s.rindex(b'[') + 1:-1])
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return v
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def get_type_list(lines):
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types = []
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for line in lines:
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if line != b'':
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L = line.split(b" ")
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types.append({'type_name' : L[0],
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'type_code' : int(L[1]),
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'size' : int(L[2]),
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'elements' : []
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})
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i = 3
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while i < len(L):
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types[-1]['elements'].append({'type_name' : L[i], 'name' : L[i + 1], 'offset' : int(L[i + 2]), 'n_elements' : arr_sizes(L[i + 1]), 'size' : int(L[i + 3]) * arr_sizes(L[i + 1])})
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i += 4
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return types
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def my_filter(arr):
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inds = np.where(np.abs(np.diff(arr)) > 0.005)[0]
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for ind in inds:
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prev_ind = ind - 1
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while prev_ind in inds:
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prev_ind -= 1
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next_ind = ind + 1
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while next_ind in inds:
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next_ind += 1
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arr[ind] = 0.5 * arr[prev_ind] + 0.5 * arr[next_ind]
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return arr
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reds = []
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irs = []
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greens = []
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def process_ppg(d, t):
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global greens, reds, irs
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for e in t['elements']:
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block = d[e['offset']:e['offset'] + e['size']]
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element_size = int(len(block) / e['n_elements'])
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if e['name'] == b'bytes[180]':
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reds += [int.from_bytes(block[3 * i : 3 * i + 3], byteorder = 'big') for i in range(0,60,3)]
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irs += [int.from_bytes(block[3 * i : 3 * i + 3], byteorder = 'big') for i in range(1,60,3)]
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greens += [int.from_bytes(block[3 * i : 3 * i + 3], byteorder = 'big') for i in range(2,60,3)]
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if len(reds) > 400:
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reds = reds[-400:]
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irs = irs[-400:]
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greens = greens[-400:]
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fig, axs = plt.subplots(3)
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axs[0].set_title('red')
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axs[1].set_title('ir')
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axs[2].set_title('green')
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axs[0].plot(reds)
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axs[1].plot(irs)
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axs[2].plot(greens)
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plt.savefig("ppg.png")
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plt.close()
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accs = []
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gyros = []
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def process_imu(d, t):
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global accs, gyros
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for e in t['elements']:
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block = d[e['offset']:e['offset'] + e['size']]
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element_size = int(len(block) / e['n_elements'])
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if e['name'] == b'data[141]':
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for i in range(20):
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reading = block[1 + 7 * i : 8 + 7 * i]
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#print(reading)
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imu_reading_type = reading[0] >> 3
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imu_reading_tag_cnt = (reading[0] >> 1) & 3
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data = np.array([int.from_bytes(reading[2 * i + 1 : 2 * i + 3], byteorder = 'little', signed = True) for i in range(3)])
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if imu_reading_type == 1:
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gyros.append(250 / (1<<16) * data)
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elif imu_reading_type == 2:
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accs.append(4 / (1<<16) * data)
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else:
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pass
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#assert False
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if len(gyros) > 400:
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gyros = gyros[-400:]
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if len(accs) > 400:
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accs = accs[-400:]
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fig, axs = plt.subplots(2)
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g = np.array(gyros)
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a = np.array(accs)
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axs[0].set_ylabel("dps")
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axs[0].plot(g[:,0])
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axs[0].plot(g[:,1])
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axs[0].plot(g[:,2])
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axs[1].set_ylabel("g")
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axs[1].plot(a[:,0])
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axs[1].plot(a[:,1])
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axs[1].plot(a[:,2])
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plt.savefig("acc_gyro.png")
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plt.close()
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ecgs = []
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t1s = []
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t2s = []
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strains = []
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def process_adc(d, t):
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global ecgs, t1s, t2s, strains
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for e in t['elements']:
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block = d[e['offset']:e['offset'] + e['size']]
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element_size = int(len(block) / e['n_elements'])
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if e['name'] == b'ekg_readings_cnts[50]':
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ecgs = ecgs + [(2.4 / (1<<24)) * int.from_bytes(block[4 * i : 4 * i + 4], byteorder = 'little', signed = True) for i in range(50)]
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if len(ecgs) > 200:
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ecgs = ecgs[-2048:]
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t1s = t1s[-205:]
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t2s = t2s[-205:]
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strains = strains[-205:]
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fig, axs = plt.subplots(4)
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axs[0].set_title("ECG")
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axs[1].set_title("Strain")
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axs[2].set_title("oT")
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axs[3].set_title("iT")
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axs[0].plot(ecgs)
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axs[1].plot(strains)
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axs[2].plot(t1s)
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axs[3].plot(t2s)
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plt.savefig("adcs.png")
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plt.close()
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if e['name'] == b'str_readings_cnts[5]':
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strains = strains + [(2.4 / (1<<24)) * int.from_bytes(block[4 * i : 4 * i + 4], byteorder = 'little', signed = True) for i in range(5)]
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if e['name'] == b'oT_readings_cnts[5]':
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t1s = t1s + [(2.4 / (1<<24)) * int.from_bytes(block[4 * i : 4 * i + 4], byteorder = 'little', signed = True) for i in range(5)]
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if e['name'] == b'iT_readings_cnts[5]':
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t2s = t2s + [(2.4 / (1<<24)) * int.from_bytes(block[4 * i : 4 * i + 4], byteorder = 'little', signed = True) for i in range(5)]
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def read_and_process(types, cons, size):
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index = 0
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while (index < size):
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packet_type = cons[index]
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print(packet_type)
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try:
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t = [t for t in types if t['type_code'] == packet_type][0]
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except:
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print("HERE")
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print(cons[index-5:index+5])
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quit()
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return
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print(index, packet_type, t['type_name'])
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d = cons[index + 1 : index + 1 + t['size']]
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if t['type_name'] == b'packet_imu':
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process_imu(d, t)
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if t['type_name'] == b'packet_msg':
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print(d)
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if t['type_name'] == b'packet_adc':
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process_adc(d, t)
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if t['type_name'] == b'packet_spo2':
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process_ppg(d, t)
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index += 1 + t['size']
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